#824: From eTail: Furniture.com CMO Dan Bennett on how to win the high-consideration purchase

Summary

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Podcast Summary:

The Agile Brand with Greg Kihlström® – Expert Mode Marketing Technology, AI, & CX
Episode #824: From eTail – Furniture.com CMO Dan Bennett on How to Win the High-Consideration Purchase
Date: March 6, 2026

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Episode Overview

This episode, recorded at eTail Palm Springs, dives into solving one of e-commerce's thorniest challenges: driving trust and simplicity around high-consideration purchases—specifically in furniture. Greg Kihlström hosts Dan Bennett, CMO and co-founder of Furniture.com, who describes the platform’s fresh approach to the online furniture journey, leveraging AI, data, and a tech-first mindset to cut through the paradox of choice, reduce friction, and build shopper trust.

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Key Discussion Points and Insights

The Unique Challenge of High-Consideration E-Commerce

• High-Consideration Defined: Furniture is the third most expensive purchase for most people after a house and car; the journey is time-consuming and complicated.

  • Dan Bennett [03:13]:

    "It’s the third most expensive thing most people will ever buy...the journey to do that...is a difficult one. 13 hours plus in terms of time...often visiting north of 15 sites...It's kind of messy."

• Core Issues Identified:

  • Paradox of choice overwhelms consumers
  • Low trust in online furniture marketplaces
  • Emotional journey lacking joy and assurance

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Reimagining Furniture.com: Building on Trust and Tech

The New Platform & Domain Advantage

• Direct Solutions: AI-powered platform guides users “to search, compare, decide, and then now buy in one cart.”

• Multi-Brand, Trusted Marketplace: Only partners with reputable, regional, and national brands; over 70 in the U.S.

• Single Seamless Cart: Enables shopping across brands with a unified experience.

• Dan Bennett [05:34]:

  "We have an amazing AI site interface that helps you semantically sort and find what you're looking for...truncate the journey, build trust along the way."

Tech First, Furniture Second

• Company Structure: Majority of team (60–65%) are engineers, developers, data scientists.
• Mission: "A technology business in service of furniture."
  • Dan Bennett [05:44]:

    "We are a technology business in service of furniture...about 60, 65% of those folks are engineers, developers, data scientists..."

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Brand Stewardship in a Multi-Brand Ecosystem

• Brand Integrity: Furniture.com ensures each partner’s products "show up beautifully," sometimes even improving partner brands’ own imagery.
• Standardized Data: Proprietary AI harmonizes chaotic product feeds for consistency and easy comparison.
• Dan Bennett [07:21]:

  "We've had some brands ask us to give back the images that we have refined for them so they can put them on their own site...furniture data...it's slightly chaotic. Every feed is different...So we knew we had to synthesize that..."

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Using AI, Behavioral Data, and Human Input

• Continuous Learning Loop:

  • Research with human shoppers uncovers pain points.
  • AI interface ("Dottie") is updated based on real behavior and feedback.
  • Dan Bennett [08:13]:

    "We realized pretty quickly they really don't want to see 2,300 sectionals. They want us to...say...here's a short list...the human need informs what we build and then the ongoing experience...continues to be checked..."

• Dottie: Recently launched semantic AI assistant that gets better over time with user engagement.

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Partnering for Seamless Checkout: The Firmly Story

[11:55 – 13:45]

• Unified Checkout: Partnership with Firmly introduces agentic checkout ("single cart" across brands).
• Technical Challenge: Managing 3.5 million SKUs across 70+ brands.
• Advice: Crystal clear messaging to shoppers during and after checkout to ensure trust and clarity.
• Dan Bennett [12:56]:

  "I would just make sure you're clear on how you're messaging it...as far as shoppers are concerned [it's] a seamless checkout experience...then you’re going to receive communication from those individual retailers."

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Metrics Beyond Conversion Rate

[13:45 – 15:24]

• Time to Cart: Measures effectiveness in shortening the decision process.
• Engagement Signals: Repeat visits, content engagement, favorites, and account creations signal long-term health.
• Friends/Family Litmus Test: Informal qualitative feedback complements hard metrics.
• Dan Bennett [14:08]:

  "If our argument is compressing the journey, time to cart is important...do they seem engaged?...That's actually the indicator we look at as we think about scaling our media spend."

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Customer Lifetime Value (CLV) in the Furniture Context

[15:24 – 16:58]

• Crucial for Low-Margin, High-Share Model: Furniture.com operates with low commission per sale, relying on long-term retention, direct visitation, word-of-mouth, and becoming the “decision layer” for furniture.
• Goal: Disintermediate search engines by being the go-to brand.
• Dan Bennett [15:42]:

  "We have to think about customer acquisition cost and...real lifetime value...I have to be able to show it to you. And then you say...this thing’s great and I'm going to show it to my friends..."

