Reporting · prove it

Is reporting eating your week?

Dolphin Analytics automates marketing reporting end to end: data pulled straight from GA4, Shopify, Meta Ads, Google Ads, Klaviyo and HubSpot, the narrative written in plain English, every number machine-checked against the source data, delivered on schedule. For one media agency, that meant 20 hours a week back.

Axon Garside connective3 AKQA WPP Omnicom Toyota Volvo Cedar Preqin Mediahub Tesco Heidi ElevateJet Illumicrate Octopus EV Noisy Beast Incisive Media Boltahead Robot Zebra Pixated Passionfruit Ada Ventures
20 hrs/week
Reporting time we gave back to a media agency by automating the loop end to end
£50K
Dashboard upsells the recovered time opened up for the same agency
Under 5 min
To generate a validated monthly report that used to take 4 to 6 hours by hand

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.

“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.

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.

“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.

If any of these sound like your week, start the free audit. Tell us what's going wrong, by voice or text, and we'll come back with what's actually broken and what it would take to fix.

What we actually do

The concrete work behind the pillar, in plain terms.

Automated monthly reporting

Reports that gather, reconcile and write themselves, with every number machine-checked against the source data before they reach you.

Dashboards your team actually uses

Live views built around the decisions you make, not the metrics that are easy to chart.

White-label reporting for agencies

We build and run it under your brand, inside your client relationships. Reporting becomes a retainer product instead of a weekly cost.

The pipes underneath

Data engineering where it's needed: BigQuery, connectors and the plumbing that keeps every report fed and every number traceable.

Get your week back from reporting

Tally it honestly: gathering exports, reconciling numbers that don't match, formatting, rewriting the same commentary, then doing it all again next month. For a media agency around the £250K mark (their size, not the fee), the answer was 20 hours a week. Automating that loop gave the hours back, opened up £50K in dashboard upsells and put the team back on strategy work.

Inside our own delivery the pattern repeats. Monthly client reports that took 4 to 6 hours each now generate in under 5 minutes, and around 90 hours of manual work is automated away every month.

Before · by hand

MON
TUE
WED
THU
FRI

20 hrs on reporting

After · automated

MON
TUE
WED
THU
FRI

under 5 min per report

The recovered time went to strategy and upsells

Reports that build themselves

Four steps: pull, generate, validate, deliver. Data comes straight from the platform APIs (GA4, Shopify, Meta Ads, Google Ads, Klaviyo, HubSpot), AI drafts the narrative in plain English, a validator checks every figure against the raw data, and the finished report lands on schedule. No export spreadsheets, no copy-paste step where the errors usually creep in.

Trust every number that ships

Only if every number is validated. Every number in a Dolphin Analytics report is machine-checked against the source data before it ships; when the narrative and the raw data disagree, the report is blocked rather than sent. The validator once caught a claimed 23% where the source said 21.4%. That's the kind of small drift that erodes trust in reporting, and it's exactly what the machine check exists to stop.

Report validator every number checked

Draft narrative

"Meta revenue up 23% month on month"

checked against source data 21.4%
Blocked · corrected before sending

A human analyst reviews every deliverable

Monthly report · page 1 readable unaided

What changed

Revenue up, driven by email and paid search

Why it changed

The new flows converted; prospecting held

What to do next

Shift budget to the proven flows

charts support the story; they aren't the story

Reports that drive decisions, not screenshots

Decisions, not screenshots. What changed, why it changed, and what to do next, written so the board or the client can read it unaided. Channel tables and trend charts support the story; they aren't the story. If a report needs the analyst in the room to make sense, the report isn't finished.

Turn reporting into an agency product

Reporting becomes a retainer product instead of a weekly cost. Dolphin Analytics runs it white-label under your brand, inside your existing client relationships: the media agency case above turned automated reporting into £50K of dashboard upsells, and a performance agency running Dolphin across 5 clients launched 2 new service offerings on top of the analytics function. Your team keeps the client; we keep the pipeline humming.

