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Growth Hacking: How It Helps Companies

Growth hacking is a methodology for product and business development based on regular idea testing, data analysis, and solution finding. It aims for systematic sales increases and sustainable business growth using minimal resources.

Key principles of growth hacking

Speed and iteration. In contrast to wide-scale strategies, where development and launch can take several months, growth hacking operates on short sprints lasting from a few days to a couple of weeks. In each cycle, one or more hypotheses are tested, with the results immediately used for the next steps.
Data orientation. In growth hacking, every action must be backed by numbers and accurate conclusions:
  • how users behave inside the product;

  • at which steps they drop off;

  • which channels perform more effectively and cost-efficiently.
Discipline of hypotheses. Every idea is recorded: what exactly is being tested, which metric should change, what result is expected, and what timeframe is set. Hypotheses undergo testing, and the results are documented. This allows for an objective view of the effect and creates a knowledge base upon which the growth strategy is later built.
Cross-functional teams. Growth hacking requires a team where marketers, analysts, product managers, designers, and developers work closely together. This accelerates hypothesis testing and impacts both advertising and the overall customer journey.

Differences between growth hacking and traditional marketing

At first glance, growth hacking and traditional marketing pursue the same goal: to help a product grow and find new customers. However, there are fundamental differences between these approaches.

Traditional marketingGrowth hacking
The product is perceived as something that needs to be delivered to the market through communications and promotion. The main task is to explain the value and persuade the audience to make a purchase.The product is viewed as a growth tool in itself. Here, the central question is, "How to change the product to better solve user problems and stimulate growth?".
Long-term focus: quarterly or yearly plans with numerous channels and budgets approved for extended periods.Built on a "hypothesis roadmap": a list of ideas tested in short cycles. For example, today the team tests a new onboarding format, and next week tries a different pricing model.
Relies on conducting marketing campaigns, often large-scale and expensive: outdoor advertising, media, event sponsorships.Uses precise mechanics that are usually cheaper and can be implemented faster: content personalization, automated CRM scenarios, experiments with the product, pricing, and subscription plans. Their cost largely depends on infrastructure, but they often allow testing ideas without significant investments.
Media metrics (reach, impressions, and scale of advertising impact) and metrics like CAC (customer acquisition cost), LTV (customer lifetime value), and ROI (return on investment) are measured. The focus is often on media metrics, especially in large branding and ATL campaigns.Works with the same business metrics (CAC, LTV, ROI), but these metrics become the starting point for experiments. If a channel or mechanism does not improve key metrics (acquisition cost, retention, revenue), it is not scaled.
Risk is often concentrated in one large campaign. If it fails, the business loses both money and time. Therefore, the launch is accompanied by long preparation and a high level of caution.The team launches a series of small experiments simultaneously and quickly checks the results. The process is more flexible, allowing the company greater freedom for trial and error. If the hypothesis works, it is scaled, and if not, losses are usually minimal.

Tools for growth hacking

To ensure marketing experiments yield results, teams use proven analytical approaches and tools. Let's examine the main ones.

AARRR model

One of the most well-known models in growth hacking, consisting of five stages:

Acquisition. Here, the goal is to bring quality traffic to the product. Various channels and segments are tested, and landing pages are evaluated. Metrics such as click-through rate, cost-per-click, and customer acquisition cost are used in the assessment.
Activation. At this stage, it is important for the new user to see the initial value of the product as quickly as possible. This could be a simplified onboarding, a short demo video, or social proof in the form of testimonials and case studies. Key indicators include the activation rate (the percentage of users completing a target action) and the time to initial value.
Retention. The goal of this stage is to turn product usage into a habit. Tools include reminders, personalized offers, and gamification elements. User activity, session frequency, and customer churn rate are measured and evaluated.
Duolingo retains users through a gamification system and daily reminders
Revenue. This relates to monetization: pricing plans, paywalls, upsells, and cross-sells. For example, when a user reaches the free plan limit, they are offered an upgraded plan. Key metrics include conversion to payment, ARPU (average revenue per user), and average order value.
Referral. The ideal scenario for any product is when users bring in new customers themselves. This is where referral programs (with rewards for inviting friends and acquaintances) and in-product sharing features (where sharing results within the product is easy) come into play.
For example, a successful referral program significantly helped Dropbox. Users received additional storage space for inviting a friend, which ensured immense growth in the platform's popularity.
The referral program in Dropbox continues to this day

A/B testing

This is one of the key tools of growth hacking. An element of the product or campaign (such as a landing page, registration form, or pricing tier) is created in multiple options. The audience is divided into groups, with each group seeing a specific option. After that, it is analyzed which option generated more clicks, registrations, or purchases.

