We find the signal in the noise.

We fix what’s broken across your digital marketing and hand you the numbers and insights you can finally trust. A team of analysts, engineers and tracking specialists, supercharged by AI.

Less hair-pulling, more answers. Free review, no commitment.

Trusted by 50+ digital marketing agencies and in-house teams
Who we work with

The agencies and brands we work with

Performance, B2B, media, SEO, e-commerce and digital agencies plug us in alongside their teams. In-house teams get the analytics team they struggle to hire, up and running overnight to tackle whatever's needed.

Agencies

Axon Garside connective3 AKQA WPP Omnicom Cedar Boltahead Noisy Beast Robot Zebra Pixated Passionfruit Mediahub Incisive Media

In-house teams

Toyota Volvo Ada Ventures Preqin Heidi ElevateJet Octopus EV Illumicrate Tesco

Tools we work with

Google Analytics, Adobe Analytics, Mixpanel, Heap, Hotjar, Google Tag Manager, Google Ads, Meta, TikTok, LinkedIn, Amazon, Shopify, Klaviyo, HubSpot, Salesforce, BigQuery, Databricks, Snowflake, Supermetrics, Adverity, Funnel, Fivetran, Looker, Tableau, Power BI, and more.

Plus Sonar, our in-house automated tracking tool, and Surface, our automated insight and reporting tool, both built ourselves.

Problems we help with

Does this sound familiar?

The same data problems come up for almost every marketing team we meet, agency-side or in-house. They usually sound like this.

“We don't know if our tracking is right”

GA4 says one thing, Meta Ads says another and Shopify says a third. Nobody can explain the gaps, so nobody fully trusts any of the numbers.

“We can't prove ROI”

The board wants to know what marketing returned. The dashboards claim plenty, the bank account says less, and there's no defensible number in between.

“Reporting eats our week”

Gathering, reconciling and formatting the same numbers from every platform, every month, before anyone even gets to ask a useful question of them.

“We can't find or hire the analytics staff”

Analysts, data scientists and data engineers are slow to hire and expensive to keep, and one hire rarely covers all three skill sets.

“We're sitting on tonnes of data and still can't answer basic questions”

The data exists, somewhere, across GA4, the ad platforms, the CRM and the store. Linking it into one answer is the part nobody has time for.

For agencies

“We can't win, keep or upsell clients”

Without analytics we can lean on, we're not winning the pitch, keeping the clients we've got, or upselling the ones who stay. Good data is how an agency proves its worth.

In their words

What the teams we work with say

Agencies and in-house teams we plug into as their analytics bench, on what it's like to have us on the team.

Partnering with Dolphin Analytics resonates with us because it gives us extra capacity with heavily fluctuating demand in this current climate around new tracking implementation technologies. It's the offering of dealing with experts with a no-fuss approach. They're so valuable, solving our biggest pain points by providing on-demand expertise. In any agency setting there is always a lack of capacity for niche skilled expertise, and Dolphin Analytics provides that.
Alan Ng Chief Innovation Officer, Connective3 Marketing agency, 150 people
Working with Dolphin Analytics has been a pleasure. Olam and his team were brought on to help us work through client issues outside our usual area of operations. Their team worked seamlessly alongside Axon Garside for our clients. They led the project, identifying the solution swiftly, before developing the fix and completing the jobs rapidly. Dolphin Analytics' communication was great throughout, keeping my team updated. This is the beginning of a fruitful business relationship between both businesses.
Spencer Monagu Marketing Director, Axon Garside B2B marketing agency, 20 people
Olam and his team joined us when our product analytics was still in its infancy. Within weeks they'd resolved a host of issues with our Heap events and reports, giving us a much clearer picture of how customers used the platform. They then helped our product and UX team embed a framework for experimentation, so we could validate ideas and deliver value far more quickly: a real step change in how we build products. Olam is a genuine people person, and his collaborative approach was hugely appreciated. I extended the engagement numerous times and am hugely grateful for the change he helped enact.
Jack Levy Head of Product, Preqin In-house product team
Data can be complex and, more often, it is made unnecessarily so by the people within it. However, Dolphin Analytics' skill is in understanding what's possible, what's necessary, and making that easily understood and implemented. It's rare to have such consistently good and reliable data expertise, but Dolphin Analytics always delivers.
Dino Myers-Lamptey Managing Director, Mediahub Marketing agency, 500 people
Dolphin Analytics joined our team and quickly became a valuable asset that we wanted to extend onto other projects. They are able to think critically, stay solutions-oriented, and know how to work with others, bringing their expertise and point of view on data and analytics. Beyond the technical skill across various analytics tools, they have broad experience with different types of analysis, which makes them able to step up to different challenges.
Payam Cherchian Data & Analytics Director, AKQA (now EssenceMediacom) Web & design agency, 40 people
We turned to Dolphin Analytics when we had a data project we needed specialist input on. The team took time to understand our challenges, ambition and the nuances of our business to propose a bespoke solution. They broke down complex processes in a way we could communicate across our teams and clients to build into our roadmap.
Joe Costello Global Strategy & Insights Director, Cedar

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What we do

Five things we do, one way we do them

Tracking, Insight and Reporting lead, following the natural data journey: capture it right, understand it, prove it. Compliance and Experimentation support the three. And we do all five the new way.

