GrowthHackers.com https://growthhackers.com Invite‑only community for the world's top growth leaders Wed, 13 Dec 2023 18:28:19 +0000 en-US hourly 1 https://wordpress.org/?v=6.4.3 https://growthhackers.com/wp-content/uploads/2022/12/cropped-Growth-Software-Logo-32x32.png GrowthHackers.com https://growthhackers.com 32 32 Python for Growth: How Python Can Supercharge Growth Marketing  https://growthhackers.com/growth-hacking/python-for-growth-marketers/?utm_source=rss&utm_medium=rss&utm_campaign=python-for-growth-marketers Wed, 19 Jul 2023 17:54:38 +0000 https://growthhackers.com/?p=4318 Python is a programming language that can be applied to

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Python is a programming language that can be applied to various growth-related tasks. It can be used in marketing and analytics to automate processes, manipulate data, and make informed decisions. Python offers flexibility and a wide range of functionalities. It can be used for automation, data analysis, prediction, clustering, segmentation, forecasting, and budget optimization, and much more. 

If you want to learn how Python can become an unavailable tool for growth marketers, and get pointers on how to get started, this article is for you.

Why Python and not another language?

Python is an extremely flexible language, you can build websites, create automation, run scripts, and a lot more. From a data science perspective, Python is the main language, so if you have a data science team to back you up, it is in a format they can use and already understand.

There is also a massive community around Python. Pretty much everything you want to do, someone probably has already done before, all the problems you are trying to solve, probably somebody has tacked before, and succeded. Another big point for Python is that the work you do with it is scalable, and you can later add automation, connect to multiple systems, or even build into full applications.

Python is also the way forward to manipulate large amounts of data sets, and turn them into valuable information that will inform business decisions.

What can growth marketers do with Python?

“Growth is that crossover of data, analytics, and testing.  On the marketing side, understanding the behavioral side and things and being able to leverage that for growth is important, especially in experimentation. How do you get to the data, how do you manipulate it, how do you use it, that’s mostly where Python comes in.  You can do all of that stuff manually, or you can try and figure out how to automate it, how to make decisions without having a human in the loop. Python is a way to save time, it’s a way to connect the dots between disparate systems, it’s a way to get out of Excel spreadsheets and huge formulas.” Alistair Allan

Overall, Python provides growth marketers with powerful tools and libraries to automate tasks, analyze data, make predictions, and optimize their marketing strategies and budgets.

Automation

Python allows you to use APIs easily, so you can connect to other services that you can’t use otherwise, and automate these services. Examples of Python automation that can be applied to growth marketing can be anything from pulling data from Google Search Trends, pulling ads data, pulling data out of Google Analytics, from social platforms, and even push to APIs to turn on or off certain campaigns or ads depending on their performance, change your bidding strategies and more. 

Scraping

Python allows marketers to automate data retrieval and manipulation tasks. They can set up scripts to pull data regularly without manual intervention. This saves time and effort. By scraping relevant data from websites, marketers can gather insights and perform analysis. They can extract information from public data sets, competitor websites, or environmental data to understand market trends and make data-driven decisions.

Prediction and Forecasting 

Python offers libraries for building predictive models. Marketers can train models with historical data and use them to make predictions. Python offers libraries like Prophet, which allow marketers to forecast future performance based on historical data. They can use time series analysis and predictive modeling techniques to predict ad performance, customer behavior, and market trends. 

Clustering and Segmentation

With Python, marketers can segment their audience based on various attributes like demographics, behavior, or geographic location. By analyzing customer data using clustering algorithms, they can identify distinct customer segments and tailor their ad campaigns to target each segment effectively. This targeted approach optimizes ad spend by reaching the most relevant audience.

Linear Optimization

Linear optimization is a mathematical technique used to allocate resources efficiently and optimize decision-making processes. In growth marketing, Python can be used to implement linear optimization algorithms to determine the optimal allocation of resources, based on an objective and a number of constraints. 

Spend Optimization

Python can be used for spend optimization, where growth marketers allocate their budget based on performance data. They can use linear optimization techniques to determine the optimal allocation of resources across channels, campaigns, or ad groups.

Data Analysis and Visualization

Python, along with libraries like pandas, provides powerful tools for data analysis. Marketers can manipulate and analyze large datasets (which a simple sheet won’t support), perform statistical calculations, and gain insights into customer behavior, campaign performance, and market trends. Python offers libraries such as Matplotlib and Seaborn that enable marketers to create visualizations and charts. These visual representations help in presenting data in a clear and understandable manner, making it easier to communicate insights and trends to stakeholders.

Example: Share of Search

I evaluated a popular theory that Share of Search is a good representation of market share using public data. 

You can find my article as well as the full Python code on the following links: 

 

Medium Article 

Google Colab NoteBook

How to Get Started with Python?

There are a lot of courses out there, but these can be overwhelming or often steer you towards web development or go deep into areas where you might not have specific use cases for. Here are 3 recommendations on where to start learning:

1. Python Fundamentals by DataCamp: Great interactive tutorial for getting the basics

2. Learn Python by Scrimba: Great video course covering the basics.

3. Marketing Analytics with Python by DataCamp: A great course for getting some tangible applications of Python for marketers.

The easiest way to get started without needing to install anything is Google Colab. It’s as easy as starting a Google Doc.

 

You combine Text blocks and Code blocks in a sequence. The Text blocks allow you to add documentation while the Code blocks executable. 

If you’re first starting with Python you could benefit from a level of code generation. Visual Python is a Google Colab Add-On that can help you quickly insert common code blocks.

Google Colab will soon introduce AI coding features using Google’s most advanced family of code models, Cogdey.

Mito is similar to a BI tool like Tableau or Looker but as you make transformations it can write the code for you too. 

Mito is not Compatible with Google Colab. 

Libraries Make Python Powerful

The key differentiator in Python is the vast number of libraries that are available that add complex functionality with only a few lines of code.

  1. Pandas: This is Python’s Excel-like library for manipulating datasets.
  2. Matplotlib & Seaborn: Libraries for making charts and data visualization.
  3. Numpy: Matrix operations for dealing with multi-dimensional data
  4. Scikit Learn: The most useful and robust library for machine learning in Python
  5. Advevertools: An open-source Python library for online marketing, SEO, SEM, crawling, text analysis, and more
  6. Pytrends: an unofficial Google Trends API that provides different methods to download reports.
  7. Prophet: Facebook’s open-source forecasting library.

Now It’s Your Turn

I hope this quick guide is an eye-opener for growth marketers on a better way to use their data and optimize their efforts. If you are not familiar with coding, getting started can feel intimidating, and hopefully, this article can help you start in the right direction.

About the Author

Alistair Allan

Alistair has a background in digital marketing, analytics, and growth. He has held positions such as Head of Growth at Square, Head of Digital Marketing and Analytics at Reiss, Head of Digital at Burberry, and Head of Digital at Topshop. Alistair has expertise in using Python for growth marketing and data analysis.

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Gamifying Growth Engagement https://growthhackers.com/growth-hacking/gamifying-growth-engagement/?utm_source=rss&utm_medium=rss&utm_campaign=gamifying-growth-engagement Tue, 11 Jul 2023 18:17:34 +0000 https://growthhackers.com/?p=4289 Once successfully implemented, a growth operation incites innovation from the

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Once successfully implemented, a growth operation incites innovation from the bottom up. Everyone on the basis of the pyramid is able to suggest an idea with a hypothesis. The growth team is responsible for operationalizing it through tests and experiments. And the top is still the decision maker — but, this time around, full of data and insights providing clarity on that decision.

However, achieving success in a growth operation is a complex process. Most successful implementations happened from the top down. High-level executives get educated on the methodology, its applications, and potential outcomes. Middle-level executives build strategies around it. Growth teams run the process around it and boom: you start to catalyze growth.

There’s, however, a big gap between both worlds: companies starting to implement growth and companies with growth in their DNAs. And when crossing that chasm, having understanding, support, and engagement company-wide can make or break your big plans.

In this post, we will distill how some companies are gamifying the process to gain more commitment company-wide:

Amazon Just Do It Awards

In ’98, the customer service team at Amazon had a queue with 250 open tickets. An associate had an idea: whoever could close out 250 inquiries in 24 hours would receive an extra $200.

All tickets were successfully closed. When Jeff Bezos heard about the case, he thought what were the points that made this successful:

  1. She had undertaken the effort on her own initiative. She wasn’t asked to come up with a solution to the problem.
  2. She didn’t ask for permission, which would have slowed down the process
  3. Her idea was well thought
  4. Her idea was a success (the least important point).

The “Just Do It” Award was created right there, aiming at incentivizing two core principles across the company: innovation and bias for action. Bezos himself makes the final decision on who receives the award, which is only bestowed twice a year across the 600,000+ person company and has become one of Amazon’s most coveted honors

Pfizer Dare To Try

If it’s hard enough to encourage experimentation and risk-taking in startups and SMBs, imagine how harder it is for a multinational corporation in the pharma industry. But knowing the potential for impact of such initiatives, as well as the need for speed, innovation, and experimentation, Pfizer didn’t give up.

That’s why 10 years ago, they created the “Dare to Try”: a company-wide program that uses various tools, training sessions, and a network of self-nominated “champions” to fail “freely but inexpensively” until success is found.

Dare to Try has become less a program than a brand, responsible for finding creative solutions to many of the difficulties and puzzles Pfizer encounters as a major organization.

