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More data? More growth!

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Manage episode 510211842 series 3236021
Content provided by Singular. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Singular or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

MMPs give you a strong foundation for measuring mobile campaigns. But what if that’s not enough? What if the data you’re missing could unlock faster growth, smarter user acquisition, and better ROI?

That’s where Extract comes in.

In this episode of Growth Masterminds, John Koetsier talks with Maayan Schor about why mobile marketers need a next-gen ELT and reverse ETL platform to move raw data in and out of their systems. From app stores to social to ad networks, Extract helps you pull it all together with your MMP data ... and make smarter decisions with more confidence.

Leading, of course, to more growth.

We cover:

- Why there's more data than MMPs provide alone

- How to access raw app store, organic social, and granular ad network data

- Real-world use cases from top mobile marketers

- How BI teams and marketers collaborate to make Extract work

- Why flexibility and context are key to growth in mobile marketing

If you’re working in mobile marketing, user acquisition, data engineering, or growth analytics, this conversation is packed with insights you can use today.

👉 Try Extract free: https://extract.to

0:00 Intro – More data? More growth!

1:05 What is Extract?

3:00 Why MMP data isn’t enough

5:10 App store data: reviews, ratings, revenue

7:05 Organic social insights (TikTok, Instagram, Facebook)

9:15 Granular ad network data and blind spots

12:00 Near real-time bidding and budget data use cases

14:30 ETL vs. Extract: what’s the difference?

17:20 Flexibility: moving data where you need it

20:00 Who’s using Extract: BI teams, marketers & beyond

23:00 Getting started – free trial, 1M records/month

  continue reading

180 episodes

Artwork
iconShare
 
Manage episode 510211842 series 3236021
Content provided by Singular. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Singular or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

MMPs give you a strong foundation for measuring mobile campaigns. But what if that’s not enough? What if the data you’re missing could unlock faster growth, smarter user acquisition, and better ROI?

That’s where Extract comes in.

In this episode of Growth Masterminds, John Koetsier talks with Maayan Schor about why mobile marketers need a next-gen ELT and reverse ETL platform to move raw data in and out of their systems. From app stores to social to ad networks, Extract helps you pull it all together with your MMP data ... and make smarter decisions with more confidence.

Leading, of course, to more growth.

We cover:

- Why there's more data than MMPs provide alone

- How to access raw app store, organic social, and granular ad network data

- Real-world use cases from top mobile marketers

- How BI teams and marketers collaborate to make Extract work

- Why flexibility and context are key to growth in mobile marketing

If you’re working in mobile marketing, user acquisition, data engineering, or growth analytics, this conversation is packed with insights you can use today.

👉 Try Extract free: https://extract.to

0:00 Intro – More data? More growth!

1:05 What is Extract?

3:00 Why MMP data isn’t enough

5:10 App store data: reviews, ratings, revenue

7:05 Organic social insights (TikTok, Instagram, Facebook)

9:15 Granular ad network data and blind spots

12:00 Near real-time bidding and budget data use cases

14:30 ETL vs. Extract: what’s the difference?

17:20 Flexibility: moving data where you need it

20:00 Who’s using Extract: BI teams, marketers & beyond

23:00 Getting started – free trial, 1M records/month

  continue reading

180 episodes

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