April 2026 · Methodology v1.2
The Analytics Governance Benchmark - 2026 edition
We scanned regulated organisations across multiple sectors to measure the state of analytics governance in regulated industries.
Grade Distribution
Of the organisations that returned a conclusive scan, the distribution reveals significant variation in governance posture across regulated industries.
Sites that blocked automated scanning, returned errors, or had insufficient data for a reliable grade.
Key Findings
Root cause analysis across all organisations that scored below an A grade.
Consent not enforced
Consent management platforms are present but not properly enforcing consent signals. Tags fire before or regardless of user consent choices, undermining the entire consent architecture.
No consent infrastructure
A notable group of regulated organisations have no consent management platform deployed at all. All tags fire unconditionally on page load.
Consent Mode V2 adoption
Organisations that have adopted Google Consent Mode V2, enabling more accurate conversion measurement while respecting user consent choices.
Session replay detected
The scan observed no session replay tooling in this cohort - no scanned organisation matched a known session replay signature. Session replay tools capture detailed user interactions and raise significant data protection questions under GDPR.
Server-side GTM adoption
The scan observed no server-side Google Tag Manager signatures in this cohort. Server-side GTM is a key mitigation for cross-border data transfer risks, and this figure reflects what is observable from the browser, not adoption the scan cannot see.
Performance by Sector
Average governance scores and grade distribution across regulated sectors.
| Sector | Organisations | Avg. Score | A | F |
|---|---|---|---|---|
| Banking | 257 | 45 | 58 | 55 |
| Insurance | 253 | 45 | 44 | 75 |
| Energy | 143 | 42 | 21 | 36 |
| Gambling | 112 | 18 | 3 | 30 |
| Telecoms | 110 | 44 | 18 | 30 |
| Fintech | 104 | 43 | 22 | 26 |
| Investment | 76 | 48 | 8 | 16 |
| Pharma | 72 | 52 | 16 | 15 |
| Healthcare | 70 | 41 | 9 | 27 |
| Credit Union | 58 | 49 | 5 | 13 |
| Transport | 48 | 27 | 2 | 15 |
| Automotive | 34 | 32 | 0 | 9 |
| Legal | 33 | 45 | 3 | 10 |
| Aviation | 31 | 30 | 4 | 8 |
| Property | 20 | 22 | 0 | 13 |
| Payments | 10 | 45 | 2 | 2 |
Scoring Dimensions
Each organisation is scored across five weighted dimensions.
Methodology
Each organisation was scanned using ConsentMark's automated governance scanner, which loads the homepage in a headless browser, observes all network requests before and after consent interactions, and evaluates five governance dimensions. Scans were conducted over a two-week period in April 2026 and scored under methodology v1.2, the version current at scan time. Organisations were selected from publicly available regulatory registers across EU/EEA jurisdictions.
This benchmark measures observable, external governance signals only. It does not assess internal policies, contractual arrangements, or server-side processing that is not visible from the browser.
Cite this edition
Pick the format that matches where you are pasting. The methodology version is preserved in every variant so the citation stays verifiable after future methodology changes.
@misc{consentmark-benchmark-2026,
author = {{ConsentMark}},
year = {2026},
title = {The Analytics Governance Benchmark, 2026 edition, methodology v1.2-era},
howpublished = {\url{https://www.consentmark.com/benchmark/2026}},
note = {ConsentMark methodology v1.2}
}ConsentMark. (2026, April 13). The Analytics Governance Benchmark, 2026 edition, methodology v1.2-era. Methodology v1.2. https://www.consentmark.com/benchmark/2026[The Analytics Governance Benchmark, 2026 edition, methodology v1.2-era - ConsentMark](https://www.consentmark.com/benchmark/2026)The Analytics Governance Benchmark, 2026 edition, methodology v1.2-era - ConsentMark, 2026-04-13, methodology v1.2, https://www.consentmark.com/benchmark/2026Scan your site now
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