eyko Ideas
Journey credit gets assigned by last-touch by default and miscredits the work earlier in the journey. A Journey Attribution Mapping Playbook reads full journey paths and outcome correlation to distribute credit across touchpoints by contribution.
The Challenge
Default attribution gives 100% of credit to the last touchpoint before conversion. The journey work earlier in the funnel that built awareness, generated consideration, and warmed the prospect gets zero credit. The closing touchpoint looks like the only thing that worked.
First-touch attribution swings the other direction and gives 100% to the introduction touchpoint. The mid-journey work that progressed the prospect and the closing work that landed the deal both get zero. Neither single-touch model reflects how journeys actually convert.
Marketing budget gets allocated against the attribution model in use. Last-touch attribution shifts spend to bottom-funnel motions; first-touch shifts it to top-funnel. The actual contribution mix gets ignored, and the journey-balance that drives conversion suffers.
How eyko Solves It
A Journey Attribution Mapping Playbook reads full journey paths across every converted opportunity, builds path-pattern clusters, and runs outcome-correlation analysis to distribute credit across touchpoints by contribution rather than position. It surfaces touchpoints that drove the conversion versus touchpoints that were present but non-causal, and recommends budget reallocation that matches the actual contribution mix.
The Playbook mapped attribution across 1,840 converted opportunities over the past 4 quarters. Multi-touch attribution shifted credit materially: paid search shifted from 38% (last-touch) to 22% (contribution). Content marketing shifted from 8% (last-touch) to 24% (contribution). Events shifted from 12% to 18%. Outbound shifted from 22% to 14%. Total credit redistribution: 34% of the original allocation.
| Metric | Current | Benchmark | Status |
|---|---|---|---|
| Primary indicator | Flagged | Target | Action needed |
| Secondary indicator | Monitoring | Within range | On track |
| Trend direction | Declining | Stable | Review required |
Journey Attribution Mapping reads full journey paths across every converted opportunity, builds path-pattern clusters, and runs outcome-correlation analysis to distribute credit across touchpoints by contribution rather than position. The Playbook surfaces touchpoints that drove the conversion versus touchpoints that were present but non-causal, and recommends budget reallocation that matches the actual contribution mix.
Related Ideas



FAQ
Everything you need to know about Journey Attribution Map.
Journey Attribution Mapping is an AI-driven distribution of conversion credit across journey touchpoints by contribution rather than position. The Playbook reads full journey paths across every converted opportunity, builds path-pattern clusters, runs outcome-correlation analysis, and surfaces touchpoints that drove the conversion versus touchpoints that were present but non-causal.
The Playbook reads from your CRM (full touchpoint history per opportunity, conversion outcome), marketing automation (campaign touches, content interactions), ad platforms (paid touch data), and event data (event-attended status). At least 4 quarters of paired full-journey-and-conversion data anchors the attribution.
Last-touch and first-touch are position-based: they assign 100% credit to a single touchpoint based on position in the journey. Journey Attribution Mapping is contribution-based: it distributes credit across all touchpoints by their actual correlation with conversion. The two approaches diverge sharply when journeys are multi-touch (which most B2B journeys are).
Yes. For each channel the Playbook compares position-based credit to contribution-based credit and recommends budget reallocation. Channels that gain credit get budget shifted to them; channels that lose credit get budget shifted away. Each recommendation projects pipeline impact based on the contribution-versus-cost mix.
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