Each template is a real flow on live data. Open it, change the city and the kind of place, test it and deploy it. Grouped by what the team wants to do.
Find customers and leads 4 templates
See them in the template gallery
New businesses scored as advertisers, with the owner, every weekday.
Every weekday: businesses that opened in your coverage area in the last 30 days, scored by xMap AI as advertisers for local radio and print, with the owner from Apollo, into HubSpot for the sales team. A new business needs to be known fast and has a launch budget. Being the first media seller at the door wins the campaign.
- Good for
- A local radio station’s sales team · A newspaper’s ad sales · A digital city guide
- Each run gives
- New leads in HubSpot
- Time saved
- About 21 hours a month (an estimate)
Independent bookshops and libraries with their buyers, every quarter.
Every quarter: independent bookshops and public libraries in your country’s main cities, the new ones only, with the owner or buyer from Apollo, into HubSpot for the distribution team. Independent bookshops and libraries choose books themselves. Reaching the buyer directly gets your titles on their shelves.
- Good for
- A publishing house · A book distributor · An educational publisher
- Each run gives
- New leads in HubSpot
- Time saved
- About 2 hours a month (an estimate)
Cinemas in your region, chain or independent, with the programmer.
Every quarter: movie theaters in your region, the new ones only, grouped by chain or independent, with the programming manager from Apollo, for the film distributor’s bookings team. Getting a film on screens means knowing who programmes each cinema. The list stays current as new cinemas open.
- Good for
- A film distributor · A festival booking films · An ad agency selling cinema ads
- Each run gives
- New leads in HubSpot
- Time saved
- About 1 hours a month (an estimate)
Brands opening many branches, with a sponsorship angle each.
Every month: brands that opened several new branches in your country in the last six months, one per brand, with their marketing director from Apollo and a sponsorship angle by xMap AI, for the broadcaster’s sponsorship team. A brand opening branches needs reach in new cities. That is the moment to offer a sponsorship that fits.
- Good for
- A broadcaster’s sponsorship team · A sports league selling partnerships · An events company
- Each run gives
- New leads in HubSpot
- Time saved
- About 2 hours a month (an estimate)
Operations and alerts 6 templates
See them in the template gallery
A ready-to-read traffic bulletin every 30 minutes in the rush hours.
Every 30 minutes in the rush hours: road closures, roadworks and incidents across your city, turned by xMap AI into a 20-second traffic bulletin the presenter can read, posted to the newsroom channel. Producers spend the morning stitching traffic updates by hand. This flow writes the bulletin from live incidents, so the presenter only has to read it.
- Good for
- A radio station’s traffic desk · A TV breakfast show · A city transport channel
- Each run gives
- A Slack post every 30 minutes
- Time saved
- About 40 hours a month (an estimate)
A 40-second weather script for every region, every morning.
Every day at 5:00: the forecast for each city of your coverage area, written by xMap AI as a 40-second weather script for radio and TV, with a note on anything unusual, saved to Google Drive and emailed to the presenters. The weather slot airs every day and someone writes it at dawn. This flow writes it from the forecast, city by city, and flags anything unusual.
- Good for
- A regional radio network · A TV news programme · A news website’s weather page
- Each run gives
- A script in Google Drive · An email
- Time saved
- About 10 hours a month (an estimate)
Ships entering the port each hour, each in one newsy line.
Every hour: cargo and passenger ships entering your port area (live AIS), each described by xMap AI in one newsy line (what it is, where it is from, where it is going), posted to the business desk channel. Trade stories start at the port. The desk sees what arrives as it arrives, with a line it can use.
- Good for
- A business newsroom · A shipping trade magazine · A port city’s news site
- Each run gives
- A Slack post every hour
- Time saved
- About 40 hours a month (an estimate)
Newsstands near every station, for the magazine route list.
Every month: newsstands and convenience stores within 300 m of each train and bus station in your city, checked for whether they are still open, for the magazine distributor’s route list. Magazines sell where people wait. A current list of shops near every station keeps the routes efficient.
- Good for
- A magazine distributor · A newspaper’s circulation team · A snack brand selling at stations
- Each run gives
- A Google Sheet · A map
- Time saved
- About 1 hours a month (an estimate)
Where the heaviest rain is coming, hour by hour, for the live desk.
Every hour on rainy days: the hour-by-hour rain forecast for your city’s districts, the ones expecting the most rain first, sent to the live desk on WhatsApp so crews can be ready. Crews in the right place get the pictures and keep people informed. The desk knows where the rain will hit before it does.
- Good for
- A TV live news desk · A radio newsroom · A public broadcaster in monsoon season
- Each run gives
- A WhatsApp message
- Time saved
- About 40 hours a month (an estimate)
Where it will be hottest this week, with three story pitches.
Every morning in summer: the cities in your region expecting the hottest days this week, with the highest temperatures, turned by xMap AI into three story pitches for the morning editorial meeting. Heatwaves are a story every summer. Editors get the facts and three angles before the morning meeting.
- Good for
- A national newsroom · A weather channel · A health desk
- Each run gives
- An email with pitches
- Time saved
- About 15 hours a month (an estimate)
Market data and research 11 templates
See them in the template gallery
A draft "new in town" column every Thursday, from what opened this week.
