DTC Podcast Ep 556 Summary
Title: Fix These YouTube Targeting Mistakes to Stop Wasting Money Building Top of Funnel Awareness
Date: October 31, 2025
Host: DTC Newsletter and Podcast
Guest: Dougie (Leads Google team at Pilothouse)
Main Theme & Purpose
This episode dives deep into the common mistakes direct-to-consumer (DTC) brands make when running YouTube ad campaigns for top-of-funnel awareness. The conversation centers on why many advertisers are not reaching their intended audiences, practical tips to fix targeting, audit steps, and strategies to avoid wasting money on irrelevant impressions. Dougie brings agency-proven data and granular insights drawn from platform audits and campaign management.
Key Discussion Points & Insights
1. The Core Targeting Problem on YouTube
- Many advertisers are not reaching who they think they are targeting. Misalignments occur frequently in upper funnel YouTube campaigns, particularly within demand gen campaigns.
- "People are not targeting who they think they're targeting in a large variety of scenarios, auditing different players in the space." (A, 00:00)
- There's a sneaky setting in demand gen campaigns at the ad group level that can automatically override demographic targeting, leading to major discrepancies between desired and actual audiences.
- "There's a box to tick... advertisers are going to have their eyes opened when they see their significant discrepancies." (A, 00:00, 05:10)
2. Children & Misaligned Content
- Devices are often shared in households, which means ads ostensibly targeted at adults can instead reach children—e.g., if kids are watching content on a parent’s device, your campaign might be wasting impressions.
- "Google doesn't have a good way to distinguish when... a parent is using a device versus [their] child." (A, 02:31)
- Excluding gaming, passive, or "fall asleep" content from targeting is vital to reduce this low-quality traffic.
- Custom lists of placements, topics, and keywords for exclusions are essential.
- "We are not serving on gaming content... [It's] not particularly aligned content." (A, 02:31)
- "Placement exclusions are one keyword exclusions as well. They work in a different way than negative keywords do on search." (A, 04:10)
Memorable Moment: Dougie gives an everyday example:
"You might be targeting Joe from Montana and he's 48, but... his daughters are using the device and you result in serving impressions to that user, that child, which is not particularly approval." (A, 02:31)
3. The “Sneaky Setting” in Demand Gen Campaigns
- Even when advertisers believe they're targeting specific demographics (e.g., affluent females 44–54), Google’s default "optimized targeting" and auto-override options can redirect impressions to misaligned groups (such as teenagers or men).
- "There is a sneaky setting in demand gen campaigns... it's automatically enabled... we've ended up targeting towards males instead for a great portion of impressions." (A, 05:10)
- These misalignments can persist for months or years without regular audits.
4. Aligning Audiences with Actual Converters
- Cross-referencing upper-funnel targets with actual converter demographics using Google’s audience manager reveals frequent discrepancies.
- Advice: Upload a customer match list or use the all converters audience to compare demographics in Audience Manager/Data Insights.
- "Google will actually provide you the breakdown of your demographic... cross referencing that existing audience data... with the data your top of funnel campaigns are serving to." (A, 06:40)
- Misaligned income brackets: Low CPV traffic often attracts lower-income brackets, which may not be relevant for high AOV or luxury purchases.
5. Exclusions and Google’s “Leakiness” on New Customers
- Google’s native distinction between new and returning customers is not airtight. Relying only on audience-level exclusions is insufficient.
- A better method is optimizing at the conversion goal level for net new customer acquisition.
- "We were able to increase new customers by 50%... at a lower end CAC... by telling Google to only count conversion value from a new customer purchase." (A, 08:21)
Notable Quote:
"I'm of the opinion that Google... in terms of differentiating new versus returning customers is not particularly accurate." (A, 08:21)
6. Advanced CSV/CML Match Tactics
- Discussed testing separate data columns for customer match uploads, possibly improving match rates.
- While based on Meta anecdotes, this might have value when uploading to Google as well.
- "There would be potential applicability worth a test in uploading that customer match list with each of those individually as opposed to all under one." (A, 10:48)
7. Leveraging Google Audience Insights
- Uploading customer match lists and analyzing Google’s data insights offers a reality-check vs. brand assumptions—helping steer targeting more accurately.
- "What kind of audiences do we want to layer in... on YouTube targeting or Meta or elsewhere... it's just a generally useful snapshot of data." (A, 11:23)
8. The Evolving Role of YouTube in the Funnel
- YouTube's prominence for both "demand gen" (conversion-focused) and pure "awareness" is increasing as the search landscape changes and search saturates.