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What Retailers Must Build for the Future

[17:33 – 18:36]

• Single Most Important Capability: Building unequivocal trust, not just adopting technology. Trust must be the foundation for high-ticket online purchases, especially with AI still maturing in the eyes of customers.
• Dan Bennett [17:33]:

  "You have to be able to instill trust...I don't know they're [AI services] in a place yet where people have enough trust...that's purely quality product related."

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Notable Quotes & Memorable Moments

• On the Paradox of Choice:
  "What if the biggest friction point in your customer's journey isn't the checkout page, but the overwhelming paradox of choice you've intentionally created for them?"
  — Interviewer, [00:48]

• On Technology Focus:
  "We are a technology business in service of furniture."
  — Dan Bennett, [05:44]

• On AI’s Role:
  "How do humans make AI better—and vice versa? The human need informs what we build and then the ongoing experience continues to be checked."
  — Dan Bennett, [08:06]

• On Trust in Online Shopping:
  "The second big important part is trust...an experience that is comprehensive, but shoppers feel they can trust enough to click 'buy’ on a couple thousand dollars’ worth of sofa."
  — Dan Bennett, [04:10]

• On Staying Agile:
  "We suck knowledge in...but you need that BS filter...making sure you’re adopting the most recent tools...agility is what’s fundamentally driven [growth]."
  — Dan Bennett, [19:36]

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Important Timestamps

• [03:13] — Dan Bennett shares statistics on the complexity and duration of the average furniture purchase journey.
• [05:34] — Outlining the new AI-powered, multi-brand shopping experience on furniture.com.
• [07:57] — How consumer research and proprietary AI (“Dottie”) improve the guided shopping journey.
• [12:11] — Discussing the partnership with Firmly for a single, unified checkout.
• [14:08] — Identifying key leading indicators beyond conversion rate.
• [15:42] — The criticality of customer lifetime value and direct brand relationship.
• [17:33] — The single most vital capability for retailers: building trust.
• [19:36] — Dan Bennett’s personal strategy for maintaining agility and learning.

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Takeaways for Brand Leaders

• Cutting through noise in high-consideration categories requires radical simplification and fundamental trust-building.
• Technology and AI are crucial, but only as tools that serve verified consumer needs.
• Unified customer experience demands both backend sophistication and communication clarity.
• Measurement must track journey compression and deep engagement, not just conversion rates.
• Customer lifetime value is paramount, even (or especially) when average purchase size is high and purchase frequency is low.
• True agility comes from ongoing education, a healthy skepticism filter, and relentless focus on product quality and the brand’s core promise.

Transcript

[Dan Bennett]

The agile brand.

[Podcast Announcer]

Welcome to Season eight of the Agile Brand Podcast.

[Greg Kilstrom]

This season we're going all in on Expert Mode, MarTech, AI and Customer Experience, talking with the people and platforms behind

[Podcast Announcer]

the brands you know and love.

[Greg Kilstrom]

I'm Greg Kilstrom, your host and I help Fortune 1000 companies make sense of martech, AI and marketing ops. Hit subscribe or Follow to make sure you always get the latest episodes and leave us a rating so others can

[Podcast Announcer]

find us as well.

[Greg Kilstrom]

And make sure you check out our sponsor Tech Systems, an industry leader in full stack technology services, talent services and real world applications. For more information, go to teksystems.com now let's dive in.

[Interviewer]

What if the biggest friction point in your customer's journey isn't the checkout page, but the overwhelming paradox of choice you've intentionally created for them? Agility requires not just reacting to consumer behavior, but proactively re architecting the entire purchase journey based on what the data tells you they truly need, even before they know it themselves. Today we're here at Ital Palm Springs and we're going to talk about tackling one of the biggest challenges in E commerce, the high consideration purchase. We're going to explore how brands can move beyond simply offering endless options and instead use AI and behavioral data to create a guided trust based experience that actually simplifies decision making and leads to conversion. To help me discuss this topic, I'd like to welcome Dan Bennett, [e-mail] Dan, welcome to the show.

[Dan Bennett]

Thanks for having me. Yeah, great, great intro man. I love that.

[Interviewer]

Yeah, yeah, it's looking forward to diving in.

[Dan Bennett]

Before we do though, why don't you

[Interviewer]

give a little background on yourself?