On top of brainstorming solutions to practical problems, Pfizer’s Champions run training programs and act as general “evangelists” within the organization, doing the legwork of extolling innovation and encouraging a culture of experimentation

3M Innovate or Die

Building materials, cleaning supplies, coatings, adhesives, abrasives… chances are you have used at least one of 3M’s products and may not even have noticed. Staying relevant in such a crowded and commoditized space is no easy task. 3M, however, has been able to stay on the top of their league, earning the US government’s highest award for innovation, the National Medal of Technology and consistently ranked in the top 20 in the Most Admired Companies list from Forbes. How did they do it?

One of their listed strengths is: to give employees opportunities, support them, and watch them learn and thrive.
Another initiative is something similar to Amazon’s Day 1 rule: 30% of each division’s revenues must come from products introduced in the last four years.

3M has created measurement and reward systems that tolerate mistakes and encourage success. 3M rewards successful innovators in a variety of ways:

  • the Carlton Society, named after former company president Richard P. Carlton, honors the top 3M scientists who develop innovative new products and contribute to the company’s culture of innovation;
  • the Golden Step is a cash award that recognizes top achievers.
  • the Innovation Mindset in Action Program: focuses on giving promising employees opportunities to learn and grow while providing them with support from senior management. It also encourages collaboration between different departments and teams within the company, allowing them to work together on innovative projects.
  • the 15% Rule: allows employees to spend up to 15% of their working time on projects of their choosing

Google's 20% Project

Google also created its own version of the 15% rule from 3M, but actually added another 5% to it, becoming the 20% Project.

Employees were encouraged to spend up to 20% of their paid work time pursuing other projects. The whole point is to foster innovation and creative thinking (and action).

Based on the products that came out from such a project, we can probably assume it’s a success:

  • Gmail
  • AdSense
  • Google News
  • Google Dremel

Key Takeaways

While the growth methodology is a pretty easy-to-understand step-by-step process, the surroundings that influence a successful growth program should not be neglected. Culture (or behavior), which is often overlooked, might be the one with the biggest weight.

  • Internal ideas are often the ones most likely to succeed.
  • Cross-collaboration projects bringing colleagues from different backgrounds altogether are often the most innovative ones.
  • Bias for action significantly increases the testing volume and velocity, which is directly correlated with successful experiments.
  • Freedom to try and to take risks must be encouraged and promoted company-wide.
  • A safety net culture encourages employees to take risks without the fear of being punished.
  • Incentives must be aligned for action to take place

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Innovation and Disruption: 5 Growth Lessons from Uber, Spotify, and Airbnb https://growthhackers.com/growth-hacking/growth-lessons-uber-spotify-airbnb/?utm_source=rss&utm_medium=rss&utm_campaign=growth-lessons-uber-spotify-airbnb Fri, 02 Jun 2023 13:09:05 +0000 https://growthhackers.com/?p=4210 Uber, AirBnb, and Spotify disrupted their industries, and their growth stories still inspire growth professionals from around the globe. Here are 5 lessons from their early-stage growth you cam still apply today!

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In the age of rapid technological advancements and changing consumer behaviors, companies like UberSpotify, and Airbnb have emerged as pioneers in their respective industries. These disruptors have not only revolutionized their markets but have also demonstrated exceptional growth strategies. 

By analyzing their early growth strategies, we can uncover valuable lessons that can be applied to other businesses seeking accelerated growth today. In this article, we will explore five growth lessons from Uber, Spotify, and Airbnb, diving deeper into each lesson with relevant examples.

Read the full story: Airbnb, Uber, Spotify, HubSpot, Etsy,  Slack, WhatsApp and more. The strategies they used from early start to scale-up!

1. Embrace a Culture of Constant Testing and Learning

Uber, Spotify, and Airbnb recognize the value of continuous learning through experimentation. They prioritize creating an environment where employees are encouraged to explore new ideas, test hypotheses, and learn from both successes and failures. This culture of experimentation allows them to iterate quickly, adapt to changing market dynamics, and identify growth opportunities.

For example, Uber’s success is partly attributed to its willingness to experiment with different service offerings and business models. The company initially started as a high-end black car service but soon expanded into various segments like UberX, UberPOOL, and UberEATS. By experimenting with different offerings and learning from user feedback, Uber refined its services to cater to a broader customer base and maximize growth potential. 

Other remarkable experiments by Uber are the Surge Pricing Experiment, where they experimented with dynamically adjusting prices based on supply and demand, and then later on further tested on adjusting messaging each public. In an effort to reduce costs and increase efficiency, Uber introduced UberPOOL as an experiment. This feature allowed riders traveling in the same direction to share a ride and split the cost. The experiment aimed to test the viability and user acceptance of shared rides, and it eventually became a successful offering that contributed to Uber’s growth.

Airbnb also leveraged experimentation for growth since the very start. Among the many experiments AirBnb runs at any given time, one experiment  from their early days exemplifies how they apply an experimentation  mindset not only to improve conversions but to provide an overall superior experience for hosts and guests.  Recognizing the importance of high-quality photos in attracting guests, Airbnb conducted an experiment where they offered professional photography services to hosts. The experiment aimed to determine whether professional photos could significantly impact booking rates and improve the overall user experience. The results showed that listings with professional photos had higher booking rates, leading Airbnb to incorporate professional photography as a standard offering.

To expand beyond accommodations, AirBnb experimented with the Experiences feature. This allowed hosts to offer unique activities and experiences to travelers, ranging from cooking classes to city tours. The experiment aimed to diversify Airbnb’s offerings and provide users with a more comprehensive travel experience. The success of the Experiences feature led to its integration as a core part of Airbnb’s platform. Today, AirBnb runs over 500 tests consecutively to improve every aspect of their community’s journey. 

Spotify’s growth trajectory is also filled with constant experimentation. A note-worthy example is their personalized playlists. Spotify continuously experiments with personalized playlists to enhance user engagement and satisfaction. They use machine learning algorithms to analyze user listening behavior and preferences, and then create curated playlists tailored to individual tastes. This experiment aimed to test the impact of personalized recommendations on user retention and engagement. The success of personalized playlists became a hallmark feature of Spotify’s platform.

Another interesting experiment was the podcast expansion. Recognizing the growing popularity of podcasts, Spotify conducted experiments to expand its podcast offerings. They acquired podcast networks and exclusive content, such as The Joe Rogan Experience and The Michelle Obama Podcast, to attract new users and increase engagement. These experiments helped Spotify become a significant player in the podcasting industry and diversified its content portfolio.

These examples highlight how Uber, Airbnb, and Spotify continuously experiment with new features, services, and pricing strategies to enhance their offerings, attract users, and drive growth. By conducting these experiments and leveraging the insights gained, these companies have been able to iterate and optimize their platforms, ultimately contributing to their remarkable success.

2. Make Data-Driven Decisions:

Companies with an experimentation mindset leverage data to drive decision-making. They understand the power of data in validating hypotheses and informing strategic choices. They gather and analyze user data, market trends, and performance metrics to make informed decisions on product development, marketing strategies, and expansion plans.
 
Spotify, for instance, continuously conducts A/B testing to evaluate new features and user interface changes. By measuring user engagement, retention rates, and conversion metrics, the company gains insights into what resonates with users and drives growth. These data-driven decisions enable Spotify to refine its product and deliver a better user experience.
 
Airbnb also relies on data analytics to drive decisions such as smart pricing and search ranking algorithms. Smart pricing leverages data on location, property type, seasonality, and demand trends to suggest optimal prices for hosts, increasing bookings and earnings. Airbnb’s search ranking algorithms utilize data on user preferences, search queries, and reviews to deliver personalized and relevant search results. These data-driven approaches empower hosts to optimize their pricing strategies while enhancing the overall user experience by providing accurate and personalized search results.
 
Uber’s data-driven decision-making is evident in its implementation of surge pricing and dynamic routing. Additionally, Uber’s algorithms leverage data on traffic patterns and road conditions to provide drivers with the most efficient routes. These data-driven strategies enable Uber to enhance the user experience, ensure reliable service, and maximize efficiency within their transportation network.
 
These examples demonstrate how Uber, AirBnb, and Spotify utilize data-driven decision-making to optimize their offerings, personalize user experiences, and drive growth. By leveraging vast amounts of data, these companies can make informed choices that enhance their services, improve user satisfaction, and maintain a competitive edge in their respective industries.

3. Encourage Risk-Taking and Fail Fast

Innovation and growth often go hand in hand with risk-taking and a willingness to embrace failures as valuable learning experiences. Companies that encourage risk-taking and embrace the concept of failing fast are better positioned to drive innovation, adapt to market dynamics, and achieve sustainable success. This holds true for industry disruptors like Uber, Airbnb, and Spotify. These companies have fostered cultures that not only tolerate failure but actively encourage employees to take risks and learn from their mistakes.

Uber has fostered a culture that encourages risk-taking and embracing failures as learning opportunities. The company understands that innovation requires taking calculated risks and acknowledges that not all experiments will yield positive outcomes. Uber empowers its employees to explore new ideas, test hypotheses, and iterate quickly. The company embraces the concept of “failing fast,” which means acknowledging failures early, learning from them, and pivoting accordingly. This approach is exemplified by Uber’s willingness to experiment with different service offerings and business models.

Airbnb empowers its employees to challenge the status quo and think creatively. The company encourages teams to experiment with new features, offerings, and marketing strategies. They understand that not every experiment will be successful, but the key is to fail fast and learn from the outcomes. This mindset is reflected in Airbnb’s growth journey, where they faced initial challenges in building trust among users. However, by iterating on their platform, implementing user feedback, and fine-tuning their offerings, Airbnb was able to overcome obstacles and achieve exponential growth. 

