Interactive Labs

Practical demos and experiments showing how attribution, automation, data infrastructure, and AI systems work in real operating environments.

Attribution Models: Understanding Multi-Touch Impact

Last-click attribution (what Google Analytics shows you) gives 100% credit to the final touchpoint. Compare it to multi-touch attribution to see the full customer journey.

Last-Click Attribution

Total Revenue: $500,000

Credits only the final touchpoint before conversion. This creates incomplete visibility into channel performance.

Email
$230,000
23.0x ROAS
46%
Google Search
$165,000
3.3x ROAS
33%
LinkedIn Ad
$70,000
0.9x ROAS
14%
Website
$35,000
1.8x ROAS
7%
Podcast
$0
0.0x ROAS
0%

Key Difference

Illustrative example based on the sample journeys above — not a specific client's results

Last-click attribution credits Email with $230,000 — because it was the final touchpoint before most conversions.

Multi-touch attribution shows Email actually contributed $83,333 when credit is distributed across the full journey. Meanwhile, LinkedIn Ad — which rarely appeared last — contributed $164,167.

Budget decisions made from last-click data would over-invest in Email and undervalue LinkedIn Ad. Multi-touch attribution shows how channels work together across the full conversion path.

Real Customer Journeys (Sample of 10)

CUSTOMER #1$50,000
LinkedIn Ad
Google Search← gets 100%
Demo
CUSTOMER #2$75,000
Podcast
LinkedIn Ad
Email← gets 100%
Demo
CUSTOMER #3$30,000
Google Search← gets 100%
Demo
CUSTOMER #4$60,000
LinkedIn Ad
Website
Email← gets 100%
Demo
CUSTOMER #5$45,000
Podcast
LinkedIn Ad← gets 100%
Demo

Build Multi-Touch Attribution Systems

We design attribution models that track touchpoints across your stack, integrate with existing infrastructure, and provide visibility into channel contribution.

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What We're Exploring

These are internal experiments, demos, and working patterns we use to test infrastructure ideas before they become client systems.

  • Attribution modeling examples across multi-channel customer journeys
  • Data quality checks and pipeline validation patterns
  • Workflow automation patterns for common operational tasks
  • AI agent evaluation methods and reliability testing approaches
  • Reporting and decision-support prototypes

Build Infrastructure That Scales

We design data systems, attribution models, automation layers, and AI agents for operators at scaling companies.