Right implementation is crucial.
- Take inventory of the website analytics data you already have, and which data do you need hence forth.
Dive into your data analytics to determine the kind of segmentation that can be applied. For example-If you know your target groups then you need to know which data needs to be applied to those target groups for an enhanced customer experience. This could mean setting up special campaigns, running surveys or sending personalised emails.
- Use the data to engage your target group better.
Once you’ve gathered the relevant data from your customer database, you’re ready to set up and run the targeted personalised email marketing campaigns to capture the interest of your target group.
- Data segment your customer database to an advanced level.
It means delving deeper into your data analytics for information you can use for data personalisation. For example, branching out the segmentation process beyond the obvious brackets of name, age, occupation etc. to applying it to a larger realm in terms of purchase history, brand preferences and browsing behaviour of the customer. You can also run specific campaigns like abandoned cart, loyalty email or preferred brand campaigns.