restaurants & qsr
See where restaurant spend really goes
Real card and bank transactions from more than 130 million US and EU consumers, resolved to every chain, banner and location. Every visit is a payment, so share of stomach is a number, not a survey. Benchmark your market. See which guests switch, and to whom. Find growth opportunities. Measure what changed after you acted.
Trial runs on the real product with real data. No credit card. Plans from $990 per month.
who this is for
Responsible for any of these topics?
Iceflower is the tool for you.
Understand what that looks like in practice: receive the answer to your question, make the move, prove it worked.
franchise & real estate
Franchise development & site selection
franchise development · real estate · franchisees
which trade areas are underserved for our banner?
- Trade area demand measured from real tickets, not traffic counts
- Existing catchments, yours and competitors’, mapped around any candidate site
- Your site shortlist, evaluated against proven spend of the right guests
chains
Marketing & insights at chains
consumer insights · brand marketing · loyalty
who is winning our guests’ share of stomach?
- Cross-visit and share of stomach against every competitor
- Guest segments and value beyond your loyalty app
- Churn destinations when guests trade down or up
challengers
Emerging & growth brands
strategy · expansion · finance
are we actually taking guests from the incumbents, and where?
- Growth split into new guests, frequency and ticket size
- Clientele fit per market before the next entry
- Share gains proven against named competitors
01 · understand
See who really wins the share of stomach
Every chain and location, benchmarked from real tickets. Not foot traffic, not surveys. The panel sees the payment, so the drive-thru, the app order and the dine-in check sit in one dataset.
decisions this step settles: who belongs in the competitive set · which leaks to fight first · which guests to defend
Pick the benchmark that matters
Who is winning: revenue, growth, ticket size and guest counts for every chain and location in your trade areas, national giant to local challenger, computed from the same panel for all of them.
Share of stomach, measured
86.7% of Chipotle Mexican Grill guests also ate at McDonald’s, at $259 per guest, in the 12 months to Jul 2026. The premium bowl and the value menu share the same stomach. The fight is over visits, and it is measurable.
Churn with a destination
Whom you are losing, and to whom: a guest who stops visiting has not stopped eating out. Iceflower names where the visits went and what the ticket is there.
Guest segments, value and catchments
Who your guests are and where they come from: Champions to At Risk with value and visit patterns, plus the catchment each location actually draws from.
Sample question we answer
“How big is fast casual in our trade areas, who gains share, and from whom?”
02 · activate
Turn the finding into the next move
The guest segment you just found is not a slide. It is an audience, a site shortlist or a market entry.
decisions this step settles: which segment gets the campaign · which trade areas get a site · which market to enter next
Put budget on the segment you found
Turn any segment into a derived audience for paid social, CRM or any other channel. All privacy-clean: no PII, no individual guest targeting. Audiences are built from geography, spending behaviour and spend-derived profiles.
Ask your market overnight
Chat with AI personas built from real spending behaviour, value seekers to lunch regulars, or field a questionnaire to your segment and read the results in the morning.
Grow where the demand is
Size restaurant demand by trade area, see where your clientele over-indexes, and put the next location where the right guests already spend.
Sample question we answer
“Which trade areas on our shortlist hold the most proven demand for us?”
03 · measure
Did it work?
The same panel that found the opportunity measures the response, continuously and against a baseline. Keep, scale or stop, on evidence.
decisions this step settles: keep, scale or stop · what a promotion really did · when to intervene
Before and after, with a control
Compare a menu launch, a price move or a remodel against matched locations or the whole category, not against last year’s weather.
Guests, not just revenue
See whether growth came from new guests, higher visit frequency or a bigger ticket, and which clientele actually responded.
Always current
The panel updates continuously, so a competitor’s value push or a shift in visit frequency shows up while it is happening, not two quarters later.
Sample question we answer
“Our value menu launched in March. Did it bring new guests or just cut the ticket?”
ai agents
Tired of dashboards? Skip ours.
Iceflower runs as a connector in Claude and ChatGPT, live and approved in both directories. Connect once and ask in plain language. The dashboard stays there for the day you want to validate a number.
which chains are gaining share in our trade areas this year?
where do our guests also eat?
which challengers grew fastest with our clientele?
which metros are growing for fast casual?
Answers grounded in real transactions, in the assistant your team already uses.
pricing
Straight prices, no surprises
Explore
Restaurants in your market, in full depth.
- For a single team
- One category in one US state, UK region or metro area
- AI / MCP agent access
- 14-day free trial
Professional
Restaurants plus the categories your guests cross-shop, nationwide.
- For your whole organization
- Everything in Explore
- Up to three categories, up to a whole country
- AI personas, chats & questionnaires
- AI reports
- 14-day free trial
Enterprise
Full access, built around you.
- For your company and its systems
- Everything in Professional
- API and data feeds
- Your own live bespoke workspace, updated continuously
- Malls & places analytics
Prices exclude taxes. Trials do not require a credit card.
faq
The questions a seasoned buyer asks first
The short version below. Please reach out in case of further questions.
- What data sits behind the restaurant view?
- Real card and bank transactions from a panel of more than 130 million US and EU consumers, resolved to named chains and individual locations. Benchmarks, share of stomach and catchments are computed from actual payments, not surveys or foot traffic.
- Are the numbers on this page real?
- Yes. Every figure was pulled from the live panel in August 2026, with its merchant and time window stated next to it. Rerun them in a trial account and you should see the same numbers, moved by as much as the market has moved since.
- Is this POS or loyalty data?
- No. Iceflower is merchant-level card and bank spend, seen from the guest’s wallet. It does not see your registers, your items or your loyalty accounts. What it adds is exactly what those cannot show: the same view of every competitor, and the guests who never joined your app.
- Can I target individual guests with this?
- No, and by design. The panel is de-identified: no PII, no guest identities. Activation works at segment level, geographies, spending behaviour and spend-derived profiles, exported as derived audiences. Individual-level outreach stays where it belongs, in your own CRM.
- Does it cover single locations, or only chains?
- Both. Every mapped location is its own entity, so a single store’s guests, catchment and growth are visible, and any set of locations can be grouped and compared, yours or a competitor’s.
- Do you see delivery platform orders?
- Orders paid through delivery platforms resolve to the platform, DoorDash or Uber Eats, while direct orders, in store, drive-thru and own app, resolve to the chain. Both sit in one dataset, so your direct channel is benchmarkable against every competitor and platform spend is measurable as its own channel.
- Can I see my own banner next to competitors?
- Yes. Your banner appears in the same benchmarks as everyone else’s, computed from the same panel, so the comparison is symmetric and needs no data sharing from your side.
- How do I start?
- Create an account and pick restaurants as your category. The 14-day trial runs on the real product with real data.
Ready to see your market clearly?
Create an account, pick restaurants, and rerun every number on this page against your own trade areas. Fourteen days is enough to know.