Digital-First Campaign Optimization
Set a decision cadence, use consistent cohorts and test the biggest constraint first.
Cheat sheet
Set a decision cadence, use consistent cohorts and test the biggest constraint first.
What to check first
Break results down by product, channel and campaign age. Match order and return windows.
How to make the call
Promote winners after returns settle and avoid optimizing to early order volume.
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Indian practice case
Fictional scenario
A Mumbai retail app sees paid conversions rise while return-adjusted contribution falls.
Reveal the step-by-step solution
- Diagnose the problem.
Break results down by product, channel and campaign age. Match order and return windows.
- Work through the evidence.
If deep discounts drive high returns, test a narrower offer and compare net contribution per eligible user.
- Recommend and validate.
Promote winners after returns settle and avoid optimizing to early order volume.
More Indian cases
Interview question
How would you use digital-first campaign optimization to make the decision in this case? Explain which data you need first and what would change your recommendation.
See what a strong answer includes
If deep discounts drive high returns, test a narrower offer and compare net contribution per eligible user. Promote winners after returns settle and avoid optimizing to early order volume.