InfoSum
Decentralised clean room with no data movement
Best for mid-market and enterprise publishers.
Summary review · Last verified Oct 19, 2026 · Scored on 9 criteria · Vendors can't pay for scores
Research by Vahe Arabian · Scored and edited by the SODP team
Key facts
- Score
- 3.1 / 5
- Tier
- Marginal Fit
- Pricing model
- Platform licence, custom pricing
- Type
- Clean room
- Publishers using it
- 2
- HQ
- London, United Kingdom
- Headcount
- 74
At a glance
- InfoSum scores 3.1/5 (Marginal Fit) in Benchmark Grid's independent data clean rooms benchmark, assessed on 9 published criteria.
- It is built for mid-market and enterprise publishers.
- Strongest on Privacy & Regulatory Compliance (GDPR/CCPA) (4.6) and Publisher Data Control & Governance (4.5); weakest on Cost & Commercial Model (1.8).
- Pricing: Platform licence, custom pricing.
- 2 publishers in our tracking use InfoSum, from ads.txt files, page code and public case studies.
- Scores last verified 19 Oct 2026. Vendors cannot pay for a score or a position.
Summary
Editor's update, October 2026: 19 Oct 2026 accuracy audit: WPP ownership added, empty copy written.
Decentralised data clean room, now part of WPP, where parties collaborate without sharing or moving data, with solutions for media owners, data providers and advertisers.
InfoSum is a decentralised data collaboration platform, now 'A WPP Company'. Its Data Clean Room lets organisations connect datasets without sharing or moving the underlying data, and its products extend this to cross-cloud collaboration (Beacons) and multi-company collaboration (Private Path). It has dedicated solutions for media owners, data providers, advertisers and commerce media.
For publishers, the standout is its media-owner offering, pitched at turning first-party data into secure data partnerships that attract ad spend. Broadcasters and publishers including Channel 4, ITV, CNN and The Telegraph appear among its customer logos, and its site cites an ITV campaign delivering a +9% sales lift for Lenovo.
Publishers should weigh the ownership: as part of WPP, a holding group that buys media, it is no longer a neutral independent vendor. Matching methodology and integrations are not documented in detail on its site, pricing is custom, and setup typically needs onboarding and architectural planning.
Score breakdown
3.1 = 0.45 × 3.45 capability + 0.40 × 3.50 publisher fit + 0.15 × 1.20 cost
Σ (criterion rating × weight) across 9 criteria · scale 1 (poor) → 5 (excellent)
The decentralized architecture is specifically engineered to ensure zero data movement, providing strong inherent privacy-by-design compliance.
14% of capability · What we check: The tool provides automated audit trails and consent management features to ensure all data processing meets current privacy legal requirements.
The platform utilizes a robust distributed matching engine that allows for high-fidelity identity resolution without exposing raw PII.
14% of capability · What we check: The system matches first-party identifiers against partner data sets with high accuracy and minimal data loss rates during the process.
Data governance is foundational to the product, ensuring that publishers retain full control over how their datasets are accessed by partners.
12% of capability · What we check: Publishers define granular permission settings to restrict who accesses their raw data and prevent unauthorized data extraction or re-identification.
While the technology is highly capable, its effectiveness is dependent on the adoption by the publisher's specific advertising partners.
12% of capability · What we check: The platform supports standard APIs to connect directly with major ad tech vendors, demand-side platforms, and external cloud storage providers.
The platform provides standard clean-room query capabilities, though it lacks the advanced custom modeling flexibility found in some hyperscaler environments.
12% of capability · What we check: Users run complex SQL-based queries across joined datasets to generate custom reports without needing to move data out of storage.
Supports effective audience activation across the ecosystem by facilitating secure collaboration between advertiser and publisher platforms.
10% of capability · What we check: The tool pushes segmented audience lists directly to programmatic platforms or activation channels through pre-built secure connectors.
The technical complexity of a decentralized clean room setup typically requires significant onboarding and architectural planning.
10% of capability · What we check: Technical teams complete the initial account setup, data ingestion pipeline configuration, and system testing within four weeks of deployment.
The custom enterprise pricing model lacks transparency and typically involves high total cost of ownership for implementation.
8% of capability · What we check: The pricing structure uses transparent usage-based or subscription fees with no hidden costs for data ingress or platform maintenance.
Reporting is functional for basic collaboration and audience matching but may lack the deep, native attribution granularity required by some marketers.
8% of capability · What we check: The dashboard displays cross-channel performance metrics and attribution data while preventing individual user tracking through differential privacy techniques.
