Blog
Insights to help your restaurant win on delivery apps
How to Track Restaurant Rankings in Delivery Apps by Location and Time
Learn how to track restaurant rankings by customer location, time, platform and discovery surface, then turn persistent visibility changes into focused action.
How to Track Competitor Restaurant Promotions Across Delivery Apps
Track restaurant promotions by mechanic, eligibility, store, platform, customer state, placement and observation time without overclaiming campaign impact.

How to Evaluate Restaurant Pricing Intelligence Software: A Buyer’s Checklist
A practical checklist for testing restaurant pricing software across coverage, product matching, history, evidence, workflow, governance and proof-of-value.

How Delivery Platforms Can Find Merchant Coverage Gaps by City and Category
A practical guide for delivery platforms to measure merchant coverage by city, category, location and time, then prioritise supply that adds useful customer choice.

Menu Price Consistency Across Delivery Apps: Strategy or Listing Drift?
Learn how QSR teams can verify same-SKU price differences across delivery apps and separate approved pricing strategy from unexplained listing drift for review.

How to Monitor Restaurant Competitor Menu Price Changes
Build a reliable competitor menu-price history with stable observation panels, clear event definitions, confirmation rules and clearly visible denominators.

Dine-In vs Pickup vs Delivery Prices: How to Measure Channel Markups
Measure dine-in, pickup and delivery markups with matched items, restaurants, times and customer conditions while keeping fees and promotions separate.

How to Compare Delivery Fees Across Apps, Cities and Customer Types
Learn how to compare delivery and service fees using matched baskets, locations, customer states and time periods, without letting one checkout distort the result.

Restaurant White Space Analysis: How to Find Delivery Coverage Gaps Before Opening a New Site
Restaurant white-space analysis combines delivery demand, competitor coverage and cannibalisation risk to show where a new site could add useful reach.

What Is Restaurant Delivery Analytics? Pricing, Coverage and Visibility Explained
Restaurant delivery analytics connects pricing, delivery coverage and in-app visibility, helping QSR and platform teams find local gaps behind the average.

How McDonald’s Delivery Prices Vary Across France: One Burger, 146 Price Points
Getplace reported 146 distinct prices for one McDonald’s burger across 1,629 restaurants listed on Deliveroo in France, from €14.40 to €26.10 across the sample.

Know where a new restaurant will deliver — before it opens
We predicted the delivery catchment of every McDonald's in Manchester from addresses alone, then compared it with the real Deliveroo map. The zones matched 90% — store by store.

McDonald’s UK Menu Price Changes in 2026: Three Products, Three Pricing Patterns
Getplace data shows how McDonald’s UK repriced a Big Mac Meal, Double Burger Deal and Coca-Cola between April and July 2026, revealing three distinct pricing patterns.

Menu and Price Comparison at Scale: A Guide for Multi-Location Brands and Delivery Platforms
Comparing menus and prices across thousands of stores, cities, and delivery apps is hard to do by hand. Here's why it matters and how to do it at scale.

Cannibalization in Delivery Apps: What It Is and How to Measure It
Cannibalization in delivery apps is when new stores, extra platforms, or promotions shift existing orders instead of growing them. Learn how to spot and measure it.

Dynamic Pricing Strategy in Restaurants: Why QSR Delivery Pricing Varies 72% Store to Store
Real-time delivery pricing data reveals QSR products have 23+ price tiers by location. Learn what drives variation beyond regional differences.

Delivery App Competitive Intelligence: Why Your Reviews Need Market Context to Mean Anything
Learn why tracking only your own delivery reviews isn't enough. Discover how competitive benchmarking reveals market shifts, hidden problems, and real performance wins.

How QSR Location Intelligence Data Reveals the Real Growth Strategy Behind Ghost Kitchen Expansion
QSR location intelligence data shows that restaurant chains follow a predictable expansion pattern: they enter new markets through low-cost delivery-only ghost kitchens, validate demand with real operational data, then pivot to physical restaurants once the numbers prove the market works. Wingstop UK is a textbook case.

Why Less is More: How Wingstop Outperforms KFC with 8x Fewer Delivery Zones
It's one of those findings that makes you do a double-take.

London Food Delivery Market 2025: Where Demand Outpaces Supply (And Where to Open Next)
What if I told you that two cuisines with nearly identical restaurant counts in London generate wildly different returns per location? That's exactly what our recent analysis revealed—and it's reshaping how smart operators think about where to open next.