Spotify’s data-driven approach plays a crucial role in their risk-taking mindset. By analyzing user data, engagement metrics, and feedback, Spotify gains insights into what resonates with users and what doesn’t. This knowledge allows them to iterate quickly and make data-informed decisions. Spotify’s experimentation mindset is evident in their continuous A/B testing of new features and interface changes.

5. Foster Cross-Functional Collaboration

An experimentation mindset thrives in a collaborative environment. Uber, Spotify, and Airbnb emphasize cross-functional collaboration, bringing together teams from different disciplines to ideate, experiment, and learn together. This collaboration ensures diverse perspectives, encourages knowledge sharing, and leads to innovative solutions.

Airbnb recognizes the value of cross-functional collaboration in delivering a seamless user experience and driving business growth. The company promotes a collaborative environment by encouraging teams from different functions, such as engineering, design, marketing, and customer support, to work together on cross-functional projects. For instance, when launching new features or enhancing the platform’s usability, cross-functional teams collaborate to ensure that all aspects are considered, from the technical implementation to the marketing and customer support requirements. Airbnb also fosters collaboration through regular cross-functional meetings, knowledge-sharing sessions, and team-building activities. By fostering collaboration, Airbnb leverages the collective intelligence of its teams to deliver innovative solutions and meet the evolving needs of its users.

Spotify places a strong emphasis on cross-functional collaboration, recognizing its role in driving innovation and delivering a superior user experience. The company encourages employees from different disciplines, including engineering, design, data science, and content curation, to work together in cross-functional teams. These teams collaborate closely to develop and refine Spotify’s product offerings, ensuring seamless integration of technology, design, and content. Additionally, Spotify promotes a culture of transparency and open communication, where teams are encouraged to share their knowledge, ideas, and insights. This collaborative approach enables Spotify to harness the diverse expertise within the organization and continuously enhance its music streaming platform.

Uber has successfully fostered cross-functional collaboration by breaking down silos and encouraging open communication and knowledge sharing across departments. The company promotes a culture of teamwork and collaboration, where individuals from different functions work together to solve complex problems. For example, Uber’s operations team collaborates closely with the product team to identify areas for improvement and develop innovative features that enhance the user experience. Furthermore, cross-functional teams are formed to tackle specific projects or initiatives, ensuring that diverse perspectives and expertise are incorporated. By fostering collaboration, Uber maximizes efficiency, promotes innovation, and drives continuous improvement across its operations.

By breaking down silos, promoting open communication, and encouraging teamwork, these companies leverage the collective intelligence and diverse skills of their teams. Businesses can learn valuable lessons from their approaches, emphasizing the need to cultivate a collaborative culture, form cross-functional teams, and provide opportunities for knowledge-sharing and collaboration.

 

5. Focus on Seamless User Experience:

In today’s highly competitive business landscape, delivering a seamless user experience has become paramount for companies aiming to stand out and succeed. By prioritizing user experience, companies can build strong customer loyalty, drive engagement, and ultimately achieve long-term growth. Uber, Airbnb, and Spotify are renowned for their commitment to providing seamless user experiences, setting industry benchmarks and revolutionizing their respective markets.

Uber has revolutionized the transportation industry by placing a strong emphasis on creating a seamless user experience from the moment a user opens the app to request a ride. The app’s user interface is designed to be user-friendly and straightforward, allowing users to easily request rides, track their drivers in real-time, and pay seamlessly through the app. Uber has also prioritized safety and convenience, implementing features like driver ratings, real-time ETAs, and cashless transactions. By focusing on these aspects, Uber has successfully created a seamless user experience that has disrupted the traditional taxi industry and made ride-hailing more accessible and convenient for millions of users worldwide.

AirBnb has transformed the way people travel by offering a seamless user experience in the realm of accommodation. With a user-friendly website and mobile app, Airbnb enables users to effortlessly search for unique and personalized accommodations, book their stays, and communicate with hosts. The platform provides detailed property listings with high-quality photos, transparent pricing, and user reviews, ensuring that users have all the necessary information to make informed decisions. Furthermore, Airbnb’s emphasis on trust and safety through verified profiles, secure payments, and reliable customer support has further enhanced the user experience. By prioritizing seamless interactions and trust-building, Airbnb has redefined the way people book accommodations and created a global community of travelers and hosts.

As a leader in the music streaming industry, Spotify has set the standard for delivering a seamless user experience. The platform provides a vast library of music accessible across various devices, allowing users to effortlessly discover, create, and curate personalized playlists. Spotify’s user interface is intuitive and visually appealing, with features like easy search functionality, personalized recommendations, and seamless transitions between devices. By consistently focusing on the user experience and leveraging data-driven insights to refine their recommendations and features, Spotify has cultivated a loyal user base and remained at the forefront of the music streaming industry.

In conclusion, Uber, Airbnb, and Spotify have demonstrated a strong commitment to delivering seamless user experiences, redefining their respective industries in the process. By prioritizing user-friendly interfaces, convenience, trust, and personalization, these companies have captured the hearts of millions of users worldwide. By understanding and applying the lessons learned from their strategies, businesses can strive to create exceptional user experiences and differentiate themselves in a competitive marketplace.

Back to You

The success stories of Uber, Spotify, and Airbnb provide valuable insights into the strategies and approaches that can drive accelerated growth in today’s rapidly changing business landscape. 

These disruptors have not only revolutionized their industries but have also exemplified exceptional growth strategies. By analyzing their journeys, we can extract several key lessons that businesses can apply to their own growth endeavors.

Learn by example! Read other growth studies here.

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How HubSpot Grew a Billion Dollar B2B Growth Engine https://growthhackers.com/growth-studies/hubspot/?utm_source=rss&utm_medium=rss&utm_campaign=hubspot Tue, 02 May 2023 14:34:37 +0000 https://growthhackers.com/?p=4177 Learn how HubSpot grew to become a leader in inbound marketing with their innovative growth hacking strategies.

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HubSpot invented the term Inbound Marketing, and has lived it’s mantra, driving their business from an idea in 2004 to a $50M+ run rate in 2012 in the competitive marketing tools and services category. But is the story that simple? A deeper dive reveals that a deep belief in metrics, an organizational focus on growth, and a commitment to sales excellence has fueled their explosive rise.

In 2004, HubSpot co-founders Brian Halligan and Dharmesh Shah met at the Massachusetts Institute of Technology. Or, as Halligan says, “HubSpot was born out of the loins of MIT.” [1] Founded in 2006 on the concept that traditional marketing is broken, HubSpot offers an inbound marketing software platform that helps businesses “market to humans.” [2]

The Cambridge-based company’s growth has been impressive. HubSpot began in 2006 with just three customers, and they ended last year with 8,440. [9] In 2011, the company did $29 million in revenue, which was a full 81% growth over the previous year [3], then jumped to almost $53 million in 2012. [9] As of 2012, their Average Customer Value (ACV) was somewhere around $6,220 per customer ($52.5m / 8,440 customers).

HubSpot has chosen to focus on growth rather than profit for now, and that dedication is evident in the numbers above. So how has HubSpot made such huge gains, so quickly?

Gaining Early Traction by Practicing What They Preach

Inbound Marketing

Both Shah and Volpe say that HubSpot uses a combination of inbound and outbound marketing [19], but data that speaks to how much is spent on what isn’t available.

In 2009 Halligan and Shah literally wrote the book on inbound marketing—Inbound Marketing: Get Found Using Google, Social Media and Blogs. True to form, HubSpot offered promotional resources like free eBooks with content sneak peeks.

Volpe says that inbound leads are generally cheaper to acquire, and it should come as no surprise that inbound marketing has been critical to HubSpot’s growth:

“I cannot emphasize enough the importance of inbound marketing in our growth. (I know I am biased and I know it is self serving, but that does not make it a lie.) ” [3]

HubSpot FlyWheel

The company’s inbound marketing strategy covers the spectrum, but one area in which they’ve really excelled is content marketing. From the outset, HubSpot has offered resources like expert blog posts, webinars, and tools. For example…

Website Grader

Between 2006 and 2011, HubSpot’s free Website Grader was used to grade more than 4 million websites. [7] Anyone could enter a URL and get insight about which aspects of a site were performing well and which ones could be better.

Like the best free resources, Website Grader was good for both Hubspot and prospective customers—first, it helped users understand that their sites weren’t performing as well as they could be, making the value proposition of an inbound marketing system more appealing. Second, it did this for free, functioning much like a free consultation, yet the time and hassle of speaking to someone was replaced by a simple web experience. Hubspot didn’t have to pay sales staff to walk users through the process because it was automated.

This is why Website Grader (and free-but-valuable tools like it) are a win-win. Website Grader was easier to market than the actual HubSpot product, because it required no up-front investment yet provided instant value. Additionally, Website Grader brought visitors one step closer to becoming customers by showing users the need for HubSpot and collecting contact information for sales, generating tons of inexpensive leads.

Twitter Grader

Hubspot went back to the free tools playbook in 2009. When business owners were still working to figure out the appropriate application and ultimate value of social media, HubSpot launched Twitter Grader, generating a ton of buzz among influential social media types and making HubSpot a part of the growing conversation around social marketing.

Twitter Grader generates diagnostic reports of Twitter users, measuring their influence based on factors like follower ratio, update frequency, and level of community engagement; and playing off of powerful motivators such as vanity and game mechanics (like how users rank among Twitter users in their areas).

CTO Dharmesh Shah explains, “What Twitter Grader is trying to measure is the power, reach and authority of a Twitter account. In other words, when you tweet, what kind of impact does it have?” [6] Similar in form and function to Website Grader, this free tool gets tens of thousands of uses per month. [4]

When Twitter Grader first launched it set off a wave of viral awareness, with people sharing their Twitter scores with their followers, perpetuating a seemingly-endless cycle of more and more people checking their Twitter cred. Again, this free tool drove leads and tons of awareness for the company.

