When it comes to analyzing the root cause, we have several diagnostic tools we can use, and they reside on three different levels of data that we can get: the basic behavioral data, the next level data, and the predictive data. Let’s get into each one of these.
1. Basic data
The basic data comes from tools that you don’t need buy-in or set up for. One of them is Google Search Console (GSC), which can reveal poor intent match when we look at CTR both from a branded and non-branded perspective. Most of the other data in this bucket is qualitative and allows us to identify common points of frustration both for a pre- and post-purchase journey, like surveys, CX logs, social mentions, and reviews, so make sure you collaborate cross-functionally to have access to what users are asking of you. There’s also live testing, which is the most time-consuming option, but also potentially one of the most rewarding since there’s not much to infer.
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