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  2. Customer analytics - Wikipedia

    en.wikipedia.org/wiki/Customer_analytics

    Demographic, lifestyle, preference, loyalty data, behavior, shopper value and predictive behavior data points are key to the success of customer analytics. [citation needed] Retail management Companies can use data about customers to restructure retail management. This restructuring using data often occurs in dynamic scheduling and worker ...

  3. Mobile web analytics - Wikipedia

    en.wikipedia.org/wiki/Mobile_Web_Analytics

    Collecting mobile web analytics data has proven to be less straightforward than traditional web analytics due to a few factors. Traditional analytics software on a mobile website only provides data for HTTP requests coming from the most advanced mobile browsers; such as those found in the iPhone and other smart phones and PDAs, with no data on other mobile devices browsing the site.

  4. Persona (user experience) - Wikipedia

    en.wikipedia.org/wiki/Persona_(user_experience)

    Academic scholars have proposed several methods for data-driven persona development, such as clustering, factor analysis, principal component analysis, latent semantic analysis, and non-negative matrix factorization. These methods generally take numerical input data, reduce its dimensionality, and output higher level abstractions (e.g ...

  5. Customer data - Wikipedia

    en.wikipedia.org/wiki/Customer_data

    Customer data or consumer data refers to all personal, behavioural, and demographic data that is collected by marketing companies and departments from their customer base. [1] To some extent, data collection from customers intrudes into customer privacy , the exact limits to the type and amount of data collected need to be regulated.

  6. Customer insight - Wikipedia

    en.wikipedia.org/wiki/Customer_insight

    A customer insight, or consumer insight (CI), is an interpretation of trends in human behaviors which aims to increase the effectiveness of a product or service for the consumer, as well as increase sales for the financial benefit of those provisioning the product or service. [1] There is an overlap between market research and

  7. Data management platform - Wikipedia

    en.wikipedia.org/wiki/Data_management_platform

    The data stored may include customer information, demographics, and mobile identifiers or cookie IDs, which the DMP will analyze to allow businesses to create targeting segments for advertisements. DMPs can help brands learn more about their customer segments to inform acquisitions strategies and increase their sales.

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