Retail

Decrease cost per acquisition through targeted advertising.

  • Connect, federate, and harmonize data from any product and system into a complete view of every customer.
  • Engage smarter and ensure every message is targeted using real-time segments that update based on customer behavior.
  • Increase conversion rates by personalizing every moment in marketing journeys and CRM flows.

Use case summary

Identify high-potential target groups most similar to existing high-value audiences. Decrease cost per acquisition via lookalike modeling, advanced segmentation, and advertising activation to key partners.

Industry

Salesforce products used

Data Sources Used

Email & Mobile
Web & Apps
Sales & Commerce
Direct & Partners
In-Store Sales Data
Campaign Performance
Ad Budget and Spend

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 dynamic calculations such as Customer Lifetime Value and Average Monthly Spend to generate granular segments that are activated across digital channels.
Predictive Models Forecast the long-term value of customers based on their purchasing behavior, engagement scores, and channel interactions. Enables the retailer to focus targeted advertising on high-value prospects to reduce CPA.

What’s the impact?

Increase on Return on Ad Spend
Incremental Revenue Growth
Increase in Qualified Pipeline
Decrease in Cost-Acquisition