Campaign performance reporting

Campaign performance reporting is an automation that pulls the numbers from every marketing channel you run, paid ads, GA4 (your website analytics), email, social, and your CRM, into one plain-language weekly report. It covers what ran, what it cost, what it produced in leads and pipeline, the cost per result, and what changed since last week, with a line of commentary on what is worth a closer look. It does the pulling and stitching a person would do by hand every Monday, on a schedule, and hands you a summary instead of six open dashboards and a blank spreadsheet.

Each tool shows you its own slice: Meta shows Meta, GA4 shows traffic, the CRM shows deals. None of them show the whole picture, and none of them know what a lead is worth to you once it reaches the CRM. This sits on top of all of them. It pulls from every channel, reconciles figures the tools define differently into one set of numbers, and writes the summary and commentary a dashboard never will. You stop tabbing between six logins and reading a report that is already built.

The report is only as good as the tracking underneath it, and setup is where that gets sorted. Attribution just means deciding which channel gets credit for a lead or a sale, and different tools answer that differently, which is why their numbers rarely match. During implementation we agree on one definition of a lead, one of a conversion, and how credit is assigned, then reconcile the channels against what actually lands in your CRM. Every figure in the report traces back to the source it came from, so you can check it. Where the data genuinely cannot say, the report says so rather than guessing.

Yes. This is a reporting automation, not a decision engine. It gathers the numbers, reconciles them, and tells you plainly what ran, what it cost, what it produced, and what changed, with commentary that points at what looks off. A person still reads it and decides where to move budget, what to cut, and what to double down on. The point is to hand your marketer a clear, trustworthy read in fifteen minutes instead of half a day spent building it, so the time goes to the decision instead of the spreadsheet.

On the source side, the ad platforms (Meta Ads, Google Ads, LinkedIn Ads), GA4 for website analytics, your email tool such as Mailchimp, Klaviyo, or HubSpot, and your CRM such as Attio. On the delivery side, email, Slack, Google Sheets, or a Looker Studio view, wherever your team already looks. Most tools with an API can be added. The audit maps your exact stack and picks the channels and metrics that matter for how you actually run marketing.

Usually one to two weeks. The first days go to connecting your channels and agreeing on the definitions that make the numbers reconcile: what counts as a lead, how conversions are credited, which metrics belong in the report. Then it runs against a couple of real weeks so the figures and the commentary get checked against reality before anyone relies on the Monday report. You are live quickly, and that tuning window is what makes the report worth reading instead of another number dump to skim past.

Two parts. Tooling runs as a modest monthly cost for the connectors and the model usage, a range that scales with how many channels and how much history you pull. Implementation is a fixed scope, quoted once the audit maps your channels, your metric definitions, and where the report needs to land, so you are pricing a defined build rather than an open-ended retainer. The audit itself is where the scope and price get set against every other opportunity in your business, so you are not guessing at effort up front.