[Dan Bennett]

Okay. Well, yeah, I mean I can. Let me go back a little bit. Not too far. So I've been building technology brands for a little north of 20 years now and we stood, myself and my two partners, you know, we started furniture.com a little shy of four years ago. Furniture.com has had a life before us. We got hold of the domain a couple years before that and then decided along with our investors that we had an opportunity, we thought to do right by the URL. It's a powerful domain name. Right. It says on the tin. And we thought we could develop a platform on there that candidly fixes a lot of problems that we see in the furniture shopping journey, as it were. Yeah, so that's, you know, I built a technology brand before this and then prior to that I spent a while working in the for some of the big ad agencies. So I prefer building business. I think that's a little bit more up my alley and my job [e-mail] along with helping run the business is I lead the marketing side of it. So trying to make us famous. Yeah.

[Interviewer]

Nice.

[Podcast Announcer]

Love it.

[Interviewer]

Well, yeah, let's dive in here and so want to talk about your new platform launch and it seems to be a direct assault on that paradox of choice that I did up in the intro that seems to plague high ticket e commerce items. So from a strategic level, what fundamental belief about consumer psychology in this category drove you to say, you know, we need to build something completely different?

[Dan Bennett]

Yeah, look, I'll give you a couple, I'll give you a couple statistics to back this thinking up. Yeah, there are a few elements as it relates to, as you said, high consideration which furniture definitely is behind a house and a car. It's the third most expensive thing most people will ever buy, especially larger items like a sofa, etc. The journey to do that for most people is a difficult one. 13 hours plus in terms of time, time to find a piece, often visiting north of 15 sites, utilizing, you know, maybe a Google spreadsheet to track it and social media to be inspired and SMS or screenshots. It's kind of messy. Yeah. And to that extent it's not as enjoyable as we think it should be. I think furniture is an emotional purchase and I, I believe there should be some joy in the search for it. The, the second big important part is trust. Online furniture shopping on some of the big marketplaces has a historically low trust score. And we think, you know, we're trying to overcome both of those things. An experience that is comprehensive but that also shoppers feel like they can trust enough to click buy on a, you know, couple thousand dollars worth of sofa. So that's the hill we're trying to climb.

[Interviewer]

Yeah.

[Dan Bennett]

Yeah.

[Interviewer]

And so, you know, as, as you mentioned, you know, building trust is paramount and also it's a multi brand ecosystem. Maybe you know, for those a little less familiar with.

[Dan Bennett]

Yeah, should we.

[Interviewer]

Furniture.com.

[Dan Bennett]

let's do it.

[Interviewer]

Yeah. Yeah.

[Dan Bennett]

So furniture.com is a, it's an AI powered furniture shopping platform, essentially allows users to search, compare, decide, and then now buy in one cart. Now, unlike some other marketplaces, we only partner with regional and national trusted furniture brands. So existing known furniture partners and we partner directly with them. Direct relationships with north of 70 partners now in the US and then from a shopper point of view, it means that you can show up. We have an amazing AI site interface that helps you Semantically sort and find what you're looking for so you can be as honest as you want. You could tell it that you have parents moving in and you need to redo a spare room, and it'll help you curate that experience. So we try and truncate the journey, build trust along the way, and then we encourage people to shop multiple retailers and check out from one cart. So furniture.com, i think, is finally living up to the domain.

[Interviewer]

Yeah, yeah. Love it.

[Dan Bennett]

Yeah.

[Interviewer]

And your. I mean, your background building technology. Yeah, One might think, you know, furniture, you know, how does furniture and technology kind of.

[Dan Bennett]

Yeah. The way I describe it is, candidly, we are a technology business in service of furniture. So. So we have, you know, 80 plus people working on furniture.com now. I would say about 60, 65% of those folks are engineers, developers, data scientists. So, yeah, we're a technology business, fundamentally. Yeah.

[Interviewer]

I think another maybe challenge is, you know, you have the furniture.com brand, but you also have the furniture brand, you know, and, you know, you spend. It sounds like you spend a lot of effort picking the right brands to sell, but so you're not only building the furniture.com brand, but also preserving the integrity of those brands.

[Dan Bennett]

We take that very seriously. Yeah.

[Interviewer]

How does that work?

[Dan Bennett]

Yeah, it's one of the first things that we knew we had to address when it came to bringing partner brands onto our site. They've in many cases spent years building those brands. So the first thing we did was develop a platform that made sure every brand and critically, their products showed up beautifully. In fact, we've had some brands ask us to give back the images that we have refined for them so that they can put them on their own site, because we take that very seriously. So every brand has their own brand page that allows them to have their own copy and content on there. But every product from that brand looks equally as good as product from other brands because we have an AI tool internally that standardized that data. Furniture data, furniture feed data. It's slightly chaotic. Every feed is different. They all speak a slightly different language. So we knew we had to synthesize that into one feed so that when we presented, whether it's Bloomingdale's or Tove or One Kings Lane or whatever it might be, they all look beautiful. And we take it very seriously. How those brands show up is the definition of how successful our business can be.

