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How much revenue are your stores quietly leaking?

Run the numbers. See where your stores are slipping.

// 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 horizon months
months
12 months is the standard view. Adjust if you're modelling a different window.
Invisible-multiplier assumption 1 in 8 leave a review
1 in 6 1 in 7 1 in 8 1 in 9 1 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.
// Breakdown
Affected customers 245
Avg order value $13.00
Visits / month per customer 4
Months in scope 12
Visible revenue at risk $127,400
Formula: affected customers × AOV × visits/month × months
True exposure: visible × 6 (low) to 10 (high) — silent affected customers
✓
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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.
StoreShield

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"The biggest shift was knowing which customer signals actually mattered. Instead of finding out after sales declined, we could identify customers at risk, recover them early, and measure the revenue we brought back."

J.K. · COO, Buster's Pizza and Donairs
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  • You'll talk to our team directly, not a sales rep
  • We review your brand's public signals before the call
  • Leave with a clear picture of your revenue risk
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Prefer email? martin@getstoreshield.com