Tag: nepal mobile database

The best, most effective campaigns come from a better understanding of your audience: in many of our blog posts. We have repeatedly addressed the data-driven strategy issue of audience profiling and segmentation. Emphasizing how fundamental it is to bringing a successful marketing strategy to life .

The right message, to the right person, at the right time: this is the secret to a customer-oriented marketing strategy. Which makes the personalization of the customer experience the cornerstone .

But what data is really interesting to better profile users?

What are the best strategies to implement in the B2B and B2C sectors?
Let’s find out together.

User profiling and data-driven approach: no strategy without information.
While effective audience profiling and segmentation nepal mobile database are the foundation of a successful marketing strategy. They cannot be separated from careful data analysis and collection. The more information that can be tracked, collected, and normalized into the single customer view. The more you will know about the habits, interests, purchasing behaviors, and browsing of your target users.

In such a context, the value of a Customer Data Platform. As we have already seen in a previous article , is fundamental precisely because of its ability to aggregate user data from multiple sources and touchpoints, both physical and digital .

The advantage? The ability not only to reconstruct the entire user journey , analyzing every aspect and interaction. But also to predict future interests and needs based on the study of the behavior of similar users.
>It is indeed on the data collected that artificial intelligence unleashes its full potential. Machine learning and predictive capacity make it possible to analyze and predict very precisely.  What will be the rewarding behaviors or requests for each individual user belonging to each identified cluster.

Audience profiling : what data and insights to start with data-driven strategy

The more data and information we can collect about our audience , the more advanced profiling and segmentation methods we can implement.
>But if for many data it is enough to track the user’s loud based attacks browsing and purchasing behavior in digital properties. For others Integration with external systems must be evaluated such as CRM. Ticketing systems, points of sale, to name the most common sources, or set up Advanced profiling via forms or surveys .

In general, however, user information that can be used, at least for a simpler profiling mode, can be assigned to the following macro-categories.

demographic data , i.e. all information such as name, first name, gender, address, telephone, email, company, profession, etc.

Are you a new customer, a one-time buyer or a repeat customer? Segmenting your audience based on the user lifecycle is essential to understand. Who you are dealing with and choose the best strategy to engage or reward users to increase their value over time , optimizing initial acquisition costs.

Analysis of customer lifetime value but not only

The other analysis model aimed at audience profiling that is particularly interesting in the field.

Commerce is that of the RFM matrix which combines argentina numbers the evaluation of the temporal aspect with the monetary aspect and that linked to the perception of the user’s own actions.

Expanding the cluster of users who buy more often, spend more and have more recent purchases is every marketer’s dream. It is, in fact, the cluster on which resources and energy are worth investing because it is the most profitable for the company.

This is why RFM analysis can be fundamental in order to design a commercial offer and a targeted communication proposal for effective marketing loyalty and customer loyalty strategies .