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Most pricing still leans on history and a few simple rules. That breaks when:
Factori gives you external datasets that explain where and when you can move price, so you can:
Align base prices with local demand, income, and competition instead of a single national grid.
Decide which markets really need deep discounts and which can carry lighter offers.
Use events and mobility patterns to adjust prices or offers around surges.
Build simple, defensible rules for how prices differ by city, ZIP, or trade area.
Shift from “one‑size‑fits‑all” to a set of simple price bands that reflect the real world.
You keep your pricing engine and rules. Factori adds the outside‑in picture.
You choose which signals matter for your business. We make them easy to compare across locations and markets.
Group stores, hotels, or routes into clusters based on real demand, competition, and income, then set simple price bands per cluster.
Use Retail Sales, Market, and Events to decide where to run deeper discounts and where lighter promotions are enough.
Combine Events and Mobility to adjust prices or offers during large local demand spikes—concerts, sports, festivals, holidays.
Pick test markets based on similar external profiles, so you can read results and roll out learnings more safely.
When you change prices, point to clear external drivers rather than “because the model said so.”
In which cities or ZIPs can we safely increase prices without hurting volume?
Where should we run the deepest promotions during this campaign—or not at all?
Which stores or routes should get “event pricing” during big local events?
How should prices differ between these two locations that look similar on sales, but not on income or competition?
How should we treat markets where demand is strong but local economics are weakening?
Pricing, revenue management, and commercial teams Group stores, hotels, or routes into clusters based on real demand, competition, and income, then set simple price bands per cluster.
Category and merchandising teams Use Retail Sales, Market, and Events to decide where to run deeper discounts and where lighter promotions are enough.
Growth and marketing teams running promos and offers Combine Events and Mobility to adjust prices or offers during large local demand spikes, concerts, sports, festivals and holidays.
Data & analytics teams building and maintaining pricing models Pick test markets based on similar external profiles, so you can read results and roll out learnings more safely.
Finance & FP&A teams responsible for margin and revenue When you change prices, point to clear external drivers rather than “because the model said so.”
Everyday pricing, promos, markdowns, or event‑based adjustments in a specific region or line of business.
For example: People + Economic + Retail Sales for base pricing, or Mobility + Events + Market for peak and promo pricing.
Compare “current pricing” vs. “pricing with Factori data” on a small set of locations or markets, and review impact on volume, revenue, and margin.
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