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Thomas Cornelius's avatar

💡 Love this breakdown, Kyle & Tim. Tim you are spot on that campaign-level attribution is the non-negotiable bedrock —without it, every optimization is a guess.

But once you lock in that campaign lens, the next iceberg is the anonymous gap: all the pre-login clicks that never tie back to a revenue record. That’s where even perfect attribution models still leak budget.

Retroactive identity stitching fixes the hole: the moment a visitor identifies themselves, you rewrite their entire anonymous history onto the contact record—no lag, no re-imports.

Suddenly:

- Multi-touch models are fed the full journey, so budget shifts confidently.

- Dashboard cohorts stop fragmenting when users convert.

- Reps open CRM and feel like they’ve read the prospect’s diary.

If anyone’s wrestling with the anonymous gap, I unpacked the playbook (and the ClickHouse tricks that make it instant) here 👉 https:/www.graph8.com/attribution.

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Vik's avatar
8dEdited

Great article! My main issue with UTM- and click-based attribution—and most attribution tools in general—is that they assume something is impactful just because it can be measured. I’m a big fan of self-reported attribution, and my go-to is analyzing win-paths and loss-paths. Every quarter, run a structured lookback on closed-won and closed-lost deals, using a mix of surveys and interviews to assess impact of GTM touchpoints across the full buying journey (e.g., including post-opportunity motions like custom demo, tailored ROI business cases, etc.). This approach works especially well in Enterprise B2B and long sales cycles, though it becomes resource-heavy if you’re closing 100+ deals a quarter.

For the next quarter, do more of the things that were impactful less of other stuff.

There are some promising tech solutions emerging in this space, but I think it will take time before they can truly replicate this depth of insight.

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