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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 act
by 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 agoWell, 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 agoWell, 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 agoAgreed, I am wondering if it could be something as simply as changing the titles people have.
- kwillets 9y agoAre 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 agoInternal to a Retail org, and I suspect it's not being viewed internally as Data Science.