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PROOF

What came back

Every number with a person attached to it.

Cross-campaign performance joined back to the audience segment it came from, so the answer to "what worked" includes who it worked on.

One campaign, by who actually responded Platform reporting cannot show this row. 41% 28% 19% Your best customers 41% Regulars 28% Going quiet 19% Everyone else 12% Because the platform does not know which of these are your best.
One campaign, by who responded. Illustrative, not a screenshot.

What Analytics is

Analytics reports performance across your campaigns and joins it back to the audience segments the campaigns targeted. That join is the point: knowing a campaign returned a given number is much less useful than knowing which group of customers responded to it. Results are also written back into what the platform knows about your brand, so the next brief starts from what the last campaign learned rather than from a blank page.

The problem

Reporting tells you what happened, not who it happened to.

Platform reporting is organised around the platform: impressions, clicks, cost per result. None of it knows who your customers are, because it never had your segmentation. So the report tells you a campaign performed, without telling you it performed entirely among people who already buy from you every month, which would have changed what you did next.

What you get

What it reports

Cross-campaign view

Performance across campaigns and channels in one place, rather than four exports.

One view

Joined to segments

Which audience group actually responded, which is the part platform reporting cannot tell you.

The important join

Paid, organic and creator

All three in the same report, because that is the comparison people actually need.

Comparable at last

Written back

Results feed what the platform knows about your brand, so the next brief is better informed.

Closes the loop

In practice

A number with a person attached

The same campaign, broken out by who responded Your best customers 41% Regulars 28% Going quiet 19% Everyone else 12% Platform reporting cannot show this, because it never had your segmentation.
A campaign that performed well entirely among people who already buy every month is a different result from the same number spread across new customers. Only one of them is growth.

Results are written back into what the platform knows about your brand, so the next brief starts from what the last campaign learned rather than from someone remembering it.

Coverage

What it reports on

Source What comes back
Meta, Google, LinkedIn, PinterestPaid delivery, spend and results
Organic channelsReach and engagement on what you published
Influencer campaignsCreator performance, attached to the campaign
ShopifyOrders and revenue, which is what most of this is ultimately about
Google Analytics 4Sessions and conversions on your own site
Audience segmentsThe join that makes the rest of it mean something

Where it connects

What it feeds

  • Content Studio briefs the next campaign knowing what performed on that segment.
  • Audience Intelligence sharpens segment portraits with what those people actually responded to.
  • Budget Planner grounds the next allocation in your results rather than platform benchmarks.
  • Command Center surfaces the campaigns that need attention today.

Questions

Analytics, answered

Does this replace GA4?

No. It connects to GA4 and joins that data to campaigns and segments. GA4 remains the site analytics tool.

How far back does reporting go?

As far back as the connected sources will serve, which varies per platform.

Can we export?

Yes.

Does it do attribution modelling?

It reports what each source returns and joins it to your segments. We do not claim a proprietary attribution model, because most of them are assumptions with a confident interface.

See performance with the audience attached.

Connect a source on the call and see your own numbers joined to your own segments.

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