Lead Attribution

Lead attribution assigns credit to the marketing or sales touch(es) that produced a lead — first touch, last touch, multi-touch — and decides where the next dollar of spend goes.

What is lead attribution?

Lead attribution is the practice of assigning credit for a lead, opportunity, or closed deal to the source(s) that influenced it. Models range from simple (first-touch, last-touch) to weighted (linear, time-decay, U-shaped) to data-driven (algorithmic credit assignment).

Why it matters

Drives every channel-level budget conversation
Wrong model = wrong investment; too last-touch and you under-invest in awareness, too first-touch and you under-invest in closing motions
The basis of all blended CAC analysis

Common models

First-touch: all credit to the first interaction; flatters awareness channels
Last-touch: all credit to the closing interaction; flatters conversion channels
Linear: equal credit to every touch
Time-decay: more credit to recent touches
U-shaped: 40/40/20 to first, last, and middle touches
Data-driven: ML model assigns credit per touch sequence

In 2026

Cookie deprecation and walled-garden pricing have made cross-channel attribution harder
First-party data + clean rooms + media-mix modeling fill the gap that pixel-based attribution used to fill

How TexAu helps

Tag every TexAu-sourced lead with the workflow + sequence + segment that produced it, so downstream attribution models have clean source data instead of "outbound" lumped into one bucket.