Interstate Multi-Touch Funnel Audits: Decoding Signal Crossroads
Every multi-touch funnel audit eventually hits a signal crossroads. The user clicked an ad on LinkedIn, searched your brand on mobile two hours later, then converted on desktop after an email. Standard models assign fractional credit, but the path itself is riddled with gaps: missing UTMs, ad blockers, cross-device mismatches. This guide is for analysts and optimization managers who need to audit those crossroads—not a beginner primer on attribution models, but a diagnostic framework for signal integrity. We assume you already know the difference between first-touch, last-touch, and time-decay models. What we cover is how to test whether your attribution data actually supports those models. The core problem is that most funnels are built on incomplete signals: sessions that don't stitch, touchpoints that get swallowed by walled gardens, and offline events that never reach the analytics pipeline. Without a systematic audit, you're optimizing against noise.