For example, you may analyse the journeys on your website and identify that people who visit a page is more likely to purchase than those who do not visit that page. With behavioural data pointing towards the potential for this page, it would be worth testing whether offering a bespoke content message or discount offer to users when they arrive at that page drives conversions. It could be that your customers have left items in their baskets and not completed their purchase, like this example here from Nordstrom:
Once you’ve established lifecycle groups and set up the customer relationship management infrastructure to categorise customers in this way, you can begin to deliver targeted messages. This can be done either by personalised on-site messaging or through automated emails which can be automatically triggered by different customer engagements or behaviours.
Interests: This is a big one, and Amazon is a prime example of the impact it can have. Recommendations are made based on purchase history, which offers a more personalized message that is more likely to drive engagement and, ultimately, a purchase. What are the bottom-line interests in B2B marketing? How your product or service saves time, money, and resources.
You can assess the interests of individual list members by monitoring which pages they land on, and where they go from there. The process is explained by this example from Airbnb. They use click behaviour to ascertain the destination preferences and travel styles of customers and base their follow-up emails on those preference profiles. It's intensely specific, but it gets results!
When you're using email as a marketing tool, you're working on a pretty personal basis. This isn't ‘drive-by' stuff -you're directly targeting customers from their inboxes. There's a huge amount of potential which comes with this kind of marketing... but you'll only reap that potential if you REALLY understand both the marketplace you're operating from, and the audience you're talking to.