RetailGuard

The platform, at network scale

Ten investor-grade dashboards showing RetailGuard not as one shop's tool, but as a multi-store SaaS with a data moat, recurring revenue, and compounding value across a network of forecourts.

All figures are illustrative, shown to demonstrate the product at scale. Same dark brand as the live app.

Network command center
01
The flagship. Every store on one screen: 240 live, €1.24M recovered a year, ranked by group.
Recurring revenue
02
The growth story. ARR hockey-stick, net revenue retention 118%, logo churn 1.4%.
Benchmark moat
03
The defensibility. Your store vs 240 shops of anonymised data, the network effect nobody else has.
Margin recovered
04
The value created. €1.24M surfaced across the network that would otherwise have leaked.
Rollout pipeline
05
The go-to-market. Prospect to onboarding to live, 12 stores a month, 9 days to first saving.
Margin forecast
06
The intelligence. Projected network margin next quarter, with a confidence cone and a watchlist.
Unit economics
07
The efficiency. 16x LTV to CAC, 4.6 month payback, 92% gross margin.
Engagement
08
The stickiness. 14,820 questions a month, 92% weekly active stores.
Cohort retention
09
The retention. Stores stay and spend more; net retention 118%, gross 96%.
Live impact
10
The proof, live. Money found today across 240 stores, a real-time feed of leaks caught.