What kind of abstraction is user happiness? Some even try to measure it. Simply put, happiness is a momentary surge of positive emotions in a client associated with using your company’s services. It is unlikely that a client will really feel happy for a whole year if he successfully bought a coffee machine from you. Happiness passes quickly.
You can even find some poetic comparison. Like: “your service is a meteor in the night sky, the user’s happiness is the meteor’s trail, and loyalty is the memory of this trail.”
It is already worth working with loyalty. It is logical that the more meteors we have,
The more stable the client’s
memory (read: loyalty) will be. So, we make the user feel momentary happiness as often as possible.
Do you want to please your clients? Wait, do you even know mexico phone number data them? Do you know what they like? That’s right, you need to start with reconnaissance, analyzing your audience.
Follow your users. Find out what is important to them. Find out all the ins and outs — but gently and unobtrusively. Set up metrics — and watch, watch.
research
Loyalty is closely related to personalization, in other words, to that very “individual approach” to each client. To make personalized offers — you need data about users, their interests and preferences.
Make your website or product easier to use
Web personalization will easily reduce the number of clicks to the target action. Analyze user actions and answer the following questions:
At what stage do they spend more
What actions are repeated more often than others?
Are there any processes that are too long?
How much time passes from the moment the user enters the site to the moment when he finds what he needs?
How many clicks does it take?
Product recommendations on the main page can reduce the time it takes to find the right product to a second. No long searches in the catalog, complex filters and other “brakes” on the way to the target action. We will simply add links to the desired products to the first page. If you have collected high-quality and detailed data about users, the recommendations are likely to hit the mark.
Shorter path to what you are looking for, less searching on the site, faster positive reviews from satisfied purchase. Happier user.
Draw attention to the most relevant functions
For some, function X is very important when they decide bw lists whether to buy a product or not. Let’s say this is a product comparison function for one and a “find similar” function for another.