- "Part of it is that I think the search landscape is changing... We are definitely investing more in YouTube now than we ever have before." (A, 13:26)
- Attribution improvements: Google now provides more platform comparable metrics for awareness, but traditional last-click attribution often fails to credit YouTube appropriately.
9. Brand Lift Studies and Measuring Awareness
- Google offers "Brand Lift" studies (survey-based), but Dougie is skeptical of their accuracy.
- "I'm of the opinion that it's just not a strong way to indicate lift... I do think measuring brand search... is much more useful." (A, 16:29)
- Observing behavior (brand search volume, retargeting audiences, site engagement) is often more reliable.
10. Narrower Geo-Targeting for Measurability
- Running awareness campaigns in smaller, focused geographies simplifies measuring uplift and campaign impact, especially for brands with low budgets.
- "It's much easier to measure your impact when you're launching awareness in focused pockets of GEOs... even at the municipal level." (A, 18:05)
11. Step-by-Step: How to Audit Your Top-of-Funnel YouTube Campaigns
(Actionable Checklist at 19:30)
- Go to your Audience Report for upper-funnel campaigns.
- Check actual served demographics vs. target demographics.
- Compare these with your all-customers or converters' demo over the last 90 days.
- Look for misalignment: Are upper-funnel impressions aligned with who actually buys?
- Watch for trends such as over-serving to the wrong gender or low-income brackets.
- Recognize that low CPV/CPC traffic often means low-quality leads that can dilute retargeting audiences.
"I think there will be cases where you’re targeting almost entirely the wrong gender... you’re going to get... higher AOV brands inundated with the lower 50% of household income bracket."(A, 19:30)
12. Memorable Example
- Women’s undergarment brand ends up serving mostly men, because Google optimizes toward engagement rather than purchase intent.
- "That's my assumption... there was an optimization towards soft metrics... cost per view... but... misaligned to 99% of converters that are female." (A, 21:13)
Notable Quotes
- "It's all killer, no filler." (B, 00:49)
- "I bet most advertisers listening to this podcast are going to have their eyes opened..." (A, 00:00, 06:40)
- "Make sure advertisers out there are double checking their optimized targeting settings." (A, 21:43)
- "Creative is paramount. Creative should be a reflection of your strategy... you're not going to create new demand for your product via Google search and shopping for the most part." (A, 13:26)
- "I'm of the opinion that Google's... differentiating new versus returning customers is not particularly accurate." (A, 08:21)
Fast Reference Timeline
| Timestamp | Segment | |-----------|-----------------------------------------------------------------| | 00:00 | Main targeting mistakes intro; the “sneaky” settings | | 02:31 | Children’s content, household devices, content exclusions | | 05:10 | Demand gen misalignments, the “sneaky” settings explained | | 06:40 | How to audit actual vs. targeted audiences | | 08:21 | Discussion on Google’s “leakiness” with new vs. old customers | | 10:48 | CSV/Customer match list upload tips | | 11:23 | Deep audit via Audience Manager & Data Insights | | 13:26 | Why YouTube is now more vital than ever for top of funnel | | 16:29 | Brand lift study limitations, better awareness measurement | | 18:05 | Narrow geo-targeting for better campaign measurability | | 19:30 | Dougie’s step-by-step: how to audit your campaigns | | 21:13 | Real-world brand misalignment example (women’s brand, male ads) |
Tone & Final Thoughts
The episode is candid, tactical, and filled with practical field-tested tips — a mixture of warning and opportunity for DTC brands. The conversation exposes how automation, if left unchecked, can repeatedly subvert intended strategies and reputations. The hosts blend expertise with friendly banter, closing with a segue into baseball fandom.
Final advice:
"Make sure advertisers out there are double checking their optimized targeting settings for demand gen." (A, 21:43)
Action Steps for DTC Advertisers
- Review demand gen campaign settings; look for the default “optimized targeting” or demographic override boxes.
- Build and regularly update exclusion lists for placements, topics, and keywords (especially gaming and passive content).
- Use Audience Manager and Data Insights to cross-check served impressions vs. actual converters.
- Optimize conversion goals for net new customers, not just all customers.
- Start awareness campaigns in limited geographies for easier measurement.
- Don’t trust Brand Lift studies as your sole metric—use hard data (brand search, conversions, site behavior).
- Audit regularly—don’t assume your campaign settings are doing what you think they’re doing.
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