Independent Marketing Sciences 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 — Method is described at a conceptual level and the firm explicitly rejects black-box practice: the about pages contrast 'Our Analyses Are Open For Scrutiny' against 'A Black Box' and 'Models Are Built Bespoke' against competitors who 'Force Into A Predetermined & Automated Structure'. The MMM service page defines the model's scope (paid, earned and owned media plus price, promotions, seasonality and economics) and lists what it produces: sales decomposition, ROI by channel, diminishing returns and decay rates. What is absent everywhere on the site is a validation story - no holdout period, no backtesting, no reconciliation of the model against a live experiment, no stated assumptions and no named limitations. The FAQ, which is where a buyer would look, does not mention validation at all. Per the rubric this is a described method with no validation story. That is between the two bands, which is why it scored Adequate.

On the record — “No model validation content exists on the MMM service page: no holdout, backtesting, experimental reconciliation, stated assumptions or named limitations.” im-sciences.com ↗

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 20% of the total score.

Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Excellent 1 · Strong 6 · Adequate 5 · Weak 4. The typical agency here scores Adequate, and 1 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 — Geo testing is a named core service with its own page and a three-phase process (region identification, bespoke experiment design, monitoring and analysis), and the FAQ states 'A typical Geo-Test takes around six weeks from end to end'. A CEO-authored article on geo-test design failures names real experimental designs and real sources of bias: 'Techniques such as synthetic control methods or matched market testing frameworks can help identify region pairs where the pre-test period behaviour closely mirrors one another', 'Test and control regions need similar sales trends, customer profiles, seasonality and competitive dynamics before the campaign begins', and it defines media contamination as the tested channel bleeding geographically beyond the test area. That is named experiment design with described execution. Held short of Excellent because no power calculation, significance threshold or sample-size procedure is published, no completed test result is shown, and the site never states that geo results are used to calibrate or check the MMM - the two services sit side by side without a stated reconciliation. Notably the firm does not overclaim: the ecommerce attribution page speaks of econometric 'impact' and 'contribution' rather than proven causality. That is the high band above, which is why it scored Strong.

On the record — “Published geo-test design thinking names real experimental methods and biases: synthetic control and matched-market frameworks for pairing regions on pre-test behaviour, matching on sales trend, customer profile, seasonality and competitive dynamics, and media contamination from campaigns that cannot be ring-fenced geographically.” im-sciences.com ↗

On the record — “The attribution service avoids causal overclaim, framing output as econometric impact and contribution relative to last-click rather than as proven incrementality.” im-sciences.com ↗

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.

Weak — 2 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 6. The typical agency here scores Strong, and all 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 — No client is named anywhere I could read. The clients page introduces 'our diverse portfolio of well-known brands' and carries a wall of logos, but every logo resolves to an empty inline SVG placeholder with no readable name and no alt text, and the page itself returned HTTP 500 on repeated direct requests - so the names may exist behind that wall and I am recording that I could not view them rather than that they are absent. Setting that page aside, twelve other pages read first-hand contain no attributable engagement: no case study text, no client sector, no scale, no described project. The only outcome figure published is the FAQ's 'The average IMS project ROI for an MMM project is 30x times the project fee', which is unattributed and uncorroborated and is treated here as a vendor-stated number, not evidence. The rubric's 2-3 band is for anonymised case studies; here there are not yet even anonymised engagements described, only a logo wall I could not read. That is what the low band describes, which is why it scored Weak.

On the record — “The only published outcome number is an unattributed self-reported average: 'The average IMS project ROI for an MMM project is 30x times the project fee.' No client is named in connection with it.” im-sciences.com ↗

On the record — “The clients page could not be read reliably: it returned HTTP 500 on repeated direct requests, and when it did render, every client logo resolved to an empty inline SVG placeholder with no readable brand name. No client name was obtained from it.” im-sciences.com ↗

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

Stronger here: Ebiquity scores Excellent on the same dimension.

