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I have those skills, but let me play the skeptic here and amplify a few questions: 1. What is CRO? (I just looked it up -- conversion rate optimization). Is

I have those skills, but let me play the skeptic here and amplify a few questions: 1. What is CRO? (I just looked it up -- conversion rate optimization). Is it spammy? 2. What is tagging? I assume it's instrumenting funnels etc. in apps. That has its own joys and sorrows, and can kind of jam up the critical path. Some of it may be a breakdown in effort vs. reward. It's too easy to skip metrics when they're not a blocker for release, and the tentative benefits of running an experiment are less tangible than just releasing code (hence Windows 9).

fenier 9y ago
Correct, Conversion Rate Optimization. Use of tech such as surveys, AB tests, MVT tests, analytics, and so on to increase conversion rates for a particular action(s). A solid mix of Programming, Math and Science. Tagging - use of pre-built tags in a Tag Manager (Google Tag Manager, Tealium) which send pre-defined data via the Tag Manager to 3rd parties. I've also found people want to skip metrics, and I feel not only is that a bad plan, but it makes it difficult to figure out what may be going wrong without any data to prove a particular theory.
- kwillets 9y ago
  Well, if you call it Data Science, people will come running to you with their Hadoop skills :). I don't really know the answer, as I've worked with some teams that had strong analytics/CRO penetration, and some that didn't. Probably the main difference is exec-level support; making metrics part of OKR's or the design process pretty much guarantees interest.
  - sidlls 9y ago
    Well, properly done analytics of this sort can be quite interesting from a data science perspective, especially if the products or conversion goals are themselves driven by data science and machine learning. So maybe you're on to something here.
    - fenier 9y ago
      Agreed, I am wondering if it could be something as simply as changing the titles people have.
      - kwillets 9y ago
        Are you internal to a tech org, or is this a third-party service? How much bandwidth do you have with the CRO customer? The reason I ask is that the role may be broader or narrower based on these factors; it may not be perceived as full-on data science.
        fenier 9y ago
        Internal to a Retail org, and I suspect it's not being viewed internally as Data Science.

fenier 9y ago

Correct, Conversion Rate Optimization. Use of tech such as surveys, AB tests, MVT tests, analytics, and so on to increase conversion rates for a particular action(s). A solid mix of Programming, Math and Science. Tagging - use of pre-built tags in a Tag Manager (Google Tag Manager, Tealium) which send pre-defined data via the Tag Manager to 3rd parties. I've also found people want to skip metrics, and I feel not only is that a bad plan, but it makes it difficult to figure out what may be going wrong without any data to prove a particular theory.

kwillets 9y ago
Well, if you call it Data Science, people will come running to you with their Hadoop skills :). I don't really know the answer, as I've worked with some teams that had strong analytics/CRO penetration, and some that didn't. Probably the main difference is exec-level support; making metrics part of OKR's or the design process pretty much guarantees interest.
- sidlls 9y ago
  Well, properly done analytics of this sort can be quite interesting from a data science perspective, especially if the products or conversion goals are themselves driven by data science and machine learning. So maybe you're on to something here.
  - fenier 9y ago
    Agreed, I am wondering if it could be something as simply as changing the titles people have.
    - kwillets 9y ago
      Are you internal to a tech org, or is this a third-party service? How much bandwidth do you have with the CRO customer? The reason I ask is that the role may be broader or narrower based on these factors; it may not be perceived as full-on data science.
      - fenier 9y ago
        Internal to a Retail org, and I suspect it's not being viewed internally as Data Science.