Growth hacking: techniques that work

How to apply rapid experimentation and growth frameworks to your digital product

9 min

Growth hacking is not marketing with tricks: it is a systematic approach to growth based on rapid experimentation, data and product optimisation as an acquisition channel. It combines marketing, product and data to find scalable growth levers.

This guide covers the AARRR framework (pirate metrics), product-led growth techniques, viral loops and how to build an experimentation culture that generates rapid learning and sustained growth.

AARRR framework: pirate metrics

The AARRR framework (Acquisition, Activation, Retention, Revenue, Referral) breaks growth into five measurable stages. Each stage has its own metrics and optimisation levers, and the biggest impact usually lies in the weakest stage, not the most visible one.

A common mistake is obsessing over acquisition when the real problem is activation or retention. There is no point in bringing 10,000 new users per month if 90% leave after the first session. AARRR forces you to diagnose where the real bottleneck is.

  • Acquisition: how users discover your product
  • Activation: how many have a valuable experience on their first visit
  • Retention: how many come back after their first experience
  • Revenue: how and when you monetise users
  • Referral: how many users bring in new users

Product-led growth (PLG)

Product-led growth uses the product itself as the primary channel for acquisition, conversion and retention. Instead of relying on sales teams or ad campaigns, the product is designed so users discover, try and share it on their own.

Freemium models (Slack, Notion), self-serve trial onboarding (Figma) and collaboration features that require inviting other users (Dropbox) are PLG examples. The key is minimising friction between discovery and value realisation.

Viral loops: exponential growth

A viral loop is a mechanism within the product that incentivises current users to bring in new users. The cycle repeats: current user → invites/shares → new user → activates → invites/shares. If the viral coefficient (K-factor) exceeds 1, growth becomes exponential.

The most effective viral loops provide value to the person sharing, not just the recipient. Dropbox offered extra storage to both the inviter and the invitee. Calendly works as a natural viral loop: every time you schedule a meeting, the recipient discovers the tool.

  • Incentivised: rewards for referring (discounts, features, credits)
  • Natural: product usage inherently exposes new users
  • Content-based: users create content that attracts others (Canva, Loom)
  • Social: sharing achievements, results or creations on social media

Experimentation culture

Growth hacking is built on continuous experimentation, not occasional brilliant ideas. An experimentation culture defines clear processes: hypothesis ideation, prioritisation (ICE: Impact, Confidence, Ease), test execution, results measurement and learning documentation.

Experimentation velocity matters more than individual success rate. A team that launches 10 experiments per month and finds 2 winners grows faster than one that launches 1 perfect experiment per quarter. Learning quickly from what fails is as valuable as success.

Optimising activation: the "aha" moment

Activation is the most undervalued AARRR stage and often the one with the greatest impact. The "aha" moment is the instant when the user understands and experiences the product’s value. For Slack, it is sending the first message. For Spotify, it is creating the first playlist.

Identify your "aha" moment by analysing which first-day actions correlate with long-term retention. Design onboarding to get the maximum number of users to that moment as quickly as possible. Every unnecessary step along the way is a drop-off point.

  • Analyse which actions in the first 7 days correlate with retention
  • Design onboarding to drive users to the "aha" moment quickly
  • Remove unnecessary steps: every field, screen or decision is friction
  • Use emails and notifications to re-engage users who did not complete activation

Key growth metrics

Beyond AARRR, growth metrics include the viral coefficient (K-factor), viral cycle time, CAC payback period (how long it takes to recover the cost of acquiring a user) and activation ratio (percentage of new users who reach the "aha" moment).

The North Star Metric is the single metric that best reflects the value your product delivers to users. For Airbnb, it is nights booked; for Facebook, daily active users. All experimentation should be oriented towards moving that metric.

Key Takeaways

  • The AARRR framework diagnoses where the real growth bottleneck is
  • Product-led growth uses the product as the acquisition and conversion channel
  • The most effective viral loops provide value to both the sharer and the recipient
  • Experimentation velocity matters more than individual success rate
  • Optimising activation typically has the greatest impact on growth

Want to accelerate your digital product’s growth?

We apply growth frameworks to your product: AARRR diagnosis, activation optimisation and experiment design that drives measurable growth.