MOOVAZ product family
MOOVAZ Insights
Know your footfall and make better decisions.
What it is
For physical businesses with security cameras, Insights turns permitted video into aggregated footfall data — busy and quiet times, traffic patterns and campaign impact — and answers plain-English questions like “When do I need more staff?”
Privacy-first by rule: insights, not identities. No facial recognition by default, minimal retention and specialist UK privacy review before anything sensitive.
Key capabilities
- Footfall by hour and day
- Busy/quiet period detection
- Acquire campaign vs in-store visits
- Staffing and promotion suggestions
- AI question-and-answer layer
Steps to build
- 01
Privacy & legal review
Define lawful basis, CCTV signage, retention and data processing agreements.
- 02
Camera connection
Connect to common CCTV systems or a small on-site device.
- 03
Counting model
Anonymous people counting, aggregated on-device where possible.
- 04
Dashboard
Footfall charts, comparisons and campaign overlays.
- 05
AI answers
Plain-English questions and weekly recommendations.
Go-to-market strategy
Target customers
- Shops, cafés, gyms and restaurants already on MOOVAZ
Message
- “See whether your campaign brought people through the door”
- Lead with privacy and trust
Launch
- Small paid pilot with a handful of venues
- Publish privacy approach before wider launch
Pricing
- Monthly per-location fee; pricing to validate in pilot
Sales email template
A clearer view of busy times at [Business name]
Hi [First name],
I noticed [specific observation about their venue or trading hours]. Do you currently have a reliable way to compare footfall across the week, or see whether a promotion brings more people through the door?
We're exploring MOOVAZ Insights for physical businesses with suitable security cameras. The plan is to turn permitted video into aggregated footfall trends to support staffing and promotion decisions.
The focus is on counts and patterns, not identifying people, with no facial recognition by default. Camera suitability, privacy requirements and a specialist UK privacy review would need to be addressed before any pilot.
Would you be open to a 15-minute conversation about the decisions better footfall information could help you make at [Business name]?
Best, [Your name] MOOVAZ [Your phone number]
If this isn't relevant, just reply and I won't follow up.
Team notes & prompt library
Working notes for developers, marketing and sales. Editable in src/data/notes/insights.md — add and refine prompts here as the product evolves.
Insights — Team notes & prompt library
Working notes for the MOOVAZ Insights product. Developers, marketing and sales: add, refine and reuse the prompts below. Keep prompts copy-paste ready.
Developer prompts
- Draft the privacy architecture: anonymous people counting aggregated on-device, minimal retention, no facial recognition by default.
- Design the camera connection layer for common CCTV systems plus a fallback on-site device.
- Build the AI question-and-answer layer over aggregated footfall data ("When do I need more staff?") with weekly recommendations.
Marketing prompts
- Write the privacy-first trust page: insights, not identities — signage, retention and data processing commitments.
- Draft the "see whether your campaign brought people through the door" case-study template linking Acquire spend to in-store visits.
- Create pilot recruitment copy for shops, cafés, gyms and restaurants already on MOOVAZ.
Sales prompts
- Write the pilot pitch: small paid pilot with a handful of venues, what they get, what we learn.
- Draft objection responses for "is this legal with my CCTV?" and "my customers will feel watched".
- Write a pricing conversation guide for a per-location monthly fee validated in the pilot.