HubSpot’s Blog—Inbound Hub

When searching HubSpot’s blog Inbound Hub for “landing page,” you get 4,480 results. That’s a lot of content, most of which comes in the form of resource posts like “What Is a Landing Page and Why Should You Care” and “11 Simple (But Critical) Tips for Creating Better Landing Pages”—each with a relevant call to action at the end. Volpe claims that HubSpot’s addition of a Call to Action at the bottom of every blog post tripled the number of leads they were getting from the blog. He explains:

“A lot of people have calls to action, or offers in the sidebar of their blog, and those work.  But having one… and again, it wasn’t the same one on every single article, it was tailored to that article. So if you’re reading an article about, you know, optimizing landing pages you’ll have an offer at the bottom of that blog article that has something to do with a landing page optimization webinar or something like that.” [8]

As HubSpot has become more sophisticated in identifying onsite visitors and personalizing the experience, they’ve been able to drive calls to action not just for new visitors, but to re-engage existing customers as well. For example, the marketing on Inbound Hub for customers suggests new tools to try in the HubSpot suite, while new visitors will be driven to ebooks or free tools. 

Inbound Hub generates real results, the blog is full of useful and shareable content that results in 20% of all of HubSpot’s organic leads. [5]

Webinars

In response to a question on Quora about how HubSpot got so many Twitter followers, Mike Volpe writes:

“As far as I know, we were the first company to hold a webinar on the subject of “Using Twitter for Marketing and PR” – we got over 3,000 registrations for it, and tons of new followers that day back in 2008.  And during that webinar and all of the webinars after it, we used Twitter as a discussion tool during the webinar, to allow people to chat and ask questions.  I am also pretty sure we were the first company to use Twitter for discussion during webinars – we started that in 2008.  Because of this, many of the hashtags for our webinars have become trending topics on Twitter – most recently #emailsci, but I think more than 5 of our webinars have been global top ten trending topics since 2008.” [4]

Just like with Website Grader, Twitter Grader, and Inbound Hub, HubSpot uses webinars to educate users, generate buzz, and attract thousands of new website visitors—a number of whom will eventually become customers. [5] One of their most popular webinars, Volpe reports, had 13,000 signups. [8]

Through focusing on inbound marketing as a means of establishing themselves as an authority in the field, HubSpot was and is able to generate a huge volume of relatively low cost (especially when compared to outbound marketing), high quality leads. [3] How do these leads compare to those resulting from outbound marketing? Volpe explains:

The conversion rate from those leads, if you compare…inbound leads vs outbound, or paid, the types of things where you’re annoying people and kind of getting in their face…the comparison between the two of those, the conversion rate is more than double…for the organic leads, or the inbound leads.”

Written by Morgan Brown

The post How HubSpot Grew a Billion Dollar B2B Growth Engine first appeared on GrowthHackers.com.

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What’s Fueling Uber’s Growth Engine? https://growthhackers.com/growth-studies/uber/?utm_source=rss&utm_medium=rss&utm_campaign=uber Tue, 02 May 2023 14:08:56 +0000 https://growthhackers.com/?p=4171 From early traction to today's growth engine, dive into Uber's growth study written by Morgan Brown with Sean Ellis and Evertte Taylor.

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Uber Co-Founder and former CEO Travis Kalanick explains, “In the beginning, it was a lifestyle company. You push a button and a black car comes up. Who’s the baller? It was a baller move to get a black car to arrive in 8 minutes.”

But what began in 2009 as a luxury car service in San Francisco is now valued at $3.76 billion and operates in more than 35 cities worldwide. As of August of this year, Google Ventures has officially cast their vote of confidence in the startup with a $258 million investment—a full 86% of their $300 million annual budget—and for good reason. (Source) Uber’s revenue is up 18% month over month, and in the past year alone they’ve grown from just 75 employees to more than 300. (Source)

In fact, at Disrupt NY 2013, Bill Gurley of Benchmark—investor for both eBay and Uber—claimed, “Uber is growing faster than eBay did … [it] is probably the fastest growing company that we’ve ever had.” (Source)

How did Uber do it? As a multi-sided marketplace business model, how did they crack the chicken-and-egg problem that so many marketplace startups struggle with? Much like Belly, Uber used intense market focus to create local network effects in their launch city, San Francisco, while fueling word of mouth growth through targeting of the early adopting Bay Area techset.

The Need for Uber

If on the outside chance you’re not familiar with Uber, the basics are as follows:

In the past, when you needed to get somewhere, hailing a cab was a nightmare. You either stood outside—wind, rain, sleet, snow, or shine—waving your hand in the air until you could hail a cab, or you called a taxi dispatch (if you had their number) and had to wait 20 minutes until a car arrived.

Once you arrived at your destination, you fumbled to count out the right amount of cash plus a tip, negotiate with the driver who never had the right change, or who “forgot” to start their meter, or whose credit card machine was “broken”.

All told, very few people viewed finding and using taxi service as something enjoyable—it was simply something that they dealt with due to the lack of an alternative. Before Uber you were beholden to an entrenched, monopolistic entity, whose sloppy execution and lack of regard for the customer experience was evident at every touch point.

This poor experience and a perceived lack of ability to change anything about it created pent up frustration and demand from consumers who were eager to find anything better. Uber tapped into that frustration and demand exceptionally well.

Uber is completely changing the way getting private transportation is done in several key ways.  First, their smartphone app is integrated with Google maps so that you can see how far away the nearest cars are, set a meeting point on the screen, and hail a car to meet you there. You can even see your driver’s information (including ratings) as you watch the car get closer to your location.

Uber drivers call or text to confirm that they’re on the way, giving you peace of mind that your order was received. Once your car arrives (usually within a few minutes), the driver greets you by name and you hop in. The cars are black cars and SUVs. Uber X, a lower cost version of the service, is made up of a fleet of well maintained sedans.

Once you arrive at your destination, the app charges your card, and you’re free to go on about your day. There’s no need to deal with cash, change, tips, or receipts. You just hop out. Uber has removed the friction from the typical taxi cab transaction, and made it highly enjoyable in the process.

Bill Gurley sees Uber’s key to growth as a simple one: Uber offers a great product. He explains, “The product is so good, there is no one spending hundreds of thousands of dollars on marketing.” (Source) While this is certainly the case, it isn’t the only factor driving growth at Uber. First, let’s go back to the beginning and look at some of Uber’s early tipping points.

Early Traction

Though the company was founded in 2009, Uber didn’t officially launch until June 2010 by tapping into the existing supply of black car drivers.  In January 2011, just six months later, they had had between 3,000 and 6,000 users and had already done between 10,000 and 20,000 rides. (Source) So what got them there?

Completely Solves Problems for Riders

First and foremost (as Gurley points out, and as with Square), Uber provides a solution to a real problem that impacts millions of people. In all sense of the word they have disrupted the monopoly of taxi cab transportation that exists in many cities and reinvented the experience from top to bottom.

Among the many problems Uber is tackling are: poor cab infrastructure in some cities, poor service and fulfillment–including dirty cabs, poor customer experience, late cars, drivers unwilling to accept credit cards, and more.

Uber set out to reimagine the entire experience to make it seamless and enjoyable across the board. They didn’t fix one aspect of the system (e.g. mobile payments for the existing taxi infrastructure), they tackled the whole experience from mobile hailing, seamless payments, better cars, to no tips and driver ratings.

By avoiding the trap of smaller thinking, and iterating on one element of the taxi experience (say, by making credit card payments more accessible in the car) they were able to create a wow experience that has totally redefined what it means to use a car service, sparking an avalanche of word of mouth and press.

Early Adopter Advocacy

In many cases, the importance of the early adopter tech community can be overstated. In Uber’s case it cannot. Uber knew that launching in San Francisco meant that they would be interacting regularly with the tech community who are continually looking for new tools and services that improve their quality of life. Uber took aim at those people by sponsoring tech events, providing free rides, and in general driving awareness among this audience.

San Francisco, with it’s notoriously spotty cab service served as the perfect foil for the launch. As early adopters, completely fed up with the taxi situation in the city, tried Uber, they took to blogs, social media and every other way possible to tell their friends about this new way to ride.

The Uber experience became a vector for growth as early adopters in the know impressed their friends with the ability to call a black car from their phone with a couple taps. These new riders were immediately wow’d by the experience and became new users and advocates within the span of a single car ride.

So how did Uber reach those early adopters? One distinct channel was event sponsorship. Uber was highly active at local-area tech and venture capital events and provided free rides to attendees. Uber knew that these attendees were well connected and highly likely to share their experiences with friends, tech press, and social media audiences after trying Uber.

By seeding this audience, they were able to create a growth engine that hinged on the fact that these adopters would show their friends, who would become new users after their first Uber experience. Leading to a growing network of passionate customers.

Word of Mouth from Satisfied Customers

Much of Uber’s success can be attributed, as mentioned above, to the fact that it is totally mind blowing compared to the frustrating and broken taxi experience. Max Crowley of Uber Chicago explains:

“We’ve found that our growth is driven substantially by word of mouth. When someone sees the ease of use, the fact that they press a button on their phone and in under 5 minutes a car appears, they inevitably become a brand advocate.” (Source)

According to Kalanick, Uber relies almost exclusively on word of mouth, spending virtually nothing on marketing. He explains, “I’m talking old school word of mouth, you know at the water cooler in the office, at a restaurant when you’re paying the bill, at a party with friends – ‘Who’s Ubering home?’ 95% of all our riders have heard about Uber from other Uber riders.” In fact, for every 7 Uber rides, word of mouth generates a new Uber user. (Source)

Uber has even gotten attention from the likes of comedian Dave Chappelle, actor Edward Norton, venture capitalist Marc Andreessen—who calls it a “killer experience,”—and AirBnB CEO Brian Chesky—who claims that “Uber makes it very easy to not own a car.”

