01
POIs
Places inside matched areas, with a radius and the reason each was picked.
Every platform we list takes a location list.
For platforms
Integrations
Keep the platform you already use. find hands it the plan.
find turns competitive research into a location plan, then exports it as a file shaped for the tools your team already plans in. Or hand the whole picture to your agency.
How export works
From research to a file your platform can import
- 1ResearchSee where competitors run and who they reach.
- 2Build your POI listPick the points of interest and radius that match your audience.
- 3ExportDownload a file formatted for your platform's import, or share an agency brief.
Four data layers
Four layers, one export.
find matches a brand's audience to the places it lives, works and spends time, then exports each layer in the format a platform reads.
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02
Zip codes
Matched areas rolled up to zip codes, ranked by match score. Map areas can also go down to exact coordinates.
Map areas can also export as GeoJSON polygons.
For platforms -
03
Matched units
The screens and boards near each POI, keyed by the media owner's own unit ID and Geopath ID where one exists, so they can be matched to each platform's screen list.
For platforms -
04
The why
The audience profile and competitor activity behind every pick. Goes to agencies; platforms don't import it.
For agencies
How matching works
From audience to address.
Follow one sample brand from its audience profile to the screens and boards near the places that match it.
- 1Start with the audiencefind builds a profile for the brand: who they are and where to reach them.
- 2Grid the marketThe market is split into tiles, each tagged by who commutes, shops and earns there.
- 3Score every tileTiles that match the profile light up with a score. POIs drop in, each with the reason it was picked.
- 4Find the media, then exportBus shelters, bulletins and digital screens near each POI are matched, then exported as POIs, zip codes, matched units or an agency brief.
Illustrative example. Names, scores and places are placeholders.
Platform exports
One POI list, twelve file shapes
Each export matches what the platform's import step asks for. Open a card for the full spec.
- Platform-ready fileColumns and order match the platform's import.
- Universal filefind's standard location list, ready to attach or map.
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AdQuick
Platform-ready file- Accepts
- POIs
- Zip codes
Zip and DMA in its campaign API.
- What you can import
- POIs in the campaign planner, under the POIs step's "Import from file".
- File find exports
- adquick_pois.csv
Name,latitude,longitude Dallas Union Station,32.7757,-96.8087 American Airlines Center,32.7905,-96.8103 Deep Ellum dining district,32.7843,-96.7837
- Accepts CSV, XLS or XLSX.
- Two header sets, never mixed in one file:
Name, address, city, state, zip(AdQuick geocodes) orName, latitude, longitude. - Every row needs a name.
- Radius is set in AdQuick (0.1–50 miles, one radius per campaign), so it is not a column.
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Displayce
Platform-ready file- Accepts
- POIs
- Zip codes
- Screen IDs
Cities, zips and regions pasted.
- What you can import
- Line item targeting, Step 2: points of sale, screen ID lists, cities or zip codes.
- File find exports
- displayce_points_of_sale.txt
displayce_points_of_sale.xlsx
32.7757, -96.8087, Dallas Union Station 32.7905, -96.8103, American Airlines Center 32.7843, -96.7837, Deep Ellum dining district
- Points of sale pasted as
lat, long, name, one per line. - Or an .xlsx template: address in column 1, name in column 3.
- Screen ID lists to include or exclude.
- Cities or zip codes pasted one per line.
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Broadsign
Platform-ready file- Accepts
- POIs
- Zip codes
- Screen IDs
Location upload also takes addresses, cities and states. Screen ID CSVs start with
device_idorinternal_publisher_screen_id, the media owner's own screen ID.- What you can import
- Points of interest, location bulk uploads, and Broadsign Reach deal screen lists.
- File find exports
- broadsign_poi.csv
broadsign_device_ids.csv when screens are matched
category,name,lat,long Transit hub,Dallas Union Station,32.7757,-96.8087 Sports & entertainment,American Airlines Center,32.7905,-96.8103 Dining cluster,Deep Ellum dining district,32.7843,-96.7837
- Broadsign Platform points-of-interest upload: CSV, fixed lowercase columns in this order:
category, name, lat, long. - Location bulk upload: up to 10,000 locations, CSV with headers.
