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Standardized Performance Across Every Location

PORTFOLIO BENCHMARKING.MULTI-SITE PERFORMANCE, COMPARED.

Portfolio Benchmarking

Compare occupancy, traffic, and conversion across your portfolio. Identify top and underperforming locations with consistent, verified data.

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DEFINITION

Portfolio Benchmarking

Portfolio benchmarking means comparing locations across the same portfolio on a shared, audit-ready data foundation—so prioritization is fast and consistent.

What it is

Standardized measurement and comparison of visits and movement flow across multiple locations over the same period.

What it requires

Shared definitions, stable operations, and traceability—so numbers hold up in internal controls, vendor changes, and audits.

What you get

Decision-grade comparability: ranking, segmentation, and clear variance per location.

AUTHORITY

Why it’s difficult

Portfolio benchmarking fails for one reason: small differences in method become big differences in results. Without control of definitions and operations, the “best site” is often just the “best measured”.

Different definitions

“Visit” does not mean the same thing if count points, zones, or rules vary between sites.

  • Entry/exit handled differently
  • Filtering and double-counting differ

Operational noise

When sensors move, get blocked, or go down, the benchmark looks “real” but is actually operations.

  • Breaks in series and gaps
  • Without quality signals, variance becomes political

Normalization that holds

Comparing sites without accounting for opening hours, seasonality, and profile leads to wrong conclusions.

  • “Similar” sites are rarely similar
  • Requires documented rules, not assumptions

That’s why benchmarking is a method problem before it’s an analytics problem.

OUTCOME LAYER

What it enables

When the portfolio is measured consistently, you can manage across sites: prioritize actions, track impact, and explain variance without method debates.

Audit-ready prioritization

Rank sites on the same definitions and data quality—so capex and actions follow facts.

  • Clear “why” behind top/bottom
  • Comparable periods and segments

Impact measurement by site

See before/after changes without results getting distorted by seasonality, opening hours, or measurement noise.

  • Stable baseline for tests
  • Better decisions on what to scale

Portfolio operating model

Make the portfolio manageable with fixed KPIs, clear tolerances, and traceable variance—from site to exec.

  • One language across ops and commercial
  • Less “Excel politics” in QBRs

When comparisons are correct, you can move from numbers to actions.

TRUST

What makes the numbers credible

Benchmarking is used for decisions. Numbers must be traceable, stable, and explainable—especially when something deviates.

Traceability by site

Numbers can be explained back to count point, zone, and rule set—without manual “in-between” work.

  • Documented definitions
  • Change tracking over time

Data quality as a signal

Quality is made explicit so variance is interpreted correctly—not turned into a “who’s right” debate.

  • Coverage, status, and variance per sensor
  • Breaks in series are flagged and explained

Stable operations

Benchmarking over time requires operations that don’t drift—same method, same standards, same follow-up.

  • Defined routines for control and maintenance
  • Changes handled as part of the method

Trust is not a design choice. It’s an operating choice.

FAQ

Frequently asked questions

Short, concrete, decision-oriented. For deeper detail, we handle it in a technical review.

What’s the minimum to compare sites?

A shared visit definition, the same entry/exit counting approach, and a common filtering rule. Otherwise you’re comparing methods, not performance.

How do you handle opening hours and seasonality?

We normalize to defined opening hours and compare like-for-like periods. Holidays and exceptions are handled as explicit rules—not assumptions.

What happens when a sensor moves or goes down?

It shows up as a quality signal / break in series, so you can tell whether variance is operational or real. That keeps the benchmark interpretable.

Can we benchmark different site types in the same portfolio?

Yes—but not as if they’re the same. Segment by site type and compare within segments before comparing across them.

30+ YEARS OF ACTIONABLE INSIGHTS

Holme Gaard Værk-1
Grindsted Handel
Dansk - Vi klær familien på
Skousen
KLP-1
Steen & Strøm-1
BabySam
ECE-1
Hummel
NewYorker
Tic-1
Momu Moesgaard Museum
Nyborg Bibliotek-1
Nic. Christiansen Gruppen
Bloms Butikker-1
MEC-1
Tarm HAndelsforening
Sportmaster - Vild med sport
Bjørklund Lykkesmed
Hobbii
David Kern Sloth

David Kern Sloth

European Sales Director

+4531542114 dks@countmatters.com
Fredrik Ståhl

Fredrik Ståhl

Sales Manager Sweden

+460701906588 fs@countmatters.com
Anders Hamstad

Anders Hamstad

Sales Manager Norway

+4795007434 ah@countmatters.com
Naoufal Chaghouani

Naoufal Chaghouani

Key Account Manager Germany

+4915114104852 nc@countmatters.com
Susanne Neumann

Susanne Neumann

Country Manager Germany

+491787174231 sn@countmatters.com

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