Built for multi-unit QSR networks

Protect revenue by catching
store issues before customers leave

Stop revenue leakage before it hits sales. StoreShield identifies stores losing customers due to operational issues and helps operators recover revenue before it impacts network performance.

storeshield.app · risk review pipeline
Live
Signal captured → 01
Maya R. ★☆☆☆☆
"Order took 38 minutes, fries were cold, missed the dipping sauce. Third time at this location."
Google · Store #048 Repeat
Anonymous · post-order ★★☆☆☆
"Wait time was way too long, staff seemed overwhelmed."
Feedback · Store #048
Store drift detected → 02
Recovery in motion → 03
Maya R. 2m ago
Recovery offer sent
$10 credit · follow-up scheduled in 7 days
$1,440 / yr LTV if recovered
Store #048 · GM 14m ago
Speed-of-service audit assigned
Due Friday · linked to 9 complaints this week
$12,960 customer LTV at stake · 9 affected
Jordan T. 2 days ago
Returned · +$42 ticket
Recovery confirmed · pattern resolved
$1,260 / yr LTV secured
// Designed alongside multi-unit QSR operators
Franchise networks · Multi-unit operators · Hybrid brands
// What's at stake

A 3% traffic erosion at one store is $45,000 a year.

We don't claim to manufacture demand. We prevent preventable demand erosion — the kind that compounds invisibly across your bottom quartile until it's too late to catch cheaply.

$450K
Network exposure across 10 bottom-quartile stores
In a 75-store brand, the bottom quartile alone represents nearly half a million in preventable erosion — and roughly $45K in EBITDA at typical QSR margins.
10 stores × $45K erosion
≈ $45K EBITDA impact / year
// Revenue leakage calculator

How much revenue are your stores quietly leaking?

Most operators see the damage only when comp sales miss. Use this to estimate what's already at risk from negative signals 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.
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 61 in 71 in 81 in 91 in 10
Hidden unhappy customers behind each review × 8
Only 1 in 6–10 unhappy customers leaves a review. The rest leave silently.
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 real leakage compounds.
// Breakdown
Affected customers245
Avg order value$13.00
Visits / month per customer4
Months in scope12
Visible revenue at risk$127,400
Formula: affected customers × AOV × visits/month × months
True exposure: visible × 6 (low) to 10 (high) — silent affected customers
You're all set!
Your report is on its way — check your inbox shortly.
30-min walkthrough · using your data, not a generic deck
// The solution

One system. Signal to recovered revenue.

StoreShield turns fragmented customer signals into tracked recovery actions — across every touchpoint, every store. Click through each stage to see how the revenue comes back.

// Get in touch

Talk to the team.

No account executives, no drip sequences — just a direct conversation about whether StoreShield fits your network.

// Start a conversation
Tell us about your network.
Message received!
We'll be in touch shortly —
usually within a few hours.
// Frequently asked

Questions operators actually ask.

Straight answers on what StoreShield does, who it's for, and how it protects comp sales across your bottom-quartile stores.

What is StoreShield?

StoreShield is a store-level risk containment platform for multi-unit QSR brands. It detects operational drift in underperforming locations early — using customer signals like reviews and complaints — and runs structured recovery before the problem shows up in comp sales.

Who is StoreShield built for?

Multi-unit QSR networks — typically franchise networks and operators running 50 to 150 stores. It's designed for operators and hybrid brands who need to protect comp sales across a distributed store base.

How does StoreShield detect store problems before they hit sales?

It captures fragmented customer signals — low-rating reviews, post-order complaints, escalations — clusters them by store, and flags locations drifting into the bottom quartile, often within two weeks rather than two to three months.

How much revenue can operational drift cost a single store?

A $1.5M store losing just 3% of traffic to execution inconsistency loses roughly $45,000 a year. Across the bottom quartile of a 75-store brand, that can approach half a million dollars in preventable revenue erosion annually.

How does StoreShield recover lost revenue?

Once a signal is captured and a store is flagged, StoreShield routes recovery actions — such as customer recovery offers and store-level audits — tracks them through to resolution, and measures recovered revenue and customer lifetime value.

Is my customer data secure?

Yes. Data is encrypted in transit and at rest, hosted on SOC 2 compliant AWS infrastructure, and never sold or shared with third parties.

How do I get started with StoreShield?

Book a 30-minute Risk Review. The team reviews your store performance distribution, flags risk signals on your weakest locations, and walks through a stabilization path — using your data, not a generic deck.

// 30-minute working session

See if your bottom-quartile stores are quietly deteriorating.

We'll review your store performance distribution, flag risk signals on your weakest locations, and walk through a stabilization path — using your data, not a generic deck.

Book a Risk Review
Live store performance review Risk signal walkthrough Stabilization opportunities No pressure
Data encrypted in transit and at rest Active
No customer data sold or shared with third parties Always
Hosted on SOC 2 compliant infrastructure (AWS) Active
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