Mobile Dev Memo Podcast

MDM Podcast Episode 17 - Advertising fingerprinting and bad incentives

Nov 22, 2021

51:32

Creator website

Highlights

AI Chapters

Episode notes

Is Mediumic Modelling a Good Idea?

05:32

Finger Print vs Probablistic Attribution

01:45

You Can't Duplicate Betweens, You Know?

02:52

Introduction

2min

Finger Print vs Probablistic Attribution

2min

Finger Printing Is Not Probablistic Attribution

4min

Finger Printing for Probalistic Attribution

3min

Are You Seeing a Higher Proportion of Organics With an Incremental Approach?

3min

You Can't Duplicate Betweens, You Know?

3min

Are You Using Your Correlation Data to Make Your Decisions?

2min

Isn't Apple Finger Printing?

2min

Finger Printing Is a Great Signal to Incrementality

3min

10.

I'm Yo, RegtExactly. I Changed the Measurement Approach

2min

11.

Is Mediumic Modelling a Good Idea?

6min

12.

Is Face Books Robin Targeted Toward Advertisers?

5min

13.

Using Last Touch Versus Causality Versus Mediumix

4min

14.

Influencer Marketing

2min

15.

Telegram, the New Medium, Is a New Medium

2min

16.

Is Incrementality Getting Popular?

2min

17.

Is Facebook, One Million Clik, One Thousand Version?

2min

18.

Mobile Advertising

3min

In this new episode of the Mobile Dev Memo podcast, I speak with Maor Sadra, the CEO of INCRMNTAL, about probabilistic attribution for mobile advertising and why bad incentives prevent advertisers from rejecting it. We also talk about Media Mix Models and Facebook's efforts to drive adoption for Robyn, its open-sourced measurement product, and budget diversification post-ATT.