Your agency's logo Client report · May
runs underneath
Dolphin Analytics · white-label your client, kept

reporting becomes a retainer product, not a weekly cost

Revenue Surface
GA4
META ADS
SHOPIFY

One answer

£142,380

Where this is heading: the Reporting Platform

Ask your data questions in plain English, get validated answers. The Reporting Platform is the externalised version of the reporting and analysis tools we already run internally (see "How we use AI" on the home page), with the same machine-checked numbers underneath. It's in development rather than live, and there's nothing to buy yet. If reporting is the pain right now, start with the free audit and we'll look at automating yours the same way.

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 Montagu 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.
Joseph Costello Global Strategy & Insights Director, Cedar

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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 Meta was profitable, and the confidence to scale it.

5x ROAS

Confirmed against Shopify sales

We implemented a new tracking infrastructure and analysed performance across channels. The work confirmed Meta was profitable, giving the team confidence to increase spend and use better measurement to grow the waitlist.

How: full tracking setup · cross-channel analysis · profitable Meta spend confirmed

Heidi · Ski travel

From no visibility to launch-ready dashboards.

2 weeks

From zero to launch-ready dashboards

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

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

Prefer a product? Try Surface.

request beta

Surface is our analytics platform: the reporting pillar, productised. Reporting used to eat a week a month and still left three numbers that disagreed. Surface gives the week back and settles the argument.

  • Ask questions in plain English; live dashboards blend every platform
  • Reports write themselves; every figure validated against source
  • One database, one number, no more dashboards that disagree
Give Surface a go
Surface's Ask view: a plain-English question answered with figures computed from live rows
A Surface dashboard: campaigns ranked by spend, blended across paid accounts, validated against source
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 come back with a considered response. Sometimes a call helps us clarify the problem. Sometimes we need view-only access to the relevant systems to see what's happening for ourselves. We'll tell you what we need and why.

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

Frequently asked questions

How do we stop reporting eating the week?

Automate the gather, reconcile and format loop instead of staffing it. Dolphin Analytics saved a media agency 20 hours a week on reporting by automating it end to end; the recovered time went into strategy work and £50K of dashboard upsells.

Can automated marketing reports be trusted?

Only when every number is validated. Every number in a Dolphin Analytics report is machine-checked against the source data before it ships; when the narrative and the raw data disagree, the report is blocked rather than sent.

Can you white-label reporting for our agency?

Yes. Dolphin Analytics builds and runs reporting under your agency's brand, inside your existing client relationships. Agencies use it to turn reporting from a weekly cost into a retainer product; one media agency opened up £50K in dashboard upsells that way.

Do we need Looker Studio, Supermetrics or BigQuery for this?

Not necessarily. Looker Studio, Supermetrics and BigQuery are the established stack and they work, but they're slow to stand up and need ongoing maintenance. Dolphin Analytics pulls from the platforms directly and generates validated reports with AI, which is faster to launch and cheaper to run.

How do we prove marketing ROI to the board?

Report revenue the business recognises, not platform claims. Dolphin Analytics reconciles ad platform numbers against store and CRM records first, then reports on the confirmed figure, so the ROI number you present survives questioning.

When is the reporting platform launching?

The Reporting Platform is in development: ask your data questions in plain English and get answers validated against the source data. There is no launch date or buy button yet. Start with the free audit and we'll handle the reporting need directly in the meantime.

From the blog

All articles →

Where does your data stop making sense?

Talk it through or type it out. Three questions, a few minutes. We read every transcript ourselves and reply with how we can solve your problem.

No calendar. No sales script. We review every response before suggesting a call.

  1. 01

    Where is the problem showing up?

    Tell us which numbers you don't trust, what looks broken, and where you see it: GA4, Meta, Shopify, HubSpot, or somewhere else.

  2. 02

    What have you already tried?

    Include internal fixes, agencies, freelancers, or tools. What changed, what stayed broken, and why do you think it failed?

  3. 03

    What happens if it stays broken?

    Is there a deadline, launch, reporting cycle, or campaign spend at risk? Tell us what fixing it would change.