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Case study

One View

Every client. Every channel. One question away.

We built the platform that ends manual reporting, connects marketing spend to revenue, and lets anyone in the business get a straight answer in seconds. Built, delivered, and running today for an agency managing 250 client accounts.

Client

Marketing agency, 250 client accounts

Sector

Marketing & Advertising

Status

Live in production

250

client accounts running on it

Every

paid, organic and sales channel

Seconds

to an answer, from days

Zero

extra build for the next client

The problem

Your data is everywhere. Your answers are nowhere.

Every platform held a piece of the picture. Nothing held the whole thing, so people assembled it by hand, every time.

The same reports, rebuilt every month

Skilled people spend their week collecting numbers instead of interpreting them.

No single picture of a client

Nobody can see how one client performs across every channel without stitching files together.

Marketing return you cannot prove

Spend sits in one system and revenue in another, so what actually worked stays an opinion.

Every new client adds more work

Growth means more manual reporting hours, not just more revenue.

Answers that arrive too late

A question in a Monday meeting gets answered on Thursday, when it no longer matters.

None of this shows up as a line on the P&L. All of it shows up in margin.

The solution

One place. Every client. Any question.

We connected all of it once, kept it current on its own, and put a plain-English question box on top.

1

Connect

Every advertising, analytics and sales source plugs in once.

2

Unify

It all lands in one place, organised client by client.

3

Refresh

It updates itself every morning with nobody touching it.

4

Ask

Anyone types a question and gets the answer in seconds.

What plugs in

Google AdsMetaLinkedInMicrosoft AdsStackAdaptGoogle AnalyticsSearch ConsoleGoogle SheetsYour CRM

What changes

The same week, run two ways

TodayWith One View
Monthly reportingDays of manual collectionAlready done before you ask
A client asks a questionWait for an analyst to build itAnswered inside the meeting
Spend against revenueTwo systems that never meetOne number, per client
Winning a new clientMore reporting hours to absorbA setup entry, and nothing else
Something goes wrongNoticed at the next reportNoticed the same day

Nothing about the work changes. What changes is how much of it a person has to do.

The return

Where the money actually comes back

Four returns, and only one of them is about saving time.

Time returned

The reporting hours stop repeating. The same people cover more clients without working longer.

Revenue protected

Problems surface while there is still budget left to fix them, rather than after the month closes.

Growth without headcount

The next client you win costs almost nothing extra to service, so margin rises as you scale.

Value you can prove

Spend joined to revenue turns every renewal conversation into evidence rather than persuasion.

These returns are structural rather than measured. No hours-saved baseline was recorded beforehand, so we describe the shape of the return honestly rather than putting a figure on it.

Proof

Not a concept. Built, delivered and running.

Foundations

Secure, isolated data for every client, with controlled access throughout.

Every source connected

All advertising, analytics and search data flowing in daily, with history loaded.

Data made usable

Cleaned and organised so every figure is attributed to the right client.

Sales data joined in

Qualified leads and won deals sitting beside spend, ready for real attribution.

The question box

Live, and usable from the tools the team already has open.

Handed over

Tested, documented and transferred, with the team able to run it themselves.

What comes next

From answering questions to raising them

Today the platform answers questions. The next layers watch the numbers for the team, and put private AI to work on top of everything already unified.

It tells you, before you think to ask

The next layer watches every client and every metric that matters, continuously. When something moves, it works out whether it matters and speaks up, in the channels the team already reads, straight to the person who owns that account.

Your own AI workspace, on your own terms

A private workspace where the team puts leading AI models to work against their own data and tools, running on their own infrastructure with nothing handed to an outside platform. Assistants defined in plain language for the jobs the team repeats.

Stop assembling the answer. Just ask for it.

We design and build systems like this. If reporting effort grows every time you win a client, or you cannot show a client what their spend returned, it is a conversation worth having.