Marketing Funnels — Clicks to Sales
Follow the click all the way to cash.
The path from an impression to a paid invoice, reconstructed end to end: click IDs captured at the source, sessions stitched across devices, leads matched to CRM records and orders matched back to the campaign that earned them. Every channel is measured on the revenue at the end of the funnel rather than the conversion event closest to it, and the platforms that each claim the same sale are reconciled against one definition.
Marketing Funnels reconstructs the path from impression to paid invoice: click IDs captured at the source, sessions stitched across devices, leads matched to CRM records, and orders matched back to the campaign that earned them, net of refunds and cancellations. Platform over-claim is quantified per channel, and server-side conversions feed back.
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The tension
The ad platforms report a total that is comfortably larger than your actual revenue, analytics reports a third number, and the CRM has no idea any of them exist. Somewhere between the click and the invoice the trail goes cold, so budget decisions get made on the last measurable thing rather than the thing that mattered.
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The shift
The funnel gets rebuilt as one continuous join. Click identifiers are captured before the cookie has a chance to expire, sessions and devices are stitched to a person, that person is matched to a CRM record or an order, and revenue — net of refunds — is attributed back to the campaign, ad set and creative that started it.
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The outcome
Cost per sale by campaign, not cost per form fill. Channels that looked cheap on platform-reported conversions get judged on what they actually banked, and the budget conversation moves from which dashboard to believe to which move to fund next.
What you get
Concrete, not fluff.
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Click-ID capture across every paid channel
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Cross-device and cross-session identity stitching
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Lead-to-order matching against your CRM or store
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Revenue attribution, net of refunds and cancellations
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Platform over-claim quantified per channel
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Server-side conversion feeds back to the ad platforms
How it works
Brief in, live campaign out.
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Capture the click
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Stitch the sessions
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Match to a person
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Join to the order
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Feed the platforms real outcomes
It loops — every cycle feeds the next.
The proof
A click is only evidence once it reaches an invoice.
Raw clicks resolving into matched people and matched people into closed orders — with the unattributable remainder shown rather than hidden.
A subscription business ran two channels at what looked like an identical cost per lead. Once leads were matched to paid invoices, one produced roughly twice the twelve-month revenue per lead of the other, and the cheaper-looking channel turned out to be the expensive one. Directional, not a named client.
FAQ
Frequently asked questions
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It is the join underneath attribution modeling. A model is a way of splitting credit between touchpoints; this is the record-level matching that gives the model something real to split. Buying the model first is how you end up with confident numbers built on unmatched rows.
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Yes, and that is largely why it exists. The join runs on first-party identifiers you capture yourself — click IDs, hashed emails, order references — kept in your warehouse. Nothing here depends on a third party being willing to track someone across the web.
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It depends on how much of the journey happens on surfaces you control. E-commerce checkouts match very high; long B2B cycles with offline steps match lower. We report the unmatched share openly rather than quietly reallocating it, because the size of the gap is itself a useful number.
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This produces the joined data; dashboards is where you look at it. Most accounts want both, but if the join is wrong the dashboard just displays the wrong number faster.
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Yes — that is the point of the last stage. Matched, deduplicated conversions are fed back server-side, so the optimizer bids toward closed revenue rather than toward whatever cheap event sat nearest the top of the funnel.