Loading
Einstein and Analytics in Marketing Cloud Engagement
Table of Contents
Select Filters

          No results
          No results
          Here are some search tips

          Check the spelling of your keywords.
          Use more general search terms.
          Select fewer filters to broaden your search.

          Search all of Salesforce Help
          Understand the Data That Einstein Uses

          Understand the Data That Einstein Uses

          Providing Einstein with good data makes it more likely to get good predictions. For Einstein predictive features, use data quality scores to understand the quality of the data that each Einstein app requires to generate predictions, insights, analytics, and more. Find data quality metrics on each Einstein app dashboard and Einstein Overview card.

          Considerations

          • Achieving a 100% data quality score isn’t the objective. Instead, use your current score as a benchmark for future results. When your data score is above the minimum threshold, you’re likely to see benefits from AI.
          • The longer Einstein is enabled and learning, the better your results are likely to be. Each Einstein app is unique, but most apps can deliver results within 90 days.
          • AI works best when it has lots of data to analyze. Using global data models for predictive apps boosts the amount of data used for making predictions. Global models safely harness the power of Salesforce to provide more accurate, actionable results.

          Transactional sends and test sends are excluded when generating your data quality score.

          • Einstein and Data Usage in Marketing Cloud Engagement
            Einstein is built on data. When using Marketing Cloud Engagement, review this table to understand the type of data used by Einstein features.
          • Global Model Data Opt In and Opt Out in Marketing Cloud Engagement
            Einstein intelligence is built on data. The more data Einstein has, the more powerful the resulting predictions. Most organizations don’t have enough data to build their own models. To give you more meaningful predictive AI, Salesforce builds global predictive models that scan for aggregate, anonymous trends across many Salesforce customers. To protect your customer data, your account is opted out of the global data model by default.
          • Gauge Your Einstein Engagement Scoring Data Quality
            Check your mobile app’s data quality score for insight about the engagement data that Einstein uses to predict your customers’ likelihood to engage. Data quality scores for Einstein Engagement Scoring are generated at the mobile app level only.
          • Data Residency
            Hyperforce is the next-generation Salesforce infrastructure architecture that gives you more choice and control over data residency. If your organization in India uses Hyperforce, Einstein can process data outside your geographical location. Japan and Australia maintain data residency in their local region.
           
          Loading
          Salesforce Help | Article