[Interviewer]

And as we mentioned, it's a technology company that sells furniture. Right. So that tech first component, you're using AI, you're using proprietary research. You're using behavioral data. Can you walk us through how AI proprietary research and behavioral data really work together to reduce friction? And for instance, does research inform the AI model?

[Dan Bennett]

Yeah. The million dollar question, how do humans. We're not giving away the sigma. Yeah. How do humans make AI better and vice versa? So one of the things we do a lot is consumer research, shopper research. We have a couple folks internally that managed that whole process for us. I will tell you that we recently retooled the site quite substantially over the last eight months, in fact, based on a lot of consumer research we had done. And one example of that would be after speaking with shoppers, we realized pretty quickly they really don't want to see 2,300 sectionals. They want us to be able to say to them, hey, here are the, here's a short list of the ones that make sense for your reality. And that goes back to our ability to build semantic tools. So I can search semantically. So the human need informs what we build and then the ongoing experience with that technology continues to be checked. Do people like this, are they staying? Are they spending time, are they checking out? But our AI interface, which we call Dottie, she learns continually. So she candidly, we launched her this week at etel, is why we're here. And she will continue to get better over the coming months as she learns and understands how people behave. So it's a bit of both, but it's always gut checked by our shoppers.

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[Interviewer]

so you recently started a partnership with Firmly to create a single checkout across multiple brands. From a tactical standpoint, what was the biggest hurdle in unifying that customer experience and what advice would you have for other leaders considering similar. Yeah, okay.

[Dan Bennett]

Firmly are an interest. Amazing partner. Firmly were one of the first partners to do a gentic checkout with believe Facebook and a perplexity potentially. So they're very great pedigree. Yeah. Yeah. So when we, when we started working with Firmly, you know, we made quite clear the challenges we thought we would face as a platform. In other words, three and a half million SKUs multiple partners and they worked with us pretty seamlessly on helping understand how that backend infrastructure needed to work. We spent a lot of time testing it. In fact we're here launching the new version of the site at Etail, but it's actually been running in a Soft sense for about the last four weeks so we could make sure those pipes were working effectively. I think in terms of advice, I would say, you know, if you're thinking about going down the agentic checkout route, which we have seen so far to be working very well, I would just make sure that you're clear on how you're messaging it. Messaging it to shoppers, you know, as far as shoppers are concerned, or furniture.com, when they check out with us, it's a seamless checkout experience. But we will let them know in their confirmation email that, hey, you know, we know that you checked out with multiple brands. Here are the brands you bought from us. And then you're going to receive communication now from those individual retailers. And the benefit to the shopper there is that they then get the great customer service, they get the, you know, the loyalty or the financing, whatever it might be with those individual folks. So I think making sure that you're clear on that communication to the shopper. So there's nothing lost in translation, but otherwise we found it to be super, you know, super smooth.

[Interviewer]

Yeah, yeah, that's great. And so, you know, along those lines, you know, with a system that's really designed to reduce friction and improve that decision making. We talked about metrics, like talking about measurement. Conversion rate is an obvious metric, but what are maybe some of the less obvious leading indicators that you're tracking to prove that the model is working?

[Dan Bennett]

Yeah, the one thing we, if our argument is compressing the journey, time to cart is important, how quickly and how efficiently are we getting people to check out? Yeah, and now I know that's not necessarily a new point of view on this, but for us it's proof that if you can come in, build a cart, build a room, maybe you're consuming some of our content as you go. And what are those touch points? What does that journey look like? But does it feel accretive to that experience? Right. Is it quick? That's valuable. Now we don't expect people to always be shopping. Right. It's a 28 day cycle, roughly for most, most furniture. So are they coming back multiple times? Are they spending time in our content section, being inspired? Are they building favorites? Are they opening accounts? Are they, do they seem like they're engaged in our platform? They're big indicators for us and they're actually the indicators we look at as we think about scaling our media spend. I don't want to have to go and rebuy every visit. So are they coming back on their own within a certain period of time and that, that helps us see that the site is proving efficient. And then finally there is the sort of litmus test of friends and family. You know, we did a lot of testing with friends and family as well as our research group. And do people like it? Are they reacting well to it?

[Interviewer]

And so how do you think about something like customer lifetime value? I mean, you know, a lot of e commerce sites where, you know, the average order value is 50 bucks or something like that, it's a whole different play. But you know, with larger purchase considerations, with, you know, some of the things you're talking about, how does, how does CLVE come into play?