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 — Independence is the strongest checkable thing about this firm. It sells no media: across thirteen pages the service menu is modelling, testing and analytics only, with no media buying, planning or reselling line, so it is not grading its own buying. The positioning is explicit - 'complete independence from agency groups, and none of the punitive overhead costs' - and the founders are described as former IPG and WPP network executives who left to be 'independent partners'. This is corroborated off-site by an Alliance of Independent Agencies directory listing (independent-agency membership, 13 employees, founded 2019, Alex Vass founder/CEO). Data requirements are stated but only partly: an article on MMM fit says reliability 'hinges on the availability of detailed historical data on marketing expenditures and sales, ideally spanning at least two to three years', references spend and impressions data, and flags that MMM suits annual marketing spend 'upwards of a million pounds'. Granularity, channel-level detail, conversion data and file formats are not specified, which keeps this off the top band. That is the high band above, which is why it scored Strong.

On the record — “Independence from agency groups is the stated founding premise: 'complete independence from agency groups, and none of the punitive overhead costs', with founders described as former IPG and WPP network executives.” im-sciences.com ↗

On the record — “Partial data requirements are published: MMM reliability 'hinges on the availability of detailed historical data on marketing expenditures and sales, ideally spanning at least two to three years', with a suggested fit at annual marketing spend 'upwards of a million pounds'.” im-sciences.com ↗

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 is unusually specific for this category on timing and rhythm: 'Most first time projects take around eight weeks from receipt of all data' for MMM, six weeks for a geo test, and updates run faster on established processes. Cadence is stated - 'Typically, most clients undertake MMM once or twice per year' - which is an honest description of a periodically refreshed model rather than a live feed. Deliverables are named as a final project meeting 'loaded with actionable insights and recommendations' plus access to simulators and analytics tools, and forecasting/optimiser/BI tooling is a listed service line. Held below Excellent because the artefact itself is undefined: the buyer cannot tell whether they receive a report, a dashboard, the model, or a licence to a simulator, and refresh is described as what clients typically choose rather than as a contracted cadence. That is the high band above, which is why it scored Strong.

On the record — “Stated project timelines and cadence: MMM 'Most first time projects take around eight weeks from receipt of all data'; geo tests 'around six weeks from end to end'; 'Typically, most clients undertake MMM once or twice per year'.” im-sciences.com ↗

On the record — “The only published outcome number is an unattributed self-reported average: 'The average IMS project ROI for an MMM project is 30x times the project fee.' No client is named in connection with it.” im-sciences.com ↗

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, day rate or engagement minimum is published on any page read, including the FAQ and the contact page. The two numbers that touch commercials are not prices: 'upwards of a million pounds' is a qualification threshold on the buyer's own media spend, and '30x times the project fee' is a self-reported return multiple that implies a fee without disclosing one. No stated pricing structure with numbers, no minimum engagement size, and no statement about whether the model or the simulator remains licensed to the client after the project ends. That is what the low band describes, which is why it scored Weak.

On the record — “The only published outcome number is an unattributed self-reported average: 'The average IMS project ROI for an MMM project is 30x times the project fee.' No client is named in connection with it.” im-sciences.com ↗

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

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 — Searched for and did not locate a readable independent client review base: no Clutch profile, no G2 profile, no readable Google review page. What exists off-site is a company-data profile (Tracxn, ZoomInfo), a LinkedIn page, and an Alliance of Independent Agencies member listing that records two 2024 Buckinghamshire Business Awards (Innovation Business of the Year; Net Zero Ambition Company of the Year) - awards and directory entries, not client reviews. A Glassdoor page exists but is employee feedback and is excluded as client evidence. No ratings or counts are cited here because none were read first-hand. Low weight applies: a thin public review footprint is normal for procurement-sold measurement work.

On the record — “Third-party independent-agency directory listing corroborates independence, founding year 2019, 13 employees, named leadership (Alex Vass, David Lanham, Lucy Summerton, Luke Hamilton) and two 2024 Buckinghamshire Business Awards.” allindependentagencies.org ↗

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