Continue monitoring average revenue per retained user to determine whether revenue growth is driven by user expansion or spending concentration
Extend country-level analysis beyond early retention to include revenue behavior, identifying markets with stronger monetization potential
Examine cohorts exhibiting high revenue retention despite low user retention to assess dependence on a small number of high-value customers.
Complement monthly cohorts with weekly retention analysis to better capture early churn dynamics and on-boarding effectiveness.
Monthly Aggregation:
Monthly cohorts may obscure short-term churn patterns, particularly during early user lifecycle stages.
Revenue Concentration Effects:
High revenue retention may be driven by a small subset of retained users, limiting the clarity of revenue metrics without additional user-level segmentation.
Geographic Scope:
Country segmentation is limited to top markets and does not account for regional pricing, logistics, or marketing differences.
Behavioral Context:
The dataset captures transactional activity but does not include detailed product usage events, limiting insight into behavioral drivers of retention and churn.