InfoSum scores 3.1/5 in Benchmark Grid's independent Best Data Clean Rooms for Publishers benchmark (benchmarkgrid.com/best-data-clean-rooms-for-publishers/infosum, verified Oct 19, 2026)
Strengths & limitations
Strengths
- Raw data never leaves each party's environment
- Dedicated media-owner solution
- Used by major broadcasters and publishers
Limitations
- Owned by WPP, which raises neutrality questions for publishers
- Matching method and integrations not documented publicly
- Custom pricing and significant onboarding
Who uses it
Detected from site code, ads.txt records and published case studies — not from the vendor's own customer list. 1 confirmed, 1 seen in a single source.
By publisher size
By content vertical
Publishers running InfoSum2
- News Corp AustraliaEnterprise· News
- Axel SpringerEnterprise· News· reported
Cost of ownership
Pricing
Platform licence, custom pricing
Pricing unclear for your setup? — we'll make the introduction. Free, and it never affects the score.
Cost data sourced from vendor pricing pages and community signals. Vendors may dispute any factor.
What users say
Users value this platform’s intuitive, privacy-compliant, and decentralized identity infrastructure, though some report that the sales process is complex, costly, and requires significant implementation effort.
Sources: Reddit 63% · Blog 25% · G2 6% · X 6%
Most discussed
Recent quotes
"Through the InfoSum integration , advertisers can push their first-party signals directly to Amazon Ads and create custom audiences for personalized targeting"
Positive·Blog·1y ago·via Amazon
"Nielsen Marketing Cloud (NMC) data is now integrated with @InfoSum's privacy-first data collaboration platform."
Positive·X·via Nielsen
"InfoSum have been round for a while and are smashing it in the publisher/broadcaster space."
Positive·Reddit·4y ago
"WPP has acquired data collaboration platform InfoSum. InfoSum will enable WPP clients to connect their first-party data with data providers and media partners’ data, while remaining privacy-compliant."
Positive·Blog·1y ago·via WPP
"About 4 years ago we had several calls w Infosum and I got a really sketchy vibe when we pressed on ..."
Negative·Reddit
16 mentions from 4 independent sources, each read and scored by our analyser. Mentions we could not tie to a real user, and those flagged as promotional, are excluded. Sentiment is opinion, and is independent of the verified publisher adoptions shown above.
The company behind InfoSum
Company facts come from an independent business-data record rather than the vendor's own site.
- Employees
- 74
- Headquarters
- London, United Kingdom
- Ownership
- Privately Held
Who can implement it
Agencies and resellers that help publishers deploy InfoSum. A stronger ecosystem means lower implementation friction. Sourced from InfoSum's published partner directory.
- AccentureListed· North America, Europe, Middle East, Africa, Asia-Pacific
- CLV GroupListed· Europe, Middle East, Africa, North America
- DeloitteListed· North America, Asia-Pacific, Europe, Middle East, Africa
- Prohaska ConsultingListed· North America
- SilverbulletListed· North America, Asia-Pacific, Europe, Middle East, Africa
Compare InfoSum
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FAQ
How is InfoSum scored?
InfoSum scores 3.1 out of 5 in Benchmark Grid's independent Best Data Clean Rooms for Publishers benchmark. The overall figure blends capability (45%), publisher fit (40%) and cost of ownership (15%). Capability is itself a weighted average of 9 criteria; the heaviest are privacy & regulatory compliance (gdpr/ccpa) (14%), identity & matching quality (14%) and publisher data control & governance (12%). Vendors cannot pay for a score.
What size publisher is InfoSum built for?
InfoSum is built for mid-market publishers and enterprise publishers. That is the vendor's own stated target, and it is one of the inputs to our publisher-fit score — a platform that suits a national newsroom often carries more operational load than a small one can absorb.
What does InfoSum cost?
Platform licence, custom pricing Our cost-of-ownership score is 1.2/5, which weighs pricing transparency, entry cost, implementation cost, hidden-fee risk and ongoing cost. Ask the vendor for a written first-year figure that includes implementation before you commit.
Who uses InfoSum?
We have evidenced 2 publishers running InfoSum. Adoptions are detected from site code, ads.txt records and published case studies rather than taken from the vendor's own customer list, and each one is listed on this page.
Can InfoSum pay for a better score?
No. Scores come from our editorial review of the product's documentation, demos and public evidence. A vendor can claim this listing or request a re-review, but nothing they buy changes a score or a position.
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