Office towers for window and facade cleaning
The biggest office buildings scored for window and facade cleaning.
What it does
Every quarter: corporate offices and business centres in your city, the most reviewed first (the biggest buildings), scored by xMap AI as window cleaning clients, with the facility manager from Apollo.
In one sentence: Monthly on the 1st at 08:00, in Hong Kong, find corporate offices and business centers in the area, sort them by reviews and keep the top 60, score and rank them with xMap AI, keep those where fit score ≥ 60, find the Facility Manager and Building Manager with Apollo, then create contact in HubSpot and email the list to you.
Why it is useful
Tall office buildings need specialist window cleaning on contract. The biggest ones are worth the most.
Who it is for
Home services & trades. Cleaning, plumbing, electrical, pest control, moving and repair businesses filling their vans, winning contracts and planning around the weather. Every use case for home services & trades
Best use cases
- A window cleaning company
- A facade maintenance firm
- A facilities services group
What each run gives you
- New leads in HubSpot
The time it saves
Monthly on the 1st at 08:00. Doing the same work by hand takes about 60 minutes each time, so it saves about 4 hours a month (an estimate). It is medium: 9 blocks.
The flow, block by block
- On the 1st of every monthTrigger · 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.
- Office buildingsxMap 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.
- Best 60 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.
- Score each one with xMap AIxMap AI · xMap LLMTell the AI what to do in plain words.
- Fit score ≥ 60Logic · FilterKeeps only the items that match a rule.
- Facility manager 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
- Build your first flow in ten minutes: From a blank page to a flow that emails you a ranked list every morning.
- Write to people with Outreach: A first message and follow-ups to each result, approved first, stopping when they reply.
- 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.
- What xMap remembers about your company: Your city, industry and what you sell, filled in for you and always yours to change.
- 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.
- Location intelligence: Using where things are, and what is around them, to make business decisions.
- Site selection: Choosing where to open a store, branch, clinic or facility.
More for Home services & trades
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- New apartment buildings for cleaning contracts: New apartment buildings with the property manager, for cleaning contracts.
- Busy restaurant kitchens for deep cleaning: The busiest kitchens graded for deep cleaning, to the sales team.
- Franchise territories by households: Your city split into franchise territories with similar populations.
- Hotels and apartment complexes for pool cleaning: Hotels and apartment complexes scored as pool cleaning clients.