Buying outlet data versus building it in-house
Building your own outlet database looks simple: export the map listings for your territory and load them into the CRM. The list is the easy part. Turning it into one record per venue, with chains detected, menus read and delivery storefronts matched, and then keeping it current while the market moves, is where in-house builds stall. This page sets out the six jobs a build has to do, where building wins, and where buying lets your team start tomorrow on 20M+ venues in 60+ countries.
The trusted intelligence layer for teams selling to Hospitality & Retail
Where you can win by buying, and by building
The decision is not about owning data; it is about where your team's time goes.
- Buying wins on time to value. Off-the-shelf records mean a planner can split territories and a rep can work a scored list tomorrow, with no implementation project.
- Buying wins on breadth. Check that a provider covers your target countries, channels and apps. Dashmote tracks 20M+ venues in 60+ countries; coverage and available fields vary by market.
- Buying wins on upkeep. The market moves every week; Dashmote saw 200,000+ outlets for the first time in the 90 days to October 2026. A provider absorbs that work.
- Building wins on control. Your own segmentation, your own scoring rules and fields no provider holds, such as your contract terms or your distributor's delivery days.
You can buy the records and build your own segmentation and scoring on top.
The six jobs an in-house build has to do
Each of these is a project in its own right, and each needs maintaining once it works.
- Find outlets in the target scope. Pull map listings for every territory and channel, in every country you sell in, and keep pulling them.
- Make one record per venue. The same bar appears under different names and addresses across sources; merging them without losing real venues is the hardest part.
- Detect chains and operators. Group locations that belong to one brand or one operator, so key accounts and independents are told apart. Dashmote detects 25,000+ restaurant chains.
- Read the menus. Find each menu, read the items and brands on it, and keep the reading current. Dashmote has read 5M+ menus.
- Match delivery storefronts. Match listings to physical outlets where reliable evidence exists, and keep the rest for review. Dashmote covers 100+ platforms, refreshed monthly.
- Keep it current. New openings, moves, renames and menu changes, every month, in every market. Dashmote outlet records are updated monthly.
A list that does only job 1 is a directory: it tells reps where outlets are, not which ones to visit or what to say when they get there.
Side by side: Dashmote and an in-house build
Dashmote facts as of October 2026. The in-house column describes what a build has to provide, not any one team's result.
| Criterion | Dashmote | In-house build |
|---|---|---|
| Coverage | Dashmote20M+ venues in 60+ countries, 5 channels | In-house buildThe territories and channels your team builds and maintains |
| Venue matching | DashmoteRecords consolidated before delivery; validate match quality in your sample | In-house buildYour matching rules, tested and maintained by your team |
| Chains and operators | Dashmote25,000+ chains detected | In-house buildA grouping you build and keep current |
| Menus and brands on them | Dashmote5M+ menus | In-house buildSoftware to read every source, in every language |
| Delivery apps | Dashmote100+ platforms, storefronts matched to outlets where a reliable match is available, refreshed monthly | In-house buildSoftware to read every app and link it to outlets, country by country |
| Social profiles | DashmoteInstagram, TikTok and YouTube on the record | In-house buildSoftware for every platform |
| Scoring | DashmoteAI score from 0 to 100 against the account you describe in plain words | In-house buildRules your analysts write and tune |
| Into your CRM | DashmoteCSV export or API, with CRM matching that marks current accounts | In-house buildYour own load and matching |
| Time to first list | DashmoteOff the shelf: a test territory tomorrow | In-house buildAfter the build is designed, staffed and tested |
| Control over fields | DashmoteFixed fields, plus your own scoring and segmentation on top | In-house buildFull |
When building makes sense
Building is the right call in a few cases, and it is better to know them up front.
- No provider covers your market or channel. If the outlets you sell into have no public footprint, nobody can sell you their records.
- The fields you need are yours alone. Contract terms, distributor routes and your own sales history live in your systems; keep them there and join them to bought records.
- You already run a data team for this. If engineers and analysts already maintain outlet data for you, compare the cost of their time with a licence, line by line.
- A one-off count. A single snapshot of one city for one decision may not need a subscription; it will be out of date by the next quarter.
A hybrid approach you can use
Buy the records, build the edge. A setup that keeps control where it matters:
- Bought: the outlet record, menus and brands, chains, delivery storefronts and social profiles, kept current by the provider.
- Matched: your CRM accounts joined to those records through CRM account matching, so current accounts and white space are marked.
- Yours: the segmentation, tiers and targets your team defines, applied on top. Describe your ideal account in plain words and the AI scores each covered outlet against it.
- Delivered: by CSV export or API into the CRM or field-sales app your reps already use. See outlet data for your field-sales app.
For the other options next to buying and building, see outlet data options compared.
Frequently asked questions
Should we build our own restaurant and bar database or buy one?
Buy the records unless no provider covers your markets or channels, and build what is unique to you on top: segmentation, tiers and your own sales history. An in-house build has to find outlets in its target scope, merge duplicates, detect chains, read menus, match delivery storefronts and keep all of it current, every month.
Can't we just export map listings into our CRM?
You can, and it gives you a directory: names and addresses. It does not give one record per venue, chains and operators, what each outlet serves, delivery listings or a ranking of which outlets fit. Those are the parts that tell a rep which door to knock on and what to say.
What does an in-house outlet database cost to maintain?
The cost is mainly people: engineers to keep the data flowing and analysts to keep it right, every month, in every country. Compare that time with a licence priced by scope. Our business case template helps put both on one page.
How fast can we start if we buy?
With off-the-shelf data, a planner can work a test territory without waiting for a build: the records, menus, delivery storefronts and AI scores already exist. There is no implementation project; data reaches your CRM by CSV export or API.
Can we keep our own scoring if we buy outlet data?
Yes. Bought records carry the facts; your segmentation, tiers and targets sit on top. With Dashmote you can also describe your ideal account in plain words and get an AI score from 0 to 100 for each covered outlet.
Do bought records include delivery apps?
With Dashmote, yes: 15M+ delivery storefronts on 100+ platforms in 60+ countries, refreshed monthly, with links to physical outlet records where a reliable match is available; matching is not complete across all storefronts.
Related reading
For the person signing off
Set the two paths against each other on three lines.
- Time to first value. A test territory tomorrow, against the time a build needs before reps see a list.
- Total cost, not licence cost. The build's engineers, analysts and upkeep, every month, against a licence priced by scope.
- What your team spends its time on. Selling and segmenting, or maintaining a database.