Sales overview

Internal sales reference for Metrica — real-time foot-traffic analytics that runs on a store’s existing cameras. For the product itself, see the product overview.

The one-liner

Metrica turns the cameras you already have into a live footfall dashboard — no new hardware, no face recognition.

What it does

Metrica runs computer vision on a store’s existing CCTV to deliver:

Live visitor count (people currently inside, inflow rate)
Daily totals and peak hours
Dwell time (how long customers stay)
Hourly heatmaps and staffing-vs-traffic views

The buyer’s pitch is always money, not data: “better-matched staffing to your real rush hours” beats “analytics dashboard.”

Why Metrica wins

No hardware cost. Competitors sell proprietary people-counting sensors. Metrica is a pure software layer on the IP cameras a store already runs, so there is no sensor capex — the only capital item is an optional edge box, and that can be customer-funded via an install fee.
Privacy-safe. Anonymous counts only — no face recognition, no personal identity storage. This clears easily with owners and is decisive in conservative markets and with affluent, brand-sensitive clienteles.
MENA-native. Built for Tunisia / MENA first. Priced in TND, inside the band shops already pay for cloud POS software, and roughly 10x cheaper than hardware-bundled global competitors like V-Count.
Sold through the channel. CCTV integrators and resellers already own the cameras and the retail customer, so they can switch Metrica on over existing installs and invoice within one project cycle — no procurement.

Key talking points

Works with existing cameras — zero hardware dependency in the MVP.
100% anonymous data; no face recognition.
Sits inside spend shops already accept (25–85 TND/mo cloud POS band).
An add-on that is obviously ROI-positive: right-size staffing, prove conversion, justify mall rents with real footfall.
For malls, footfall data is a direct leasing tool tenants pay attention to.

How we sell

Sell the chain / group HQ, not individual stores. One HQ contract controls the CCTV, IT and capex for the whole fleet — pilot in the highest-traffic flagships, then roll out. This beats dozens of separate store conversations that control neither the cameras nor the budget.

Target: chain/group HQ (retail or IT director), company-owned flagship stores, then the rest of the owned fleet on the same contract.
Skip or defer: franchised kiosks and truly independent single-store owners — small, often no proper CCTV, and they own neither the data nor the decision.
Channel first for the fastest pilot: CCTV integrators (3S, MTS) resell Metrica as a recurring line on installs they already win.

See prospects for the ranked target list and pricing for tiers and payment models.

Objection handling

Objection	Response
“We’d have to buy sensors / new hardware.”	No — Metrica runs on your existing IP cameras. The only optional item is an edge box, and an install fee can cover it.
“Privacy / customer data concerns.”	Anonymous counts only, no face recognition, no identity stored. Cite the buyer’s own DPO where one exists (e.g. Magasin Général).
“It’s just another dashboard.”	Tie it to money: staffing against real peaks, conversion, rent justification. Price is easy to accept when it’s obviously smaller than what it saves.
“Too expensive / a foreign price.”	Priced in TND inside the local cloud-POS band, ~10x cheaper than V-Count. Pilot at 39 TND/mo to prove it.
“Big-org procurement is slow.”	Start with a paid pilot on one flagship, or enter through a CCTV integrator to skip procurement entirely.