There is no one size fits approach for setting up Analytics. Different companies have different requirements like the below:
- A dating app or jobs portal
- Would want to know how to match users
- Which types of offers are leading to more paying subscriptions
- Are there any dead ends aka no mans land pages or error screens
- A retailer would
- Want to know which products to promote and to whom,
- Events leading to conversion
- Optimizing the key conversion flows/ key user journey
- Time spent on different categories/products
- A loyalty website would want to know which rewards are resonating and with which tier members
- A subscription business would want to know the reasons for churn and retention among all the above things from its Analytics Team
So, do you see a trend ?
It is all about
- Defining the primary objectives of the site and then
- Assigning KPIs or metrics to track these objectives
These KPIs or metrics are the most important Analytics metrics you need to set up on site. In general, I have seen a pattern for different verticals. The metrics & dimensions fall into below categories:
- Traffic & its sources
- Conversions
- Content/ pages on the site
- Campaigns
- Audience behavior on the site
- Errors/ No mans land