- Broadsign Reach deal screen lists: CSV whose first column is
device_id. - Radius is set in Broadsign.
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StackAdapt
Platform-ready file- Accepts
- POIs
- What you can import
- Geo radius targeting.
- File find exports
- stackadapt_geo_radius.csv
32.7757,-96.8087,0.5 32.7905,-96.8103,0.5 32.7843,-96.7837,0.5
- CSV with no header row.
- Each row is
latitude,longitude,radiusoraddress,radius. - The unit (miles or km) is chosen when the file is attached.
- One bad row rejects the whole file, so find validates every row before export.
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Vistar Media
Universal file- Accepts
- POIs
- Zip codes
- Screen IDs
Zip codes up to 2,500 per line item. Venue IDs up to 2,500.
- What you can import
- Custom POI sets, venue (screen) ID lists, and zip/postal lists.
- File find exports
- vistar_poi.csv, plus a venue ID list when screens are matched
name,latitude,longitude,radius Dallas Union Station,32.7757,-96.8087,0.5 American Airlines Center,32.7905,-96.8103,0.5 Deep Ellum dining district,32.7843,-96.7837,0.5
- Custom POI sets with a radius per POI.
- Venue (screen) ID lists, up to 2,500.
- Zip/postal lists, up to 2,500 per line item.
vistar_poi.csvcolumns: name, latitude, longitude, radius.
Column template confirmed with Vistar before release.
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Adkom
Universal file- Accepts
- Location list with the RFP
- What you can import
- Campaigns are planned through an Adkom account rep from a single RFP.
- File find exports
- A location list, CSV or XLSX
poi_id,name,…,latitude,longitude,radius,radius_unit,…,match_score poi_001,Dallas Union Station,…,32.7757,-96.8087,0.5,mi,…,94 poi_002,American Airlines Center,…,32.7905,-96.8103,0.5,mi,…,91 poi_003,Deep Ellum dining district,…,32.7843,-96.7837,0.5,mi,…,88
- No file import step: attach the location list to the RFP you send your Adkom account rep.
- The list carries every column of the universal file.
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Perion DOOH
Universal file- Accepts
- Screen IDs
Sites and screens carry the media owner's external ID.
- What you can import
- Plans with proximity zones and site or screen include/exclude lists.
- File find exports
- A screen/site list, plus the universal location file
poi_id,name,…,latitude,longitude,radius,radius_unit,…,match_score poi_001,Dallas Union Station,…,32.7757,-96.8087,0.5,mi,…,94 poi_002,American Airlines Center,…,32.7905,-96.8103,0.5,mi,…,91 poi_003,Deep Ellum dining district,…,32.7843,-96.7837,0.5,mi,…,88
- Proximity zones: the universal location file.
- Site or screen include/exclude lists: the screen/site list.
Column template confirmed with Perion before release.
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Moving Walls
Universal file- Accepts
- POIs
Proximity planning.
- What you can import
- MW Planner proximity and location planning around stores, branches and venues.
- File find exports
- The universal location file
poi_id,name,…,latitude,longitude,radius,radius_unit,…,match_score poi_001,Dallas Union Station,…,32.7757,-96.8087,0.5,mi,…,94 poi_002,American Airlines Center,…,32.7905,-96.8103,0.5,mi,…,91 poi_003,Deep Ellum dining district,…,32.7843,-96.7837,0.5,mi,…,88
- Proximity and location planning in MW Planner: the universal location file.
Column template confirmed with Moving Walls before release.
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The Trade Desk
Platform-ready file- Accepts
- POIs
- Map areas
Specific screens are set up through the seller's deal, not a file.
- What you can import
- Geofence segments: circles around POIs, or map areas as polygons.
- File find exports
- ttd_geofence.xlsx
ttd_areas.geojson
Latitude,Longitude,Radius 32.7757,-96.8087,800 32.7905,-96.8103,800 32.7843,-96.7837,800
- Preview radius in meters.
- Circles as an XLSX with columns
Latitude, Longitude, Radius. The radius unit is chosen at upload. - Leave out
Radiusto use one radius for every circle. - Map areas as GeoJSON polygons.
- Up to 10,000 circles or shapes per segment recommended; each segment must cover at least 31,400 m².
