PeopleView employs semantic analysis and social listening technology to label the browsing habits and characteristics of over 18 million devices in Taiwan every month through eLAND’s exclusive EID. By using WebFingerprint™ technology for accurate matching, enterprises can weekly update the interests, purchase intent, and brand preferences of their members, therefore enhancing the depth of their membership database. PeopleView unlocks the potential for precision marketing!
Through off-site observational approach, PeopleView illustrates members’ browsing behavior and turns them into various categories of “behavioral labels”.
Enhance the individual EID by using various behavioral labels. This not only strengthens customer connections but also improves marketing strategies while ensuring the privacy of members.
Based on the audiences' frequently visited websites, the content they viewed, and the advertisements they interacted with.
Based on the audiences' frequency of browsing e-commerce websites, online behavior, interest in products, and engagement with advertisements.
Basic personal information, such as gender, age, browsing device, and more.
Including various industries and thousands of major brands, such as automotive, luxury, technology, and more.
Tags related to the retail industry, including cosmetics brands, clothing brands, and more.
Customizing labels based on the company's needs, such as specific car models, product models, or advertising text.
Continuously observing over 18 million non-repetitive active devices and more than 1,000 online partner websites each month, including PC and mobile webpages, as long as mobile and tablet apps.
Collecting off-site browsing content and behaviors of audiences through semantic analysis. Continuously analyzing and labeling members’ digital footprints, and creating real-time individual interest and intent profiles.
Owning hundreds of labels including audience attributes, interests, preferences, activities, interested products, topics, services, etc. Furthermore, PeopleView customizes exclusive labels to meet company’s needs.
Step 1.
Listing the websites and applications, embedding tracking code, and setting up data interface for member matching.
Step 2.
Using semantic analysis technology to apply labels to the audiences, then collecting all the data.
Step 3.
Automatcally matching members with labels, and starting to accumulate membership database assets within a week.
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