Tracking

capture it right

Audits, set-ups, fixes and server-side tracking across GA4, Google Tag Manager and the ad platform pixels that feed your optimisation.

Insight

understand it

Marketing, web and app optimisation: which platform to trust, which channel drives revenue, what to do next.

Reporting

prove it

Automated dashboards and reports that prove ROI without eating your week.

Revenue Surface
GA4
META ADS
SHOPIFY

One answer

£142,380

Compliance

GDPR and cookie audits, consent set-up and GRC. Compliant tracking and accurate tracking are the same job done properly.

Experimentation

Test and learn: CRO and A/B testing that turn insight into revenue.

Years of doing this by hand for 50+ agencies and brands taught us what needs automating. So we built the tools that do it:

How · the new way

We do all five the new way.

We've spent years doing this work by hand: the audits, the reconciliations, the monthly reports. So we built tools that automate it, for tracking, insight and reporting alike. That's the new way, and it's the difference below. Scroll, or drag the line, to compare.

The old way

months of setup · a week of grind every month

GA4Meta AdsShopifySheetsSheets (2)SupermetricsLookerBigQuery+6
master_report_FINAL_v9(2).xlsx
ABCD1GA4 rev£48,120Meta rev£61,4002Shopify£43,900diff?#REF!3=VLOOKUP(A2,#N/A#REF!4true rev??≈ £51k?ask DaveTODO
  • 14 tabs open to build one report
  • 5 tools that don't talk to each other
  • a week of copy-paste, every month
  • months of setup before you see anything
  • three revenue numbers, no truth
  • frustrating for everyone involved

The new way

days to set up · seconds to answer

GA4ADSCRMSTOREEMAILAPP

One database

connected once

Which channel actually drove revenue last month?

Email: £142,380 at 8.9% conversion, 3–4x every other channel. Paid social is your weakest spend.

✓ validated to source · answered in seconds

Tracking · watched 24/7

meta pixel dropped on /checkout → ✗ caught✓ fixed in minutes

  • set up in days, not months
  • one database, connected once
  • answers in seconds, in plain English
  • zero copy-paste: reports build themselves
  • one number, validated to source
  • a team that finally trusts the data

And we keep building: whenever a client's stack needs a new connector or tool, we make it.

Some of our results

Results that add up

Dolphin Analytics has helped an agency avoid exposure to a potential GDPR fine of up to €20M, saved a media agency 20 hours a week on reporting, and shown brands which of their ad numbers reflect reality.

For agencies

Connective3 · Performance agency

A full analytics function, without a single hire.

20+

projects delivered · 5 clients

Tracking, visualisation and insight delivered across their client roster, helping keep retainers worth multiple six figures combined.

How: embedded team · tracking fixes · Piano Analytics · dashboards

Toyota · via AKQA

The funnel stopped leaking after insight and experiments.

3x

conversion rate after the repaired journey

People were dropping out through hidden gaps in the journey. The work found the weak points, closed them with experiments, and kept more of the same traffic moving to the end.

How: insight · conversion funnel repair · experimentation

For brands

ElevateJet · Private aviation

Zero measurement to full data infrastructure.

<3 months

from zero to 8 channels wired

Tracking, CRM attribution, BigQuery and Looker dashboards from a standing start; their agency's performance finally provable, and a new partner onboarded on the evidence.

How: 3 sites → HubSpot · BigQuery + Looker · new-agency onboarding

Illumicrate · with Noisy Beast

Proof their ads convert, so they scaled with confidence.

+20%

waitlist growth, from the insights

Their dashboard claimed 32.8x ROAS. We proved what was real, made the waitlist measurable, and the insights that followed grew it by 20%, with the confirmed 4.7x still strong enough to pull more budget into Meta.

How: tracking rebuild · source of truth · channel insights

Heidi · Ski travel

No visibility to launch-ready dashboards.

2 months

zero to launch-ready dashboards

Looker Studio built from scratch for a team with no data resource, in time to run Black Friday on live numbers and see what to promote.

How: Looker Studio from scratch · launch support · no internal resource needed

About

The people who get it sorted

Senior analytics on tap: the person who has seen your problem before, and the specialists who make the fix hold. No months-long hire, no guesswork.

Olam Sule, Founder, Dolphin Analytics
Founder

The founder who learned it the hard way

Olam built his first site, ran ads behind it blind and had no way of knowing which ones worked. Answering that question properly became the career; over a decade of analytics experience later, it became Dolphin Analytics.

