Marketing Reporting & Attribution Implementation
Marketing Reporting & Attribution Implementation is a Marketing Hub engagement that builds reporting marketing can defend in front of the board: campaign performance, source and channel analytics, funnel conversion, and attribution appropriate to your tier and data. It is for teams that can report clicks and opens but not pipeline contribution.
The problem this solves
Marketing reports activity - sends, clicks, sessions - while leadership asks about revenue, and the gap between those two conversations is where marketing budgets get cut. Source data is inconsistent, campaign tagging is partial, and when someone finally asks which channels produce customers rather than contacts, the honest answer is a shrug backed by a spreadsheet.
How we work
Attribution is only as good as the trail contacts leave, so we begin with the plumbing: original source data corrected where possible, UTM and campaign conventions enforced going forward, and lifecycle timestamps stamped reliably - because funnel math without dates is fiction.
Then we build the reporting stack in layers: campaign reports tying assets to contacts and deals, channel and source performance against pipeline rather than traffic, funnel conversion between lifecycle stages with velocity, and attribution reporting at the depth your tier and data honestly support. Every report gets a written definition of what it counts, because attribution arguments are always definition arguments in disguise.
We finish by walking the dashboards with the people who will present them - a report marketing cannot explain under questioning is worse than no report.
Deliverables
- Source and campaign data plumbing fixes
- Campaign performance reports tied to contacts and pipeline
- Channel and source reporting against revenue outcomes
- Funnel conversion and velocity reporting between lifecycle stages
- Attribution reports matched to tier and data quality
- Metric definitions and presentation walkthrough
What buyers ask before scoping.
Which attribution model should we trust?
None of them alone - models are lenses, not verdicts. First-touch flatters acquisition channels, last-touch flatters whatever runs closest to the sale, multi-touch spreads credit more honestly but needs more data. We set up more than one lens where the tier allows and teach the team to read them comparatively, which beats false precision from a single model.
Our historical source data is a mess. Is attribution still possible?
Going forward, yes - that is most of the value anyway. We fix what is recoverable in history, mark the boundary where clean data starts, and build the conventions that keep it clean. Within one or two quarters you have trustworthy cohorts to report on. Rewriting the past completely is not on the menu, and we will not pretend otherwise.
Can marketing and sales reporting finally use the same numbers?
Yes, if they share definitions and both live in HubSpot data - which is precisely what we set up. The funnel reports in this module use the same lifecycle stages and deal data the sales dashboards read, so the Monday meeting argument shifts from whose number is right to what to do about it. That shift is the actual deliverable.
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Sounds like your situation?
30 minutes, your calendar, no slide deck. We tell you honestly whether this module fits.
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