The main advantage of A/B tests is that decisions are made based on accurate data. This approach helps identify the exact changes that can impact sales and conversions.

Marketing analytics

Helps identify weak points in the funnel and prioritize growth opportunities. The following tools are used:

  • Cohort analysis. Comparing the behavior of different groups of users (for example, those who registered in different months). This helps understand how retention changes over time.

  • Heat maps. Show where users click on a page and when they close the site.

  • Event tracking. Track specific actions in the product: registration, video views, adding items to the cart.

  • Attribution systems. Help determine which channel actually brought in the customer: social media advertising, email newsletters, or organic search.

Steps to work with growth hacking

Growth hacking is a full-fledged methodology that integrates into the marketing management system. The process of working with it involves five main steps.

Step #1. Define the goal. It should be specific, measurable, and understandable; otherwise, experiments can quickly descend into chaos. Correctly formulating the goal helps set priorities and select key metrics wisely.
Step #2. Formulate the marketing hypothesis. Like the goal, the hypothesis should be specific and testable. For example, it can be formulated as such:
  • "If a video tutorial is added to the onboarding, the activation rate will increase by 12%".

  • "Reducing the number of fields in the registration form will increase conversion by 7%."
Step #3. Conduct the experiment. Objectively check whether the idea works. A format is selected (e.g., A/B or multivariate tests, pilot launches, limited releases), the minimum significant effect and sample size are defined, and the audience is divided into control and test groups.
Step #4. Analyze data and make adjustments. After the experiment ends, results are evaluated based on their impact on the target metric, and side effects are identified (for example, an increase in conversion may accompany a drop in retention). If the hypothesis is confirmed, it is recorded as successful. If not, then the team formulates a new version for the next cycle.
Step #5. Scale successful solutions. Established hypotheses:
  • are implemented in the product and become part of its functionality;

  • are integrated into the marketing strategy;

  • enter the company's managed growth system.

Over time, a base of proven tools and mechanics that work for the company is formed from such findings.

Where growth hacking is used

Startups and new projects

For startups, growth hacking can become a tool for testing product viability. A limited budget does not allow for large-scale campaigns, so every initiative must deliver quick and noticeable results. Hypotheses (from small changes to new scenarios) are tested promptly, successful solutions are scaled, and ineffective ones are discarded.

Companies in the scaling stage

When a product has already found its audience and generates initial revenue, the business faces the challenge of accelerated growth. Here, growth hacking works in addition to traditional marketing and allows for faster and more precise scaling:

  • experiments in different channels are launched in parallel;

  • new monetization models are tested;

  • retention mechanics and referral programs are implemented, stimulating repeat purchases and organic customer influx.

Product teams in corporations

Large companies can use growth marketing within individual product teams when there is a need to enhance process efficiency or improve user experience. For this:

  • A/B tests of interfaces and usage scenarios are conducted;

  • data is analyzed to identify weak points;

  • specific improvements that can impact conversion and the company's overall strategy are made.

Agencies and consulting teams

Growth hacking is also used in agencies that are expected to deliver quick results with limited budgets. It allows testing hypotheses for clients without large investments and finding successful promotional channels. At the same time, effectiveness is confirmed by numbers and analytics rather than just expert opinions.

Risks and limitations of growth hacking

Focus on local improvements

Constantly optimizing small details (buttons, texts, banners) can improve metrics but often only on a local scale. For a major breakthrough, companies sometimes need to take bigger steps, such as entering a new market, changing the product presentation, or launching a fundamentally new product.

Low data volume

If traffic is low, the sample is too narrow, or there are insufficient events, statistics may become unreliable. The solution is either to increase the observation period or to launch more substantial changes so that the effect is noticeable even with a small user base.

Flaws in analytics

Errors in calculations, ignoring statistical significance, or choosing an inappropriate metric can lead the team to false-positive conclusions. Scaling these can lead to wasted time and budget, as well as slow product development.

Ignoring strategy

Growth hacking does not replace a comprehensive marketing strategy. It provides important data about hypotheses, but the long-term direction must be set separately. If the focus is solely on tactical experiments, the overall picture of product development may be overlooked. It is crucial to maintain a balance between rapid tests and strategic planning.

Conclusion

Growth hacking demonstrates that a company's growth can also be built on experiments and a flexible approach. It teaches how to seek growth opportunities within the product, discard what is unnecessary, and focus on what truly delivers results. Even failed hypotheses can turn into a source of valuable knowledge, and successful findings can form the basis for scaling.

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