This word of mouth is as much today’s growth engine as it was in early days. Uber doesn’t need to do traditional marketing to drive users, they simply find ways to fan the flame of that first trial to reach new people and grow their user base.

Leverage Distinct Growth Opportunities

In addition to providing an overwhelmingly superior solution, Uber has also leveraged some real life situations to spur growth, which Kalanick refers to as “accelerants.” These accelerants indicate a concentrated, temporary need for Uber’s services. These include:

  1. Restaurants and Nightlife

  2. Holidays and events

  3. Weather

  4. Sports (Source)

Each of these factors makes driving yourself problematic at best (and in some cases downright impossible), and cities in which they coexist are especially receptive to Uber’s services. Uber focused on executing in cities where those problems are near constants to drive accelerated adoption. For example, In Chicago—a city with great nightlife, intense weather, and tons of sporting events —Uber’s initial viral growth was double what’s typical for them (see viral growth numbers cited below).

Special events and holidays also provide an opportunity to showcase Uber’s model, and the company was able to deliver on key nights like New Year’s Eve in San Francisco—a city notorious for a lack of taxis—which drove buzz for the new service. These events created intense demand and pressure to get new users to take their first Uber ride, driving spikes in new riders and total rides.

Benefits for Uber Drivers

Not only does Uber transform the experience for riders, but it’s also good for drivers. Discussing Uber’s expansion to D.C.,  Kalanick explains,

“There are a lot of drivers in this city who are out of work. Because of that, there are a lot of drivers and limo companies that are coming to us to basically help their drivers make a living.” (Source)

Uber doesn’t employ drivers. Instead, the service acts as a liaison between people who need rides to drivers who are in the area. This arrangement can bring in more than $500 a day, which amounts to a week of work for some cab drivers. Like any good service, it’s a win-win for all parties involved, and this is certainly another factor contributing to Uber’s growth.  

Today’s Growth Engine

Now, let’s examine today’s growth engine a bit more thoroughly. In addition to the points mentioned above—which are still very much driving forces—Uber’s growth engine is comprised of several related, moving parts, including:

Intensely Local, City-by-City Expansion

But perhaps the reason Uber has expanded so quickly is because they acknowledge that growth is not one-size-fits-all. What worked for San Francisco may not be what’s right for Chicago or New York, which is why they take it city by city, with local efforts tailored to each new location.

Because of the politics, regulations, and interests that make up each city, Uber needs to adapt their launch plans to suit the unique topology of each new market. It’s this ability to go into a market, understand who the suppliers are, who the special interests are, and account for those dynamics that makes Uber successful right from the start in new cities.

Kalanick explains: “We think that cities deserve to have another transportation alternative. It sounds crazy to have to say that but you have to do that because you have incumbent interests which are often trying to curtail innovation and curtail sort of transportation alternatives that might compete with their existing business. And, because of that, it requires us to take a very local approach to how we go after a city. We have launchers that go into [cities] …  and turn nothing into something. I like to say they drop in with parachutes and machetes [and] get highly involved with the suppliers, people who own cars and run car services, and really just make sure that we can launch a service that is high quality from the start. Being local and speaking with local voice is important when you’re doing transportation and means you know what’s going on for the city.” (Source)

A city in which Uber has seen unprecedented growth is Washington D.C. Kalanick explains, “We’re not really sure exactly why, but D.C. really, really likes our product a lot. That is reflected in our growth, and the sort of overall demand we’ve seen has been unprecedented.” He claims that, month over month, growth is in the 30 to 40 percent range. When asked if this growth in D.C. reflects “that people are not happy with their alternatives,” Kalanick replies, “I think one can make that conclusion.” (Source) Update: As reflected by Noah in the comments, the effort of Uber to support these city launches is massive and all encompassing, from local events, industry partnerships, business development and more. Uber makes sure that their marketing and business efforts are in full support of fueling that word of mouth engine, driving local growth.  

Huge Potential to Disrupt Transportation

A major factor contributing to Uber’s growth is its potential. Not only is the company changing the way a lot of cities are hiring cars, but they’re doing so in a way that stands to transform car ownership and transportation in general—taking an established infrastructure and utilizing it in a totally new way.

Michael Wolfe, an entrepreneur and frequent technology commentator  explains:

  • If you think of Uber as a town car company operating in a few cities, it is not big.

  • If you think of Uber as dominating and even growing the town car market in dozens of cities, it gets bigger. (Data point: there are now more Uber black cars in San Francisco than there were ALL black cars before Uber started).

  • If you think of Uber as absorbing the taxi markets, it gets pretty huge.

  • If you think of Uber bringing taxis to parts of the world that did not have them before because of insufficient density, it gets even larger.

  • If you think of Uber as a personal logistics service that can drive your kids to school and back, take you to work, pick up your parents at the airport, drive you to date night so you can get your drinks on, it gets very very large.

  • If you think of Uber as delivering both people as well as things (packages, dry cleaning, groceries) it gets even larger.

  • If you think of Uber as a replacement for your car, it gets even larger.

  • If you mix in a fleet of self-driving cars, orchestrated by Uber, it grows again.

  • If you think of Uber as a giant supercomputer orchestrating the delivery of millions of people and items all over the world (the Cisco of the physical world), you get what could be one of the largest companies in the world. (Source)

This potential is the primary reason that Uber has garnered so much attention from investors. The economic, environmental, and everyday implications are huge. They are changing the way that people think about transportation, making it less about everyone purchasing his or her own car and more about purchasing rides (like water or electricity) as we need them.

Understanding this potential, Kalanick envisions Uber as an “instant gratification” service—giving people “what they need, when they need it, whether that’s a ride or some other delivery.” As to what this other delivery might be, the possibilities are pretty limitless. (Source)

Kalanick explains, “What we’re doing right now is we’re in the experimentation phase where you sort of find some interesting ways to do promotions like Uber ice cream.” He continues, “It’s very straightforward for us to basically give [drivers] a phone with an app on it and say, ‘Look, when the thing is blinking, hit the screen and go to where the map tells you to go. And you don’t have to pick them up and take them anywhere, just give them ice cream.’” (Source)

In fact, so far the company has experimented with:

  • on-demand Uber Ice Cream

  • on-demand roses for Valentine’s day

  • on-demand barbecue in Texas

  • DeLorean rides in San Francisco

  • UberCHOPPER helicopter rides to the Hamptons

  • partnership with the NFL Players Association to promote safe rides for NFL players

  • as well as more standard promotional efforts, such as $10 off coupons and the like.

Though these are primarily marketing promotions, they are also ways to test the market for demand, and they hint at the company’s potential direction for growth. Though nothing is set in stone, many interpret Google Ventures’ whopping investment in Uber as an indication of what’s to come. Google is, after all, in the process of making the self-driving car a reality, which means the prospect of a fleet of driverless cars shuttling us to and from work, school, fun, errands, and home is no longer purely in the realm of science fiction.

Controversy and Press

Uber’s word of mouth engine is fueled not only through word of mouth; the company is fast becoming public relations experts. As Uber rolls out into new cities, they face myriad lawsuits from existing interests, challenges to their legality from state and local lawmakers, and varying degrees of support or resistance from drivers.

The company has done a masterful job of turning these dust ups into a platform to tell their pro-consumer story. Uber has taken what could be seen as a massive business hurdle—litigation—and turned it into an asset that drives growth.

As Uber launches into market after market, these controversies are played out in the court of public opinion, and the power of Uber advocates and the quality of the experience, create an outpouring of local public support for the company. This support changes laws, helps pave the way for Uber in new cities, and the local and national press coverage helps Uber reach more potential users who hear about an innovative new company recreating a transportation experience that is nearly universally disliked by people everywhere.

Low Risk Trials

Uber knows that once you ride Uber, it’ll be your preferred mode of getting around from that moment forward. That insight and confidence makes it easy to make the first ride a free trial. The company routinely hands out $20 first ride credits that let new users take a free Uber ride to try them out. This incentive removes any barriers that new riders may have and after experiencing Uber they are exceptionally likely to become a long-term customer.

The Remaining Pieces of Uber’s Growth Engine

Uber is by all measures a growth machine, and while it is easy to sit back and point to the press they’ve received as the main driver, it’s clear that the big idea, executed flawlessly is the true engine. The company has smartly built its team to fuel that growth engine to the full extent possible.

From public perception management, to lobbying, to relationship building with established taxi commissions and car drivers, to brand advocates and community managers who fan the word of mouth flames, to special promotions that highlight the potential that is Uber, the company spread the word, Uber has built not just a sustainable engine, but one powered by rocket fuel.

Now with a war chest of funds, and a powerful model, Uber’s job is to continue to execute and do the hard work of overcoming existing legislation and models to create the environment for them to excel. Uber is just getting started, and tenacious execution is what stands between them and their ultimate vision.

Uber is a fascinating case study because it is one of those truly disruptive ideas that completely redefine an industry and change the way people consider long-entrenched beliefs and habits. In addition, their success in a highly political arena, building a multi-sided marketplace among many disparate and entrenched interests is a model for anyone looking to take a moonshot with their startup idea.

