Success Story
60-Location Fast Casual Brand Replies to 7,500+ Delivery Reviews in 90 Days and Sends 1,300 Capped Win-Back Offers.
Summary
For high-volume operators, reviews are not just feedback, they are conversion and retention in public. This fast casual brand needed one way to respond across third-party delivery apps at speed, while keeping tone consistent and protecting margins when making it right for guests. With Voosh, they centralized incoming reviews, automated replies with brand-safe controls, and added win-back offers that automatically follow strict coupon caps based on store, customer type, and order value.
The Challenge
Before Voosh, the brand faced problems that show up fast at multi-location scale:
Reviews were scattered across channels.
Delivery apps created fragmented workflows and inconsistent coverage.
Response speed varied by location.
Some stores replied quickly, others fell behind, and guest experience became unpredictable.
Brand voice was hard to protect.
“Different responders meant tone drift, especially when teams were under pressure.
Recovery offers needed guardrails.
They wanted to win guests back, but not with unlimited discounting or inconsistent decisions.
Voosh Impact
$0+
Reviews replied to across delivery apps in 90 days, with consistent brand voice.
Under 0 minutes
Median response time for low-rating reviews that require the fastest recovery.
0+
Win-back offer codes delivered directly inside review replies in 90 days.
$0 max
Automated coupon cap enforced with rules by store, guest segment, and order thresholds.
Why It Worked
One inbox for delivery reviews.
Centralized intake made it easy to run a consistent playbook across locations.
AI replies with real controls.
Presets and safeguards kept responses fast and on brand without losing quality.
Win-back automation with margin protection.
Offers were included only when rules allowed, capped by store policy and order context.
What Voosh Did
Unified third-party delivery reviews into one workflow.
Brought delivery app reviews into a single queue so nothing slipped through.
Launched AI replies with brand-safe presets.
Standardized tone and formatting, with escalation for sensitive cases.
Prioritized the reviews that matter most.
Routed low-star and high-risk reviews for immediate attention while handling routine feedback at speed.
Turned negative reviews into controlled win-back moments.
Embedded offer codes directly in replies, with automated caps by store, guest, and order value.
Delivered trends, rankings, and alerts by location.
Surfaced recurring issues early so ops teams could fix the root cause, not just respond.
