Managing any ecommerce property is difficult and requires a lot of thinking, analysis and optimisation to make it profitable.
As the shopkeeper finds bottle necks in shopping cart process, he will then need to decide on the strategies to be used in order to recover the cart abandonment. Below you may find some of the key strategies in Cart Abandonment recovery. These are explained as strategic means to improve your shopping cart process as they are none site related tactics and are affected by either visitor behaviour patterns or a company’s strategic business decisions.
There can be many strategies one could think of using to boost their shopping process. This time I want to revisit these seven 7 key strategies for cart abandonment recovery that I have shared:
Concentrating on understanding how visitors’ current or historic behaviour shows affect on cart abandonment. Example: When visitor has shown certain pattern of behaviour then predefined tests and targeting recipes are run.
Concentrating on single abandonment step on a shopping cart process and studying affects of that step to conversion success.
Concentrating on shopping cart value based testing. Example: When cart value hits certain level then predefined tests and targeting recipes are run.
Concentrating on develoing the sales of those products that have the best product margin for the shopkeeper.
Using different recovery tactics to increase overall SKUs per order. Example sales tactics for this strategy: Buy one get another for free. Buy three get a giftvoucher for free. People who bought this also bought that.
Defining which recipes and which tactics to be used when showing the content at agreed day-parts. Example: Dayparting the content to be showed based on different day-parting methods I.E. Showing the Lunch-hour Banner for visitors entering the site during 11-14 and the Dinner Banner for visitors entering the site between 17-20.
Utilizing prospect and customer data in order to understand the customer profiles better. Example: Serving the test content based on previous bought items, birthday, sex, age, location, interest or merely any customer data that can affect the sales by appealing on the visitor based on information that is known about him or her.
Have you used other strategies that you could share with us and our friends? Please send them to us by email, chat or comment.