Use Cases with LiveRamp

Here are a few use cases to get you started:

Advanced Segmentation

• Key Metrics:
  • return on ad spend
  • customer acquisition
  • customer lifetime value
• Description: Invest advertising budget in the most strategic customer segments by sharing and accessing data with trusted partners, deepening customer insight.
• Use Case Inputs:
  • Audience data
  • Loyalty program data
  • POS/historical transaction data
  • Website or app activity data

Closed-loop Measurement

• Key Metrics:
  • return on ad spend
  • measurement effectiveness
  • customer acquisition
• Description: Increase return on advertising spend with better measurement, tying cross-channel customer behavior directly to sales and optimizing campaigns.
• Use Case Inputs:
  • Audience data
  • Media spend & campaign data
  • POS data
  • Loyalty program data
  • CRM data
  • Website or app activity data

Media Delivery

• Key Metrics:
  • return on ad spend
  • measurement effectiveness
• Description: Drive media efficiency and effectiveness by understanding reach and frequency across channels, audiences, creatives, and geographies.
• Use Case Inputs:
  • Audience data
  • Media spend & campaign data

Incrementality and Lift

• Key Metrics:
  • awareness, reach, and frequency
  • engagement + conversions
  • return on ad spend
  • measurement effectiveness
  • customer acquisition
• Description: Understand the true value of data partners by analyzing the success of each relationship and desired outcomes on every campaign channel.
• Use Case Inputs:
  • Audience data
  • Media spend & campaign data
  • POS data
  • Loyalty program data
  • CRM data
  • Website or app activity data

Co-Marketing

• Key Metrics:
  • awareness, reach, and frequency
  • engagement + conversions
  • return on ad spend
  • customer acquisition
• Description: Enable powerful co-marketing, maximizing the reach and impact of shared campaigns.
• Use Case Inputs:
  • Audience data
  • POS/historical transaction data
  • Loyalty program data
  • Website or app activity data

Personalization

• Key Metrics:
  • engagement + conversions
  • return on ad spend
  • customer acquisition
• Description: Deepen customer relationships and drive sales by using data collaboration to deliver more relevant messages and personalized experiences across channels.
• Use Case Inputs:
  • Campaign data
  • POS/historical transaction data
  • Loyalty program data
  • Website or app activity data
  • Attribute data (demo, behavioral, lifestyle, etc.)

Media Spend Optimization

• Key Metrics:
  • measurement effectiveness
• Description: Increase return on marketing investment with data collaboration that unlocks critical measurement capabilities and allows you to make more informed budget decisions across channels and customer segments.
• Use Case Inputs:
  • Campaign exposure data
  • POS data
  • Marketing data
  • 3P consumer data
  • Website or app activity data

Multi-touch Attribution and Customer Journey Mapping

• Description: Develop a more sophisticated understanding of the value contribution of each touchpoint in the customer journey so you can invest your marketing budget where it has the greatest impact.
• Use Case Inputs:
  • Paid and owned campaign data
  • Website or app activity data
  • Social media data
  • POS data
  • Loyalty program data