Subscribe to DTC Newsletter - https://dtcnews.link/signupMost brands test YouTube, don’t see conversions, and shut it off.The problem isn’t the channel. It’s how they’re measuring it.Dougie from Pilothouse breaks down how YouTube actually drives growth for DTC brands, and why cost per brand search is one of the most useful signals to track early.For DTC founders and growth marketers spending $50K+/month and looking for a channel beyond Meta.What we get into:Why conversions lag on YouTube The 4-week window to judge early performance How cost per brand search shows real intent Budget levels needed to generate signal Targeting mistakes that kill campaigns Who this is for:Brands hitting a ceiling on Meta and testing new acquisition channelsWhat to steal:Track brand search before and after launching YouTube Use cost per brand search to judge efficiency Run geo tests to validate lift Timestamps0:00 YouTube as awareness vs conversion channel2:00 Why DTC brands fail testing YouTube4:00 Creative and audience readiness for YouTube6:00 Why YouTube attribution is broken8:00 Cost per brand search as key metric10:00 YouTube campaign setup basics12:00 Targeting mistakes and audience signals14:00 Excluding existing customers properly16:00 Setting expectations and measuring success18:00 Budget requirements and testing timelines20:00 Fixing struggling YouTube accounts22:00 Low quality placements and wasted spend24:00 Creative strategy and frequency on YouTube26:00 The first 5 seconds rule for adsSubscribe to DTC Newsletter - https://dtcnews.link/signupAdvertise on DTC - https://dtcnews.link/advertiseWork with Pilothouse - https://www.pilothouse.co/?utm_source=AKNF603Follow us on Instagram & Twitter - @dtcnewsletterWatch this interview on YouTube - https://dtcnews.link/video
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Ep 607: Rufus Reads Your Images – Why 40% of Amazon Searches Are Already AI-Driven
Ep 606: How Coyuchi Tested True Meta Incrementality (6-Week Blackout Results)
Ep 605: Meta Attribution Change – Why ROAS Dropped 40%
Bonus: How DTC Brands Scale Affiliate Marketing Without Fraud or Bad Attribution
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