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Apr 12, 2022
In General Discussions
One of the apps that I regularly use on my phone is Ibotta, a tool that gives users fixed cashback after shopping at local and online stores. It's easy for me to scroll through offers to see if I've bought something recently, then just scan the receipts to earn cash.As a registered Ibotta member, I also receive their marketing emails. At first I thought they would be buy email list easy to delete, until I started opening them to see that most of their messages were personalized to me. The app provides easy access to customer behavior data and preferences, such as the stores people buy buy email list from and the items they regularly splurge on. Because they know their users. The brand is able to send messages that include future shopping lists (based on items a user adds on the app), as well as notify its readers when their favorite stores schedule special sales.stop and shop marketing newsletter My local grocery store, Stop & Shop, takes a similar approach. They email me weekly to let me know which of their sales most closely buy email list match my recent purchases. (Since my daughter ingests strawberries almost as soon as I walk in the door, I get a lot of fruit sales in my weekly newsletters.) Plus, they also send me coupons on items I've already purchased, which pushes me to "clip them" and automatically place the item on an online shopping list. It also builds brand loyalty as I will buy there rather than their competitors who don't have the relationship with me. While the theme here might indicate that I buy email list only like emails that help me save money, the real driving force behind my preferences is that both companies take the information they've acquired about my habits and my behavior and use them in a way that provides additional benefits to me as a consumer. A newsletter focused on content rather than promotion can take the exact same approach via personalized content recommendations based on micro-segmentation or even, using AI tools, something as granular as past browsing behavior.
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