Insights, case studies, and experiment logs from our growth journey.
We hypothesized that social channels could validate content topics before investing in long-form SEO articles. Here is what happened when we tested Reddit, X, and LinkedIn with identical content angles across 3 topics.
Programmatic SEO uses templates and structured data to generate thousands of search-optimized pages. This guide covers the strategy, technical implementation, and common pitfalls -- with real examples from GenGrowth's content engine.
A detailed case study of how astrologywiki.com went from a blank domain to 5,000 monthly active users in 14 weeks using GenGrowth's discovery-to-execution pipeline. Real numbers, real strategy, real results.
Attribution determines how you allocate credit across marketing touchpoints. Choosing the wrong model leads to misallocated budgets and false confidence in underperforming channels. Here is how to pick the right one.
Most growth experiments fail because they skip the boring parts: hypothesis formation, sample sizing, and measurement criteria. This playbook covers the full process from idea to iteration, with templates you can use today.
Growth automation replaces manual, repetitive marketing tasks with systematic workflows that discover opportunities, generate content, and measure results without constant human oversight. This guide covers what it is, why teams need it, and how to get started.