Most companies still use last-click attribution, where 100% of conversion credit goes to the last touchpoint. This is like giving all credit for a goal to the scorer, ignoring all the previous passes.
The last-click problem
With last-click attribution, you may be cutting budgets from channels that are essential to the buying journey. A lead may discover your brand on Instagram, research on Google, and convert through email — but only email gets credit.
Multi-touch attribution models
Linear — Distributes credit equally among all touchpoints. Simple but doesn't reflect the real importance of each interaction.
U-shaped (Position-based) — Gives more weight to the first and last touchpoint (40% each) and distributes 20% among intermediaries.
Data-driven — Uses machine learning to determine each touchpoint's weight based on historical data. Most accurate but requires data volume.
How to implement in practice
For multi-touch attribution to work, you need complete tracking across all channels. This includes: UTMs on all links, event tracking on the site, CRM integration, and cross-device tracking.
Tracy and multi-touch attribution
Tracy was built for multi-touch attribution. We automatically track all lead touchpoints, from the first ad to the final sale, and display the complete journey in a visual timeline.
Conclusion
Migrating to multi-touch attribution is essential for optimizing your marketing budget. Stop cutting channels that seem inefficient but are crucial to the buying journey.
