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Contenuto fornito da Peggy Anne Salz. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Peggy Anne Salz o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
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How One Dating App Reaches Double-Digit Uplift With Personalized Pricing

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Manage episode 399937308 series 2927316
Contenuto fornito da Peggy Anne Salz. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Peggy Anne Salz o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

In today’s attention arena, personalization equals profit. This is where AI-powered solutions shine, equipping companies to customize the app experience and explore new areas where greater personalization can yield massive returns. While many companies focus on smart ways to fill the marketing funnel with content and campaigns tailored to treat users like individuals, a few fast-movers are cashing in by offering personalized pricing that makes users offers they can’t refuse. This approach is championed by Cosmic Latte, a maker of LGBTQ+ dating apps that count 15 million users worldwide. Milan Kovacic, Cosmic Latte CEO, joins Peggy Anne Salz to talk about how he works with Assetario, a predictive analytics platform for mobile apps, to make the match between audience segments and the subscription price tag they are willing and happy to pay. Milan also walks through the strategy that allowed one dating app to reach a “double-digit” uplift in revenue. He is joined by Jakub Chudik, CTO and co-founder of Assetario, who reflects on the evolution of AI and reveals the low-hanging fruit, such as personalized recommendations, companies should have high on their radar.

CHAPTER TIMESTAMPS

00:00 - Intro

02:28 - Milan and Jakub's background

06:04 - The perks of individualized pricing

08:59 - How Assetario works

13:31 - Why pricing as a personalization point?

16:59 - When doesn't AI apply?

20:51 - In-house vs outsourcing

26:09 - What to look for in an AI company

31:12 - Driving data-driven decisions

32:57 - What to expect from Assetario and Cosmic Latte in 2024

  continue reading

76 episodi

Artwork
iconCondividi
 
Manage episode 399937308 series 2927316
Contenuto fornito da Peggy Anne Salz. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Peggy Anne Salz o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

In today’s attention arena, personalization equals profit. This is where AI-powered solutions shine, equipping companies to customize the app experience and explore new areas where greater personalization can yield massive returns. While many companies focus on smart ways to fill the marketing funnel with content and campaigns tailored to treat users like individuals, a few fast-movers are cashing in by offering personalized pricing that makes users offers they can’t refuse. This approach is championed by Cosmic Latte, a maker of LGBTQ+ dating apps that count 15 million users worldwide. Milan Kovacic, Cosmic Latte CEO, joins Peggy Anne Salz to talk about how he works with Assetario, a predictive analytics platform for mobile apps, to make the match between audience segments and the subscription price tag they are willing and happy to pay. Milan also walks through the strategy that allowed one dating app to reach a “double-digit” uplift in revenue. He is joined by Jakub Chudik, CTO and co-founder of Assetario, who reflects on the evolution of AI and reveals the low-hanging fruit, such as personalized recommendations, companies should have high on their radar.

CHAPTER TIMESTAMPS

00:00 - Intro

02:28 - Milan and Jakub's background

06:04 - The perks of individualized pricing

08:59 - How Assetario works

13:31 - Why pricing as a personalization point?

16:59 - When doesn't AI apply?

20:51 - In-house vs outsourcing

26:09 - What to look for in an AI company

31:12 - Driving data-driven decisions

32:57 - What to expect from Assetario and Cosmic Latte in 2024

  continue reading

76 episodi

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