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            Differences Between Unified Reporting System Reports and Other Reports

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            Differences Between Unified Reporting System Reports and Other Reports

            Get to know the differences between the unified reporting system and other Marketing Cloud Engagement reporting tools.

            Required Editions

            Available in: Marketing Cloud Engagement Pro+, Corporate+, and Enterprise+ Editions

            Data Availability

            Data availability and refresh policies in the unified reporting system differ from other reporting systems. This table compares data availability in the unified reporting system to Marketing Cloud Intelligence and data views.

            Category Unified Reporting System MC Intelligence Data Views
            Channels supported
            • Email
            • SMS
            • WhatsApp
            • Push Notification
            • Journey Events
            • Email
            • WhatsApp
            • Push Notification
            • In-App Message
            • Email
            • SMS
            Channel data set coverage High Moderate High
            Data update timing for send and engagement events New sends appear within 24 hours. After that, the reporting system shows new data within 1 hour for email messages, or within 30 minutes for SMS, WhatsApp, and mobile app messages. Within 24 hours Near-real-time
            Data update timing for metadata updates Within 24 hours Never Near-real-time

            Data Granularity

            With the unified reporting system, you can view some data that isn't available in other reports. This table compares the data granularity capabilities of the unified reporting system to Marketing Cloud Intelligence and Data Views in Marketing Cloud Engagement.

            Category Unified Reporting System MC Intelligence Data Views
            Aggregate Metrics

            Yes

            		 Yes No
            Subscriber-Level Data Yes No Yes

            Functionality

            This table compares the features and functionality found in the unified reporting system to the features of other reporting systems for marketing data.

            Category Unified Reporting System MC Intelligence Data Views
            Required technical skills Can be used with or without writing code No coding required Coding required
            Integration with Salesforce Platform Shared toolset connected to other Salesforce products and datasets No No
            Custom dashboards Yes No No
            SendLog and custom data sets Yes No Yes
            Custom formulas and metrics Yes No Yes

            Dimension and Metric Names

            Some of the metric and dimension names used in reports are different between the unified reporting system and other systems that contain Marketing Cloud data. This table lists some of the most commonly used metric and dimension names.

            Channel Unified Reporting System MC Intelligence Reporting Type
            WhatsApp WhatsApp Reads WhatsApp Opens Metric
            WhatsApp Read Rate WhatsApp Open Rate Metric
            WhatsApp Sender Display Name WhatsApp Channel Name Dimension
            WhatsApp Failed Deliveries WhatsApp Bounces - Failed and WhatsApp Bounces - Not Sent Metric
            WhatsApp Failure Rate WhatsApp Bounces - Failed Rate and WhatsApp Bounces - Not Sent Rate Metric
            Email Email Message Purpose Email Send Classification Dimension

            In the unified reporting system, the WhatsApp Failed Deliveries metric is the sum of two Marketing Cloud Intelligence metrics: WhatsApp Bounces - Failed and WhatsApp Bounces - Not Sent. Similarly, WhatsApp Failure Rate combines the WhatsApp Bounces - Failed Rate and the WhatsApp Bounces - Not Sent Rate metrics.

            Other Differences

            This table describes other minor differences that you might encounter when comparing reports created in the unified reporting system to reports you create elsewhere.

            Category Unified Reporting System MC Intelligence Data Views
            Date ranges Date ranges are inclusive. For example, for the date range January 1–January 31, reports include data for January 31. Date ranges are inclusive. Date ranges can be inclusive or exclusive, depending on how you write queries.
            Filtering
            • Dashboards don’t include email test sends.
            • All dashboards filter email sends marked as “Suppress from Reports” or with isFalseBounce. However, this data is available through custom pivot tables and reports.
            • Dashboards and reports filter engagement metrics from deleted contacts, journeys, and sends.
            • SMS data and metrics include only terminal events. Intermediary Delivery Receipt states aren’t available.
            • Included dashboards filter test sends.
            • All dashboards, pivot tables, and reports filter sends marked as “Suppress from Reports.”
            • Reporting data retains aggregated engagement metrics from deleted contacts, journeys, and sends.
            		 Data views filter deleted contacts.
            SMS event categorization
            • Provides explicit DELIVERED and UNDELIVERED events.
            • Provides explicit SUBSCRIBE, UNSUBSCRIBE, and UNKNOWN_KEYWORD events.
            • Provides generic delivery events.
            • Provides generic MobileOriginated events for opt-in, opt-out, and unknown keyword events.
            • Provides generic delivery events.
            • Provides generic MobileOriginated events for opt-in, opt-out, and unknown keyword events
            Time zone Data is stored in UTC, but reports use the time zone set in Marketing Cloud Next. Based on the parent business unit’s time zone. Based on Central Standard Time.
            Historical data From the first time you connect Marketing Cloud Engagement, up to 90 days of historical data is available. Data collected after that is kept indefinitely. From the first time you load, up to 90 days of historical data is available. Data collected after that is kept up to 2 years Data views retain only the past 6 months of data.
             
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