MetaMetrics review

Adequate — 3 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 25% of the total score.

Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Excellent 1 · Strong 4 · Adequate 11. The typical agency here scores Adequate, and 5 of them score higher than this one.

What this dimension measures: The heaviest weight, because an unvalidated model is an opinion with decimal places. Look for a described methodology, stated assumptions, and above all how the model is VALIDATED: holdout periods, backtesting, or reconciliation against a real experiment. A described method with no validation story scores 3.

Scores high — A firm that publishes its validation approach and names its limits scores 4-5.

Scores low — 'Proprietary algorithm' with no methodology at all scores 1-2 — proprietary is not a method, and in this category it is the single least checkable claim a vendor can make.

What we found — The method is named rather than hidden behind 'proprietary': the FAQ and the Full Mix Modelling page state pooled multivariate linear regression using OLS plus Bayesian analysis, over roughly three years of weekly data, with media and non-media drivers (pricing, promotions, seasonality, competitor activity) modelled together. That is more disclosure than a black-box claim. What is missing is a validation protocol: no holdout period, no backtest, no reconciliation against an experiment is described anywhere on the site. The nearest thing is a recommendation that the client calculate predictive forecasts after launch to check fit against actual sales, and a stated reliability condition ('generally very reliable as long as there are no changes in the fundamental dynamics of the market or the brand'). That is a described method with only a thin, client-side validation story, which sits at the middle band, not the top. That is between the two bands, which is why it scored Adequate.

On the record — “The modelling technique is published: pooled multivariate linear regression using OLS, plus Bayesian analysis, applied to roughly the most recent three years of weekly data.” metametrics.co.uk ↗

On the record — “The site claims econometrics 'typically improves ROI by at least 20%' with no named client or corroboration, and offers to 'prove the financial impact of your marketing' while describing no experimental method.” metametrics.co.uk ↗

Evidence: partly checkable — corroborated in part against the sources below; the remainder rests on the agency’s own account.

Weak — 2 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 20% of the total score.

Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Excellent 1 · Strong 7 · Adequate 5 · Weak 3. The typical agency here scores Strong, and 13 of them score higher than this one.

What this dimension measures: Whether the firm can establish causality rather than only correlation: geo holdout tests, matched-market design, PSA/ghost-ad tests, switchback designs, or reconciliation of modelled results against live experiments.

Scores high — Named experiment designs with described execution score 4-5.

Scores low — Correlation-only modelling with no experimental capability scores 2-3 — legitimate and common, but the buyer should know they are buying a correlational estimate. A firm that presents modelled attribution as proven causality scores 1-2, and the overclaim should be named in the verdict.

What we found — Across the homepage, How We Help, What We Offer, the Full Mix Modelling page, Meta-OS, RapidROI, the FAQ, the client stories index and the blog index, there is no mention of geo holdout tests, matched-market design, PSA or ghost-ad tests, switchback designs, or reconciliation of modelled results against a live experiment. This is a correlational econometrics practice, which is legitimate and common in MMM. It scores at the bottom of that band rather than the top because the site simultaneously uses proof language: How We Help offers to 'prove the financial impact of your marketing' and the modelling page describes measuring 'incremental sales', while nothing on the site establishes causality experimentally. A buyer should read the output as a modelled estimate, not a measured lift. That is what the low band describes, which is why it scored Weak.

On the record — “No geo holdout, matched-market, PSA/ghost-ad or switchback testing is mentioned on any page read, including the services pages, FAQ, client stories and the blog index.” metametrics.co.uk ↗

On the record — “The site claims econometrics 'typically improves ROI by at least 20%' with no named client or corroboration, and offers to 'prove the financial impact of your marketing' while describing no experimental method.” metametrics.co.uk ↗

attribution — working out which marketing touch actually caused a sale. Good practice names its model and its blind spots; bad practice quotes each ad platform’s self-graded numbers, which overlap and overclaim.

Evidence: inferred — our reading of indirect evidence, not a documented fact.

Stronger here: Fusepoint Insights scores Excellent on the same dimension.

Adequate — 3 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 15% of the total score.

Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Excellent 1 · Strong 9 · Adequate 5 · Weak 1. The typical agency here scores Strong, and 10 of them score higher than this one.

What this dimension measures: Attributable client work at a stated scale and category. Treat any 'we found X% waste' claim as a vendor-stated number unless a client is named and corroborates it.

Scores high — Named clients with described engagements score 4-5.

Scores low — Anonymised case studies score 2-3 — common here for genuine confidentiality reasons, so do not penalise beyond the band, but do not credit unverifiable lift figures either.

What we found — Every case study in Client Stories is anonymised. The one read in full ('How effective was our latest media campaign?') describes 'a well-known large charity', four refreshed models plus a RapidROI analysis, and a directional finding that the new campaign under-performed core media on ROI, with no figures at all. Named attribution exists only in homepage testimonials, which carry person, title and company: Jamie MacNaughton (Acquisition Director, Tails.com), Kelly Kershaw (Business Director, MI Media) and Matthew Pover (Group Growth Officer, The Specialist Works). Testimonials are not described engagements, and the headline 'typically improves ROI by at least 20%' on How We Help is a vendor-stated number with no named client behind it. Anonymised case studies band, no credit taken for the uncorroborated lift claim. That is between the two bands, which is why it scored Adequate.

On the record — “All published case studies are anonymised. The campaign-effectiveness study describes 'a well-known large charity', four refreshed models and a RapidROI analysis, and reports no quantitative results.” metametrics.co.uk ↗

On the record — “The site claims econometrics 'typically improves ROI by at least 20%' with no named client or corroboration, and offers to 'prove the financial impact of your marketing' while describing no experimental method.” metametrics.co.uk ↗

attribution — working out which marketing touch actually caused a sale. Good practice names its model and its blind spots; bad practice quotes each ad platform’s self-graded numbers, which overlap and overclaim.

Evidence: vendor stated — the agency’s own claim, recorded as theirs rather than ours.

Strong — 4 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 15% of the total score.

Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Strong 10 · Adequate 4 · Weak 2. The typical agency here scores Strong, and none scores higher than this one.

What this dimension measures: What the engagement needs from the buyer (spend, conversion, and channel data at what granularity) and — critically — whether the firm also buys the media it is measuring. A firm that measures media it does not sell is structurally more credible; where the same firm buys and grades its own work, that conflict must be disclosed and should be named in the verdict whether or not the firm names it.

Scores high — Clear data requirements plus independence from media buying scores 4-5.

Scores low — Undisclosed conflict scores 1-2.

What we found — The clearest part of the site. The FAQ specifies exactly what the engagement needs: weekly deployment and spend by channel, TV ratings for television, impressions or clicks for digital, and weekly KPI data (sales, new customers, repeat orders, leads, web visits, brand awareness); three years of weekly data as the normal starting point, with projects run on as little as 26 weeks; aggregated weekly figures only, no personally identifiable information, uploaded to a secure cloud FTP server, stated as GDPR compliant. On independence, Who We Are states the firm neither buys nor sells media and works alongside the client's own media agency, which is consistent with two of its three named testimonials coming from media agencies (MI Media, The Specialist Works) rather than advertisers. No structural conflict between measuring and selling the media was found. Capped below Excellent because independence is a vendor statement corroborated only indirectly. That is the high band above, which is why it scored Strong.

On the record — “Data requirements are itemised: weekly deployment and spend, TV ratings for TV, impressions or clicks for digital, and weekly KPI data; three years typical, 26 weeks minimum; aggregated only, no personally identifiable information, uploaded via a secure cloud FTP server.” metametrics.co.uk ↗

On the record — “The firm states it does not buy or sell media and works as an independent consultant alongside the client's media agency. Founded 2010 by Tom Lloyd; MD Philip Gaudoin taught econometrics at Cambridge before moving into marketing analytics in 2005.” metametrics.co.uk ↗

Evidence: partly checkable — corroborated in part against the sources below; the remainder rests on the agency’s own account.

Strong — 4 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 10% of the total score.

Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Excellent 1 · Strong 5 · Adequate 10. The typical agency here scores Adequate, and 1 of them score higher than this one.

