The more you know about your users and customers. The more likely you are to deploy effective strategies to personalize the customer experience.
Personal information, behavioral data on preferences and. Purchasing habits, interests and psychographic data, as we know, are the basis of an effective profiling strategy, but what can be learned about the users who interact with a brand’s digital and non-digital properties or with its ADS campaigns?
One statistic stands out italy phone number data significantly: in Italy, only 1.8% of visitors, on average, choose to disclose their data and leave their contact details on a website or e-commerce site .
This means that over 98% of users interact anonymously. A significant figure that represents a great challenge but also a huge opportunity. In fact, even when anonymous, users, during the various occasions of interaction with the brand, release valuable information (geographic areas from which they connect, devices used, content viewed, etc.) that can still be used to enrich profiles and give rise to subsequent personalization and progressive profiling activities.
This is where data enrichment processes come in , which, as the expression itself indicates, aim to enrich the user’s profile, whether known or anonymous .
Data Enrichment Strategy: Why is it so important?
“Data enrichment” means the how to make a marketing newsletter effective process by which user data and information are enriched and updated.
The goal, as you might guess, is to create a complete user profile updated in real time , that unified view of the customer that, as we know, is the basis of any effective strategy for improving the customer experience.
>Faced with the announced uab directory disappearance of third-party cookies, data enrichment activities have taken center stage, particularly with regard to anonymous user profiles .
As we know, audiences profiled using first-party data represent a significant asset for marketers, advertisers and publishers, but their limited size often makes it necessary to adopt different logics in order to achieve digitally relevant reach and performance.
If we want to focus on the types of data that can be enrich, these are essentially:
- demographic data;
- geographic information;
- behavioral data;
- transactional data;
- contact details;
- psychographic data.
A data enrichment strategy allows you to know your audience in ever-increasing detail.
Data Enrichment with Blendee
Blendee’s Marketing Operating System enables efficient data enrichment.