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LeadsRx Moves Marketing Attribution Software into the Mainstream with Universal Conversion Tracking Pixel and Free Ad-Grader Tool Now Installed at 5,000+ Accounts

Tuesday, November 1, 2016 21:06
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1888 PressRelease – Marketing attribution software has traditionally only been available to enterprises with annual advertising spend in the tens of millions of dollars. LeadsRx changes this by introducing their new product suitable for any size budget including a free version called the Ad-Grader. With more than 5,000 accounts now using LeadsRx, the company has delivered attribution into the mainstream market.
LeadsRx, a provider of marketing attribution software, today announced availability of its 2.0 SaaS product including features that will make real-time attribution insights available to a broad category of mainstream marketers. Specifically, the company has introduced a “universal conversion tracking pixel” that records customer acquisition events from any advertising source across any marketing channel including offline channels like broadcast advertising. In addition, LeadsRx has launched a free tool that uses the pixel and machine learning to grade the performance of advertising campaigns giving marketers quick insights into which programs to optimize and which may be wasted ad spend. The new version of LeadsRx is available immediately.
Historically, marketers commonly installed technology provided by various ad vendors called “conversion tracking pixels” (or “marketing tags”) to determine which advertisements resulted in customer acquisition events. Because different pixels from different vendors do not communicate with one another, and not all vendors provide pixels, marketers had to download data into spreadsheets and take days to understand results. As a result, marketers had an incomplete and outdated picture of ad performance resulting in arbitrary placements and wasted ad spend. With the release of LeadsRx, marketers now have a single, universal pixel that works across all ad vendors and all marketing channels to provide un-biased analysis of ad performance in real-time.
“LeadsRx gives me immediate, comprehensive ROI insights across multiple touchpoints, channels, and tools. In one view, I can connect the dots between marketing programs, conversions, and revenue all in one easy to use tool,” said Glen Livingston, Chief Revenue Officer for Noosh, a leading provider of Content Marketing solutions.
The new Ad-Grader tool from LeadsRx is available to all marketers and uses attribution technology to find quick insights about ad performance. Once the LeadsRx universal conversion tracking pixel has been installed, the LeadsRx product begins automatically finding existing advertising campaigns in real-time. The system then uses machine learning techniques to provide useful insights into which ads are doing well and which are candidates for improvement. More than 5,000 accounts now have the LeadsRx pixel installed and can access Ad-Grader reports free of charge. The diversity and volume of data will allow LeadsRx to produce important insights into advertising spend across a variety of industries.
“We’re excited to deliver real-time marketing attribution software to the mainstream with advanced technology and insights,” said AJ Brown, CEO, LeadsRx. “LeadsRx helps marketers understand their advertising performance regardless of the size of their advertising spend and is now tracking data for more than 5,000 marketers globally.”
The complete list of features in the 2.0 release of LeadsRx includes the following:
Universal conversion tracking pixel 
A single tracking pixel (also called a “marketing tag”) can be installed on websites to track all advertising sources across all channels. Conversions, such as form submits and in-bound phone calls, are also monitored by the same tracking technology.
Free Ad-Grader tool 
The LeadsRx Ad-Grader tool uses marketing attribution technology to help marketers know which advertising efforts are working well and which to cut. Existing advertisements are automatically found, delivering attribution results sooner so that marketers can make more timely decisions.
Algorithmic attribution
LeadsRx uses machine learning to evaluate historical patterns of successful and non-successful conversion paths and delivers attribution weighting based on findings. Each company using LeadsRx gets attribution modeling unique to their customer journeys and channels.
Real-time attribution modeling
Attribution modeling is performed in real-time can be changed dynamically. Models include first touch, last touch, linear multi-touch, weighted multi-touch, algorithmic multi-touch. Three additional models are available and are unique to LeadsRx: CloserTouch™, AnyTouch™, and Fuzzy Attribution™.
Radio and television attribution
Predictive modeling and lift analysis lets LeadsRx include broadcast advertising in attribution models just like digital experiences. Retroactive attribution lets air time of commercials be provided after they occur.
Integration with Google AdWords and Facebook
Cost data from AdWords and Facebook is automatically retrieved by LeadsRx so that marketers can review a complete Return on Ad Spend (ROAS) analysis.
Integration with CallSource
In-bound telephone calls using forwarding numbers from CallSource can now be included as customer acquisition conversions. Marketers can measure the impact of advertising on this important conversion point.
Weekly attribution digest
LeadsRx includes a back-end “brain” that reviews marketing efforts and then produces a weekly digest of findings. This saves marketers time having to analyze detailed reports themselves.
About LeadsRx: LeadsRx, a multi-channel marketing attribution SaaS platform, provides marketers an unparalleled unified view of campaign performance across channels and the marketing technology stack. Marketers who use LeadsRx increase conversion rates and reduce acquisition costs to improve overall Return on Ad Spend and bottom line profit. The company is privately held and proudly based in Portland, Oregon. More information can be found on the company’s website at

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