Monday, February 6, 2017

Pandas, Pandas, Pandas

Today I'm going to get caught up on the three ConversionXL Institute "Google Tag Manager" videos on which I am behind. I have watched the pre-videos but none of the records of the live webinars.

In Python news: I'm increasingly aware of: a. how great Wes McKinney's book is, and yet, b. how outdated it is. Pandas has come a long way in 5 years. I've already pre-ordered his 2nd edition - but there is no promised release date.

I'm going to favor the online pandas documentation and cookbook for the time being. But I will still be reviewing Wes's work.

I've also read parts of "Data Wrangling." Good stuff but it feels like a lot of items covered there can be handled more easily with pandas. I'm looking forward to reading her section on how to choose the appropriate data set for analysis.

Tag Manager Notes:

Benefits:
  1. Use Tag Manager like a video game controller, setting up "if, then" rules for firing events based upon very specific actions.
  2. Does what Google Analytics can't do; GA is incomplete; we want to know more about specific actions (how far did they scroll down? how long were they actively engaged on page? what is real bounce rate?); with Tag Manager, much more useful information is sent into Google Analytics.
  3. Future-proofs you: everything is moving into Tag Manager
Definitions:

Tags: what you want GTM to do

Triggers: when you want GTM to fire a tag

Variables: additional information you can provide to GTM to help the trigger to fire a tag (not always needed with every tag or trigger)

Folders: a way to organize

Notes:

Tags:

  1. Use Universal Analytics (unless GA account still has the old, classic GA)
  2. For Google Adwords and Google Retargeting, use one of the built-in tags in GTM rather than creating a new one from scratch
  3. Facebook and Google don't play nice; so we have to create a custom HTML tag to fire Facebook or other third party scripts that way
  4. Use custom image tags that fire back pixel data

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