Attribution Spend-Waste Finder

The percentage of your marketing spend you can confidently tie to revenue or pipeline outcomes. A team running pure last-click attribution on UTM-tagged channels has high accuracy on those channels but 0% accuracy on dark-social, referral, and word-of-mouth — so their overall accuracy is often 40-60%.

Take the share of revenue your attribution model can confidently source to a specific channel. If 60% of closed-won deals have a clear first-touch channel in your dashboard, you're at ~60% accuracy. The rest is mis-attributed or unattributed.

Most teams have meaningful but recoverable waste — channels that look like they're working but actually aren't (over-credited because of last-touch bias), and channels that look weak but actually drive influence (under-credited because they touch buyers early in dark channels). Better attribution usually recovers 20-30% of waste; above that requires structural changes.

Real concern. ATT dropped paid-social attribution accuracy 30-50% (AppsFlyer 2023). Modern attribution tools compensate via server-side tracking, first-party data, and marketing-mix modeling. AMW Attribution uses all three to maintain accuracy under privacy constraints.

Marketing influence happening in untracked channels — Slack DMs, WhatsApp groups, podcasts, conferences, word-of-mouth. Estimated 40-60% of B2B buying influence happens here. Modern attribution attempts to surface these signals through buyer surveys, self-reported source fields, and predictive modeling.

Often yes — basic UTM-based dashboards can't handle the dark-funnel and multi-touch math required for meaningful recovery. AMW Attribution is built into AMW Suite and handles this natively. Talk to us for a setup that matches your current channel mix.