Now that you’re analyzing customer-centric data, it’s time to do more in-depth analysis. Begin to cohort and segment your user base. It’s best to start simple: try segmenting by active users, device type, regions, plan types, and referring sources.
Create both team- and company-wide KPIs, so your results can be benchmarked and evaluated against a common goal. Use an A/B testing tool like VWO or Optimizely to begin doing experiments.
It’s all too easy to get caught up in knowing numbers just for numbers’ sake. Avoid this by being intentional about what will happen as a result of your analysis. Focus only on analysis that can result an action.
Hack 1: Develop a culture of experimentation. To do this, ramp up your A/B testing efforts for experimentation velocity. Report and present on your hypotheses and the results.
Hack 2: Transparency is everything. Share your team and company dashboard KPIs, so everyone is on the same page and accountable to results.
Hack 3: Start thinking about a warehouse and a BI tool for deeper analysis. You can start to build attribution models, perform statistical analysis, and begin leveraging data science for optimization.