Why Your Marketing Attribution Models Are Blind to Boosted Posts

Failed to add items

Sorry, we are unable to add the item because your shopping cart is already at capacity.

Add to basket failed.

Please try again later

Add to wishlist failed.

Please try again later

Remove from wishlist failed.

Please try again later

Adding to library failed

Please try again

Follow podcast failed

Unfollow podcast failed

Why Your Marketing Attribution Models Are Blind to Boosted Posts

Listen for free

View show details

In this episode, Lucas and Luna dig into a blind spot that most marketing attribution models share: how they handle boosted social posts. Lucas explains why major platforms like Instagram and Facebook treat boosted posts as ads in their reporting dashboards, but most attribution platforms—including popular ones like HubSpot and Google Analytics—lump them in with organic content. The result? Marketers see inflated organic engagement numbers, undercount the true cost of paid reach, and make bad budget allocation decisions. Lucas walks through a concrete example from a DTC skincare brand that discovered 40% of its 'organic' traffic was actually coming from $25-a-day boosted posts, leading it to pull $15,000 from a proven ad channel because the data looked like organic was winning. The hosts discuss why this happens, how to fix it with UTM tagging and platform-specific filters, and why the rise of 'dark social' makes the problem worse. A must-listen for anyone running social media campaigns and trusting their attribution dashboards. #MarketingAttribution #BoostedPosts #SocialMediaAds #UTMTagging #DarkSocial #HubSpot #GoogleAnalytics #InstagramMarketing #FacebookAds #PaidVsOrganic #MarketingAnalytics #DataBlindSpots #DTCMarketing #AttributionModeling #BusinessPodcast #FexingoBusiness #MarketingPodcast #TheMarketingOperator Keep every episode free: buymeacoffee.com/fexingo

No reviews yet