multi-touch Podcast Attribution: Optimize Your Ad Campaigns

We use advanced attribution techniques to bring your podcast advertising in line with the rest of your marketing campaigns.

Impartial multi-touch attribution helps you increase top-line revenue and reduce wasted spend across your podcast advertisements and in conjunction with all other marketing channels. With LeadsRx multi-touch attribution, we help you maximize your return on ad spend (ROAS).

Impartial multi-touch podcast attribution

Get up and running quickly and easily with multi-touch attribution for your podcast advertising campaigns. This personalized demo will showcase how you can leverage attribution to revolutionize the way you advertise!

LeadsRx software measures your podcast ads alongside all your other marketing channels

In less than 30 minutes, you will see how to:

  • Track 100% of your podcasting ads, downloads and performance
  • Optimize across custom dimensions like channel and creative
  • Iterate quickly and make in-flight changes with Digital Ad Insertion
  • Identify the effect of podcast ads on other digital channels
  • Measure the revenue impact of your podcast advertising
  • Maximize your return on ad spend with multi-touch attribution

 

Download our complete guide to Multi-touch attribution for podcast advertising 

Stop wasting money on ineffective advertising and start improving your campaigns today.

LeadsRx multi-touchPodcast Attribution

 

Do you want to know which advertising creative, episode, length, time, and geography work the best at driving conversions? Multi-touch attribution from LeadsRx that includes your podcast ads in the mix from will show you exactly that. 

Eliminate Wasted Spend: We use advanced attribution techniques to help you increase top-line revenue and reduce wasted ad spend.

Multi-Touch for Podcast: Our attribution technology treats podcast ads like any other marketing channel. Consider podcast ad performance relative to your other digital and offline channels, such as broadcast TV and radio advertising.

Track Conversions: Multi-touch attribution leverages our Universal Conversion Tracking Pixel™ and allows podcast advertisers to move beyond impressions and downloads to bottom-funnel conversion points. 

Measure Podcast Ad Impact: LeadsRx will let you know, with multi-touch attribution data, how podcast ads are interacting with and influencing other channels. A point solution will not give you that cross-channel perspective.

Impartial Third-Party Data: Instead of relying on biased point solutions solely designed for podcasts, LeadsRx provides impartial multi-touch data to accurately provide optimization insights. 

Attribution leads to happier customers, and more capitally efficient podcast advertising campaigns.

Eliminate Wasted Spend: We use advanced attribution techniques to help you increase top-line revenue and reduce wasted ad spend.

Multi-Touch for Podcast: Our attribution technology treats podcast ads like any other marketing channel. Consider podcast ad performance relative to your other digital and offline channels, such as broadcast TV and radio advertising.

Track Conversions: Multi-touch attribution leverages our Universal Conversion Tracking Pixel™ and allows podcast advertisers to move beyond impressions and downloads to bottom-funnel conversion points. 

Measure Podcast Ad Impact: LeadsRx will let you know, with multi-touch attribution data, how podcast ads are interacting with and influencing other channels. A point solution will not give you that cross-channel perspective.

Impartial Third-Party Data: Instead of relying on biased point solutions solely designed for podcasts, LeadsRx provides impartial multi-touch data to accurately provide optimization insights. 

Attribution leads to happier customers, and more capitally efficient podcast advertising campaigns.

How Podcast Attribution Works

multi-touch Podcast attribution methodology

Elevate your campaigns beyond coupon codes and vanity URLs when tracking the effectiveness of your podcast campaigns. Get unbiased and accurate conversion data across publishers and ad providers.

Multi-touch

Our approach identifies impartial performance comparisons of all marketing channels, both online and off – including podcasts. 

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LeadsRx Universal Podcast Tracker

It is important to note that our technology covers any podcast provider that supports RSS feeds – including the industry’s two largest, Spotify and Apple. Specifically, the LeadsRx Universal Conversion Tracking Pixel™ works with all standard podcast servers supporting prefix URL or 1×1 pixel technology and allows tracking “bursts” to popular tools from Podtrac, Chartable, Podsights, and more.

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Downloads, Streams and Impressions

When an individual downloads or streams a podcast episode, LeadsRx receives information from the podcast server that anonymously identifies (learn more) the individual.

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Algorithmic Attribution Model

We analyze this information with our algorithmic attribution model and compare it against other data we receive from our Universal Conversion Tracking Pixel™, Google Analytics, and third parties.

In-store and Website Visits

Our attribution data identifies how well a podcast drove a listener to visit your store or website to make a purchase – focusing on conversions not top-of-funnel metrics. 

Rapid Iteration

Optimization insights are made available in real-time allowing for in-flight marketing changes to podcast advertising campaigns leveraging Digital Ad Insertion (DAI).

Attribution Insights

We seamlessly stitch together cross-device journeys, in-store and online visits, and full-funnel conversions. Then we show you exactly how to optimize podcast advertising performance.

“I have several clients using LeadsRx and each are impressed with the breadth of the solution, the user interface and the company has great customer support”

MANAGING DIRECTOR, Digital Marketing Agency

“This is exactly what I need to show my CEO and Board of Directors.”

CMO, Financial Services

“The insights have been very helpful in showing me where my leads are coming from, giving me the ability to see where I need to put more effort.”

FOUNDER, eCommerce Store

“Very robust tool, enterprise ready and scalable. Great implementation and support team.”

CMO, Saas Company