Well-loved restaurants that likely do not deliver yet
Well-loved restaurants likely without delivery, with the owner.
What it does
Every week: the best-rated restaurants in your city, Jev’s view of whether each already offers delivery, the ones that likely do not first, with the owner from Apollo, into HubSpot for the onboarding team.
In one sentence: Mondays at 08:00, in Jakarta, find restaurants, shawarma restaurants and chicken restaurants in the area, keep only new ones, decide with Jev, sort them by delivers and keep the top 50, find the Owner and General Manager with Apollo, then create company in HubSpot and email the list to you.
Why it is useful
A popular restaurant that does not deliver is the best signing a delivery app can make. Jev ranks the likely ones first.
Who it is for
Food delivery & quick commerce. Delivery apps, quick commerce and courier operations signing restaurants and shops, placing dark stores and keeping riders safe and on time. Every use case for food delivery & quick commerce
Best use cases
- A food delivery app
- A delivery management SaaS
- A virtual brand company
What each run gives you
- New leads in HubSpot
The time it saves
Mondays at 08:00. Doing the same work by hand takes about 90 minutes each time; it runs about 4 times a month, so it saves about 6 hours a month (an estimate). It is medium: 9 blocks.
The flow, block by block
- Every MondayTrigger · ScheduleStarts the flow on a timetable.
- My cityWhere · Area of interestSets where the flow looks: countries, cities or specific places, or areas you draw on a map.
- Well-loved restaurantsxMap data · Nearby placesPlaces around a point from xMap’s own places database (300M+ places, refreshed every month): pick the types of place (more than 5,000, such as Restaurant, Cafe, Pharmacy, Hospital or Gas station, or a whole group of them) and how far to look.
- Only new onesLogic · Only newLets through only the items this flow has not found before, so a daily flow sends only what is new.
- Ask Jev if they already deliverxMap AI · Jev decisionAsks TypeSafe’s Jev model one typed question about each place: yes or no, pick one of your options, or a score on your levels.
- The least likely to deliver firstLogic · Sort and limitPuts the items in order, and can keep only the first ones: the 10 best rated, the 20 nearest, the highest fit scores.
- Owner from ApolloYour data · ApolloThe people to talk to at each company, and the company’s details, from your own Apollo account (apollo.io): decision makers by job title with their LinkedIn and work email; or the company’s size, industry, revenue and LinkedIn page; or a person from their email.
- Add them to HubSpotApp · HubSpotPowerful CRM that offers tools for sales, customer service, and marketing automation.
- Email me the resultsAction · EmailSends one email per run with all the items, or one email per item.
Every block can be changed after you use the template: the city, the type of place, the score, where the results go.
Use it now
Answer a few questions, enter your work email, and it runs in your own account, kept running until you pause it. Use this template.
How to set it up
- The xMap Flows browser extension: what is around this business: On a company’s website or a place on a map, one click shows its market and the AI employees to hire for it.
- Build your first flow in ten minutes: From a blank page to a flow that emails you a ranked list every morning.
- What xMap remembers about your company: Your city, industry and what you sell, filled in for you and always yours to change.
- Ask the map a question: How many of a kind of place, how many people for each, and where the gaps are, answered on the spot.
- How to build a B2B lead list from the map: Every business of a type in your territory, with contacts, scored, in a sheet or CRM.
- How to find the decision maker at each new business: Places from the map, people from your Apollo account, in one flow.
- Location intelligence: Using where things are, and what is around them, to make business decisions.
More for Food delivery & quick commerce
- Where to put the next dark store: Blocks with many people and few shops, for the next dark store.
- Rider rest hubs where restaurants cluster: Spots where restaurants cluster, for rider rest hubs.
- Campuses with the most students nearby, for promos: Campuses ranked by the students living nearby, for promos.
- Field sales routes to sign up new restaurants: New independent restaurants shared between your field reps in the best visiting order.
- Independent grocers, butchers and fruit shops for quick commerce: Independent grocers, butchers and fruit shops graded as partners.
- Office clusters for a lunch subscription: Office clusters for a lunch subscription, with the office manager.