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Display & Video 360
Platform-ready file- Accepts
- POIs
- Zip codes
Screens are set up through seller deals.
- What you can import
- Proximity location lists and regional lists.
- File find exports
- dv360_proximity.txt
dv360_postal.txt
32.7757,-96.8087 32.7905,-96.8103 32.7843,-96.7837
- Proximity location lists: addresses or
lat,long, one per line. - One radius per list, minimum 1 km.
- Regional lists: postal codes such as
75202, US. - Up to 1,000 per paste and 10,000 per list.
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DOmedia
Universal file- Accepts
- POIs
- Zip codes
- Geopath IDs
Audience planning takes a CSV by ZIP, DMA or location.
- What you can import
- Map → Target Locations, "Create New List from CSV Import". Attach the list to an RFP and every proposed unit shows its closest location and distance.
- File find exports
- domedia_target_locations.csv, plus a Geopath ID list
name,address,city,state,zip,latitude,longitude,radius Dallas Union Station,400 S Houston St,Dallas,TX,75202,32.7757,-96.8087,0.5 American Airlines Center,2500 Victory Ave,Dallas,TX,75219,32.7905,-96.8103,0.5 Deep Ellum dining district,2700 Elm St,Dallas,TX,75226,32.7843,-96.7837,0.5
- Target Locations CSV: name, address, city, state, zip, latitude, longitude, radius in miles.
- Headers matched to DOmedia's in-app template.
- Geopath IDs can be pasted into a Geopath Panels list.
Header names matched to DOmedia's template before release.
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billups
Universal file- Accepts
- Location list with the RFP
- What you can import
- Plans are built in billups Discovery (filters by zip code, POI and audience), then sent to the billups team as an RFP.
- File find exports
- The universal location and zip files to share with the billups team
poi_id,name,…,latitude,longitude,radius,radius_unit,…,match_score poi_001,Dallas Union Station,…,32.7757,-96.8087,0.5,mi,…,94 poi_002,American Airlines Center,…,32.7905,-96.8103,0.5,mi,…,91 poi_003,Deep Ellum dining district,…,32.7843,-96.7837,0.5,mi,…,88
- No file import step: share the universal location and zip files with the billups team alongside the RFP.
- Zip codes: the universal zip code file.
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+ moreDon't see your platform? Every export also comes as the universal files.
The universal files
Works anywhere that takes a list.
One file for each layer a platform imports: locations, zip codes and matched units. Every export includes all three.
universal_files
Sample data| column | sample row 1 | sample row 2 | sample row 3 |
|---|---|---|---|
| poi_id | poi_001 | poi_002 | poi_003 |
| name | Dallas Union Station | American Airlines Center | Deep Ellum dining district |
| category | Transit hub | Sports & entertainment | Dining cluster |
| address | 400 S Houston St | 2500 Victory Ave | 2700 Elm St |
| city | Dallas | Dallas | Dallas |
| state | TX | TX | TX |
| zip | 75202 | 75219 | 75226 |
| country | US | US | US |
| latitude | 32.7757 | 32.7905 | 32.7843 |
| longitude | -96.8087 | -96.8103 | -96.7837 |
| radius | 0.5 | 0.5 | 0.5 |
| radius_unit | mi | mi | mi |
| reason_code | Commuters · Transit riders · Urban Core | Sports fans · Entertainment seekers · 18–34 | Diners · Young professionals · HHI $50K–$100K |
| match_score | 94 | 91 | 88 |
| zip | city | state | match_score | top_segments |
|---|---|---|---|---|
| 75202 | Dallas | TX | 94 | Commuters, Transit riders |
| 75219 | Dallas | TX | 91 | Sports fans, Young professionals |
| 75226 | Dallas | TX | 88 | Diners, Young adults |
| unit_id | geopath_id | media_owner | format | latitude | longitude | nearest_poi | distance |
|---|---|---|---|---|---|---|---|
| SMC-DAL-0412 | 30087412 | Sample Media Co. | Digital bulletin | 32.7771 | -96.8059 | poi_001 | 0.2 mi |
| SMC-DAL-0518 | 30087518 | Sample Media Co. | Bulletin | 32.7889 | -96.8131 | poi_002 | 0.3 mi |
unit_id is the media owner's own ID.
