Marketing Evolution Announces Scenario Planning & Media Lift Reporting for Marketing Cloud Intelligence on Salesforce AppExchange, the World’s Leading Enterprise Cloud Marketplace

Marketing Evolution announced it has launched Scenario Planning & Media Lift Reporting for Marketing Cloud Intelligence on Salesforce AppExchange, empowering customers to access privacy-compliant person-level insights about cross-media exposure impact on consumer response for every media channel and market. These insights are delivered while campaigns are in-market to improve KPI conversions at a lower cost per conversion. Marketing Cloud Intelligence powers three sections: Planning, Reporting and Insights.

  • Planning enables media budget optimization. Advertisers can review existing campaign scenarios and create new constrained scenarios on-the-fly. Results and recommendations are available in minutes freeing up resources to make decisions instead of prepping data and doing analysis.
  • Reporting provides a customizable pivot builder of granular market mix media placement and attribution data so marketers can assess ROAS.
  • Insights provides an overview of media activity and attribution results via interactive charts to support marketing transparency.

Marketing Attribution and Media Mix Modeling Innovation

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Marketing Evolution‘s Scenario Planning & Media Lift Reporting App

  • Automatically generates ‘always on’ (media) scenario plans with prescriptive recommendations for every media placement based on actual marketing performance derived from Marketing Cloud Intelligence connected, unified marketing data to optimize KPI outcomes with the most effective and efficient marketing mix detail.
  • Delivers in-depth insights to understand synergies between media channels and placements within channels with cross-media exposure effects along the consumer conversion path to help marketers understand the full impact of media investments and ROAS.
  • A closed-loop fully automated market/media mix, attribution, planning software app designed and engineered for marketers to make better decisions faster.
    • Automated data intake via Marketing Cloud Intelligence unified marketing data reduces data science resource requirements and minimizes time to insight.
    • Automated data modeling using AI/machine learning service reduces dependency on analytic professionals freeing them up to focus on strategic projects.
    • Automated delivery of insights and recommendations enables advertisers to make media allocation adjustments in enough time to impact ROAS.

SOURCE: PR Newswire

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