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Kandungan disediakan oleh Shamanth Rao. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Shamanth Rao atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.
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šŸ“ˆAre You Overpaying Your Ad Network by 30-40%? Decoding SKAN vs. probabilistic billingšŸ§

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Manage episode 377071121 series 2575608
Kandungan disediakan oleh Shamanth Rao. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Shamanth Rao atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

In this episode, we dive into a common pitfall weā€™ve seen many developers fall into lately. While many ad networks use probabilistic models for optimization, they turn to SKAN data when it comes to billing. This discrepancy might mean youā€™re paying 30-40% more than anticipated or that your campaignā€™s performance isnā€™t as stellar as you believed. In this episode, I unpack the underlying mechanics of what is happening ā€“ and what we recommend doing instead.

**

Check out the show notes here:
https://mobileuseracquisitionshow.com/episode/ad-network-skan-billing/

**
Get more mobile user acquisition goodies here:
http://RocketShipHQ.com
http://RocketShipHQ.com/blog

  continue reading

257 episod

Artwork
iconKongsi
 
Manage episode 377071121 series 2575608
Kandungan disediakan oleh Shamanth Rao. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Shamanth Rao atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

In this episode, we dive into a common pitfall weā€™ve seen many developers fall into lately. While many ad networks use probabilistic models for optimization, they turn to SKAN data when it comes to billing. This discrepancy might mean youā€™re paying 30-40% more than anticipated or that your campaignā€™s performance isnā€™t as stellar as you believed. In this episode, I unpack the underlying mechanics of what is happening ā€“ and what we recommend doing instead.

**

Check out the show notes here:
https://mobileuseracquisitionshow.com/episode/ad-network-skan-billing/

**
Get more mobile user acquisition goodies here:
http://RocketShipHQ.com
http://RocketShipHQ.com/blog

  continue reading

257 episod

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