Artwork

محتوای ارائه شده توسط Remerge. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Remerge یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
Player FM - برنامه پادکست
با برنامه Player FM !

Exposing the myth of ‘perfect data’ with Piotr Prędkiewicz (FORMEL SKIN)

32:50
 
اشتراک گذاری
 

Manage episode 501325220 series 3587809
محتوای ارائه شده توسط Remerge. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Remerge یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

Piotr Prędkiewicz, Senior Marketing Analyst at FORMEL SKIN, exposes the myth of ‘perfect data’ and charts the future of privacy-centric analytics in mobile growth. With a career spanning fintech, dating and health tech, Piotr unpacks how to track users legally, ethically, and creatively before they even register. He also discusses why device data is always noisier than you want, and where most marketers go wrong on privacy, attribution, and fraud. The episode blends practical strategies for data-driven marketers with a clear-eyed critique of the industry’s alignment failures, fraud incentives, and the inescapable limitations of tracking in the GDPR era.

Questions Piotr answers in this episode:

  • What is FORMEL SKIN, and how does it solve dermatology’s bottleneck in Germany?
  • How did Piotr’s career in analytics develop across multiple verticals?
  • Why is ‘perfect data’ a myth in mobile marketing?
  • How do you responsibly track and aggregate users before registration?
  • What’s the difference between front-end and back-end behavioral data?
  • How do device/user mismatches and changes create analytics headaches?
  • What are the new challenges and gray areas in privacy (GDPR, CCPA, device fingerprinting)?
  • Where does fraud hide in aggregated data, and how do you find it?
  • Why does fraud persist, and what incentives make it so durable?
  • How could success in mobile marketing be measured differently to promote collaboration and integrity?

Timestamps:

(0:00) – Introducing FORMEL SKIN, Piotr’s role, and Germany’s digital dermatology
(1:18) – Marketing analytics in dating, fintech, health
(2:50) – Why ‘perfect data’ is a myth
(5:00) – Assigning pseudo-user IDs, device-based tracking
(6:00) – Aggregated data, ‘chasing ghosts,’ and its pitfalls
(8:00) – Combining front-end and back-end data; challenges in stitching
(9:36) – Device vs. user: confusion, mismatches, and noise
(11:13) – Balancing privacy vs. marketing needs; legal and business conflicts
(12:30) – Device fingerprinting: what’s legal, what’s risky, and why
(14:22) – The end of one-to-one attribution; rise of aggregated, top-level analysis
(16:05) – Marketing fraud: what’s changed, sneaky affiliate/network tricks
(19:08) – Incentives, alignment failures, and why fraud persists
(21:40) – Filtering fraud: long onboarding, compliance, and technical vigilance
(23:38) – ‘Success’ in mobile marketing and why responsibility must be shared
(32:08) – Wrap up

Quotes:

(2:50) “Don’t expect perfect data – especially in marketing where different data sources are being combined.”
(5:10) “You try to anchor it to the device…within all the data security and the privacy setup and anchor it to this entity and create one entity.”
(15:26) “We can use aggregated data for strategic decisions, like how to shift budgets from channel A to B.”

Mentioned in this episode:

  continue reading

223 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 501325220 series 3587809
محتوای ارائه شده توسط Remerge. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Remerge یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

Piotr Prędkiewicz, Senior Marketing Analyst at FORMEL SKIN, exposes the myth of ‘perfect data’ and charts the future of privacy-centric analytics in mobile growth. With a career spanning fintech, dating and health tech, Piotr unpacks how to track users legally, ethically, and creatively before they even register. He also discusses why device data is always noisier than you want, and where most marketers go wrong on privacy, attribution, and fraud. The episode blends practical strategies for data-driven marketers with a clear-eyed critique of the industry’s alignment failures, fraud incentives, and the inescapable limitations of tracking in the GDPR era.

Questions Piotr answers in this episode:

  • What is FORMEL SKIN, and how does it solve dermatology’s bottleneck in Germany?
  • How did Piotr’s career in analytics develop across multiple verticals?
  • Why is ‘perfect data’ a myth in mobile marketing?
  • How do you responsibly track and aggregate users before registration?
  • What’s the difference between front-end and back-end behavioral data?
  • How do device/user mismatches and changes create analytics headaches?
  • What are the new challenges and gray areas in privacy (GDPR, CCPA, device fingerprinting)?
  • Where does fraud hide in aggregated data, and how do you find it?
  • Why does fraud persist, and what incentives make it so durable?
  • How could success in mobile marketing be measured differently to promote collaboration and integrity?

Timestamps:

(0:00) – Introducing FORMEL SKIN, Piotr’s role, and Germany’s digital dermatology
(1:18) – Marketing analytics in dating, fintech, health
(2:50) – Why ‘perfect data’ is a myth
(5:00) – Assigning pseudo-user IDs, device-based tracking
(6:00) – Aggregated data, ‘chasing ghosts,’ and its pitfalls
(8:00) – Combining front-end and back-end data; challenges in stitching
(9:36) – Device vs. user: confusion, mismatches, and noise
(11:13) – Balancing privacy vs. marketing needs; legal and business conflicts
(12:30) – Device fingerprinting: what’s legal, what’s risky, and why
(14:22) – The end of one-to-one attribution; rise of aggregated, top-level analysis
(16:05) – Marketing fraud: what’s changed, sneaky affiliate/network tricks
(19:08) – Incentives, alignment failures, and why fraud persists
(21:40) – Filtering fraud: long onboarding, compliance, and technical vigilance
(23:38) – ‘Success’ in mobile marketing and why responsibility must be shared
(32:08) – Wrap up

Quotes:

(2:50) “Don’t expect perfect data – especially in marketing where different data sources are being combined.”
(5:10) “You try to anchor it to the device…within all the data security and the privacy setup and anchor it to this entity and create one entity.”
(15:26) “We can use aggregated data for strategic decisions, like how to shift budgets from channel A to B.”

Mentioned in this episode:

  continue reading

223 قسمت

همه قسمت ها

×
 
Loading …

به Player FM خوش آمدید!

Player FM در سراسر وب را برای یافتن پادکست های با کیفیت اسکن می کند تا همین الان لذت ببرید. این بهترین برنامه ی پادکست است که در اندروید، آیفون و وب کار می کند. ثبت نام کنید تا اشتراک های شما در بین دستگاه های مختلف همگام سازی شود.

 

راهنمای مرجع سریع

در حین کاوش به این نمایش گوش دهید
پخش