AI visıtor analytıcs for retaıl

Turn every store visit into your next growth decision

Your stores see what no website can: who walked past, who stepped in, where they went and where they left. Indivd's AI visitor analytics turns every visit into evidence for your next refit, campaign or staffing call.


Beyond footfall and sales

See what your weekly report leaves out

Footfall counts arrivals. Sales record purchases. Neither reveals the full visit or tells you what to improve next.

"Our new layout is live."

But are shoppers reaching key departments, or walking past them?

But are shoppers reaching key departments, or walking past them?

"Saturday was busy."

But was your team where the shoppers were?

"Footfall is up."

But did it bring in the shoppers you wanted?

"Sales improved after the refit."

But which change did it, and should other stores copy it?

THE SHIFT

Earn the visits shoppers no longer have to make

Nobody has to come to a store anymore. Every visit is chosen, so the retailers who grow are the ones who know what earns it. A count can't tell you that.

Counting visitors

Understanding visits

WINDOW

WINDOW

Today

Entrance traffic

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Who walks past, and the share who step in

WHO

WHO

Today

How many came in

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Which shopper types came in, and whether they match your audience

IN-STORE

IN-STORE

Today

One total for the store

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Where shoppers go, linger and leave, department by department

FLOOR

FLOOR

Today

Peaks for the whole store

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Activity by department and hour, to plan cover

CHANGE

CHANGE

Today

Totals before and after

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Matched periods per department and audience, across similar stores

CAPABILITIES

Understand what every visit is telling you

Design around how shoppers explore

Follow the route between departments, see which ones share visitors, and where shoppers linger or turn back. Use it to guide placement, merchandising and your next layout.

Visit paths · Shared visitors · Dwell time

Attract more of the shoppers you want

Put service where it matters

Know which changes deserve a wider rollout

Design around how shoppers explore

Follow the route between departments, see which ones share visitors, and where shoppers linger or turn back. Use it to guide placement, merchandising and your next layout.

Visit paths · Shared visitors · Dwell time

Attract more of the shoppers you want

See how many people pass your window, how many step in, and whether they match the audiences your campaigns are aimed at.

Passers-by · Drop-in rate · Audience match


Put service where it matters

See when each department gets busy and where shoppers spend time. Align staffing with activity across the floor to support shoppers throughout their visit.

Activity by department · Hour by hour


Know which changes deserve a wider rollout

Compare shopper behaviour before and after a refit, display change or campaign. Identify promising improvements and test them across similar stores.

Before and after · Store comparison

WHY INDIVD

Start fast, stay accurate, scale safely

Start with the cameras you have

Works with the cameras already in your stores, without replacing a single device.

Numbers you can defend

Every camera is checked by hand against human counts before a store goes live.

Anonymous by design

Patented anonymization at capture. Understand shopper types and behaviour without identifying individuals.

One view, connected to your stack

Compare every store side by side, and send the data to your BI and POS tools through open APIs and webhooks.

FOR YOUR TEAMS

Give every team the same view of the visit

MARKETING

See which campaigns attract your target shoppers. Use those insights to refine your messaging and displays.

STORE EXPERIENCE

See how shoppers explore and where they leave. Improve layouts and product placement to help them discover more.

OPERATIONS

Align staffing with activity across departments. Compare stores to focus support where it matters most.

CUSTOMER STORIES

Trusted by winning locations

Indivd bridges the gap between our e-commerce expertise and our physical stores, letting us use insights to improve customer experience and increase both relevance and efficiency within our stores.

Pontus Ericsson

Pontus Ericsson

Chief Commercial Officer

Chief Commercial Officer

Retail was always an intuitive guessing game. Even the best decisions have relied on assumption. Indivd has given us the tools to drive sustainable progress. Those who embrace that will be the guiding stars of tomorrow’s retail.

Retail was always an intuitive guessing game. Even the best decisions have relied on assumption. Indivd has given us the tools to drive sustainable progress. Those who embrace that will be the guiding stars of tomorrow’s retail.

Isak Alidzanovic

Isak Alidzanovic

Sales Lead

Sales Lead

We started working with Indivd for their promise of accurate footfall tracking with minimal hardware and time investment. Their data quickly proved invaluable for understanding in-store behaviour and guiding our decisions.

We started working with Indivd for their promise of accurate footfall tracking with minimal hardware and time investment. Their data quickly proved invaluable for understanding in-store behaviour and guiding our decisions.

Nicole Wuethrich

Nicole Wuethrich

Chief Executive Officer

Chief Executive Officer

INTEGRATIONS

Bring every visit into the tools your team uses


Send visitor data to your BI, POS and CRM, so visits and sales sit in the same report. Indivd is in production with enterprise customers across APAC, EMEA and the US.

See visits next to sales. Combine visitor data with your POS figures to see what each visit is worth.

Keep your own store IDs. Use your own store and zone names, so reports match how your team already works.

Give your AI tools the answers. Our MCP server lets your AI agents ask about your stores, and only your stores.

Own your data. Export everything, any time, in documented formats.

FAQ

Make a confident start

What can we measure beyond footfall?

How many people walk past, which shopper types step in, the route they take through your departments, how long they stay and where the visit ends.

What do drop-in rate, dwell time and bounce rate mean?

Drop-in rate is the share of people passing your entrance who step inside. Dwell time is how long shoppers stay in the store or a department. Bounce rate is the share who leave a department within seconds of entering.

Can our existing cameras cover the window and the floor?

In most stores, yes. Indivd works with compatible 2D cameras. Storefront metrics need a camera angled toward the entrance, and we plan coverage with you during setup.

Does Indivd identify shoppers?

No. Indivd anonymizes people at capture with a patented method and describes shopper types, never individuals. Data is processed in the EU.

How do we know we can trust the measurements?

Every camera is checked by hand against human counts before its store goes live, and again over time. You choose who runs QA: your team or ours.

Can we connect Indivd to our own systems?

Yes. Visitor data flows into your BI, POS and CRM tools, using your own store and zone names, and you can export everything at any time.

Can my team get answers without an analyst?

Yes. Anyone on your team can ask what happened in a store on a given day, in plain language, and get figures and charts back from your own data.

What happens in the demo?

A live walkthrough tailored to your role. Bring a store performance question you want to answer, and we'll show you how Indivd answers it.

What support do I get as a customer?

We stay with you from day one. Our team helps you set up, understand your results, and find quick wins. You get a partner focused on making every location perform better.

Can Indivd identify our most valuable visitors?

Every location attracts a different share of ideal visitors, the ones who buy more and return more often. Indivd shows how many you reach so you can benchmark performance and focus on what truly drives growth. Counting totals is just noise.