Using third-party interest data to generate more accurate customer profiles

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Using third-party interest data to generate more accurate customer profiles

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In addition to own data, marketers can also obtain information about potential visitors' off-site behaviors and preferences from third-party data. For example, some websites can provide online customer behavior data. These are usually user behavior data collected by screening specific users and collecting questionnaires, or through website membership information. The power of

an AI- driven tool is that it can simultaneously analyze billions of list of belgium whatsapp phone numbers cross-device data to identify consumption paths and predict how consumers move between different devices, such as: AIQUA proactive customer interaction Optimize the platform . The operation behind it can process huge amounts of data from thousands of marketing campaigns at the same time, and parse out the interests and keywords of different users. Then you can use the insights it generates and supplement it with your own data to segment customers in a more precise way.

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Finally, marketers can design exclusive personalized website marketing content for each segment. AI- driven tools can also perform further language analysis on customers' off-site browsing content and obtain more detailed keyword classifications, such as subdividing sports categories into "basketball" and " FIFA ", or dividing The technology category is divided into “Bitcoin” and “Virtual Reality”. For example, depending on the content of the articles viewed outside the site, the intentions of customers visiting your website for the first time are also different. Some are just shopping, some are planning an animal trip to Kenya, and some want to arrange it. Tuscany wine tasting tours and more. Based on the interest keywords of different audiences, you can further segment them into "outdoor adventurers" or "wine lovers" and present marketing content tailored to them when they first visit.
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