The methods for re-engaging the customer segments are similar. When interacting with such customers, you need to determine:
Average periods of inactivity for fickle users and those who are uk phone number database most likely already asleep (who haven't launched the app in a while and haven't returned at the expected time).
The attractiveness of the offers with which you want to engage users. For example, you can first try to get the customer's attention back with content recommendations based on their attributes and actions. If that doesn't work, the next step may be a promo code for a purchase.
Since users from these segments don't run the app, you have to reach them through push notifications, emails, or SMS. Here are some ideas for win-back messages:
Talk about new app features that have been added during the user's absence. It's important to emphasize not how good your product is and what customer pains it can solve.
Send product recommendations or content individually tailored to the user.
Engage through social interaction. You can notify that a person on a customer's contact list has registered in the app. Or send a list of bestsellers or other popular content from other users.
Offer a free test period of paid features, a product discount, or other monetary bonuses. But be careful – if the giveaway is not carefully thought out, it can lead to losses for the business in the long run.
To increase the chances of conversions, use deep links and send the customer to a specific page of the app, not the home screen. This way, their attention won't be scattered and they will be able to focus on the target action.
Notification options for engaging a sleeping audience
Notification options for engaging a sleeping audience
Purchase power
According to the Pareto principle, 20% of customers generate about 80% of the profits. So it's better to understand which groups of users to focus on.
The most obvious way to select valuable customers is to identify those who spend the most money. However, within that group, additional segmentation may be necessary. For example, two users have spent the same amount on airline tickets in the past six months. But one chooses business class and flies from time to time while the other buys cheaper tickets and travels more often. Such details should be taken into account when preparing personalized offers.