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Most teams think their campaign data is good enough — until AI starts making stuff up. Drew Smith of Attributa breaks down exactly what campaign data needs to capture, why your data dictionary is now your #1 AI prerequisite, and which system decisions are quietly killing your attribution.
If you're in marketing ops, RevOps, or anywhere near campaign measurement, this one's essential viewing. Drew covers the three non-negotiable categories of campaign data (time series, categorization, method of engagement), why Salesforce parent campaigns are a trap, how HubSpot's architecture makes time-series attribution harder than it should be, and what "garbage in, garbage out" really means when AI is doing the reasoning.
🎙️ Speakers:
- Drew Smith, Founder & CEO at Attributa — https://www.linkedin.com/in/drewsmitty/
- Camela Thompson, Co-Host, RevOps Co-op — https://www.linkedin.com/in/camela-thompson/
Sponsored by HG Insights — real technographics, real spend intelligence, and real market signals so your territory design, segmentation, and ICP aren't based on guesswork.
🔗 Resources:
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Attributa: https://attributa.io
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HG Insights (episode sponsor): https://www.hginsights.com
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Related: https://www.revopscoop.com/podcast
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