Positioning

Metrica is real-time foot-traffic analytics for retail that runs computer vision on the cameras a store already owns — no new sensors, privacy-safe, sold Tunisia/MENA-first.

The wedge — existing cameras vs. dedicated sensors

The market splits on one line: reuse existing CCTV vs. ship proprietary hardware.

• Sensor players (Xovis, V-Count, RetailNext, ShopperTrak) require dedicated 3D counters. That means hardware cost, install time, and integrator overhead per store.
• Existing-camera players (Aura Vision, Camlytics, Videoloft) run CV on the CCTV that’s already mounted. Lower cost, faster to stand up.

Metrica lives firmly in the existing-camera camp — that is the cost-and-speed advantage we attack the sensor incumbents with.

The corner nobody serves well

On the two axes that decide this market — deployment model (existing camera ↔ dedicated sensor) and buyer (SMB/independent ↔ multi-store enterprise) — Metrica claims existing-camera + SMB + Tunisia/MENA-native. Camlytics (DIY software) and Videoloft (VMS add-on) share our model but aren’t retail-focused or local; RSI Geeks (Dubai) is the nearest regional analog. Even Aura Vision — our closest product twin — still ships a per-store edge box and sells to enterprise.

Messaging

Lead line (message): “Retail analytics from the cameras you already own — no new hardware.” (Aura Vision proved this hook; we mirror it.)

Second line — the differentiator: cost + local credibility (Arabic / French, Tunisian support), not privacy. Privacy is table-stakes — Aura Vision, Camlytics, RetailNext and V-Count all claim “no facial recognition / anonymous / GDPR,” so it won’t differentiate us on its own. We pair it with cost and local presence.

Proof points

Claim	Backing
No new hardware	CV on existing RTSP/ONVIF CCTV
Privacy-safe	Anonymous counts only, no face recognition, no identity storage
Transparent pricing	Published per-camera price (nearly all rivals hide behind “contact us”)
Local	Tunisian support, Arabic/French, in-region integrators

Preempt the accuracy attack

Sensor vendors (V-Count, FootfallCam) actively push “CCTV was designed for security, not analytics — it’s inaccurate.” Publish a benchmark/accuracy page with our own numbers before this objection lands.

Ideal customer profile (ICP)

Own this: independent shops, franchises, supermarkets, and shopping malls in Tunisia / MENA.

Do not chase enterprise — RetailNext, Xovis and ShopperTrak own multi-store enterprise with dedicated hardware and SOC 2. Borrow RetailNext’s by-vertical segmentation (apparel, grocery, mall…) later, once we have references.

Secondary users: security-system integrators (our channel — see GTM) and, over time, larger chains as references accrue.

Why now

• CV on commodity cameras is good enough — YOLO-class detection + modern tracking (ByteTrack) run at entrance-counting FPS on ordinary CPUs/edge boxes.
• The existing-camera model is validated — Aura Vision, Camlytics and Videoloft already sell it; the approach isn’t speculative.
• MENA is an open field — no confirmed Tunisia-native vendor. The region is served by resellers of global brands (FootfallCam alone runs 5 Dubai resellers). A local-first player has room.

MENA-first go-to-market

Motion is channel-led, not self-serve. The proven regional playbook is to sell through CCTV integrators/resellers who already own the customer and the cameras.

• Recruit local integrators as resellers — the FootfallCam Dubai blueprint, applied to Tunisia/Maghreb.
• Low-friction entry — free pilot + free tier to get in the door.
• Out-localize the nearest regional analog (RSI Geeks, Dubai) on language, support, and price framing.

See Competitors for the full landscape and the concrete “what to borrow” list.