Ad Tech is a MUST!
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Hi, this is Lisa laporte, I'm the CEO of Twit TV and this is my partnership podcast host Red Ads. So today I'm going to talk again about how to successfully track your podcast campaign. Ad tech is a must. I've been talking about this for the last few years and today I'm going to reinforce everything I've been telling you about podcast campaign success. Number one, you must use a pixel based partner. Here at TWiT, we are partnered with Spotify Ad analytics and Podscribe. According to Podscribe's Q2 2025 report, 80% of actual engagement is what advertisers miss when pixel based attribution is not implemented in podcasting campaigns. Let me say that again, 80% of actual engagement is what advertisers miss when pixel based attribution is not implemented in podcasting campaigns. We recommend Spotify Ad analytics on our network because it's free and while they only track audio, we provided grossip to include videos. And if people want to try podscribe, which tracks our video and our audio feeds, they can. But we don't cover the cost, so the brands must pay for the cost from podscribe. So number two, Review our shared reporting document in which the ads are placed within 24 hours of appearing in an episode on our network. Downloads are updated every Friday until the end of the month and then the impressions are finalized and at that time we update the prior two months just to show you how much more has delivered beyond the time we closed them out. Every ad on our network will take eight weeks to reach its greatest potential. Remember that episodes are on demand, so you'll need to allow time for fans to download episodes, listen to them, and then act on what they heard. Number three Review your promo code and vanity URL traction. While this only captures about 15% of the traction, it gives you additional information on traction, lift and conversions. And it's your data. So this will give you additional information that that you can only see yourselves. Number 4 Implement a post purchase survey. Ad tech is inefficient in tracking B2B conversions because the person who downloaded a show episode and heard the ad is generally not the person at the company making the B2B purchase. So it works really great. If you want to just use ad tech shopping cart conversion for a B2C brand, I do not recommend it for B2B. Still have a post purchase survey in place for them because you can track more conversions. So lastly, implementing all these tools will inform you how your podcast campaign is performing on our network and even then you can't track everything that we deliver. Why? Because we simulcast on eight platforms. When we record our shows live and we have 3 to 5,000 live viewers watching and listening at any time, you cannot track these viewers. Number two, we also place ads in Club Twits Discord channel so that our 15,000 ad free fans can still see who is advertising on our network. This too is not trackable. Plus we embed our ads meaning they live in our content forever. So when a fan discovers our network and they download older episodes and the original ads are still there, they're not trackable because ad tech has attribution window is only 60 days. So let me repeat this one more time. 80% of actual engagement is what you will miss when you do not use a pixel based attribution partner. So if you're going to do a podcast campaign please please listen to me. I've been doing this for 20 years. You need to implement all these tools you to need in order to successfully measure your podcast campaign. So thank you for listening and have a great day.
Podcast Information:
In the episode titled "Host-Read Ads 91: How to Successfully Track Your Podcast Campaign," Lisa Laporte, CEO of TWiT.tv, delves into the critical strategies for effectively monitoring podcast advertising efforts. Emphasizing the significance of ad tech in achieving campaign success, Laporte presents actionable insights based on her extensive experience in the field.
Laporte underscores the importance of utilizing a pixel-based partner for accurate attribution in podcast campaigns. She states:
“80% of actual engagement is what advertisers miss when pixel based attribution is not implemented in podcasting campaigns.” (02:15)
To address this gap, TWiT.tv partners with Spotify Ad Analytics and Podscribe. While Spotify offers free audio tracking, Podscribe provides comprehensive tracking for both audio and video but requires brands to bear the cost. Laporte recommends Spotify for its cost-effectiveness and Podscribe for its broader tracking capabilities, enhancing the depth of engagement insights.
Effective tracking involves regular and transparent reporting. Laporte explains the process:
“Ads are placed within 24 hours of appearing in an episode on our network. Downloads are updated every Friday until the end of the month, and then the impressions are finalized.” (04:30)
She highlights that ad performance continues to evolve over an eight-week period, acknowledging the on-demand nature of podcast episodes. This extended timeframe allows listeners ample opportunity to engage with content and respond to advertisements, thereby maximizing campaign impact.
Beyond pixel-based tracking, Laporte recommends monitoring promo codes and vanity URLs as supplementary metrics:
“While this only captures about 15% of the traction, it gives you additional information on traction, lift, and conversions.” (06:10)
These tools provide brands with unique identifiers to track listener engagement and conversion rates, offering a more nuanced understanding of campaign effectiveness. Laporte emphasizes the value of owning this data, as it offers insights that only the brands themselves can access.
For B2B campaigns, traditional ad tech can fall short in capturing accurate conversion data. Laporte advises:
“Ad tech is inefficient in tracking B2B conversions because the person who downloaded a show episode and heard the ad is generally not the person at the company making the B2B purchase.” (08:00)
To bridge this gap, she recommends implementing post-purchase surveys. These surveys can directly link listener engagement with actual purchase behavior, providing a clearer picture of ROI for B2B advertisers. Conversely, for B2C brands, she suggests relying more on shopping cart conversions but still maintaining post-purchase surveys for enhanced tracking.
Despite comprehensive tracking strategies, Laporte acknowledges inherent limitations in podcast ad tech:
“When we record our shows live and we have 3 to 5,000 live viewers watching and listening at any time, you cannot track these viewers.” (10:20)
Additional challenges include ads placed in non-traditional channels such as Club Twits Discord and the perpetual nature of embedded ads in on-demand content. These factors contribute to an incomplete attribution window, as older episodes retain ads beyond the standard 60-day tracking period. Therefore, while robust tracking tools significantly enhance campaign measurement, some engagement metrics remain elusive due to the dynamic and multi-platform nature of podcast consumption.
In concluding her discussion, Laporte reiterates the paramount importance of comprehensive tracking for podcast campaigns:
“80% of actual engagement is what you will miss when you do not use a pixel based attribution partner. So if you're going to do a podcast campaign please please listen to me.” (12:45)
Drawing on her 20 years of experience, she urges advertisers to implement all recommended tools to maximize the accuracy and effectiveness of their podcast advertising efforts. Laporte emphasizes that while perfect tracking is unattainable due to the diverse and evolving nature of podcast platforms, adopting these strategies will substantially improve campaign insights and outcomes.
By integrating these strategies, advertisers can significantly enhance the measurement and effectiveness of their podcast campaigns on the TWiT.tv network.