DG-301g · Module 1
Multi-Touch Attribution Models
3 min read
Multi-touch attribution distributes credit across all touchpoints in the buyer's journey. The question is how to distribute it. Linear models give equal credit to every touchpoint. Time-decay models give more credit to recent touchpoints. Position-based models give the most credit to the first and last touches with the remainder distributed to middle touches. Each model embodies an assumption about which touchpoints matter most.
- Linear Attribution Every touchpoint gets equal credit. A journey with ten touchpoints assigns 10% to each. The strength: no single channel is systematically favored. The weakness: it assumes all touchpoints are equally important, which is rarely true. The demo request that triggered a meeting is probably more important than the blog post read four months ago.
- Time-Decay Attribution Recent touchpoints get more credit than earlier ones. A touchpoint one day before conversion gets significantly more credit than a touchpoint 90 days before conversion. The strength: it captures the intuition that recent interactions are more influential. The weakness: it undervalues the brand-building and awareness activities that made the prospect receptive.
- W-Shaped Attribution Three key moments each receive 30% credit: first touch (how the prospect found you), lead creation (when they first identified themselves), and opportunity creation (when the deal entered the pipeline). The remaining 10% is distributed across other touchpoints. The strength: it credits the moments that matter most in B2B buying. The weakness: it requires accurate tracking of all three key moments.