Example: Promodo + eSputnik case
Example: Promodo + eSputnik case
This is the case of "Dnipro-M" from Promodo + eSputnik. Since 2022, the company has focused on retention marketing and the use of a Customer Data Platform (CDP). This reflects the concept discussed earlier: use all data, aggregate it and use it in mailings, combine data in a single customer profile and add recommendations. Here are the main tasks they faced.
Task
The App Inbox screen you see shows the results of their work. This channel is relatively australia rcs data new, and during the full-scale war on this channel, demand for it has increased significantly. Here again, it’s about loyalty, because newsletters are sent only to those who are logged in and about whom we have information. We don’t push messages to everyone at once. This communication is also personalized. For example, if you see “Rate your shopping experience” , then this is already an element of personalization. But “Discounts up to 30%” is a general newsletter. There is also “Abandoned cart” , and “Abandoned viewing” , and “Abandoned cart price reduction” . All this is designed to increase engagement and the number of purchases.
How do algorithms work on the site?
More details at the link
There are many different algorithms at work on the site. One of the main ones is “Buy with this product” . If a user views a product page, they will see recommendations, including other popular products and products similar to the one they are considering.
How do algorithms work on the site?
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