Hello.
Speaker AWelcome back, everybody.
Speaker AThis is Anne Mazinga from Omnitalk Retail.
Speaker AWe are here at Etail Day Two and we have another wonderful guest.
Speaker AStanding next to me is the VP of Growth Marketing at dsw, Paige Sheedy.
Speaker APaige, thank you so much for joining us today.
Speaker AI'm really excited to talk to you.
Speaker BAnd thanks for having me.
Speaker BI'm excited to be here.
Speaker AYes.
Speaker AWell, let's start by just giving the audience a little bit of your background because you and I were catching up before this and it's really, really impressive.
Speaker AYou've done all of the things.
Speaker ASo let's just kind of start there and introduce you.
Speaker BAbsolutely.
Speaker BSo I oversee our growth marketing at dsw, which means we're really thinking about acquisition, engagement and retention.
Speaker BFull customer life cycle across paid media, CRM and loyalty.
Speaker AOkay.
Speaker BMy background has really been based in that same mindset.
Speaker BIt's creating the best customer experiences for some pretty fun brands across travel, hospitality and restaurants.
Speaker BI kind of grew up in loyalty at Marriott and had a chance to explore the Marriott rewards program, which became Marriott Bonvoy, as well as some brand management and partnership roles.
Speaker AYeah.
Speaker BAnd then after the Pandemic, joined the Burger King team to help stand up their first loyalty program.
Speaker AAmazing.
Speaker AWhat do you think?
Speaker ALike, it's been in the news, We've been talking about it a long time.
Speaker APeople are all getting into loyalty programs.
Speaker AWhat do you think are the kind of building blocks of a solid loyalty program?
Speaker AAre there things that exist across categories or is it really individual to each network or each.
Speaker AEach category.
Speaker BIt's a really interesting time for loyalty.
Speaker AYeah.
Speaker BCustomers are really savvy and they understand how it works.
Speaker BSo transactional loyalty is just table stakes.
Speaker BThe earn to redeem component will still be the foundation of many loyalty programs, but it's an emotional connection.
Speaker AYeah.
Speaker BSo.
Speaker BSo we have to think about what our customers value the most.
Speaker BAnd that value can be convenience, it can be recognition, it can be time saving, it can be the feeling of being known by a brand that keeps them coming back.
Speaker BAnd that's what we're seeking to do at DSW now.
Speaker BIt's really creating a more personalized experience so that we can serve them up the best DSW experience that they can get.
Speaker AThat's pretty consistent with what I've been hearing from other retailers at this conference.
Speaker AIt's not just about saving money, while that can be important, but it really is about, like, how are you personalizing the experience for each of your shoppers because of their loyalty?
Speaker AWould you say that's pretty that's right on brand.
Speaker BRight on.
Speaker BYep.
Speaker AOkay.
Speaker BExactly.
Speaker BYeah.
Speaker BTime is money.
Speaker BYeah, Right.
Speaker BBeing inspired, being served up something that's new and exciting is compelling too.
Speaker AYeah.
Speaker BAnd for us, personalization means understanding each of those customer needs and then surprising and delighting our customers in that way.
Speaker BSo we're taking a wealth of data.
Speaker AYeah.
Speaker BIt's pretty complex, but to the customer, it should feel really intuitive and simple.
Speaker BThey should understand that DSW has what they need.
Speaker BRight, right, right.
Speaker BAnd that they're going to feel rewarded every time they shop.
Speaker AWell, especially as a brand that's been around for 30 years now.
Speaker AI can't believe that I was like, well, I suppose that makes sense.
Speaker AI am that old.
Speaker ABut like, how do you think about taking loyalty then into this next generation?
Speaker AHow do you look ahead at what those important components will be for your DSW consumer?
Speaker AIs it different?
Speaker AIs it the same?
Speaker AWhat's kind of intriguing you as you go forward?
Speaker BYeah.
Speaker BFor us, it's taking this availability of data and just filling it down to these key customer experiences.
Speaker BSo our customers don't self identify as a digital shopper or a store shopper, or sometimes even not an athletic shopper or a trend shopper.
Speaker BThey just know that maybe they need something, maybe they want to be inspired.
Speaker BWe can create a really cohesive experience for them.
Speaker BRight.
Speaker BRegardless of how they're engaging with dsw.
Speaker BOkay, right.
Speaker BAnd that's what we're seeking to do with loyalty, but also with personalization and the automation of the data that allows us to get there.
Speaker AAnd Paige, how do you think about the technology that's out there to help support those goals?
Speaker AI mean, we're at e tail.
Speaker AThere's a lot of providers here.
Speaker AThere's a lot of people on stage talking about different technologies or ways to kind of get to that end goal.
Speaker AWhat's priority for you right now?
Speaker BYeah.
Speaker BWe are using technology and AI to help our teams build muscle faster, to allow them to be more nimble in the way that we can predict and model our customers behaviors so they can really be focused on the experiential piece that I mentioned.
Speaker BRight.
Speaker BSo we are using predictive modeling to better understand the channels that our customers want to engage with us in.
Speaker AYeah.
Speaker BAnd how to deliver the best message at the right time in order to engage.
Speaker BRight.
Speaker BIn order to create compelling content.
Speaker AYeah, yeah.
Speaker BAnd so that kind of pivot for us has allowed us to spend some time going slow so that now we can go fast and bring it forward to our customers.
Speaker AWhat would you say is like in your day to day, what's the, like, most applicable application of AI?
Speaker AThat's like changing your team's workload on a day to day basis.
