Season 3 Episode 15
The Power of Relevance: Ian Dewar on Anthropologie’s Customer Strategy

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Episode Summary

In this episode of The Marketing Rapport, host Tim Finnigan sits down with Ian Dewar, Senior Director of Global Strategy at Anthropologie. Together, they explore how brands can move beyond simple transactions to create loyalty that feels personal and relevant. Ian shares how his team uses both transactional and non-transactional data to better understand customer motivation, curating collections and experiences that match real-life needs instead of just pushing more products.

Ian explains how Anthropologie builds clean, unified customer data and blends it with behavioral insights—both online and in stores. He describes their approach to personalization, which considers factors like regional trends, product use, and even feedback collected through surveys and focus groups. This helps Anthropologie deliver recommendations and perks that are timely, useful, and authentic.

Throughout the conversation, Ian emphasizes the shift from discount-driven loyalty to programs that reward customers with access and relevance. He highlights the value of listening, adapting, and making every customer interaction feel intentional. The result is a smarter approach to loyalty—one that grows brand relevance without relying on gimmicks or tricks.

Guest-at-a-Glance

Key Insights

• Personalization Starts with Understanding Motivation, Not Just Transactions
  Many brands still group customers by what they buy, linking products that tend to sell together. But true personalization goes deeper. The most effective approach considers the customer’s motivation—the reason behind a purchase—rather than just the transaction itself. By tapping into behavioral and even non-transactional data, brands can segment customers into meaningful groups, like hikers or family adventurers, and curate offers that match real interests and needs. This shift leads to better product recommendations, stronger relevance, and a brand experience that feels personal. When you understand why someone shops, you can serve them in ways that go far beyond simple cross-sells.

• Loyalty Today Means Access and Experience, Not Just Discounts
  Loyalty programs have moved past the old model of points and discounts. Customers now look for programs that offer real value—like early access to sales, exclusive products, and special events. Emotional loyalty is built through experiences that make people feel seen and valued, not by pushing more purchases or bigger rewards. By ranking and recognizing top customers, then inviting them to unique events or giving them first dibs on new collections, brands build stronger, more authentic relationships. The goal is to increase relevance in the customer’s life, not just frequency or spend, and to reward loyalty with meaningful perks instead of gimmicks.

• Clean Data and Direct Feedback Are the Foundation for Smart Segmentation
  Personalization and loyalty only work if they’re built on strong data. Clean, unified customer records allow brands to connect in-store and online behavior, predict needs, and spot patterns that matter. Direct feedback—from post-purchase surveys, focus groups, or even in-store interviews—gives a window into what customers really want. When feedback pours in faster than teams can process, artificial intelligence can help sort, categorize, and highlight trends. This combination of high-quality data and open lines of communication helps brands adjust quickly and deliver offers customers find genuinely useful. The result is smarter segmentation, sharper recommendations, and a customer experience that keeps getting better.

Episode Highlights

Moving from Product Associations to Customer Motivation
[00:00:00]

The episode opens with a look at how brands have long relied on product associations—pairing items that often sell together. The conversation shifts to a modern approach: using behavioral data to understand what drives each customer’s purchase decisions. By analyzing non-transactional signals, brands can segment audiences by activity or lifestyle, not just what they bought last. This leads to more curated, relevant collections and a sharper, more personal experience for shoppers.

“But what we weren’t doing was going back to what the motivation or the activity was behind those purchases. And so we realized that if we could use non-transactional data to start to categorize customers into hikers, runners, climbers, skiers, campers, family adventure versus solo adventure, we could do a much better job of curating collections for them.”

Loyalty Built on Experience, Not Just Points
[00:19:10]
The discussion covers the evolution of loyalty programs. The focus has moved from simple points and discounts to a broader view that values access, convenience, and emotional connection. Today, leading brands reward loyalty with early shopping access, exclusive products, and special event invitations. The goal is to deepen relationships by making customers feel valued, not just incentivized to buy.

“There are really three styles of loyalty program or three components to the loyalty firm. There’s a transactional component… There’s convenience-based loyalty… And then there’s the emotional component of loyalty programs. The emotional component of loyalty is certainly where we sit, but I think that is really the direction that loyalty program developments are going towards.”

Clean Data Enables Smarter Personalization
[00:13:28]
Strong personalization requires a unified and accurate customer database. By maintaining clean records and integrating both transactional and behavioral data, brands can predict what customers want next—not just what they bought last time. This clean foundation supports more precise outreach and better customer experiences both online and in-store.

“One of the things that really has been a strength for us is being able to add additional behavior points to then match back to what is a very clean customer list. We’ve got access to a whole set and really the lifetime of transaction behavior from our customers. What we’ve now just started to do over the last three years is layer in additional components of digital behavior… so we can again come back to this idea of what is a customer doing with the product, not what they’re buying.”

Using Direct Customer Feedback and AI to Guide Decisions
[00:32:03]
Listening to customers goes beyond surveys. By collecting feedback through focus groups, in-store interviews, and digital channels, brands gain a clear view of changing needs. With customer comments arriving in large volumes, artificial intelligence sorts, clusters, and surfaces actionable insights. This approach ensures that real customer voices shape product and marketing strategies in a scalable way.

“We have more feedback than we can handle. This is something my team is working on right now. As we think about marketing technology, this is somewhere where we’re leaning super heavy into AI because we get five to six hundred thousand comments a year. No one person or team can read all that and categorize it… so we have AI sorting these product feedbacks not just into sentiment, but into product categories, suggestion categories, positive and negative opportunities, and it helps us condense clusters of feedback down into digestible numbers.”

Top Quotes

[~00:09:42] Ian Dewar: “Customers are giving us all these signals about what they want to do with the product. In the past, we were very much like a product association. But what we weren’t doing was going back to what the motivation or the activity was behind those purchases.”

[~00:13:28] Ian Dewar: “We use Snowflake today at Anthropologie, and actually, one of the things that has been a strength for us is being able to add additional behavior points to then match back to what is a very clean customer list. We’re in trial or direct to consumer at Anthropologie, and so unlike VF again, Anthropologie sells in Anthropologie stores and anthropology.com. No Amazon, no third party, no wholesale partners. So we have a lot cleaner data.”

[~00:21:03] Ian Dewar: “For a brand like ours, we don’t have a pure transactional program. There are no points at Anthropologie. Our program’s called Anthrop Perks, and it’s really designed around providing benefits, AKA perks, to our customers.”

[~00:24:39] Ian Dewar: “The goal is to increase our relevance in the customer’s lives. So if a customer is buying dresses from us today and thinks of us for dresses and sweaters and maybe gifts for their family, and they come twice a year and buy a candle in a mug and a Christmas ornament to give out to their mom or to give to their aunt or to spread, and so they think of us as this six time a year, four for me, two for someone else type of visitor. What we’d like that customer to think of us for more of their wardrobe and be a bigger part in that customer’s closet.”

[~00:37:07] Ian Dewar: “Customers now expect a brand, if I’m going to provide my email address, if I’m going to join your loyalty program, if I’m going to give you my cell phone number so you can SMS me, I expect you to send me relevant messages.”