We hope this case study helps startup founders and entrepreneurs who are looking to disrupt legacy marketplaces in formulating their growth strategy. While fighting political and entrenched special interests is very difficult, we believe that Uber shows that building a pro-consumer product that completely reinvents the experience can lead to sustainable growth and a lasting business success. Whether you’re tackling healthcare, government, transportation, or other well established marketplace, Uber’s growth provides insights on what it takes to find the growth you’re looking for. What did we miss? What else was key to their growth in both the early days and today? Share your thoughts and insight in the comments, and help us make this the definitive piece on Uber’s meteoric rise.

Contributing Authors:

Sean Ellis

Everette Taylor Dylan La Com

Written by  Morgan Brown

The post What’s Fueling Uber’s Growth Engine? first appeared on GrowthHackers.com.

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How Amazon Built Its Growth Ecosystem https://growthhackers.com/growth-studies/how-amazon-built-its-growth-ecosystem/?utm_source=rss&utm_medium=rss&utm_campaign=how-amazon-built-its-growth-ecosystem Tue, 02 May 2023 13:29:49 +0000 https://growthhackers.com/?p=4161 Explore how Amazon leveraged growth hacking strategies to become the world's largest online retailer. Our growth study analyzes their tactics and provides key takeaways for your own business.

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Amazon just became the fourth tech company in the world to join the $1 trillion club in 2020. Back in 2019, the retail giant was delivering over 2.5 billion packages a year in the U.S. only, with this number growing exponentially (Forbes, 2019). 

There are over 150 million paid Prime members globally (VentureBeat, 2020) and 1.9 million sellers on the platform (Marketplace Pulse, 2021). Besides, Amazon’s stock price exceeded $3,000 as of March 2021 and it’s been listed fourth on the 2020 World’s Most Valuable Brands list by Forbes.

What’s the secret behind this enormous success? In this growth case study, we’ll dive into Amazon’s story and explore how leadership principles, customer centricity, and endless experimenting laid the foundations for one of the world’s biggest tech giants. 

From a Bookstore to the World’s Biggest Retailer

In 1994, Jeff Bezos started Amazon.com, an online bookstore headquartered in his garage in Seattle. Initially called Cadabra, the company was renamed to Amazon, with growth at the heart of its culture. Jeff’s lawyer believed that the reference to magic was too ambiguous, while people on the phone too often heard the word “Cadaver” instead. Creating a connection to the world’s largest river was more fitting for a company planning to become the world’s biggest bookstore.

Success was almost immediate and Amazon went public in 1996. Yet, it wasn’t until 2001 when the company became profitable. Not surprisingly, many critics, investors, and financial journalists were questioning the business model, claiming that Amazon would eventually lose out to more established bookstores.

But why books? According to Bezos, “books are the most traded commodities”, easy to order, package, and ship. This market had been underserved, and he saw an incredible opportunity to tap into the growing online shopping industry.

I picked books because there were more items in the book category than in any other category. And so you could build universal selection. There were 3 million in 1994 when I was pulling this idea together — 3 million different books active in print at any given time. The largest physical bookstores only had about 150,000 different titles. And so I could see how you could make a bookstore online with a universal selection. Every book ever printed, even the out-of-print ones, was the original vision for the company. So that’s why books. – Jeff Bezos

 In the company’s first year, Bezos paid for mobile billboards to drive by Barnes & Noble stores displaying the question “Can’t find that book you wanted?”, alongside Amazon’s website address.

However, he envisioned the company as a place where any customer could find anything they want, far beyond just books. He also aspired to turn Amazon into a tech company, which was later backed by the launch of Amazon Web Services (AWS) and other business units.

Amazon’s original mission statement read as follows:

To be Earth’s most customer-centric company, where customers can find and discover anything they might want to buy online.

Building the Amazon Ecosystem 

The game-changing difference that Amazon offered to its customers was convenience – they could place their orders online and get them delivered directly to their door. It became the key driver of Amazon’s growth in other areas beyond books.

Bezos argued that to succeed, his businesses needed to “Get Big Fast.” In 1996, Amazon’s first distribution center opened its doors and the one-click ordering button was added to lower the cart abandonment rate. Soon after, the company started offering computer games and music, which transformed into Amazon Music in 2007. 

The next steps included selling electronics and home goods, clothes, toys, personal care, foods, the Kindle e-reader (the company sold $5 billion in Kindle devices in 2014, according to Morgan Stanley), and all sorts of other e-commerce items. 

Not only Amazon put out of business many traditional brick-and-mortar stores – but consumers also started to “price shop”, leveraging competitive online prices and using offline shops as showrooms. The ability to compare reviews by real people was another important factor.

Over the years, Amazon quickly expanded into numerous areas, including clothing (2002), Amazon Prime (2005), Kindle (2007), Amazon Logistics (2007), Alexa, and Amazon Echo (2015), Amazon Web Services (2016)…the list goes on. 

As Amazon was becoming more than just a retailer, the Amazon Web Services (AWS) – a cloud computing giant – had a dramatic impact on its development. Currently led by Andy Jassy who is to replace Bezos as Amazon’s CEO in 2021, AWS closed out 2020 with over $13.5 billion in operating profits. It was responsible for more than 63% of the entire company’s operating profits (GeekWire, 2020). AWS started when Amazon realized that the computer system powering its online shop was so robust that it could expand its network to many other e-commerce stores. 

Today, with numerous integrations and takeovers (including brands like Whole Foods, Pets.com, Twitch, and Zappos), it’s harder to think of items that you can’t buy on Amazon.

Amazon is an ecosystem where each element supports another and makes the entire universe stronger. And the success of the ecosystem as a whole is more important than smaller wins and losses. 

Today, Amazon is basically competing with everyone. Image source: Pitchbook.

Some of the key milestones that helped create Amazon we know today were:

  • Amazon was growing fast and raising funding fast: Bezos received $ 8 million in A-series investment in 1995, going public in 1997 with a share price of $18. 

  • Innovative solutions like one-click ordering, its own distribution centers, as well as rapid diversification allowed Amazon to quickly gain market gain market-share in the untapped markets.

  • The Affiliate program introduced in 1996 enabled other companies, websites, and blogs to advertise Amazon’s merchandise for sale on their own channels. It grew to 350,000 members in 1999.

  • Amazon marketplace that opened in 2000 enabled third-party orders to pay to list their items on Amazon and stock them in the company’s warehouses, which accelerated the rates of diversification of the company’s offering. 

Amazon Prime became one of the key drivers of Amazon’s customer base growth. Started as a subscription service granting free two-day shipping, it now offers access to Amazon Kindle, music, movies, and more in 19 countries.  

Embedding Growth in the Company Culture

If there’s one aspect that’s truly special about Amazon, it’s the growth mindset embedded in the company’s culture and its leadership principles. In a nutshell, it’s about prioritizing learning, embracing challenges, and focusing on results. 

Just like that, they learned how to master supply chain operations after setting up a bookstore and expanded into the world’s biggest retailer. 

At Amazon, no one underestimates the role of leadership. 

The leadership principles are a Bible here at Amazon. And you can really feel it. Everything is related to that. – Carlos Daniel Fallas Alvarado, a Risk Specialist at Amazon

Another important pillar of Amazon’s growth culture is the “Day 1” mentality. Even after almost 27 years, Amazon sees each day as if it was the first day of their new startup.

The outside world can push you into Day 2 if you won’t or can’t embrace powerful trends quickly. If you fight them, you’re probably fighting the future. Embrace them and you have a tailwind. – Jeff Bezos

This implies the importance of building on what you’ve learned and looking to the future instead of staying stagnant. 

The Amazon Flywheel: Putting the Customer First

Amazon is a master at creating customer experiences. Customer obsession – one of the core principles we discussed earlier – serves as a compass for everything the company does. 

From offering a large selection of items, affordable prices, and fast delivery, to making strategic acquisition decisions and optimizing website UX, customer experience is at the heart of Amazon’s decision-making process. 

For example, Amazon’s auctions, launched in March 1999, became a prototype of the “Amazon Marketplace”, which grants customers access to competitive product prices available through third-party sellers.

Another example is the “One Click” button, a patented operation that allows Amazon’s customers to buy items with only a single click. 

Focusing on customer engagement goes much further, as Amazon is all about creating personalized experiences based on algorithmic learning.

All in all, the so-called Amazon Flywheel focuses on several pillars:

  • Keep customer experience at the heart of everything

  • Constantly improve the SEO of your product pages

  • Keep testing, personalizing, and experimenting

  • Observe your catalog performance and improve your selection

Experiment, Test and Measure, Repeat 

 Our success at Amazon is a function of how many experiments we do per year, per month, per week, per day. – Jeff Bezos

Experiments are the key source of ideas and innovation at Amazon. Many companies do A/B testing these days, but the e-commerce giant took it to a new level, conducting over 10,000 online tests annually. They even have their own team called “Web Lab”, working day and night to make improvements to their websites and products.

Experiments span website changes, adding new features and design changes, moving elements around, updating algorithms for recommendations, changing search relevance rankings, making strategic partnerships, and introducing new services. 

They are focused on answering broader business questions and measuring a wide set of metrics, far beyond basic conversion rates.

For example, the “Ask an owner” button allowing customers to contact Amazon sellers is a result of rigorous experimentation. Another example is a series of tests revealing that moving credit card offers from the home page to the shopping card can boost Amazon’s profits by tens of millions of dollars (Harvard Business Review).

According to Bezos, there are several key elements of a successful testing model:

  • Maximizing the number of experiments you can do per a given unit of time

  • Always aiming to reduce the cost of the experiments

  • Building an infrastructure that allows you to do the above

You can easily spot examples of A/B tests run by the company by surfing Amazon.com from different devices/accounts.

