EXAMPLEIllustrative example · fictional restaurant «Sazón de Origen». Not your data: your result is built with YOUR restaurant's.See the assistant →
Sazón de OrigenFictional contemporary Colombian restaurant in Medellín, 2 locations, 6 years in business. Every sample result in the library comes from this same case.
Market and Competitive Intelligence

Sample result

Local Competition Radar Builder for Restaurants

The owner asked this:«I want to attract restaurant owners in Medellín. I've downloaded the radar folder but I don't know what I'm going to tell somebody who knows their own neighbourhood better than I do. And the directory bill scares me.»

① The start decision

Verticaltable-service and casual dining restaurants
Radius2 kilometres from the address the visitor types
Headline promise«Find out which consumption moments are free in your area»
Where the report endsa 30-minute call, not one more download

The arithmetic, in plain sight: 120 diagnoses expected in 30 dias × 1 directory query with a 7 dias cache ≈ $95,000/month of quota, plus ~$40,000/month of email sending. If a qualified owner's email is worth $25,000 in your funnel, the list of 120 is worth $3.0M and the cost is 4.5 % of that — above the house yardstick of 1.5 %, so it only pays if the radar delivers more than 90 reports a month. Below that, the problem is not the page: it is that nobody sees it.

② The dry-run diagnosis (the four cross-checks)

Cross-checkSignal it rests onMinimum to speakWhat it says otherwise
Who really competesreview count10 competitors in radius«no statistics within 2 km; widen to 4?»
Opening-hours gapshours declared per slot20 listings with hours«too many listings without hours; the gap isn't reliable»
Densitybusinesses per km² vs. other areas3 comparable areas«only your area; without comparison there's no hard or comfortable»
Abandoned listingsno photo, no site, no recent review30 reviews per listing«not enough data»

The average rating is deliberately not in this table. It is the figure you most feel like using and the one that misleads most: a 4.8 with twelve reviews and a 4.3 with eight hundred are not comparable. If the report says «your competitor is better rated» resting on twelve reviews, that is invented advice wearing the face of data.

The full example has 1 more part(s): you see them inside the library, with your account.