SalesboxAI
    Metrics

    Multi-Touch Attribution

    A method of measuring marketing effectiveness by assigning credit to multiple touchpoints in the buyer journey.

    Multi-Touch Attribution (MTA) is an analytics approach that assigns credit to multiple marketing touchpoints along the customer journey.

    **Common Attribution Models:**

    • **First-Touch**: 100% credit to first interaction • **Last-Touch**: 100% credit to last interaction before conversion • **Linear**: Equal credit to all touchpoints • **Time-Decay**: More credit to recent touchpoints • **U-Shaped**: 40% to first, 40% to lead creation, 20% distributed • **W-Shaped**: Adds weight to opportunity creation touchpoint • **Custom/Algorithmic**: Data-driven credit assignment

    **Attribution Challenges in B2B:**

    • Long, complex sales cycles • Multiple stakeholders per account • Offline touchpoints (calls, events) • Anonymous website visitors • Cookie deprecation and privacy regulations

    **Moving Beyond MTA:**

    • **Account-Based Attribution**: Tracks all touches at the account level • **Marketing Mix Modeling**: Statistical analysis of channel impact • **Incrementality Testing**: Controlled experiments to measure lift • **Self-Reported Attribution**: Asking customers how they found you

    **Best Practice:**

    Use multiple attribution views. No single model tells the complete story. Combine attribution data with qualitative insights for a full picture of marketing impact.

    Want to Learn More About Multi-Touch Attribution?

    See how SalesboxAI helps B2B teams put these concepts into action.