Speaker BYeah.
Speaker BFor us, it really is around predictive modeling and omnichannel analytics.
Speaker BYep.
Speaker BThe.
Speaker BJust as I said, one size doesn't fit all loyalty, one size doesn't fit all with value.
Speaker BAnd so we are able to observe through the ways that our customers are shopping with us what they're feeling in the moment, in the season that they're most interested in.
Speaker BInteresting.
Speaker AOkay.
Speaker BAnd for my team, that means crafting special offers based on the way a customer is browsing or the way they're indicating that they're ready to purchase.
Speaker AIt's rising delights.
Speaker AYeah.
Speaker BAnd it's loyalty exclusives.
Speaker AOkay, that's really cool.
Speaker AYou were just on stage.
Speaker AWhat did you talk about on stage?
Speaker AWhat do you kind of hope the audience took away from that session?
Speaker BYeah, we were really bringing our audience along on this journey.
Speaker BFrom one size fits all to personalization.
Speaker AOkay.
Speaker BAnd it doesn't have to be granular personalization.
Speaker BIt can be that kind of automated feel for a single customer.
Speaker BAnd you can be shopping with us today and your needs are going to feel very different than what they were probably last summer when you're thinking about your travel plans.
Speaker BRight, Right.
Speaker BIn Minnesota, you're still very much in boot weather.
Speaker AYes.
Speaker BAnd so for us, loyalty is showing you the best that we have to offer.
Speaker BAnd so we may offer you an incentive to start thinking early about spring.
Speaker BWe may offer you the best boots that are available because we know there's a snowstorm coming.
Speaker BAnd so we're constantly thinking about that piece when it comes to personalization.
Speaker AAnd how, how much more quickly are you able to do that?
Speaker ABecause I have to imagine like in the past and you've been doing loyalty for a long time in your work.
Speaker AI mean, what, what did it look like before AI and what does it look like now?
Speaker AI mean, how quickly can you turn over those offers or to know, like, there's going to be a snowstorm, we should probably shoot them an offer for these things.
Speaker BYes.
Speaker BWell, segmentation and personalized customer journeys are nothing new to loyalty marketing.
Speaker ARight.
Speaker BBut this real time component very much is.
Speaker AOkay.
Speaker BAnd so we're able to very quickly understand what you're looking for and how to bring you along on this journey.
Speaker BWhether you start your shopping journey with DSW in search or social, whether you walk into a store to browse for the first time.
Speaker BRight.
Speaker BWe want to very quickly be Able to show you that there's depth and breadth of selection, but also value to be had.
Speaker ARight.
Speaker AHow.
Speaker AHow are you sharing some of that information?
Speaker ABecause I think what.
Speaker AWhat doesn't often get talked about enough is how loyalty is really the foundation of the future growth initiatives for a lot of retailers and brands out there right now.
Speaker AHow do you think about kind of taking everything that you're learning with these, this predictive modeling and, you know, sharing that out to the rest of your organization so that you can kind of work together as an industry to be inspired.
Speaker AInspired by what your customers, your most loyal customers are telling you and kind of move the business forward in that direction.
Speaker BYeah.
Speaker BAs much as I love the art side of loyalty, the emotional connection, there's still the science.
Speaker BAnd for us, that science pays off through customer lifetime value.
Speaker BOkay, so we think about the success of our program through that customer lifetime value metric.
Speaker BIt is how many customers, new customers we're bringing in, how often we're engaging with them, and the length of time they're willing to spend with us.
Speaker BWhen we pair that with DSW's current brand work, which our CMO, Sarah Crockett, spoke to yesterday, that package together allows us to show loyalty is the component that brings forward that DSW brand's payoff.
Speaker AI love that you two are in lockstep together.
Speaker AIt shows, I think, the true foundational elements of having success when loyalty and marketing are so tied together with the same mission.
Speaker AAnd you're using a lot of data to support those decisions, too.
Speaker AIt sounds like too.
Speaker BThat's right.
Speaker BSo foundationally strong in data should create a really seamless and exciting customer experience out in the wild.
Speaker BAnd that's what we're seeking to do, is create momentum together through the brand component, but also through loyalty and through CRM.
Speaker BSo the way we tell the stories.
Speaker AOkay, Paige, let's close out with this question.
Speaker AWhat are you most excited about doing this year in your role at dsw?
Speaker BBuilding.
Speaker BBuilding and building.
Speaker BRight.
Speaker BHey, talk a lot about the data.
Speaker BFor me, you know, it's taking these disciplines, this muscle around our omnichannel analytics and the predictive modeling, and bringing it together so that it really does feel like a holistic customer experience rather than a really strong CRM program or a really strong loyalty program.
Speaker BA really great brand message.
Speaker AYeah.
Speaker BFor me, the end goal is that the customer just knows they love dsw.
Speaker BDSW is top of mind.
Speaker BIt's going to be their first shop behind the scenes.
Speaker BThat means all of our teams are working seamlessly together.
Speaker BAnd we're able to connect the dots.
Speaker BRight, with all of the data that's growing.
Speaker ARight.
Speaker AOh, fantastic.
Speaker AWell, Paige, thank you so much for taking the time to stop by and share details about your session and just your vision for loyalty at dsw.
Speaker AThanks to all of you who've been following along at home.
Speaker AAnd finally, thank you to Net Elixir for making all of our coverage here at the show possible.
Speaker AThey are still here.
Speaker AThey're at booth 501, so go check them out in between sessions and interviews.
Speaker AAnd until next time, be careful out there.