Pricing & Elasticity
Raise Menu Prices Without Losing Customers
“We need to take price this year. How do we do it without customers noticing or traffic falling?”
The safest way to raise menu prices is many small, targeted increases instead of one visible across-the-board move. Customers do not react to all price changes equally, and the difference is measurable in your own transaction data. Quantiiv builds pricing plans that spread your target check growth across hundreds of small item-by-store decisions, weighted toward the items and stores your demand history says can carry them and away from the changes customers actually notice.
The result is a specific, implementable price file: this item, at these stores, moves from this price to this price. It hits your target ticket comp in aggregate while no single customer-facing change is large enough to trigger a reaction.
Sound Familiar?
The annual price increase feels like a coin flip
Leadership wants 4% of check growth. Someone picks round numbers, applies them broadly, and everyone watches traffic for a month hoping nothing breaks. There is no model of what will happen, only what did.
Highly visible items keep absorbing the increases
Without item-level guidance, increases tend to land on high-volume flagship items because that is where the revenue math is easy. Those are often exactly the items customers price-check, and where increases do the most damage.
Franchisees and operators push back without evidence
A pricing recommendation without data behind it becomes a negotiation. A plan grounded in each store's own demand history is much easier to align a system around.
How Quantiiv Answers It
- 1
Start from your elasticity read
Every plan is built on item-and-store-level elasticity from your own POS history, so increases concentrate where customers have demonstrated tolerance and avoid the landmines where they have not.
- 2
Keep every individual change quiet
Individual increases are kept small and placed carefully, so the plan reaches its target through many quiet moves instead of one obvious jump that resets price perception. Exactly how each change is sized and placed is the science we bring.
- 3
Respect menu architecture and price relationships
Sizes, combos, bundles, and related products have to stay logically ordered after the change. The plan enforces price ladder rules, such as a large always costing more than a medium and combos preserving their discount logic, so the menu still makes sense after implementation.
- 4
Aggregate to your business target
You set the goal, such as a target check comp or margin recovery number. The optimizer distributes it across items, stores, and zones and shows the predicted traffic and revenue outcome before you commit to anything.
- 5
Deliver an implementation-ready price file
The output is a concrete price-change workbook by location and item, ready to load into your POS process, along with holdout stores if you want the impact measured cleanly afterward.
Why Quantiiv
Surgical, not blanket
A typical Quantiiv plan touches hundreds of individual item-store prices with small moves rather than a handful of big visible ones. Same check growth, far less perception risk.
Predicted before implemented
Every plan ships with modeled traffic and revenue outcomes so the decision is made with eyes open, and can be structured with control stores so the actual outcome is measurable afterward.
Built for multi-unit reality
Zones, franchisee constraints, item exclusions, and price ladder rules are first-class inputs, not afterthoughts. The plan you get is one your operations team can actually execute.
Frequently Asked Questions
How much can a restaurant raise prices in a year?
It depends entirely on where the increases land. Brands routinely achieve 3-5% check growth with minimal traffic impact when increases are targeted at price-tolerant items and kept below the size customers notice. The same total taken as a flat increase on visible items can produce measurable traffic loss. The ceiling is set by your menu's elasticity profile, which is measurable.
How disruptive is a pricing plan to implement?
The deliverable is designed for execution: a store-by-store, item-by-item price file that loads into your normal POS price-change process, organized so operations can review and stage it. Most brands implement within their existing menu-update cadence, and items or locations you flag as untouchable are excluded up front.
Should every location get the same price increase?
Usually not. Price sensitivity varies by store and market, and stores in the same city can support different price points. Zone-level or store-level pricing captures meaningfully more revenue than uniform pricing. If your POS and operations can support zones, the plan will use them.
How do we know the plan worked?
Design it in from the start. A plan can hold back a set of comparison stores that keep current prices, so afterward we can weigh the stores that changed against the ones that did not rather than against last year. That turns 'sales went up' into 'the pricing action added this much, net of everything else.'
What about items we cannot or will not touch?
Exclusions are normal: contractual items, value-menu anchors, LTOs, items under franchisee agreements. The optimizer treats them as constraints and redistributes the target across the rest of the menu.
Related Problems We Solve
Price Elasticity
“How much can we raise prices without losing traffic?”
Read moreZone Pricing
“Should all of our locations really charge the same prices?”
Read morePrice Impact Measurement
“We took a price increase and sales are up. How do we know the increase worked and did not just ride a good quarter, or quietly cost us traffic?”
Read moreStop Fighting Your Data.
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