Food Delivery Analytics for US Restaurants and Brands
Delivery apps are now a primary sales channel — but most restaurants run them on instinct. We turn DoorDash, Uber Eats and Grubhub into structured analytics on delivery times, ratings, ranking and demand, so US restaurant groups can manage the delivery channel with real numbers.
The delivery channel is huge, but most brands cannot measure it
A restaurant group can have hundreds of storefronts across three delivery apps, each with its own ranking, rating and delivery performance. Leadership sees order totals but not why a location underperforms — slow delivery times, a slipping rating, low search visibility, or a competitor winning the category. Without structured analytics, the delivery channel stays a black box.
Delivery analytics that turn the channel into numbers
This is decision-ready delivery data — built so your operations and marketing teams manage delivery apps as a measured channel, not a guess.
Delivery performance scored for every storefront and platform.
Ratings, ranking and delivery signals refreshed every day.
From your location list to a validated delivery analytics pilot.
Every delivery-channel performance signal
We deliver structured fields engineered for restaurant operations, marketing and franchise teams across US delivery platforms.
Delivery time estimates
Advertised delivery and prep times, by location and platform.
Ratings & reviews
Star rating, review count and rating movement over time.
Search ranking
Where a restaurant appears for tracked terms and categories.
Promotions & offers
Active platform promotions, free-delivery offers and discounts.
Storefront status
Open, closed or paused status across delivery apps.
Sponsored placement
Whether competitors are running sponsored listings.
Popularity signals
"Most ordered" and popularity badges where platforms show them.
Performance history
A timeline of rating, ranking and delivery-time changes.
The US food delivery platforms we analyze
Need more US delivery sources?
We can extend delivery analytics to additional US platforms and regional delivery services in a later phase, all in one consistent schema.
What US food brands do with delivery analytics
One delivery analytics feed supports operations, marketing and competitive strategy.
Location performance
Rank your storefronts and find the underperformers fast.
Rating management
Catch slipping ratings before they drag down orders.
Search visibility
Track and improve where you rank in delivery-app search.
Competitor benchmarking
Compare delivery performance against rivals in each market.
Promotion ROI
Link platform promotions to ranking and visibility changes.
Franchise oversight
Give franchisors a clear delivery-channel scorecard.
This is what your team receives
Clean, validated rows scoring delivery performance per location and platform. Fields are customized to your brand — example schema below.
food_delivery_analytics_sample.csv
● LIVE SCHEMA
| Location | Platform | Rating | Reviews | Delivery ETA | Search Rank | Promo | Captured (UTC) |
|---|---|---|---|---|---|---|---|
| Austin TX-02 | DoorDash | 4.6 | 1,240 | 28 min | #3 | Free delivery | 2026-05-19 12:00 |
| Austin TX-02 | Uber Eats | 4.4 | 980 | 34 min | #9 | — | 2026-05-19 12:00 |
| Dallas TX-07 | Grubhub | 4.1 | 410 | 41 min | #15 | 20% off | 2026-05-19 12:00 |
From location list to live delivery analytics
A simple five-step path — and you talk directly to the engineers building your pipeline.
Send your scope
Share your storefronts, search terms and delivery platforms.
We configure tracking
We set up ranking, rating and delivery capture per platform.
Daily refresh
Performance signals captured on a daily schedule.
You receive data
Clean scorecards via CSV, JSON, API or dashboard.
Alerts trigger
Notifications fire on rating drops and ranking changes.
A US-focused food delivery analytics partner
We focus on US delivery platforms and US response hours — so your team gets fast pilots and delivery analytics tuned to how DoorDash, Uber Eats and Grubhub actually rank and rate restaurants.
Channel scorecards
Delivery performance turned into measurable KPIs.
Location-level data
Every storefront scored, so weak locations stand out.
Cross-platform schema
One format across all three major delivery apps.
Alert-driven
Your team is told when ratings or ranking move.
About food delivery analytics
Food delivery analytics measures how restaurants perform on delivery platforms — delivery times, ratings, search ranking, promotions and demand signals. It helps restaurant groups and food brands understand and improve their delivery-channel performance.
We cover DoorDash, Uber Eats and Grubhub as standard, and can add other US delivery platforms on request, all reporting into one consistent analytics schema.
Yes. We capture advertised delivery time estimates, restaurant ratings, review counts and rating changes over time, so you can benchmark service performance across locations and competitors.
Yes. For tracked search terms and categories we capture where a restaurant appears in delivery-app results, so brands can see and improve their delivery-channel visibility.
Delivery analytics data is commonly refreshed daily, with more frequent refresh available for ranking and promotion fields. We confirm a realistic cadence per platform before the pilot.
We deliver CSV, JSON and Parquet files, REST API endpoints, SFTP and cloud destinations, plus an optional dashboard comparing delivery performance by location and competitor.
Turn your delivery channel into measurable performance
Send us your restaurant locations and we'll return a sample delivery analytics dataset — ratings, ranking and delivery times — within 1 business day.
Often paired with delivery analytics
Restaurant Menu Intelligence
Menu items, prices and modifiers across US delivery apps.
View solution →Delivery Fee Monitoring
Delivery, service and platform fee tracking across US apps.
View solution →Review & Sentiment Analytics
Customer review and sentiment intelligence at scale.
View solution →