Every Thursday: restaurants, cafes and shops that opened in your city this week, the best-rated first, written up by xMap AI as a draft for the weekly "new in town" column, saved to Google Drive for the editor. Readers love to know what opened near them. The column almost writes itself when the list of new places arrives with a first draft.
- Good for
- A local newspaper · A city magazine · A neighbourhood newsletter
- Each run gives
- A draft in Google Drive
- Time saved
- About 8 hours a month (an estimate)
Every clear satellite picture of a site you follow, monthly, with notes.
Every month: every clear satellite picture of a site you are following (a stadium, a new district) in the last 30 days, with a note by xMap AI on what changed, emailed to the reporter. Big projects are slow and their progress is easy to miss. Pictures from above show what changed, ready for a follow-up story.
- Good for
- An investigations desk · A construction trade paper · A city affairs reporter
- Each run gives
- An email with the pictures
- Time saved
- About 1 hours a month (an estimate)
A monthly jobs data story, sector by sector.
On the 1st of the month: job postings in your city, sorted by xMap AI into sectors, with the numbers and the biggest hirers, written as a short data story for the economy page. Official jobs numbers come late. Job postings show who is hiring now, and the story is ready on the 1st.
- Good for
- An economy desk · A business magazine · A city development agency’s blog
- Each run gives
- An email with the story
- Time saved
- About 2 hours a month (an estimate)
New venues for the events listings, in a sheet every month.
Every month: concert halls, live music venues, galleries and event venues that opened or appeared in your city, with phone and website, added to the listings team’s Google Sheet. An events guide is only as good as its list of venues. New venues are added the month they appear.
- Good for
- An events listings site · A city magazine · A ticketing platform
- Each run gives
- A Google Sheet
- Time saved
- About 1 hours a month (an estimate)
Young, well-loved restaurants worth reviewing, every month.
On the 1st of the month: restaurants that opened in the last six months in your city, rated 4.5 or better by enough people, the 10 most talked about first, for the food critic’s list. Critics want places that are new and talked about. This list finds them before everyone else has written about them.
- Good for
- A food critic · A food magazine · A restaurant guide
- Each run gives
- An email with the shortlist
- Time saved
- About 1 hours a month (an estimate)
Where children live far from a school, as a ready data story.
Every year before school starts: how many children live in each part of your city and how many schools are within 2 km, with the most crowded areas written up by xMap AI as a data story, emailed and mapped. School places are a story every year. This flow does the counting so the reporter can do the interviews.
- Good for
- An education reporter · A data journalism team · A parents’ publication
- Each run gives
- A map · An email with the draft
- Time saved
- About 4 hours a month (an estimate)
Local experts and founders with an episode idea for each.
Every month: the best-rated clinics, law firms and independent businesses in your city, their founders or lead experts from Apollo, and a one-line episode idea by xMap AI, for the podcast producer. Good guests are the hardest part of a local podcast. A monthly list of respected local experts, with an idea each, fills the calendar.
- Good for
- A podcast producer · A radio talk show · A business magazine’s interviews
- Each run gives
- A Google Sheet
- Time saved
- About 1 hours a month (an estimate)
A weekend guide draft every Thursday, with indoor picks when rain is due.
Every Thursday: museums, galleries, concert halls and parks in your city, the best rated first, with the weekend forecast at each, written up by xMap AI as a weekend guide (indoor picks first when rain is due), saved to Google Drive and emailed to the editor. Weekend guides are read most on Friday. A draft that already knows the forecast saves the desk a morning.
- Good for
- A city news site · A lifestyle magazine · A local radio station’s website
- Each run gives
- A document in Google Drive · An email
- Time saved
- About 8 hours a month (an estimate)
Chain stores that closed this month, for the high street story.
Every month: the chain stores and restaurants in your city’s high streets that closed since last month, with what the space was, for the retail reporter’s high street story. Empty shops tell the story of a high street. This flow counts them every month so the reporter starts with the facts.
- Good for
- A retail reporter · A business newspaper · A city centre partnership
- Each run gives
- An email
- Time saved
- About 2 hours a month (an estimate)
Who lives in your coverage area, ready for the sales deck.
Every quarter: the people living in your station’s coverage area (men, women, ages), block by block, summed up by xMap AI as an audience profile for the advertising sales deck, emailed. Advertisers buy audiences. A clear profile of the people in your area, block by block, makes every pitch stronger.
- Good for
- A radio station’s sales team · A regional TV channel · A community newspaper
- Each run gives
- An email with the profile
- Time saved
- About 2 hours a month (an estimate)
Roads, weather and new places in one morning newsletter draft.
Every weekday at 6:00: three things in one newsletter draft: road closures today, the weather, and places that opened this week, joined by xMap AI into a short morning newsletter and sent from your Gmail to the editor. Morning newsletters are read but take an hour to make. Three live sources joined into a draft cut that to a quick edit.
- Good for
- A local news site’s newsletter · A city app’s morning brief · A community radio’s website
- Each run gives
- A draft from your Gmail
- Time saved
- About 22 hours a month (an estimate)