PeopleView employs Semantic Analysis and Social Listening technology to categorize the browsing habits and characteristics of over 18 million devices in Taiwan monthly 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, thereby deepening the richness of their customer database.
PeopleView unlocks the potential for precision marketing!
PeopleView employs Semantic Analysis and Social Listening technology to categorize the browsing habits and characteristics of over 18 million devices in Taiwan monthly 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, thereby deepening the richness of their customer database.
PeopleView unlocks the potential for precision marketing!
Utilize external browsing behavior tags for EDM distribution and marketing campaign planning to elevate member revisit rates and improve the effectiveness of membership management.
Precise advertising to boost website traffic, thereby achieve cost-saving benefits.
PeopleView, targeting specific demographics, is the ultimate tool for precision marketing!
Utilize external browsing behavior tags for EDM distribution and marketing campaign planning to elevate member revisit rates and improve the effectiveness of membership management.
Precise advertising to boost website traffic, thereby achieve cost-saving benefits.
PeopleView, targeting specific demographics, is the ultimate tool for precision marketing!
With the implementation of PeopleView, leveraging AI Semantic Analysis and audience recognition technology, we accumulate customers’ digital footprints to deepen member profiles.
This allows PeopleView to “calculate” strategies and business opportunities, creating a precise segmented marketing experience!
Through off-site observational approach, PeopleView illustrates members’ browsing behavior and turns them into various categories of “behavioral labels”.
With the implementation of PeopleView, enterprises can accumulate customers’ digital footprints to deepen member profiles.
The AI Semantic Analysis and audience recognition technologies allows PeopleView to “calculate” strategies and business opportunities, creating a precise segmented marketing experience!
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.
Assigning labels to off-site behaviors to deepen customer management
Informed by the audiences' frequented 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 enterprise's needs, such as specific car models, product models, or advertising text.
Continuously observing over 18 million unique active devices and more than 1,000 online partner websites monthly, including PC and mobile webpages, as well as mobile and tablet apps.
Collecting off-site browsing content and audience behaviors through Semantic Analysis. Continuously analyzing and labeling members’ digital footprints, creating real-time individual interest and intent profiles.
Owning hundreds of labels covering audience attributes, interests, preferences, activities, product interests, topics, services, etc. Additionally, PeopleView customizes exclusive labels to meet enterprise’s needs.
Listing the websites and applications, embedding tracking code, and setting up data interface for member matching.
Using AI Semantic Analysis technology to apply labels to audiences, subsequently collecting all relevant data.
Automatically matching members with labels, and starting to accumulate customer database assets within a week.
Copyright eLAND Information Co., Ltd.