How Marketing Attribution Misses Dark Social

Episode notes

Lucas and Luna dig into a massive blind spot in most attribution models: dark social - the private sharing of links via messaging apps, email, and direct messages that analytics tools cannot trace. Lucas explains how one DTC brand discovered that 40% of its referral traffic was landing on its site with no referrer data, then tracked down the source through surveys and UTM-coded share links. They discuss why Google Analytics defaults to classifying these visits as 'direct traffic,' inflating direct-channel performance, and how marketers can use shortened branded links, share-buttons with parameters, and cohort analysis to get closer to the real picture. The episode also covers the role of platforms like WhatsApp and iMessage in B2B purchase decisions. Lucas and Luna also touch on the ad-free mission of the podcast and how listener support keeps the show independent.

Related episodes across the Index

Other episodes covering the same guests and topics, from across The B2B Podcast Index.

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