AI-Powered Channel Analysis
Marketing attribution using artificial intelligence analyzes the impact of various marketing touchpoints on conversion. From multi-touch attribution to ML models, from credit assignment to optimization – AI can significantly improve understanding of marketing channel effectiveness.
What it is: First Touch Attribution
Method: 100% Credit to Last Interaction
AI role: Automated Calculation
Result: Simple Attribution
What it is: ML-Based Attribution
Method: Machine learning models
AI role: Automatic Attribution
Frequently asked questions
How can AI be used for attribution?
AI can analyze all touchpoints in the customer journey and automatically distribute credit between them. It can account for complex interactions and automatically calculate attribution.
What do ML models use to attribute?
ML models use data from every customer interaction, including website visits, email opens, social media engagement, and offline purchases, to determine the contribution of each touchpoint.
Which attribution model is best?
The best model depends on your goals and the complexity of the journey. Multi-touch or ML-based models are typically more accurate than first-touch or last-touch. AI can recommend the optimal model for your data.
▶ Try it live
Everything above runs in your browser — open Earthquake Wave Propagation Simulation and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.