Analytics Ninja 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 Google Analytics audit page publishes an itemised method: page tagging / JavaScript review, subdomain and cross-domain configuration, account structure, campaign URL tagging, goals and funnels, internal site search, view-level filters, and ecommerce tracking validation. That is a real described procedure, not a black box, and the firm's stated centre of gravity is data quality and reliability. What is missing is a validation story of the kind this category turns on: no holdout, backtest, or reconciliation against an experiment is described anywhere, because no model is being sold. The closest published validation practice is a January 2026 blog post on monitoring and alerting for data pipelines, which is editorial content rather than a stated engagement deliverable. Method described, validation not evidenced: Adequate. That is between the two bands, which is why it scored Adequate.

On the record — “The Google Analytics audit page publishes an itemised audit method covering page tagging and JavaScript review, subdomain and cross-domain tracking, account structure, campaign URL tagging, goals and funnels, internal site search, view-level filters and ecommerce validation.” analytics-ninja.com ↗

On the record — “The site returns a genuine HTTP 404 for a nonsense path, so page content read from it corresponds to the URL requested.” analytics-ninja.com ↗

funnel — the path from stranger to customer — awareness at the top, purchase at the bottom. “Full-funnel” means owning the whole path, not one stage.

pipeline — the dollar value of open, qualified deals sales is working. “Pipeline created” ties marketing to money, where lead counts don’t.

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 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 — Measured absence, not a retrieval failure. The full services index lists ten services (GA audit, GA implementation, GTM implementation, dashboarding and reporting, data analysis, speaking and training, two Amplitude services, two Shopify services) and none is an experiment or causality service. The data analysis page describes finding insights and evaluating marketing initiative performance with no statistical method named, and the blog's recent posts are BigQuery, server-side GTM, consent and Shopify pixels. No geo holdout, matched-market design, PSA or ghost-ad test, switchback, MMM or attribution modelling appears on any page read. The mitigating fact is that they do not overclaim: nothing on the site presents correlation or last-click reporting as proven causality, so this sits at the top of the no-capability band rather than the overclaim band. That is what the low band describes, which is why it scored Weak.

On the record — “The services index lists ten services, all of them analytics implementation, auditing, reporting, analysis or training. None is marketing mix modelling, attribution modelling, incrementality testing, geo-lift or any other experiment design.” analytics-ninja.com ↗

On the record — “No media buying, PPC management or paid media service appears anywhere on the homepage, services index, about page or founder bio, so the firm does not buy the media it measures.” analytics-ninja.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: 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 — The client portfolio page is a logo wall described as a selected list of favourite clients, with no client named in text and no engagement, scope or outcome described for any of them. The testimonials page is stronger than the portfolio: quotes are attributed to named individuals with titles and employers, including a CMO and VP of Marketing at AAA Carolinas, the founder of CXL, and a recognised Google Developer Expert in the analytics field. That is attributable in a way an anonymous case study is not, but no engagement is described, no scale is stated, and no outcome is quantified anywhere on the site. Self-published attribution with no described work caps here. That is between the two bands, which is why it scored Adequate.

On the record — “The client portfolio page is a logo wall described as a selected list of favourite clients, with no client named in text, no engagement described and no outcome quantified.” analytics-ninja.com ↗

On the record — “Testimonials are attributed to named individuals with titles and employers, including a CMO and VP of Marketing at AAA Carolinas, the founder of CXL, and a Google Developer Expert, but they are self-published and link to no third-party review platform.” analytics-ninja.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.

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 independence question this dimension calls critical comes out clean. Across the homepage, the full services index, the about page and the founder's own bio page there is no media buying, PPC management or paid-media line of business: the firm implements and reports on measurement it does not also sell the media for, so it is not grading its own buying. The founder's bio notes he worked as a PPC manager for an employer before founding the firm in 2010, which is prior employment, not a current service line. Against that, the buyer-side data requirements are not specified: no page states what spend, conversion or channel data the client must supply, at what granularity, or what access is needed, beyond a free consultation form. Independence verified across pages, requirements undefined. That is the high band above, which is why it scored Strong.

On the record — “No media buying, PPC management or paid media service appears anywhere on the homepage, services index, about page or founder bio, so the firm does not buy the media it measures.” analytics-ninja.com ↗

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

Adequate — 3 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 6 · Adequate 9. The typical agency here scores Adequate, and 7 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 dashboarding and reporting page names four deliverable types (KPI dashboarding, custom periodic reporting, one-off reporting, and ecommerce reports covering merchandise, marketing and market sales) and names the tools used to build them: Google Data Studio, Tableau and Power BI. So the artefact is defined. Cadence is not: no refresh frequency, retainer structure, project duration, ongoing support model or SLA is stated on any page read, and custom periodic reporting is left to the buyer to define. The data analysis page offers to have a Ninja available for Q and A, which implies ongoing access without defining it. That is between the two bands, which is why it scored Adequate.

On the record — “The dashboarding page names four deliverable types (KPI dashboarding, custom periodic reporting, one-off reporting, ecommerce reports) and the tools used, but states no refresh cadence, retainer structure or support model.” analytics-ninja.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.

retainer — a fixed monthly fee regardless of hours or output — predictable, but worth tying to a defined scope.

SLA — service-level agreement: a contractual promise about speed or quality of delivery.

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, hourly rate, project minimum or engagement-size anchor appears on any of the pages read, including the services index, the audit page, the dashboarding page and the dedicated consultation page. Every commercial path terminates in a free consultation form asking for name, business email and how they can help. A buyer cannot form even an order-of-magnitude expectation before making contact. Bespoke-only with no anchor. That is what the low band describes, which is why it scored Weak.

On the record — “No fee, range, rate, minimum or engagement-size anchor is published on any page; every commercial path terminates in a free consultation contact form.” analytics-ninja.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 — No independent review base located or readable. The Clutch profile URL returns 404, no G2 listing for the firm was found, and searches surfaced only directory scrapes (Crunchbase, RocketReach, topseos) that carry no verified client reviews. The only references available are the testimonials hosted on the firm's own site, which are named but self-published and link to no third-party platform. Weight is low here by design, and a thin public review footprint is normal for measurement and analytics consultancies that sell through referral, so this is a gap in checkable evidence rather than a negative signal.

On the record — “Testimonials are attributed to named individuals with titles and employers, including a CMO and VP of Marketing at AAA Carolinas, the founder of CXL, and a Google Developer Expert, but they are self-published and link to no third-party review platform.” analytics-ninja.com ↗

On the record — “The site returns a genuine HTTP 404 for a nonsense path, so page content read from it corresponds to the URL requested.” analytics-ninja.com ↗

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