• Strategies for responsible personalization and their use at Salesforce: Knowing the data you need
  • At Salesforce
  • Trends in e thic al marke t ing




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    sf-418-trends-in-ethical-marketing-guide-081623

    8%
    Loss of its customer data
    1
    A lack of embedded capabilities for things like ethical data 
    management can burden marketers with
    8-12%
    Productivity loss
    1
    1 Navigating the Value of Ethical Personalization, Valoir (August 2022)


    9
    TRENDS IN E THIC AL MARKE T ING
    SALE SFORCE
    Target interests, not demographics:
    To help develop trust over time and 
    demonstrate authenticity by responsibly using customer data, consider 
    marketing results based on explicit intent. Imagine you run a clothing retailer. 
    You could collect information about a customer’s gender identity and match, 
    say, offers for running skirts to customers who identify as women. But you 
    could just as easily ask the same customer what types of clothing they like, 
    and market skirts to people who say they want to buy skirts — after all, some 
    people prefer to run in shorts. That way, you’re matching an opportunity you 
    know exists to an offer you know is relevant.
    Strategies for responsible personalization and their use at Salesforce:
    Knowing the data you need: 
    Investing in security for customer data is good, 
    but the most secure data isn’t stored. Digital privacy laws expect companies 
    to respect end users’ rights to data minimization. That means collecting and 
    retaining only the minimum amount of personal data necessary to fulfill the 
    specific purpose for which it was shared. If you don’t need certain data, don’t 
    collect it.
    At Salesforce:
    To navigate the tension between privacy and data value, we 
    build moments of review to prompt marketers to reflect on what information 
    is being collected and whether or not it’s valuable for data-driven marketing 
    and segmentation. 
    At Salesforce:
    As artificial intelligence (AI) takes on more of the work of 
    personalization, there needs to be transparency into why these models 
    provide users with their experiences. We release model cards that act like 
    nutrition labels for AI models. This allows our customers and users to have a 
    better understanding of how the AI model was trained, how it works, and to 
    provide transparency to all stakeholders so that they can be confident in the 
    results of ethical targeting.
    There’s no single correct approach to 
    ethics. In fact, accepting the subjective — 
    and often contested — nature of values is 
    a big part of making sure that a marketing 
    organization serves communities with 
    different experiences, needs, and interests 
    equitably. But by looking at what’s worked 
    in the market and what consumers report 
    in research, we can start to build a picture 
    of what a responsible foundation for 
    marketing looks like.
    Salesforce recognizes the value of 
    ethical marketing and personalization, 
    especially as emerging technologies 
    redefine how marketers engage with 
    customers. Our Trusted Marketing 
    and Ethical Personalization principles 
    incorporate learnings from our research 
    and guide our approach to marketing.

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