An automated prospecting system, plugged into Uber Eats.
A reverse marketplace on Uber Eats.
1R+ creates smash burger brands that only exist on Uber Eats, and hands their preparation off to existing restaurants already equipped to cook burgers. Each partner restaurant becomes a dark kitchen, generates additional revenue without investment, and 1R+ takes a commission on the proceeds.
Expansion capped by the founder's time.
Before Cyrano, partner acquisition was done by hand. Romaric, the founder, would scroll Uber Eats city by city, identify restaurants that matched the profile, hunt down their emails one by one, and send them out individually.
It worked. But it ate 100 % of his time, and the pace of opening new cities was capped by the hours he could devote to it. To shift from artisanal to industrial expansion, he needed a system that would handle sourcing and outreach for him, without losing the precision of manual triage.
One campaign. Surgical criteria.
Surgical, city-by-city segmentation
We replaced manual scrolling with a structured Uber Eats scrape. For every city opened, we pull every restaurant, then filter on three hard axes: relevant categories (smash burger, gourmet burger…), minimum rating (execution quality), proximity to the city centre (viable catchment area for 1R+). No intent signal: the power comes from targeting so precise that, by construction, only legitimate prospects remain.
Dear restaurant owner,
I noticed on Uber Eats that your [Flagship burger] was doing pretty well in [City] — proof that you've already mastered burgers and home delivery.
At 1R+, we've built smash burger brands sold exclusively on Uber Eats, that you cook with your existing equipment.
Our brands generate on average €10,000 in additional monthly revenue for our partner restaurants, with no upfront investment or commitment on your side.
Can I walk you through how we work?
25 cities prospected.
Two takeaways.
Sharp targeting doesn't need an intent signal.
One campaign, no trigger, but segmentation criteria so hard (category + rating + zone) that only legitimate targets remain. 5 % positive replies on pure cold, with no signal: that's what surgical filtering delivers.
One well-chosen data point is enough to turn a cold email into a conversation.
The name of their flagship burger. Nothing else. A public, scrapable data point, readable in two seconds, enough to prove we're not sending the same email to 2,500 restaurants. Personalisation isn't measured by the number of variables, but by picking the right one.