Retail footfall intelligence

From footfall counters to commercial outcomes.

From footfall counters to commercial outcomes.

PFM helps retailers turn visitor counts into staffing plans, conversion strategies, and portfolio benchmarks. The sensors, the platform, and the expertise to make your footfall data actionable.

PFM helps retailers turn visitor counts into staffing plans, conversion strategies, and portfolio benchmarks. The sensors, the platform, and the expertise to make your footfall data actionable.

450+ shopping centres

450+ shopping centres

35K+ shops

35K+ shops

12 active European markets

12 active European markets

Portfolio overview

LVI

13.7

0.4%

Total visitors

284,311

Total passers by

138,929

Shops per visit

2.0

Average daily footfall by category

Jewellery

Books

Fashion

Electronics, Toys

Souvenirs

Food & Beverage

Personal Care

Average daily footfall

Peak hour

Wed 13:00

874 visitors

Conversion versus footfall

8%

Portfolio overview

LVI

13.7

0.4%

Total visitors

284,311

Average daily footfall by category

Jewellery

Books

Fashion

Electronics, Toys

Souvenirs

Food & Beverage

Personal Care

Peak hour

Wed 13:00

874 visitors

Conversion versus footfall

8%

The challenge

Most retailers count visitors. 


Few know what to do with the numbers.

You're probably already tracking footfall. But without context, numbers don't drive decisions.

The Tuesday afternoon mystery

Your footfall dips every Tuesday, but you don't know why. Without time-based insights, you can't tell if it's a staffing issue, a marketing gap, or a pattern to plan around.

Campaigns without proof

New window display? Local promotion? You can't tell if it actually drove more visitors through the door. Without linking campaigns to footfall, every decision stays a guess.

One report fits all

Your flagship and your quietest branch get the same weekly total. But they need completely different strategies. A single number won't tell you that.

Our approach

Your retail intelligence partner.

Your retail intelligence partner.

Tailored sensor strategy

99%+ accuracy, configured for your environment.

Site assessment before deployment, not a generic device

Right mix of LiDAR, 3D stereo, thermal, or video sensors

Configured per entrance type, ceiling height, and crowd density

Data you can trust

Clean, validated data in real time.