For example, this is how the homepage looks for two different accounts:

Version 1:

Version 2:

Or, you can notice slight differences if you open the same product page from two different devices.

Version 1:

Version 2:

Embracing the “Culture of Metrics” And Data-Driven Automation

The central theme in Amazon’s growth is measuring all business aspects to understand user behavior. At Amazon, every decision is driven by data.

Managers had signs outside their offices that said, ‘In God we trust. The rest, bring me data. – Guru Hariharan, a former Amazon engineer

Data-driven automation is another reflection of this trend. From setting up dynamic content, generating recommendations, and enhancing advertising, to improving email nurture workflows, Amazon is tapping into technology to further enhance the customer experience.

To streamline and accelerate these processes, Amazon has been developing technology internally. Designing proprietary technologies and combining them with a licensed tech stack has been an integral part of their strategy. A great example is A9.com, a former subsidiary of Amazon that developed search engine and search advertising technology from 2003 to 2019.

Failing is a Part of Experimenting

“f you’re going to invent, it means you’re going to experiment, and if you’re going to experiment, you’re going to fail, and if you’re going to fail, you have to think long term. – Jeff Bezos

It’s key to understand that failure is a part of success, and Amazon is not an exception. Jeff Bezos has even called it “the best place in the world to fail” in his 2016 shareholder letter.

Examples include Amazon Spark (a visual shopping platform they launched in 2017 and shut down in 2019), Amazon Restaurants, Amazon Tickets, Endless.com (online fashion retailer by Amazon), and many others. 

Yet, the world’s biggest retailer doesn’t get discouraged by failed projects. Instead, failure is seen as crucial to improvement and the creation of better ideas.

The Future Looks Bright for Amazon

With the speed at which ideas and experiments are generated at Amazon, the future looks bright. 

First, there are numerous areas for improvement when it comes to making the Amazon.com experience more interactive, enhancing Amazon advertising solutions, and improving existing products. 

Analysts expect hyper-growth from Amazon Music, which is quickly gaining market share in the streaming business, challenging Spotify and other market leaders…

Other potential areas of growth, according to Amazon, are fresh food and luxury goods. Amazon’s recent investment in Deliveroo, one of the UK’s largest food delivery services, has also sparked a lot of interest regarding its future growth plans.

Unsurprisingly, the growth plans don’t stop there. The tech giant has launched Amazon Care, announcing their entry into the healthcare industry. Another example is Project Kuiper, which might potentially lead to Amazon providing Internet services.

As long as this famed culture of growth is preserved by Amazon, its market dominance is set to continue long into the future. 

About the author

Nelio Leone is a Full Stack Growth Marketer, Privacy Advocate, TEDx Speaker, and Founder of Urbanmonks.io Since he left a corporate marketing career at L’Oreal in 2014 to join a random startup, Nelio has been working in the Tech Ecosystem worldwide. 

From the U.S to Kenya, from Mexico to Saudi, from Denmark to the U.K, he has been helping founders “crack” their growth strategy. Currently keeping busy building UrbanMonks a Growth Studio with the world’s top 1% of growth experts in the scene.

Connect with Nelio on LinkedIn or Twitter.

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What is Growth Hacking? https://growthhackers.com/growth-hacking/what-is-growth-hacking/?utm_source=rss&utm_medium=rss&utm_campaign=what-is-growth-hacking Thu, 27 Apr 2023 15:25:35 +0000 https://growthhackers.com/?p=4157 The Origins of the Term Growth Hacker The term “growth

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The Origins of the Term Growth Hacker

The term “growth hacking” was coined by Sean Ellis in 2010. At the time, Ellis was working with several Silicon Valley startups, helping them to grow their user bases quickly and cost-effectively. Ellis had noticed that traditional marketing methods, such as advertising and PR, were becoming less effective at driving growth for startups. Instead, he began to experiment with different approaches, focusing on strategies that could rapidly and sustainably drive user acquisition, engagement, and retention. 

Ellis first introduced the concept of growth hacking in a blog post in 2010, titled “Find a Growth Hacker for Your Startup.” In the post, he defined a growth hacker as “a person whose true north is growth” and who uses “data, creativity, and curiosity to grow and engage their audience.”

Today, growth hacking is widely recognized as a key approach for startups and early-stage businesses looking to achieve rapid growth and success. While the term may have originated with startups, it has since been adopted by businesses of all sizes and industries.

What is Growth Hacking?  

Growth hacking is a multidisciplinary approach that involves teams from various departments such as product, marketing, engineering, sales, and more to achieve rapid and sustainable growth for businesses. The goal of growth hacking is to find innovative and cost-effective ways to attract and retain customers and drive their North Star Metric.

Some of the key principles of growth hacking include a focus on experimentation, leveraging data to inform decisions, and a willingness to take risks and try unconventional marketing methods.

Experimentation is a key principle of growth hacking because it allows growth hackers to quickly test and validate assumptions, and find the most effective tactics for achieving growth. Experimentation allows growth hackers to take a data-driven approach to growth by collecting and analyzing data from experiments to inform their decisions. They can use this data to identify what works, and what doesn’t, and to continuously improve their tactics.

Growth hackers use a variety of experimentation methods, including A/B testing, multivariate testing, user surveys, and customer feedback loops, to identify the best growth strategies. By constantly testing and iterating their tactics, growth hackers can identify what works best for their business, and adapt to changing market conditions to stay ahead of the competition.

Key Principles of Growth Hacking

Growth hacking has become a popular approach for businesses looking to achieve rapid and sustainable growth. At its core, growth hacking is about using data, experimentation, and creativity to identify and capitalize on new growth opportunities.

1. Experimentation

Growth hackers are constantly testing and trying new tactics to find what works best and drives growth. This involves using a variety of experimentation methods, such as A/B testing and user surveys, to validate assumptions and identify the most effective strategies.

Experimentation is critical at every step of the customer journey in growth hacking. This is because the customer journey is complex and multifaceted, and there are often multiple touchpoints and interactions that influence the customer’s decision to make a purchase or engage with a product or service. By experimenting at every step of the customer journey, growth hackers can identify the most effective tactics for driving growth and optimizing the customer experience.

2. Data-Driven Decision Making

Growth hackers rely on data to inform their decisions and prioritize tactics based on what’s working best. This involves collecting and analyzing data from various sources, including customer behavior, marketing campaigns, and product usage, to identify opportunities for growth.

Data is essential to finding insights for growth hacking experiments and uncovering opportunities for growth. By collecting and analyzing data from various sources, such as customer behavior, marketing campaigns, and product usage, growth hackers can identify patterns and trends that can inform their growth strategies. For example, data analysis can help businesses identify high-converting marketing channels, optimize pricing strategies, and improve product features and user experience. By leveraging data, growth hackers can focus their efforts on the most effective tactics, while avoiding costly mistakes and wasted resources.

By collecting and analyzing data from experiments, businesses can understand the impact of various growth tactics and determine which ones are most effective at driving growth. Through data analysis, growth hackers can identify patterns and trends in customer behavior, campaign performance, and product usage, and use this information to optimize and scale their growth strategies. Data-driven insights from experiments can also inform broader business decisions, such as product development and marketing strategies.

3. Rapid Iteration

Growth hackers prioritize speed and efficiency and are always looking for ways to optimize their tactics and strategies. This involves quickly iterating and improving on tactics based on the insights gained from experimentation and data analysis.

Iteration is a critical component of the growth hacking methodology, as it allows companies to quickly test and validate new growth tactics, optimize existing ones, and scale those that are successful. With this approach, growth hackers can quickly identify what works and what doesn’t, which enables them to pivot their approach when necessary and adapt to changing market conditions.

By iterating quickly, teams can learn from both their successes and failures, and use this information to refine their approach and uncover new opportunities for growth. This culture of experimentation fosters innovation and agility, which is critical for staying competitive in rapidly evolving markets.

3. Controlled Risks 

Growth hackers are willing to take risks and try unconventional tactics to achieve growth. This involves thinking outside the box and exploring new and innovative ways to attract and retain customers.

Growth hacking and experimentation provide companies with a way to take controlled risks when testing new strategies. Rather than relying on guesswork or assumptions, growth hackers use data-driven experimentation to validate their hypotheses and test their ideas in a controlled environment. By taking this approach, companies can reduce the risk of failure and make more informed decisions about where to allocate resources and invest their time and money.

Through experimentation, growth hackers can also identify potential problems or roadblocks before they become major issues, allowing them to make adjustments and pivot their approach as necessary. This helps to minimize risk and ensure that resources are used efficiently and effectively.

4. Collaboration

Collaboration is a critical element of the growth hacking methodology. Growth hacking involves cross-functional teams that work together to identify opportunities for growth and execute experiments. This approach fosters collaboration between different departments and encourages a culture of innovation and agility.

Collaboration allows teams to leverage the diverse skill sets and expertise of different departments, resulting in more effective and efficient growth strategies. For example, product teams can work with marketing teams to develop strategies that align with the product roadmap, while engineering teams can provide technical expertise to optimize website performance and user experience. By bringing together different perspectives and skill sets, growth hackers can create holistic and effective growth strategies that span across the entire customer journey.

Moreover, collaboration fosters a culture of experimentation and continuous learning. By working together to execute experiments, teams can learn from each other’s successes and failures, and use this information to refine their approach and uncover new opportunities for growth. This collaboration also helps to break down silos within the organization, creating a more cohesive and innovative company culture.

5. Focus on the Customer

Last but not least, the most important principle for driving growth is to deliver value to your customers. That is why value delivered is the rationale behind a North Star Metric, the one metric that translates value delivered and is the main focus to measure growth in the growth hacking methodology.

