Season 7, Episode 2: Using AI for audience insights and analysis (with Francesco D'Orazio) episode artwork

EPISODE · Jan 14, 2026 · 58 MIN

Season 7, Episode 2: Using AI for audience insights and analysis (with Francesco D'Orazio)

from Mobile Dev Memo Podcast · host MobileDevMemo

My guest on this week's episode of the podcast is Francesco D'Orazio, the President and Chief Product Officer at Pulsar, an audience intelligence and insights platform. The topic of our conversation is the use of AI to develop an understanding of a product's existing audience for feature planning, marketing, and optimization. Among other things, we discuss:How AI is being applied to audience development and audience insights currentlyThe difference between audience analysis for existing users and audience analysis for advertising targeting, and whether these two use cases convergeHow a team should balance efforts across optimizing a product for an existing audience versus optimizing the product to onboard new, previously unserved audiencesWho in an organization typically owns audience insights, and whether that's optimalHow audience insights combine with user-level personalizationThanks to the sponsors of this week’s episode of the Mobile Dev Memo podcast:⁠⁠INCRMNTAL⁠⁠⁠. True attribution measures incrementality, always on.Xsolla⁠. With the Xsolla Web Shop, you can create a direct storefront, cut fees down to as low as 5%, and keep players engaged with bundles, rewards, and analytics.⁠Branch⁠. Branch is an AI-powered MMP, connecting every paid, owned, and organic touchpoint so growth teams can see exactly where to put their dollars to bring users in the door and keep them coming backInterested in advertising in the Mobile Dev Memo newsletter or podcast? ⁠Get in touch⁠.The Mobile Dev Memo podcast is available on:YouTubeApple PodcastsSpotify

My guest on this week's episode of the podcast is Francesco D'Orazio, the President and Chief Product Officer at Pulsar, an audience intelligence and insights platform. The topic of our conversation is the use of AI to develop an understanding of a product's existing audience for feature planning, marketing, and optimization. Among other things, we discuss:How AI is being applied to audience development and audience insights currentlyThe difference between audience analysis for existing users and audience analysis for advertising targeting, and whether these two use cases convergeHow a team should balance efforts across optimizing a product for an existing audience versus optimizing the product to onboard new, previously unserved audiencesWho in an organization typically owns audience insights, and whether that's optimalHow audience insights combine with user-level personalizationThanks to the sponsors of this week’s episode of the Mobile Dev Memo podcast:⁠⁠INCRMNTAL⁠⁠⁠. True attribution measures incrementality, always on.Xsolla⁠. With the Xsolla Web Shop, you can create a direct storefront, cut fees down to as low as 5%, and keep players engaged with bundles, rewards, and analytics.⁠Branch⁠. Branch is an AI-powered MMP, connecting every paid, owned, and organic touchpoint so growth teams can see exactly where to put their dollars to bring users in the door and keep them coming backInterested in advertising in the Mobile Dev Memo newsletter or podcast? ⁠Get in touch⁠.The Mobile Dev Memo podcast is available on:YouTubeApple PodcastsSpotify

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Season 7, Episode 2: Using AI for audience insights and analysis (with Francesco D'Orazio)

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This episode was published on January 14, 2026.

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My guest on this week's episode of the podcast is Francesco D'Orazio, the President and Chief Product Officer at Pulsar, an audience intelligence and insights platform. The topic of our conversation is the use of AI to develop an understanding of a...

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