How to choose a revenue attribution model?
There is no one-size-fits-all solution for revenue attribution. Different models have different advantages and disadvantages, depending on your business goals, data availability, and analytical capabilities. However, you can broadly categorize revenue attribution models into two types: single-touch and multi-touch.
Single-touch models assign all the credit to one touchpoint, either the first or the last one. These models are simple and easy to implement, but they ignore the role of other touchpoints in the sales process. For example, if you use the first-touch model, you may overestimate the impact of your top-of-funnel marketing campaigns, while neglecting the influence of your sales activities and customer referrals.
Multi-touch models distribute the credit among multiple touchpoints, based on different rules or weights. These models are more complex and accurate, but they require more data and analysis. For example, if you use the linear model, you assign equal credit to each touchpoint, regardless of its position or importance. If you use the U-shaped model, you assign more credit to the first and last touchpoints, while splitting the remaining credit among the middle ones.
The best way to choose a revenue attribution model is to consider your business objectives, data quality, and analytical resources, and test different models to see which one provides the most relevant and actionable insights.