What is it about?
Our work identifies customer interactions which are most responsible for purchase in the B2B setting. We develop a novel deep learning framework to model purchase as a function of customer interactions and using the model identify the most relevant interactions.
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Why is it important?
- B2B customer journeys are very complex and difficult to study - Finding the main interactions helps in appropriate credit attribution - Can be used to plan future investments in the appropriate channels
Read the Original
This page is a summary of: Multi-touch Attribution for Complex B2B Customer Journeys using Temporal Convolutional Networks, April 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3487553.3524670.
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