Most operators see the damage only when comp sales miss. By then, traffic erosion has been compounding for 8–12 weeks. Use this calculator to estimate the revenue at risk from negative customer signals already visible in your reviews.
// Your network · network totals
Enter what you already know.
Affected customers (last 12 months)across all stores
customers
Unique customers who signalled a bad experience — 1★ or 2★ reviews, post-order complaints, or escalations across all your stores.
Average order value (AOV)USD
$
Industry baseline for QSR is around $13. Use your actual figure if you know it.
Visits per month (per customer)typical loyal customer
visits / mo
A repeat QSR customer usually orders 3–5 times monthly. We default to 4.
Time horizonmonths
months
12 months is the standard view. Adjust if you're modelling a different window.
Invisible-multiplier assumption1 in 8 leave a review
1 in 61 in 71 in 81 in 91 in 10
Hidden unhappy customers behind each review× 8
Industry research suggests only 1 in 6 to 1 in 10 unhappy customers actually leaves a review. The rest leave silently — and that's the true exposure.
Live calculation
Estimated yearly revenue at risk
$127,400
across 245 affected customers — calculated from the bad-experience signals already visible to you.
Likely true exposure
$764,400 – $1.27M
Only 1 in 6–10 unhappy customers actually leaves a review. The silent majority is where the real leakage compounds.
30-min walkthrough · using your data, not a generic deck
// Why this number is conservative
The figure above is only the visible tip.
Reviews are a small sample of the real customer experience. For every reviewer who tells you something is wrong, six to ten more left silently and never came back. Three things compound this in QSR networks.
1 in 8
Customers leave a review when unhappy
Roughly 6–10 unhappy guests stay silent for every one who posts a review. The rest just stop coming.
8–12 wks
Lag before P&L catches it
By the time comp sales reflect the drift, you've already lost 2–3 months of preventable revenue per store.
$45K
Per drifting store · per year
A $1.5M store losing just 3% traffic to execution drift leaks $45K — quietly enough to miss in monthly reports.
// 30-minute working session
Want to know which of your stores is leaking this?
We'll walk through your actual store performance distribution, surface the risk signals on your weakest locations, and map a stabilization path — using your data, not a generic deck.