Data Skeptic

Advertising Attribution with Nathan Janos

8 snips
Jun 6, 2014
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Episode notes
1
Introduction
00:00 • 3min
2
What Data Science Is Doing for the Advertising Space
03:24 • 2min
3
Is Multi-Task Attribution Working?
05:27 • 2min
4
AdWords
07:02 • 4min
5
Convertro Cookies for Tracking
11:26 • 2min
6
Convertro
12:57 • 4min
7
Using the GLM Net Package to Attack Large Data Sets
16:31 • 4min
8
A Particle Filter Approach to a Complex Stochastic Problem?
20:45 • 2min
9
AdWords
22:52 • 6min
10
Do You Know if Your Models Are Failing?
28:23 • 4min
11
Is Your Relativity Model a Pitfall?
32:48 • 2min
12
How Do We Measure Ourself Against Each Other?
35:01 • 3min
13
How Do You Predict What's Going to Happen?
37:59 • 2min
14
Can You Solve This Problem When There's So Much Uncertainty?
40:29 • 3min
15
Do You Face Bias in Multi-Device Problems?
43:34 • 3min
16
What's the Margin of Return?
46:24 • 2min
17
A-B Testing - How to Determine the Increasing Lift of Each of the Touch Points
48:15 • 2min
18
Is There a Difference Between in-Game Advertising and in-Video Game Advertising?
50:00 • 4min
19
Is It Possible to Predict the Return on Investment of Your Ads?
54:13 • 3min
20
Is There a Model That Can Work for Different Types of Businesses?
57:03 • 5min
21
How Much Time Do You Spend Building Inputs for the Model?
01:02:28 • 2min
22
Is There a Difference Between Retargeting and Personalized Advertising?
01:04:31 • 2min
23
Is There a Future for Advertising?
01:06:38 • 4min
24
Ad Blocker
01:10:18 • 2min
25
Advertising
01:11:54 • 2min
26
How to Build a Clock That Runs for 10,000 Years
01:13:36 • 3min