Success Story
15-Location QSR Lifts Delivery Take-Home 7% (30k) in 5 Months With Measured Marketplace Ads + Promotions.
Summary
A 15-store quick-service brand in San Diego saw delivery demand flatten across DoorDash and Uber Eats, even as marketing budgets shifted over time. The team needed a clear read on what was driving profitable growth because net payouts were not improving in step with spend. With Voosh Ads + Promotions, they unified campaign and offer performance by store, then moved investment into the ads and promos that consistently improved take-home.
The Challenge
Before Voosh, the operator was dealing with familiar marketplace marketing and payout pressure:
Fee drag on take-home.
Marketplace charges and promo costs reduced net delivery deposits, with Uber Eats especially painful.
Spend changes, same outcome.
Budgets moved, but the net deposit line did not reliably follow.
No per-store winners.
They could not clearly identify which campaigns and offers performed best by location.
Testing without guardrails.
Without a disciplined approach, learnings were inconsistent and hard to scale across 15 stores.
Voosh Impact
+0% YOY
Delivery payout lift in 5 months (30k), with sales up +16% YOY.
0X
Delivery marketing ROI (20% improvement).
+0%
First-time customers in the first 3 months.
0%
Higher retention driven by targeted offers.
Why It Worked
Measurement made decisions easy.
A single view connected ads and promos to ROAS, cost per order, and payout lift by store.
Controlled testing beat guesswork.
Structured campaigns created clean learnings the team could repeat and expand.
Offers were built to protect margin.
Promotions were tuned by segment and refined so growth did not come at the expense of take-home.
What Voosh Did
Every campaign. Every store. One performance view.
Pulled DoorDash and Uber Eats ads plus promo results into a unified dashboard that rolled up cleanly by location and channel.
Made ROI and payout lift impossible to miss.
Tracked return on ad spend alongside cost per order and payout impact so marketing and finance aligned on what to scale.
Ran short-cycle ad flights with clear learning goals.
Rotated campaigns in alternating weeks and coordinated nearby stores to reduce overlap and improve signal quality.
Built a promo system tailored to real guests.
Deployed 50+ offer variants for different customer segments and tightened loyalty discounting to keep promos profitable.
Created an ongoing optimization rhythm.
Reviewed performance monthly by store, compared marketplace trends versus in-store behavior, and surfaced anomalies early.
