The news: Podcast advertisers are relying on contextual targeting tactics but leaving demographic tactics—and reach improvements—off the table.
Podcast advertisers are likely losing out on return on ad spend (ROAS) by not layering strategies like audience segment targeting alongside category targeting. This imbalance suggests podcast ad buyers are prioritizing simplicity—at a cost.
The problem: Without utilizing behavioral or demographic data, campaigns risk serving ads only within narrow content categories and on the most popular episodes.
- This could skip over listeners who consume diverse genres but still fit high-value audience profiles. Listeners over 55 years old, for example, appear across all listener profiles and present strong seasonal shopping signals.
- A lack of layered strategies also means advertisers overlook moment-based triggers, such as time of day or seasonal listening behaviors, which are standard practice in more mature digital channels.
- With podcasts forecast to comprise 37.3% of digital audio services ad spending in 2026, that’s a significant amount of spend to not optimize for target audiences.
Zooming out: The dependence on context stands in stark contrast to connected TV (CTV), where advertisers are more likely to combine targeting signals.
Nearly a third (29.5%) of CTV advertisers use demographic targeting and 9.2% target contextually at the program level, per Gracenote, representing a more diverse approach than podcast advertisers.
The next phase of podcast advertising could benefit from adopting the multi-signal strategies that are more standard in CTV.
What marketers should do: Evolve beyond context-only approaches by combining audience segments, brand suitability filters, and contextual data to create more holistic campaigns. Focus on building campaigns with depth, not just category alignment, to increase incremental reach, reduce resource waste, and better match ads with listener intent.