The volume is at the pump.
The margin is inside.
A customer who only ever buys fuel can be a large number in the accounts and close to nothing in profit. aiRA reads the warehouse you already have, answers in plain language with the reasoning shown, and hands back the segment or the journey already built.
The shape of it
Two minutes, twice a week, every week.
Four things about forecourt data that make a generic analytics answer the wrong answer.
Frequency
The highest in retail, attached to the smallest baskets in retail. Several visits a week, a couple of items each, and the whole decision made in under two minutes.
Margin
Fuel moves the volume and the shop makes the money. Ranking customers by spend puts the least profitable ones at the top, which is why fuel volume is a misleading loyalty metric.
Seasonality
The clock matters more than the calendar. Morning coffee, lunch, the evening top-up and the weekend trip are four different businesses running through one site.
What the data misses
The link between the pump and the till. Fuel-only transactions are often anonymous, so the same person can appear as a loyal member inside the shop and a stranger on the forecourt.
The questions
Asked in convenience and fuel.
Five real shapes of ask in this category's vocabulary. Each comes back answered, with the reasoning shown and the move built, waiting on approval.
Which sites under-performed the national coffee promotion, and what do they have in common?
Ad hoc analytics
What is a fuel-only customer worth against one who also shops inside?
Advanced analytics
Which members have dropped from four visits a week to one?
Predictive models
Find the members who buy fuel every week and have never bought anything inside.
Audience builder
Draft the offer that gets the fuel-only group through the door, and show me the margin first.
Journey orchestration
What it runs here
Fifteen things aiRA runs on forecourt data.
In the order you would actually use them, with what each one gives back.
01
Analyse
See what is happening, and why.
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RCA Deep Dive
The real reasons fill-ups or shop visits changed, site by site.
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Attach-rate Analysis
Which drivers also come inside, at which hour, and which never do.
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Fleet Profiling
The volume and the value behind each fleet account.
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Fraud Detection
Spots unusual pump and points activity before it compounds.
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Data Quality Review
Cleans pump, app and card data so the three agree on one customer.
02
Decide
Pick the offer and the audience.
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Campaign Strategy
Picks the drivers and the fill incentive that works, with the reasoning shown.
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Fill-frequency Reward
Earn per litre or per visit, modelled before it is set.
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Fuel-grade Upsell
Incentives built to move a driver up a grade.
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C-store Attach Offer
Bundles the fill with what is inside, priced on real margin.
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Fleet Tiering
Bigger rewards for bigger accounts, sized against what each one actually burns.
03
Act
Launch it. You approve before it goes live.
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Promotions
Earn rules and app or card auto-earn, ready to approve.
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Location Targeting
Offers by station and by route rather than nationally.
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Fleet Loyalty
B2B rewards, and the accounts worth aiming them at.
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Campaigns
One message across every channel a driver uses.
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Win-back Journey
A flow that triggers when the fill-ups stop.
The working session
Bring the question your forecourt team is still waiting on.
Forty-five minutes, one real question, your business context, down to what counts as an active member. You leave with the answer and the move built, or you leave knowing aiRA is not the fit. Both are useful.