What this dimension measures: What arrives and how often: a one-off model, a refreshed quarterly model, a live dashboard, a decision workshop. A model delivered once and never refreshed is a snapshot of a market that has moved, and should be scored as the ceiling it is.

Scores high — Stated deliverables with a stated refresh cadence score 4-5.

Scores low — Undefined deliverables score 2.

What we found — The FAQ breaks a first project into 6-8 weeks: 3-4 weeks commissioning, collecting and validating data, 2-3 weeks modelling, 1-2 weeks presentation and follow-up, with an urgent turnaround possible in under a week when data is ready. RapidROI is offered as a faster, narrower bespoke model delivered in about a week. Outputs are a model plus interpretation and scenario simulation, surfaced through Meta-OS, a browser-delivered visualisation platform on Azure with a Project Explorer (sales and media contribution, ROI by channel) and an ROI Explorer (benchmarking across brands and media). Refresh is addressed rather than ignored: update within the year, April suggested so insights land before planning. Short of Excellent because the refresh is a recommendation, not a contracted cadence, and Meta-OS access terms and update frequency are not stated. That is the high band above, which is why it scored Strong.

On the record — “Meta-OS is a browser-delivered proprietary visualisation platform hosted on Azure, with a Project Explorer (sales and media contribution, ROI by channel) and an ROI Explorer (benchmarking across brands and media). No access terms, licence duration or refresh frequency are stated.” metametrics.co.uk ↗

On the record — “A first project runs about 6-8 weeks, split into 3-4 weeks data collection and validation, 2-3 weeks modelling and 1-2 weeks presentation; a model refresh is recommended within the year, with April suggested ahead of planning.” metametrics.co.uk ↗

deliverability — deliverability: whether cold email actually lands in the inbox rather than spam. The tell is infrastructure talk — warmed sending domains kept separate from your main domain — because a burned domain outlasts the engagement.

Evidence: vendor stated — the agency’s own claim, recorded as theirs rather than ours.

Weak — 2 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 10% of the total score.

Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Strong 2 · Adequate 3 · Weak 11. The typical agency here scores Weak, and 5 of them score higher than this one.

What this dimension measures: Note any minimum spend and whether the model licence continues after the engagement ends.

Scores high — Published fees, ranges, or a stated engagement structure with numbers score 4-5.

Scores low — A described structure without numbers scores 2-3. Bespoke-only with no anchor scores 1-2.

What we found — No fee, range, or engagement fee structure appears anywhere on the site, including the FAQ page where cost would be expected. The only number a buyer can use is a qualification threshold: 'we would say we'd need at least GBP 1-2 million in annual media spend' for econometrics to be worth doing. That is useful for self-selection but is not a price. Whether the client continues to hold or use the model, or retains Meta-OS access, after the engagement ends is not addressed anywhere. That is what the low band describes, which is why it scored Weak.

On the record — “A minimum viability threshold is stated: at least GBP 1-2 million in annual media spend. No fee, range or engagement price appears anywhere on the site.” metametrics.co.uk ↗

Evidence: verified — checked against a named source you can open; the links under Sources below are where to check it yourself.

Stronger here: Nepa scores Strong on the same dimension.

Weak — 2 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 5% of the total score.

Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Adequate 6 · Weak 10. The typical agency here scores Weak, and 6 of them score higher than this one.

What this dimension measures: Independent, verified reviews or checkable references. Low weight deliberately: measurement work sells through procurement and referral, so a thin public review footprint is normal and the method evidence above matters far more.

Scores low — A substantial verified base scores 4-5; a handful scores 2-3; none located scores 2.

What we found — No independent client review base was located. Searches surfaced no Clutch profile, no readable Google Business reviews, and no G2 listing for the UK firm. The only review corpus found was Glassdoor, which is employee feedback and is not client evidence, so no rating or count from it is cited here. The four named testimonials on the homepage are vendor-published and were not corroborated with the named individuals. A thin public review footprint is normal for measurement work sold through procurement and referral, which is why this dimension carries the lowest weight.

Evidence: inferred — our reading of indirect evidence, not a documented fact.