Formats CSVXLSXKMLGeoJSON
For agencies: the find agency brief
Everything the brand saw, in one file.
When a brand shares a plan, the agency gets a workbook and a one-page PDF summary: the POIs, why each was picked, and the competitive picture around it.
find_agency_brief.xlsx
Sample data| brand | Sample Beverage Co. |
|---|---|
| campaign objective | Drive impulse purchase around dining, sports and commuting |
| markets | Dallas–Fort Worth |
| flight dates | Mar 1 – Mar 28, 2027 |
| budget range | — |
| target audience | See the Audience profile tab |
| prepared by | Brand media lead |
| shared on | Nov 18, 2026 |
| notes | Prioritize POIs with competitor activity nearby. |
| Who they are | |
|---|---|
| age | 18–24, 25–34, 35–44 |
| household income | <$50K to $150K |
| life stage | Students, Young professionals, Parents |
| How they buy | |
| habits | Mass market, Frequent, Impulse |
| interests | Food & dining, Entertainment, Sports |
| Where to reach them | |
| area | Urban core, Urban, Suburban |
| on the move | Commuters, Pedestrians, Transit riders, Drivers |
| poi_id | poi_name | category | address | city | state | zip | latitude | longitude | radius | radius_unit | reason_code | match_score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| poi_001 | Dallas Union Station | Transit hub | 400 S Houston St | Dallas | TX | 75202 | 32.7757 | -96.8087 | 0.5 | mi | Commuters · Transit riders · Urban Core | 94 |
| poi_002 | American Airlines Center | Sports & entertainment | 2500 Victory Ave | Dallas | TX | 75219 | 32.7905 | -96.8103 | 0.5 | mi | Sports fans · Entertainment seekers · 18–34 | 91 |
| poi_003 | Deep Ellum dining district | Dining cluster | 2700 Elm St | Dallas | TX | 75226 | 32.7843 | -96.7837 | 0.5 | mi | Diners · Young professionals · HHI $50K–$100K | 88 |
| zip | city | state | match_score | top_segments |
|---|---|---|---|---|
| 75202 | Dallas | TX | 94 | Commuters, Transit riders |
| 75219 | Dallas | TX | 91 | Sports fans, Young professionals |
| 75226 | Dallas | TX | 88 | Diners, Young adults |
| unit_id | geopath_id | media_owner | format | latitude | longitude | nearest_poi | distance |
|---|---|---|---|---|---|---|---|
| SMC-DAL-0412 | 30087412 | Sample Media Co. | Digital bulletin | 32.7771 | -96.8059 | poi_001 | 0.2 mi |
| SMC-DAL-0518 | 30087518 | Sample Media Co. | Bulletin | 32.7889 | -96.8131 | poi_002 | 0.3 mi |
| poi_id | competitor brand | media owner | format | distance_from_poi | last_seen | creative_ref |
|---|---|---|---|---|---|---|
| poi_001 | Competitor A | Media owner A | Digital billboard | 0.4 mi | 2026-11-02 | Creative in find |
| poi_002 | Competitor B | Media owner B | Bulletin | 0.6 mi | 2026-10-21 | Creative in find |
| poi_003 | Competitor C | Media owner C | Wallscape | 0.3 mi | 2026-10-28 | Creative in find |
| file | for | columns |
|---|---|---|
| adquick_pois.csv | AdQuick | Name, latitude, longitude |
| stackadapt_geo_radius.csv | StackAdapt | latitude, longitude, radius (no header) |
| universal_locations.csv | Any location list import | All 14 location columns |
| universal_zip_codes.csv | Any zip code list import | zip, city, state, match_score, top_segments |
| universal_matched_units.csv | Any screen list import | unit_id, geopath_id, media_owner, format, latitude, longitude, nearest_poi, distance |
- One source of truthThe agency sees exactly the POIs and reasoning the brand approved.
- Ready to planPlatform files ride along in the same package.
- Shared, not forwardedSend from find as a link, or download XLSX + PDF.
Want export to a platform we don't list?
Get StartedFormats are based on each platform's public import documentation as of November 2026. Logos are trademarks of their owners; no affiliation implied.