Olam Sule

Founder, Dolphin Analytics

The specialists you plug in

A globally distributed team that plugs into your agency or your in-house marketing team. Every skill set from day one, so you get the answers without building the function yourself.

  • 01

    Data analysts

    Read the data and find what actually matters.

  • 02

    Data scientists

    Model it and forecast what happens next.

  • 03

    Data engineers

    Build the pipelines so it all holds together.

  • 04

    Tracking specialists

    Fix the tracking so the numbers you act on are real.

Senior expertise on tap rather than a months-long hiring round. Engagements are founder-led, and the team scales behind them.

How we work

How does an engagement start?

Every Dolphin Analytics engagement starts with a free audit. Tell us what's going wrong with your data, by voice or text, and we come back with a considered response. From there it's a scoped project or an ongoing value-based retainer.

Step 01

Start with the free audit

Type or talk us through what's going wrong, what you've tried and why it hasn't worked. Three open questions, no booking forms, no sales call to sit through.

Step 02

We review and come back

We read the transcript, look at the problem properly and reply with a considered response: what's likely broken, what it's costing you and what we'd do about it. A call happens after that, if it's useful.

Step 03

Then, one of two paths

Pricing is value-based on both: you pay for the outcome, not the hours.

Path one

Project-based work

We fix one scoped thing.

For
Teams with a specific data problem to fix
You get
A defined outcome: a tracking rebuild, an attribution reconciliation, a reporting automation
Best if
You have one clear problem, not an ongoing need
Pricing
Value-based, scoped up front
Start your free audit
Path two

Value-based retainer

We run your analytics, ongoing.

For
Teams who need senior analytics capability on tap
You get
Ongoing managed analytics: tracking, insight and reporting, handled
Best if
Data is a continuous need and hiring in-house is slow or expensive
Pricing
Value-based monthly; senior expertise without a £300k+ hire
Start your free audit
Straight answers

The questions you're probably asking

The things agencies and marketing leads actually want to know before they let anyone near their data. Straight answers, no hedging.

Is our data safe with you?

Yes, and we put it in writing. Every engagement comes with a data processing agreement, and you keep the right to delete: if we part ways, whatever we hold gets erased. Where AI is involved, we work through LLM APIs that delete data within days and never train on it, with zero-data-retention and anonymisation available for sensitive work. Nothing leaves our hands without a human reviewing it first.

Can we trust numbers an AI touched?

Every figure is checked against the source data by a validator before anything ships, and a senior analyst owns it. That validator once caught a claimed 23% that was really 21.4%. The AI drafts; it never gets the final say.

Do you replace our team or our agency?

Neither has to move. We plug in alongside the team or agency you already have, or build the whole measurement function from scratch when there's nothing there yet. Agencies white-label us as their analytics arm; in-house teams get the capability they can't hire fast.

We've already got GA4 and dashboards. Why do we need you?

Having the tools isn't the same as trusting them. If your dashboards disagree with each other, that's the giveaway. We fix the tracking underneath so the numbers finally match, then make them readable.

Why not just hire someone?

To cover this properly you'd need an analyst, a data scientist and an engineer, plus months to find them. You plug all three in from day one, for a fraction of the standing cost of one senior hire.

You're cheaper than a consultancy. What's the catch?

No catch. AI now does the hours a person used to, so we charge for the outcome rather than the time. The saving is real, not a corner cut.

We've been burned by analytics people before.

Fair, and it's exactly why the front door is a free audit. You tell us what's wrong, we come back with what we'd do about it, and you see the quality of the thinking before you spend anything. The first paid step is fixed-scope, so the risk stays capped.

What happens after the free audit?

You get a considered written response within a few days: what looks broken, what it's costing you, and what we'd do next. If it makes sense, that becomes a scoped project or an ongoing retainer. If it doesn't, you keep the findings. A call only happens if it's useful.

How much access do you need?

Less than you'd think. Viewer access to the platforms in question is enough for the audit, and nothing changes in your accounts without agreeing it first.

Free audit

What's going wrong with your data?

Tell us, by voice or text. Three questions, a few minutes, no booking forms. We read every word, then come back with a considered response. A call comes after that, if it's useful.

  1. 01

    What's going wrong with your data right now?

    Tell us everything: the numbers you don't trust, the tracking you think is broken, and what you run it all on (GA4, Meta, Shopify, HubSpot, whatever's in the mix).

  2. 02

    What have you tried, and why hasn't it worked?

    Agencies, freelancers, internal fixes, tools you bought. Be honest about why it hasn't worked; that's the part that tells us what to do differently.

  3. 03

    How urgent is this, and what's it worth fixing?

    A deadline, a launch, spend you're scaling? And a ballpark budget if you have one; no idea is an honest answer too.

By voice or text, whichever's easier. We read every word and come back with a considered response; a call is the follow-up, never the front door. Prefer email? olam@dolphinanalytics.co.uk