Although we may not like the idea of Facebook and other social media mining data about us, there is something valuable about the concept of data mining that can be applied to healthy couple relationships. You may think this is an odd application but hear me out.
Every day, social media platforms collect information about our likes, dislikes, things we have thumbed-up and thumbed-down, things we follow, etc. They take this information and use it to successfully market products, services, and ideas for us to see as we spend endless hours online.
If you want to have a healthy and thriving couple relationship, you need to engage in the practice of daily mining data about your spouse or partner. Couples in strong relationships collect information about their spouses’ or partners’ likes and dislikes, things they follow (hobbies and interests) and things they have thumbed-up or thumbed-down (things they enjoy seeing, hearing, doing, tasting).
Healthy couples take the data they have mined and create a consistent, but ever evolving relationship campaign that will win over their spouses or partners again, and again, and again. Couples who mine data and use it benefit their relationship will find that fondness and love will grow deeper and stronger. Expressions of love will start popping up in ways and in places that they do not expect to see, in the
same way that ads for the items you were just looking at on Amazon.com pop up in a side bar while you are reading the news online.
When data mining your relationship, it is important to remember that you are looking for gems, and not digging up dirt about your spouse or partner. The idea is to seek out and store up all the good things about your spouse or partner. As you collect the mined data about your spouse or partner, you need to use it to do things for or with him or her that will bring you closer together. As you do this you will find
that the “likes” and “thumbs-up” you receive will pale in comparison to any “like” or “thumbs-up” you will ever receive on social media. #relationshipdatamining
