Data Skeptic

Advertising Attribution with Nathan Janos

Jun 6, 2014

01:16:29

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Episode notes

Parallelization and Monte Carlo Techniques in Data Processing

02:07

Insights on Data Science in Advertising

02:03

Challenges of using cookies for online advertising

01:31

Understanding the Pitfalls of Overfitting in Statistical Models

02:13

Introduction

3min

What Data Science Is Doing for the Advertising Space

2min

Is Multi-Task Attribution Working?

2min

AdWords

4min

Convertro Cookies for Tracking

2min

Convertro

4min

Using the GLM Net Package to Attack Large Data Sets

4min

A Particle Filter Approach to a Complex Stochastic Problem?

2min

AdWords

6min

10.

Do You Know if Your Models Are Failing?

4min

11.

Is Your Relativity Model a Pitfall?

2min

12.

How Do We Measure Ourself Against Each Other?

3min

13.

How Do You Predict What's Going to Happen?

2min

14.

Can You Solve This Problem When There's So Much Uncertainty?

3min

15.

Do You Face Bias in Multi-Device Problems?

3min

16.

What's the Margin of Return?

2min

17.

A-B Testing - How to Determine the Increasing Lift of Each of the Touch Points

2min

18.

Is There a Difference Between in-Game Advertising and in-Video Game Advertising?

4min

19.

Is It Possible to Predict the Return on Investment of Your Ads?

3min

20.

Is There a Model That Can Work for Different Types of Businesses?

5min

21.

How Much Time Do You Spend Building Inputs for the Model?

2min

22.

Is There a Difference Between Retargeting and Personalized Advertising?

2min

23.

Is There a Future for Advertising?

4min

24.

Ad Blocker

2min

25.

Advertising

2min

26.

How to Build a Clock That Runs for 10,000 Years

3min

A conversation with Convertro's Nathan Janos about methodologies used to help advertisers understand the affect each of their marketing efforts (print, SEM, display, skywriting, etc.) contributes to their overall return.

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Data Skeptic

Advertising Attribution with Nathan Janos

Parallelization and Monte Carlo Techniques in Data Processing

Insights on Data Science in Advertising

Challenges of using cookies for online advertising

Understanding the Pitfalls of Overfitting in Statistical Models

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Save anymoment

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