Mapboard by industry
At this scale the question is not where the store is, it is which one has an ATM, takes the parcel and is open now.
In a market with a convenience store on every corner, your customers do not discover you: they already know where you are. What they do not know, and often your own network does not either, is which of your stores takes the utility payment, receives the parcel or can sell beer at eleven at night. In a network of hundreds or thousands of stores, 1% of wrong listings is dozens of Locations sending customers to the wrong door. And at that same scale, what gets reported about a store (a wrong charge, an incident at the register) has to reach its manager with a severity and a clock, not get forwarded by chat.
The vertical, in numbers
151,975
convenience stores in the United States alone at the end of 2025, of which 122,620 sell fuel: a channel that is enormous and highly fragmented
NACS/NIQ TDLinx Convenience Industry Store Count, 31 Dec 2025
400,000+
stores across more than 50 countries are represented by NACS retail members: convenience is a global format, and every one of those stores is a Location someone has to govern
NACS, member and industry figures
01 · What hurts in this vertical
Problems you already know.
What gets reported about a store does not reach whoever runs that store
At this scale, incidents come in every day through reviews, messages and the call center: a wrong charge, expired product, an altercation at the register. Corporate cannot resolve them and that store's manager rarely finds out in time. With no routing by area, no severity and no acknowledgement, the complaint gets forwarded by hand and the pattern per store (the same complaint three months running) is never seen.
Duplicates and ghosts that multiply with the network
At this channel's scale, each store tends to accumulate duplicate listings created by customers, former employees or the platform itself, while closed or relocated stores keep showing as open on the map. Nobody at corporate can review thousands of stores by hand. Consolidating duplicates and removing ghosts stops being a task and becomes a problem of arithmetic.
Your network grows faster than the map can keep up
This channel opens more than a thousand stores a year, and a network in expansion cannot depend on someone registering each store by hand on Google and Meta. Newly opened stores go weeks with no listing or with the pin in the wrong neighborhood, exactly when appearing correctly matters most. The pace of openings turns registration into a permanent bottleneck, not an event.
Every store offers different services, and that is almost never published
Not every store has an ATM, receives parcels, takes bill payments or sells alcohol on the same schedule. Alcohol sale hours change by municipality and by local restriction. That attribute, the one the customer is actually looking for, is the one that gets maintained least, store by store, across the whole network.
The store locator says one thing; Google and Meta say another
The store finder on the corporate site, the ERP, the POS and the external maps rarely agree, and each area or franchisee edits on their own with no shared model of who can change what. The result is a network where corporate issues a correction and genuinely does not know, for any given store, whether it published.
02 · The approach
Every store is a Location, not a listing.
The problems above are not marketing failures, and they are not SEO failures. They are symptoms of a network that stopped being able to see itself: every store is an operating unit with its own identity, state and history, not a point on a map somebody else administers. Google, Waze and Meta are mirrors; each publishes its own version of your store.
Mapboard is not another review dashboard. It is the system for running your network: it observes what each platform publishes, understands where that does not match what you declare, acts across the whole network or store by store, and verifies the change actually happened. And when what shows up is not a badly published field but a complaint, it turns it into a case with an owner, a severity and a clock, and hands it to whoever can fix it.
Observes
what each platform publishes about every store
Understands
where that does not match what your network declares
Acts
on each unit, by group or across the whole network
Verifies
that the change actually got published
A change is not done until it is verified.
03 · The product in your operation
Where your network starts.
Listing health
Audit the listings of your whole network at once: find duplicates, ghost stores already closed or relocated, suspensions and dropped verifications, without reviewing store by store by hand.
Locations
A single network with 300+ fields per store, including which store has an ATM, receives parcels, takes bill payments or sells alcohol and until what time, sitting above the ERP, the POS and the site's store finder.
Bulk publishing
Publish openings and corrections to Google and Meta with each platform's real latency declared, and with honest verification of which change published and which is still pending.
Cases and operations
Store incidents are routed by area and format to the team that can actually handle them, with a severity, a clock and automatic escalation if nobody picks them up.
Control and access
Define who can edit what across corporate, area and franchisee, and run bulk changes by spreadsheet over thousands of stores without each area overwriting the last.
Local analytics
Compare each store against its real peers by format and region with smart groups, and layer in local competitive intelligence, instead of measuring everything against a national average that means nothing at this scale.
Reviews
Classify and answer the network's reviews with AI-assisted replies your team reviews before publishing, prioritizing the stores and the topics that actually move the operation.
One network, several formats
Not every part of your network operates the same way — and its digital presence should not either.
04 · In practice
A convenience chain with thousands of stores discovered, in a listing audit, that hundreds of its stores had duplicate profiles or the pin in the wrong neighborhood, and that its store locator still listed dozens of stores that had already relocated. Consolidation was run area by area, with the team reviewing each merge before applying it.
05 · Frequently asked questions
What your team is going to ask.
At this scale, how does what gets reported about a store get routed?
With routing rules by category, severity and area: each case reaches the team that can actually handle it, and scope means an area manager sees theirs while corporate sees the whole network. Because the case is born attached to the store, it becomes visible on its own when one store piles up the same reason three months running.
How do you detect and consolidate duplicates across thousands of stores?
The listing audit walks the whole network and flags likely duplicates, ghost stores and suspensions to consolidate them against your network's canonical store. It is an assisted process: the system proposes, your team confirms before merging or removing, because at this scale a wrong merge also costs.
A store closed or relocated and still shows as open. What happens?
You mark it closed or relocated once in your network, and from there the change propagates to Google, Meta and your store locator. The platform records what each channel published and with what degree of verification, so you never get the 'we fixed it but it was still open on the map' case.
How do you reflect which store has an ATM, takes parcels or bill payments, and how are alcohol hours handled?
They are attributes per store inside the network, not loose text. You can manage them in bulk by area, format or municipality (including alcohol sale hours and local restrictions), and publish them wherever the destination platform supports it.
Who can edit what across corporate, area and franchisee, and how long does a bulk change take to publish?
Permissions define which fields corporate touches, which the area touches and which the franchisee touches, with no silent overwrites. A bulk change is prepared by spreadsheet and publishes subject to each platform's real latency (Google and Meta do not apply instantly), which the platform shows you instead of promising 'real time'.
Let's talk about your network, store by store.
Tell us how it runs today and we'll show you the platform on a demonstration network, grounded in what you describe.
