Retail Record Episode 11

Orchestrating the Best Customer Journey

Listen to the Retail Record podcast here

“Regardless of where you’re selling, whether it’s on Amazon, your own site, or an omnichannel approach, it’s about getting back that control that we thought we had as marketers and being able to make sure that we can orchestrate the customer journey.”

- Kathleen Booth

CMO, Clean.io


PreciseTarget COO, Liddy Manson, hosted a fireside chat with Kathleen Booth, CMO of Clean.io, to discuss how retailers and brands can take back control of their websites by blocking third party coupons. This is the eleventh episode of many to come in our virtual thought leadership series, The Retail Record. Our goal is to cultivate meaningful discussions around trending topics in retail, ecommerce, and the industry’s future with other leaders in the space.


Clean.io's cleanCART is a set-it-and-forget-it Shopify app that helps ecommerce merchants take control of their user experience, revenue and brand by automatically blocking coupon extensions like Honey and CapitalOne Shopping from injecting discount codes at checkout on ecommerce websites. Kathleen is Chief Marketing Officer at clean.io, where she's on a mission to help ecommerce brands grow profits and make smarter marketing decisions by improving the effectiveness of their discount strategies. Prior to joining clean.io, Kathleen spent 11 years as the founder and CEO of a digital marketing agency where she advised hundreds of companies on go-to-market and digital marketing strategies. Kathleen is the host of the long running Inbound Success Podcast, which features interviews with top performing marketers to surface actionable insights, and was named one of the Top 50 B2B Marketing Influencers by TopRank.

PreciseTarget is a behind-the-scenes data company supporting many fashion and apparel brands with their ecommerce revenue growth while also giving them the ammunition to tell their brand story using data. We partner with fashion brands to provide enrichment data that helps them understand who their customer is and what their taste is in apparel. At PreciseTarget, we’ve machine learned 5 billion SKU level soft-goods retail transactions, billions of SKUs and billions of pieces of metadata to create “taste” profiles on 99% of adult shoppers. These off-the-shelf audiences are ready to be used in most major data stores and DSPs, or, for CRM enrichment.

If you are interested in learning more about The Retail Record or PreciseTarget’s data offering, please contact info@precisetarget.com.