Growth hacking is not just about increasing the number of users or customers, but also about delivering value to them. For instance, growth hackers can use data to identify areas of improvement in the customer journey and then work on optimizing those areas. This might involve improving the onboarding process to make it easier for new users to get started, or optimizing the checkout process to reduce friction and increase conversion rates. By delivering a better user experience, growth hackers can improve customer satisfaction, reduce churn, and ultimately drive growth.
 

Misconceptions about Growth Hacking

 
Growth hacking has become a popular buzzword in the business world, with many companies adopting the methodology in an effort to drive rapid and sustainable growth. However, with this increased popularity comes a number of misconceptions surrounding growth hacking.
 
In this context, it is important to address and dispel some of the most common misconceptions surrounding growth hacking to provide a clearer understanding of what it is, how it works, and what it can achieve.
 

What Growth Hacking is NOT?

  1. Growth hacking isn’t synonymous with unethical or shady practices, such as spamming or manipulating users or finding and using backdoor tactic. However, true growth hacking is focused on delivering value to customers and building long-term relationships, rather than short-term gains through unethical tactics.
  2.  Growth hacking isn’t only about acquiring new customers or users. While acquisition is certainly an important aspect of growth hacking, it is only one piece of the puzzle. Retention, engagement, and customer satisfaction are also critical factors in driving sustainable growth.
  3.  Growth hacking isn’t about finding a magic bullet. In reality, growth hacking is a process of experimentation, iteration, and optimization that requires ongoing effort and continuous learning. It is not a one-time fix or a quick solution to growth challenges.
  4. Growth hacking isn’t only applicable to startups and small businesses. While growth hacking can certainly be effective in these contexts, it is also relevant and valuable for larger, established companies.

How to Keep  Learning About Growth Hacking

We have covered what growth hacking is,  key principles and misconceptions surrounding it, but it is just the tip of the iceberg. There are several paths to learn about growth hacking:

  1. Take a course: At Growth University you will find courses in growth, marketing and product, including te certification by Sean Ellis. 
  2. Learn with others: Join GrowthHackers Community to onnect with other growth professionals and collaborate to find solutions together.
  3. Learn by example: Learn how companies like AirBnb, Uber, Coca-Cola, and Slack approach growth with our growth studies
  4. Attend industry events: Attend the gathering of growth leaders at GrowthHackers Conference.
 
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Download The Data-Driven Approach To Growth Marketing E-book https://growthhackers.com/downloads/a-data-driven-approach-to-growth-marketing-e-book/?utm_source=rss&utm_medium=rss&utm_campaign=a-data-driven-approach-to-growth-marketing-e-book Wed, 26 Apr 2023 19:17:49 +0000 https://growthhackers.com/?p=4135 In this guide, you will learn about the growth hacking approach to data driven marketing, how to get organized, gather and select ideas to test, and then show you a few examples of experiments we’ve run in the past and how they performed. Lastly, you will find plenty of resources and easy lifts so you can start your using data to test marketing ideas right away.

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Welcome to our guide on data driven marketing from the Growth Teams in GrowthHackers and HubSpot. We will show you how to use the Growth Hacking Framework to run marketing experiments based on data and make improvements that make your customers fall in love with your products.

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Download The Enterprise Growth Playbook https://growthhackers.com/downloads/the-enterprise-growth-playbook/?utm_source=rss&utm_medium=rss&utm_campaign=the-enterprise-growth-playbook Wed, 26 Apr 2023 15:45:28 +0000 https://growthhackers.com/?p=4110 Are you looking to build a growth team and do not know where to
start? Look no further.

This is the enterprise growth playbook,
developed by Andy Boyd through experiences building growth teams in large enterprises.

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Are you looking to build a growth team and do not know where to start? Look no further. This is the enterprise growth playbook, developed by Andy Boyd through experiences building growth teams in large enterprises.

About the Author

Andy F. Boyd

Andy F. Boyd currently is the Chief Product Officer at Appfire. Previously he spent several years at IBM as Growth Product Manager for IBM Watson and Cloud. He has helped bring IBM Watson to market, and built the growth team in IBM Watson, which became a model for other growth teams in IBM.

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D2C and Learning Reports Quench Coca-Cola’s Thirst for Growth https://growthhackers.com/growth-studies/coca-cola/?utm_source=rss&utm_medium=rss&utm_campaign=coca-cola Wed, 26 Apr 2023 15:11:44 +0000 https://growthhackers.com/?p=4107 Discover how Coca-Cola implemented growth hacking strategies to drive success in their DTC efforts. Our study analyzes their tactics and provides key takeaways for your business.

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As online shopping surged due to COVID-19, the Coca-Cola Company scaled up strategies to ensure its brands were “within a click’s reach of desire”. Lockdowns have triggered digital buying two years ago, with shoppers seeking the safety and convenience of contactless options – including click-and-collect (curbside pickup), restaurant takeout and delivery, meal kit subscriptions, e-grocery shipments, and more. That’s when Coca-Cola’s direct-to-consumer (D2C) digital experience helped meet the rising demand in Latin America.

D2C as a Trend

Direct to Consumer (D2C) has emerged as the growing trend for brands including some of the large FMCG traditional companies as a route to directly connect with their customers, reach them faster, provide a customized shopping experience, get customer data and also make the entire operation more profitable. 

The Coca-Cola Company has surfed the trend for a few years now, but since 2020 they started seeing D2C as an opportunity to unlock broader growth strategies (opposite the former local efforts) as well as operations that oversee the entire customer journey.

A Cookieless-Proved Strategy

The cookie-less world has been a trending topic here for the GrowthHackers community. Since January 2020, when Google announced that it will phase out support for third-party cookies in Chrome within two years, all marketer’s and growth professional’s clocks started ticking. The announcement did not come as a surprise for advertisers, Coca-Cola included, but the deadline pushed everyone to get their (data) houses in order.

Cookies, of course, are the data files that allow websites to log users’ activity on the site, while third-party cookies let them share that information with other technology partners too. Again, D2C came in great timing, giving Coca-Cola’s team a head-start in becoming more and more independent, working directly with their first-party data.

“Definitely Digital Transformation is not only about integrating digital tools but also to generate new ways of work. An example of this was the generation of the eCommerce Cells, or decentralized models with autonomy for agile decision making,” points out the Growth Strategy Sr Manager Ruben Garcia Falconi.

User Experience and AARRR

The current Growth team started with a restructure that happened back in 2021. Before that, the D2C structure was more focused on local teams. Now Growth oversees the entire funnel, following the pirate metrics, from acquisition, activation, retention, referral, and revenue (AARRR).

The D2C team took over digital transformation. According to Ruben the team follows a more customer-centric approach and at the same time taking advantage of the brands. “We translate Coca-Cola Christmas seasonality into D2C plans actions, delivering relevant experiences for the consumer such as content, recipes, videos, among others.”

And with this formula, they’re achieving the best results of 2021: December was the best month of the 2021 year in terms of Revenue, Transactions and Traffic. “We are always asking ourselves the reason why consumers could be looking to buy in our D2C, knowing that price can’t be always the answer”, he shares.

Growth experiments on continuously enhancing the consumer experience, delivering personalized brand experiences. “D2C has an important role in terms of service. We established a process to generate a backlog for Product and UX and a feature for knowing the NPS, obtaining insights directly from the consumer,” explains Ruben.

Mapping the Backlog

They do work with coupons and run tests on pricing, but that’s far from being the main resource. By using the AARRR model the team easily identifies opportunities from growth that may come way before the bottom funnel.

Endless Inputs and the Prioritization Model

Growth is a culture and not a position or simply a process to be followed,” defends Ruben. That’s why ideas are generated by the entire ecosystem, which includes sales and bottlers, creating a huge amount of inputs. They have to prioritize, generate a backlog and decide on the most relevant proposition.

And as we see in many cases, even in hundred-year-old companies like IBM and Coca-Cola, growth is usually operated with limited resources and time, so assertive decision-making is crucial. Prioritizing which experiments are worth running or not is a hot topic for the Growth team at the moment. They use a prioritization model that takes into consideration the urgency for doing it, the user impact and the business value, among others. This prioritization model is important to bring the inputs to the development and UX teams, and also to align the multiple stakeholders that continuously generate test ideas: Direct-to-consumer, other teams of Coca-Cola and the bottling system.

Prioritization Process

Regarding the bottling system, Coca-cola works with them across Latam, and that includes many teams which need to be autonomous. So they run regular meetings with the bottlers generating learnings as they go. The role of growth is not in these meetings, but is directly working with the UX team, Marketing, CRM, data and analytics. The Growth Manager Ruben Garcia is also in charge of the relationship with all the agencies – essential to their media and commercial operations.

To be on the same page, these teams are looking at dashboards where a combination of Revenues, Monthly Users and NPS is equivalent to the North Star Metric.

Risk-taking

These teams also share their learning reports across the board, continuously relying on each other’s feedback. From local sales daily meetings, to the media’s experimentation with audiences and the learnings report shared by the promotions team every month, Growth is creating a decentralizing model. The scrum master is in charge of connecting all the dots. Owning the entire perspective, this role shares the learnings from one country to the other.

The more learnings we have, the more we can improve“. An example of this is Hot Sale. We failed with this initiative, but capitalizing on the learnings led us to achieve great results in other seasonalities, such as El Buen Fin. “From the learning perspective, encouraging failure will allow us to generate more learnings like this,” says Ruben. And that’s something the GrowthHackers community agrees on: the more we take risks, the more we learn and the more we grow.

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