Diagnosing Retention Drops in Food Delivery
The Problem
A Regional Growth Director at a major food delivery platform in Southeast Asia was facing a crisis: Q3 retention numbers had crashed compared to Q2. The board was asking questions, and the data team was scrambling to find answers in a sea of dashboards.
The traditional approach would have taken weeks—pulling data from multiple sources, writing complex SQL queries, waiting for the analytics team to validate assumptions. But with AlchemData, the conversation took minutes.
The Conversation
Instead of waiting for reports, the growth director simply asked: "Why are my retention numbers terrible this quarter?"
AlchemData's Analytics Agent immediately understood the context—it knew which metrics mattered, which tables to query, and how retention was calculated for this specific business. Within seconds, it surfaced the root cause.
The Insight
Key Finding
Thailand's aggressive "50% Off" promotions were attracting promo hunters with only 6.5% retention, compared to 28% retention for "Free Delivery" users. The discount strategy was filling the funnel with the wrong customers.
The Outcome
- Immediate clarity: The growth team understood exactly which promotion was causing the problem
- Budget reallocation: Marketing spend was shifted from discount promos to Free Delivery offers
- Projected impact: $150k improvement in profitability through better customer acquisition quality
Why This Matters
In a traditional analytics environment, this insight might have taken 2-3 weeks to surface—or worse, might never have been discovered at all. The growth director would have continued throwing budget at the wrong campaigns, compounding the retention problem.
With AlchemData, the business context was already institutionalized. The platform knew that "retention" meant something specific for this company, that Thailand had different promotion structures, and that the comparison needed to be cohort-based. No hallucinations. Just trusted insights.