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    Customer Analytics Stocks List

    Symbol Grade Name % Change
    VRNT D Verint Systems Inc. -1.83
    TTEC F TeleTech Holdings, Inc. -1.16
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    Related Industries: Business Services Software - Application
    Related Stock Lists: Actionable Intelligence Brand Management Broadband Business Intelligence Call Recording Software Computer Security Customer Experience Systems Customer Management Customer Relationship Management Cyber Security E-Commerce Experience Management Solutions Information Management Intelligence Solutions Internet Protocol Law Enforcement Microeconomics Multiplexing National Security Physical Security

    Related ETFs - A few ETFs which own one or more of the above listed Customer Analytics stocks.

    Symbol Grade Name Weight
    DAT A ProShares Big Data Refiners ETF 2.2
    DEEP B Roundhill Acquirers Deep Value ETF 1.11
    QQQS C Invesco NASDAQ Future Gen 200 ETF 0.83
    FCLD A Fidelity Cloud Computing ETF 0.77
    XSW B SPDR S&P Software & Services ETF 0.59
    View all Customer Analytics ETFs...
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    Compare DAT to XSW Compare DEEP to FCLD Compare DEEP to XSW

        Customer Analytics Stocks Recent News

        Date Stock Title
        Nov 14 VRNT Verint Systems Inc. (VRNT): Transforming Customer Engagement with AI, Saving $10.5 Million Annually for a Leading Telecom Company
        Nov 13 TTEC TTEC Celebrates Growth in India with Milestone Anniversaries
        Related Industries: Business Services Software - Application
        Related Stock Lists: Actionable Intelligence Brand Management Broadband Business Intelligence Call Recording Software Computer Security Customer Experience Systems Customer Management Customer Relationship Management Cyber Security E-Commerce Experience Management Solutions Information Management Intelligence Solutions Internet Protocol Law Enforcement Microeconomics Multiplexing National Security Physical Security
        Customer Analytics

        Customer analytics is the process of analyzing customer data to gain insights into customer behavior and preferences. This data can be used to inform marketing strategies, improve customer service, and optimize product offerings. It can also be used to identify customer segments and target them with tailored messages.

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