The 14-Day Spend Simulation: Scaling a Swiggy TikTok Campaign Without Burning Budget
Objective: Given a simulated 14-day TikTok campaign dashboard, make the same budget, targeting, and creative-refresh calls a live media buyer would, without risking real ad spend.
You're running paid social for Swiggy's TikTok push to drive food-delivery app installs across a ₹1,40,000, 14-day test budget.
Read each stage's dashboard, diagnose the signal against the lesson's benchmarks, and make the call. A wrong call routes you into a worse dashboard on the next stage, exactly like it would in a real ad account.
Before you start
What you'll need
Free path (everything below is enough to finish)
It's the platform this entire simulation is modeled on, free to use with just an ad account
Free, simple decision log
The process
Simulation
Day 2, first dashboard check
Day 2 of 14You launched an In-Feed campaign 2 days ago for the Swiggy app-install push. First real look at the dashboard.
Swiggy App Installs · In-Feed campaign · Day 2 of 14 Impressions 142,000 Hook Rate (3-sec view) 12% CTR 0.4% Installs 38 CPM ₹680 Frequency 1.3x
Hook Rate is sitting at 12%, below the lesson's 15% failure line, and CTR is weak. What do you do?
Final deliverable
A day-by-day decision log (4 calls) with your reasoning, compared against the simulation's optimal path at the end.
See a reference example
Zomato, TikTok spend simulation log (excerpt) Day 2: Hook Rate 11% → swapped creative (optimal) Day 6: 4 variations queued, held broad audience (optimal) Day 10: kept pacing steady, queued next refresh (optimal) Final CPI: ₹131, 14% better than account average
Success criteria
You're done when you can:
- Diagnoses the Day 2 weak Hook Rate as a creative problem, not a targeting problem
- Does not narrow the audience in response to a Hook Rate or CPM problem
- Recognizes the 3-5 creative variation minimum before frequency crosses 2.5x
- Reaches Day 14 without a costly decision in the final stage