Pricing & Elasticity
You Raised Prices. Did It Actually Work?
“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?”
Comparing sales before and after a price increase cannot answer whether it worked, because everything else moved too: seasonality, weather, the broader market, promotions, and traffic trends that were already underway. Answering it honestly means isolating what your pricing action did from everything happening around it. That is the question Quantiiv is built to answer, and the answer looks different depending on how the increase rolled out and what data you have.
The result is a clear read your leadership team can trust: how much check growth the increase actually delivered, whether it cost you any traffic, and the net effect on the business, stated separately from what the market did on its own. If you have taken a price increase and want to know what it really produced, that is a conversation worth having.
Sound Familiar?
Before-and-after comparisons prove nothing
Sales up after an increase sounds like success, until you learn comparable brands were up more and your traffic quietly slipped. Judged against last year alone, the increase gets credit or blame for whatever the market was doing anyway.
Traffic loss shows up late and gets misattributed
Customer response to a price increase often unfolds over months as habits adjust. By the time traffic softens, the increase is old news and the decline gets blamed on weather, competition, or the economy.
No measurement means the next decision is also a guess
If nobody can say what the last increase actually did, the next pricing conversation starts from the same place as the previous one: opinions. Knowing the real result is what turns pricing into a capability that compounds.
How Quantiiv Answers It
- 1
Start from how the increase actually rolled out
The right way to read the result depends on whether every store took the increase, whether any were held back, and how much history exists. We start by understanding your situation, not by forcing your data into a fixed template.
- 2
Compare against a fair picture of what would have happened
The heart of the answer is a credible view of where the business would have been without the increase, so the result reflects your pricing action rather than the season or the market. Building that comparison well is where our experience earns its keep.
- 3
Separate your results from the market's
Industry-wide movement, up or down, is set aside so a pricing readout is never quietly inflated by a strong quarter or punished for a soft one. What is left is the part you actually drove.
- 4
Break the result into parts leadership can act on
The net effect splits into its drivers: check growth from the pricing action, any traffic response, how customers shifted around the menu, and where resistance showed up, so the read points to the next decision rather than just scoring the last one.
- 5
Make the next increase easier to measure
Every measured increase teaches us more about how your customers respond to price, so each pricing cycle starts on firmer ground than the one before.
Why Quantiiv
The right read for your situation
A clean planned test and an increase that already happened everywhere call for different approaches. We fit the answer to the data you actually have instead of pretending one recipe works for every case, and we are candid about how confident the read is.
Net of the market, stated plainly
The readout separates what you caused from what the market did and reports both. No taking credit for tailwinds, no absorbing blame for headwinds.
Frequently Asked Questions
How do you measure the impact of a restaurant price increase?
By isolating the increase from everything else that moved at the same time. That means comparing your results against a credible picture of where the business would have been without the change, then separating the part you drove from what the market did. The strength of the read depends on how the increase rolled out, which is the first thing we work through together.
Can you measure an increase we already rolled out everywhere?
Usually yes. Even without a planned holdout there are ways to reconstruct a fair comparison from your own history and stores, and we will be straight with you about how confident that read can be. It is somewhat less precise than a measurement designed in advance, which is why we recommend planning the next one so it can be measured cleanly.
How long after a price increase can you measure the impact?
A first read is typically credible a couple of months after implementation, with a fuller picture at around six months as habitual customers finish adjusting. Very short windows mostly capture initial reactions; the durable answer, especially on traffic, takes a couple of quarters to settle.
What do we get at the end?
A clear answer to whether the increase worked: the check growth it delivered, any traffic it cost, and the net effect on the business, all stated apart from what the market was doing. It is written for a leadership conversation and a decision, not as a statistics report.
Related Problems We Solve
Price Elasticity
“How much can we raise prices without losing traffic?”
Read morePricing Experimentation
“We want to try a price change at some stores first. How do we set that up so the result actually means something?”
Read moreSales Decline Diagnosis
“Comps are negative and every meeting produces a different theory. What is actually driving the decline?”
Read moreStop Fighting Your Data.
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