Half-hourly granularity across your full portfolio

National benchmarking and cross-location comparison

Validated and enriched, not just raw counts

Location Vitality Index

15.2

-0.74% vs YoY

Portfolio overview

Location Vitality Index

15.2

-0.74% vs YoY

Country

Belgium

Italy

Sweden

Malls

Your center

Your center

Your center

Mall visits

Your center

Your center

Your center

Mall visits YoY

+0.4%

+0.1%

-0.3%

Nat Index

-0.6%

+2.3%

-1.0%

Visit contribution

4.8%

37.0%

29.3%

MVI

13.9

12.3

15.0

YoY

+0.40%

+0.11%

-0.25%

Mall visits

vs Last year

0K

200K

400K

600K

Jan

Jul

Sep

Mar

May

Mall visits change by month

+3.0%

+2.0%

+1.0%

0.0%

-1.0%

-2.0%

+1.7%

+0.1%

+1.7%

+2.9%

-1.6%

-3.0%

Jan

Feb

Mar

Apr

May

Location Vidality Index

15.2

-0.74% vs YoY

Portfolio overview

Country

Belgium

Italy

Sweden

Malls

Your center

Your center

Your center

Mall visits

Your center

Your center

Your center

Mall visits YoY

+0.4%

+0.1%

-0.3%

Nat Index

-0.6%

+2.3%

-1.0%

Visit contribution

4.8%

37.0%

29.3%

MVI

13.9

12.3

15.0

YoY

+0.40%

+0.11%

-0.25%

Mall visits

vs Last year

0K

200K

400K

600K

Jan

Jul

Sep

Mar

May

Daily footfall

10K

vs last week

+7.7%

Capture rate

1.3%

Total passes

70K

Left to right

40K

vs last week

+7.1%

Right to left

28K

vs last week

+6.4%

Passes by time

Passes from left

Passes from right

09:00

10:00

11:00

12:00

13:00

14:00

15:00

Passer by direction

Passes from left

Passes from right

6K

4K

0

Sep

Oct

Nov

Dec

Store capture rate

Date

29 sept

30 sept

1 oct

2 oct

09:00

10:00

11:00

12:00

13:00

14:00

15:00

16:00

17:00

18:00

STAR

STAR

Store footfall

Street footfall

0.6

0.4

0.2

0.0

Sep

Oct

Nov

Dec

Daily footfall

10K

vs last week

+7.7%

Total passes

70K

Left to right

40K

vs last week

+7.1%

Right to left

28K

vs last week

+6.4%

Passes by time

Passes from left

Passes from right

09:00

10:00

11:00

12:00

13:00

14:00

15:00

Passer by direction

Passes from left

Passes from right

6K

4K

0

Sep

Oct

Nov

Dec

Store capture rate

Date

29 sept

30 sept

1 oct

2 oct

09:00

10:00

11:00

12:00

13:00

14:00

15:00

16:00

17:00

18:00

STAR

STAR

Store footfall

Street footfall

0.6

0.4

0.2

0.0

Sep

Oct

Nov

Dec

Daily footfall

10K

vs last week

+7.7%

Capture rate

1.3%

Total passes

70K

Left to right

40K

vs last week

+7.1%

Right to left

28K

vs last week

+6.4%

Passes by time

Passes from left

Passes from right

09:00

10:00

11:00

12:00

13:00

14:00

15:00

Passer by direction

Passes from left

Passes from right

6K

4K

0

Sep

Oct

Nov

Dec

Store capture rate

Date

29 sept

30 sept

1 oct

2 oct

09:00

10:00

11:00

12:00

13:00

14:00

15:00

16:00

17:00

18:00

STAR

STAR

Store footfall

Street footfall

0.6

0.4

0.2

0.0

Sep

Oct

Nov

Dec

Insight that drives action

From data to decisions, with expert guidance.

Staffing models aligned to real peak hours

Conversion analysis by store, hour, and campaign

Regular performance reviews with dedicated PFM consultants

The PFM difference

Stop guessing. Start knowing.

The difference between raw footfall data and real retail intelligence.

Without PFM

Numbers without context

Weekly totals without context

Weekly totals without context

Staffing based on gut feel

Staffing based on gut feel

No proof campaigns drive footfall

No proof campaigns drive footfall

Same report for every store

Same report for every store

Dashboards nobody acts on

Dashboards nobody acts on

Sensor issues spotted too late

Sensor issues spotted too late

With PFM

Intelligence that drives decisions

Half-hourly data with national benchmarks

Half-hourly data with national benchmarks

Staffing aligned to real peak hours

Staffing aligned to real peak hours

Campaign impact in actual visitor uplift

Campaign impact in actual visitor uplift

Store-level KPIs and conversion tracking

Store-level KPIs and conversion tracking

Insights reviewed with PFM experts

Insights reviewed with PFM experts

Proactive monitoring and data validation

Proactive monitoring and data validation

Proven results

See how retailers use PFM to make better decisions.

Real-world applications. Measurable results.

Real-world applications. Measurable results.

Mark King

Questions?

By the time you’ve scrolled here, you likely have questions. We’re here to help.

Mark King

Questions?

By the time you’ve scrolled here, you likely have questions. We’re here to help.

How retailers use PFM

From staffing to strategy.

Footfall data that works across your business.

Conversion optimisation

Staff planning

Marketing effectiveness

Portfolio benchmarking

Lease negotiations

Customer experience

Conversion optimisation

Staff planning

Marketing effectiveness

Portfolio benchmarking

Lease negotiations

Customer experience

See it in action

How footfall counting works in practice.

Group counting

Staff exclusion

View direction

Gender statistics

Group counting

Create conversion rates that reflect actual buying behaviour.

Videos shown by Xovis.

All rights reserved.

See it in action

How footfall counting works in practice.

Group counting

Create conversion rates that reflect actual buying behaviour.

Videos shown by Xovis.

All rights reserved.

Our technology

The right sensor for every setting.

PFM is sensor-agnostic. We select and configure the best footfall counter technology for your specific environment.

See what footfall data can do for your business.

Receive a free personalised quote

Consult with dedicated retail data experts

Discover how other retailers drive results

Trusted by industry leaders

Our team will get back to you within 3 business days

See what footfall data can do for your business.

Receive a free personalised quote

Consult with dedicated retail data experts

Discover how other retailers drive results

Trusted by industry leaders

Our team will get back to you within 3 business days

FAQ

Frequently asked questions about retail intelligence.

What is retail footfall intelligence?

How does PFM turn footfall data into business decisions?

What makes PFM different from other footfall providers?

How long does it take to get started with PFM?

Is footfall intelligence GDPR-compliant?

What is retail footfall intelligence?

How does PFM turn footfall data into business decisions?

What makes PFM different from other footfall providers?

How long does it take to get started with PFM?

Is footfall intelligence GDPR-compliant?