RTF's analytics store contains more than 4.8 million review rows across active scorecard channels.
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Customer experience intelligence
Real Time Feedback
AI Escape helped Real Time Feedback turn reviews from Google, Yelp, BBB, DealerRater, OpenTable, TripAdvisor, Cars.com, Carfax, and other review channels into a scorecard that grades reputation health, finds recurring customer issues, compares local competitors, and supports follow-up campaigns.
Scorecard scale
Review intelligence with operating windows.
The scorecard work ties large-scale review activity to practical reputation checks: where reviews come from, how recent patterns are changing, what customers repeat, and how the team can follow up.
The scorecard aggregates review signals from Google, Yelp, BBB, DealerRater, OpenTable, TripAdvisor, Cars.com, Carfax, and other review channels.
Reports cover categories including retail, automotive, fitness, restaurants, medical offices, spas, hotels, grocery, and other local-service contexts.
RTF grades rating, review volume, reply rate, and response timing across 30-, 60-, 90-, and 180-day windows.
From scattered reviews to a scorecard teams can use.
What changed
Customer feedback is scattered before it becomes useful
Real Time Feedback is not a single review dashboard. The scorecard has to make sense of customer activity across Google, Yelp, BBB, DealerRater, OpenTable, TripAdvisor, Cars.com, Carfax, Booking, Expedia, CarGurus, Edmunds, and other review surfaces where the data is available.
AI Escape helped shape that work into a scorecard system: 4.8M+ reviews analyzed, 12 review channels, 9+ business categories, 30/60/90/180-day grading, competitor comparisons, AI issue grouping, and contact/campaign support for the follow-up work after a scorecard is created.
What AI Escape built
The work connected review ingestion, scorecard windows, AI issue grouping, competitor context, contact discovery, drip campaigns, email/text support, CRM enrichment, and zip-based outreach tooling.
The important part was not another reputation widget. It was the operating shape: RTF can turn scattered customer feedback into a scorecard that explains what changed, how the business compares, what customers repeat, and what follow-up path is available next.
Scorecard architecture
Reviews, grades, competitors, and follow-up paths connected as one system.
The Real Time Feedback work connects multi-channel review ingestion, rolling scorecard windows, AI issue grouping, competitor context, and campaign support.
Multi-channel review activity becomes one scorecard surface.
RTF pulls together review activity from Google and specialty review sites so a business can see reputation health without hopping between separate dashboards.
Ratings, review volume, reply rate, and response timing are graded by window.
The scorecard turns 30-, 60-, 90-, and 180-day review windows into practical grades for average rating, review count, response rate, and response speed.
AI clusters recurring customer problems into patterns the team can act on.
Review text is grouped into issue themes so operators can see what customers repeat across locations, channels, and recent scorecard periods.
Competitor and category context keep scores grounded.
The system compares a business against nearby competitors and relevant category norms so the scorecard reads as operational context, not just a vanity metric.
How the scorecard works
A business can move from review data to ranked issues and next actions.
The operating path stays concrete: collect review activity, grade recent performance, explain recurring issues, compare against nearby competitors, and support follow-up work.
Gather review data from the places customers actually use.
The platform brings together Google, Yelp, BBB, DealerRater, OpenTable, TripAdvisor, Cars.com, Carfax, Booking, Expedia, CarGurus, and Edmunds review signals where available.
Turn recent reputation activity into scorecard windows.
For each scorecard, RTF grades average rating, review volume, reply rate, and response timing across 30-, 60-, 90-, and 180-day periods.
Use AI to surface the issues behind the score.
AI issue grouping helps the team move from a score to the customer themes driving it, such as service, communication, wait times, or other repeat concerns.
Benchmark against nearby competitors and category patterns.
Competitor rows and category statistics keep the scorecard tied to the market a business is actually operating in.
Turn scorecard insight into contact and campaign work.
Contact discovery, campaign templates, email, text, CRM enrichment, and zip-based outreach tools help the scorecard support sales and customer communication.
The review and follow-up surfaces inside the scorecard.
Connected systems
- Google / Yelp / BBB Core review families for broad local-business coverage.
- DealerRater / Cars.com / Carfax / Edmunds / CarGurus Automotive-specific channels support dealership and vehicle-service scorecards.
- OpenTable / TripAdvisor / Booking / Expedia Hospitality, restaurant, and travel channels extend scorecards beyond Google-only reputation tracking.
- Email / SMS / CRM enrichment Campaign and contact paths help teams follow up after the scorecard surfaces an opportunity.
After the case study
Bring one operating workflow to the table.
If the Real Time Feedback story feels close to a workflow you want to move, book a working conversation with AI Escape. We will use the case study you just read as the starting point and map the first concrete system worth building.