See Your Attribution Path
How it works

A Look Inside LeadsRx Marketing Attribution

LeadsRx Automatically Learns About Your Advertising

Install conversion pixel

1. Install the LeadsRx Universal Pixel

The LeadsRx universal conversion pixel is quick and easy to install directly on your website or through a tag manager. If your site is built using Wordpress, there's a LeadsRx plugin to get the pixel installed in just a few seconds. Place the conversion pixel on every page of your website for best results.

Define conversions

2. Define Conversions

LeadsRx needs to know what constitutes a conversion for your company. You can pick whatever you'd like... new accounts, requests for information, eCommerce purchases, or even in-bound telephone calls. Set up as many as you need to see which touchpoints are driving which conversions.

Define marketing campaigns

3. Sit Back and Wait

Now the magic happens! LeadsRx automatically finds existing advertising campaigns by monitoring traffic to your website. In just a matter of days, LeadsRx find everything from AdWords campaigns to re-targeting, social referrals, SEO, and more.

Optimize Your Spend Across All Channels

Marketing attribution provides key insights for both B2B and B2C companies to help highlight ways to optimize spend across marketing channels. LeadsRx shows exactly which marketing programs are resulting in conversions by tracking all marketing touchpoints across all channel, both online and offline. With integrated cost calculations, Return on Advertising Spend analysis, and demographic segmentation, LeadsRx gives marketers precise insights into the best way to allocate marketing spend.

  • Perform attribution across both online and offline channels
  • Let the system automatically discover marketing touchpoints you have running
  • See Return on Ad Spend by marketing channel
  • Designed for quick, summary-level answers
  • Get full conversion attribution using a variety of attribution modeling techniques
  • Perform demographic segmentations and customer journey analysis