Media

Unlock Cross Sell & Upsell Through Targeted Advertising

  • Personalize ads by tracking who viewed them, consumed content, and their interaction times to tailor the media experience.
  • Segment based on consumption and boost retention by predicting customer needs when they disengage.

Use case summary

Gain a clear picture of who interacts with all of your advertising spend and fix the leaky bucket of duplicate and mis-targeted ads. Improve the impact of ads , and increase the efficacy of your advertising spend.

Industry

Salesforce products used

Data Sources Used

Ad Server Data
Audience Behavioral Data
3rd Party Validation Data
Data Cloud for Marketing
3rd Party CDPs
Media Consumption Data
Demand Side Platform Data
First-Party Customer Data
Third Party Advertiser Data

Apply Insights and Predictions

By bringing together the data sources referenced in this use case, teams can build calculated insights or run predictive models with Data Cloud that will allow them to make smarter decisions or power new automations.

Calculated Insights Create customer lifestime value scores. Combine behavioral and consumption data for insights related to ad interactions and overall engagement.
Predictive Models Build models that can predict which ads will perform best with customers based on historical advertising data & performance.

What’s the impact?

Higher Audience Engagement
Higher Advertising Sales Revenue
Increase Operational Efficiency
Improve Margins
Attribution
Efficacy of Spend