LeadsRx has been acquired by Unbounce! Read about it here.

Use MULTI-TOUCH ATTRIBUTION to POWER MARKETING PERFORMANCE

Learn how marketing analytics from LeadsRx is used to:

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Select from 7 different attribution models including algorithmic attribution that self-adjusts daily based on consumer behavior

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Leverage the LeadsRx Universal Pixel for deterministic and anonymous data capture, and, include probabilistic attribution for television and radio ads

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View attribution results using a variety of LeadsRx reports, or pull data using our Open API into various reporting systems

“I like how granular their insights and reporting gets. It paints a detailed picture on the customer journey and each touchpoint within.”

Roy M.

LeadsRx Customer

BOOK A PRODUCT DEMO

On this short demonstration you will learn how marketing analytics from LeadsRx is used to:

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Access powerful insights culled from real-time cross-channel analytics data

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Leverage the power of built-in identity resolution while complying with consumer privacy regulation

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Measure regional, national and syndicated TV and Radio campaigns 

“I like how granular their insights and reporting gets. It paints a detailed picture on the customer journey and each touchpoint within.”
Roy M.

LeadsRx Customer

LeadsRx Attribution

  • Which marketing campaigns are generating revenue?
  • Which channels or combination of channels are performing well, and which are not?
  • How can marketers trust insights from the likes of Google and Facebook, who naturally report high clicks and views?

MTA does the math so a marketer can compare side-by-side how various touchpoints are performing and contributing to sales.

LeadsRx Journey

  • How does the consumer develop a trusting relationship with a brand?
  • What steps did they take to learn more about a company?
  • What action did they take to convert from shopper to customer?
  • What helps the customer return to buy more?

By enriching the understanding of how consumers build relationships with a brand, marketers can deploy programs that better meet consumer needs while reducing customer acquisition costs (CAC) and customer lifetime value (LTV).