[Dan Bennett]

It's really important. It might be the, it might be one of the most important components of how economically, how economically successful we can make this thing. Yeah, and I'll give you the way we think about that. You know, we as a technology, fundamentally we take a percentage of each sale. Right. It's a low percentage, but we take a percentage of each sale and we pass that sale fully through to the, the retailer. So our economics don't look the same as a furniture retailer is why I say we're not a furniture retailer in that regard. Because, you know, furniture retailers, a healthy furniture retailer margin is 30, 40%. Right. You know, if they're running a good business. So the media economics of that are different for us if we're taking a percentage. So we have to think about customer acquisitions, cost and you know, real lifetime value. And that has to come down to an amazing product. Right. I have to be able to show it to you. And then you say, hey, you know, this thing's great and I'm going to show it to my friends and family. And that old fashioned approach of building something really, really impressive, I don't think you can overcome that. And it's really important for us that we operate as a decision layer in our category a little bit like say Zillow does in housing. When you want furniture, we want to buy. We want to disintermediate the Googles of the world because we want you to come straight to furniture.com and that's the job we have to do.

[Interviewer]

Yeah, yeah. And like you said, you have the right domain for it, I think. Yeah, so, yeah, definitely, definitely. So thinking about the future a little bit, certainly at ETEL here we're surrounded by lots of talk and let's say a little bit of hype, but lots of talk and lots of real case studies as well. Based on what you've learned, building this new platform, what's the. Maybe the single most important capability that a retail brand needs to build today to remain relevant for years? No pressure.

[Dan Bennett]

No, I mean, I think, I think, I think it's. You said there's a bit of hype. I think there's a lot of hype and I'm happy that there is hype. Hype gives us all momentum and wind in our sales. I suspect the fact of the matter is that especially as you opened the conversation with high consideration purchases, the reality is you have to be able to instill trust. And I think the one thing that we don't, we love OpenAI, work a lot with OpenAI and I think we look at what they're doing and find it fascinating. But I don't think they're in a place yet where just because they can return recommendations based on your semantic queries, I don't know, they're in a place yet where people have enough trust. And I think one of the jobs we have to do over the next 12 months or so is really build a brand that people feel and a product that people feel they can unequivocally trust to buy a piece of furniture. And I don't think that's tech or I think that's purely quality product related. Yeah.

[Interviewer]

Love it. Well, Dan, thanks so much for.

[Dan Bennett]

It's my pleasure Joining today.

[Interviewer]

Two last things before we wrap up. So we're, you know, at the end of day two ish of the show, what's either been a highlight or something you're most looking forward to.

[Dan Bennett]

The highlight is probably the weather.

[Interviewer]

Yeah, yeah, Definitely better than east coast

[Dan Bennett]

coming from New York. Here are the highlights. Probably the weather. I think the program is probably the highlight. It's been, there's been some, there's been some good programming here. Yeah. What am I looking forward to? I think you can't see it, but you can hear it. We have a furniture.com lounge here in the middle of the conference. And I think what I'm looking forward to is welcoming more people into this. We've, we've. Yeah, like we're sitting there. We've had some great folks just come and hang out and both partners and potential partners and vendors and it's been lovely to have a living room where people can just come and spend time with us. So, yeah, I'm looking forward to more of that.

[Interviewer]

I mean, I want to, I want to live here.

[Dan Bennett]

You're very welcome. Move on in.

[Interviewer]

Right, right, nice. Well, last question for you. What do you do to stay agile in your role and how do you find a way to do it consistently?

[Dan Bennett]

I think that the simple answer is probably I just we suck knowledge in. You know, I suppose it's education, but we are constantly me and my two partners are fiends for new news. And then, and then like you said, that BS filter, you got to have that in there, right? But if you can suck it all in and then make sure you're adopting the most recent tools, don't have to. You don't have to use them all the time. But I think that helps us stay massively agile and it's helped us scale a business without having to grow the human capital too big. So I think with striking that balance has been agility is what's fundamentally driven that.

[Interviewer]

Yeah, love it. Well, again I'd like to thank Dan Bennett, [e-mail] for joining the show. You can learn more about Dan, furniture.com and etail by following the links in the show notes.

[Greg Kilstrom]

This episode is brought to you by Tech Systems. They're leaders in full stack, tech services, talent solutions and helping companies put it all in action. You can learn [e-mail] and thanks again for listening to the Agile Brand podcast. If you liked the episode, hit subscribe and drop a rating so others can find the show too. And if you're interested in consulting, advisory work, or if you need a speaker for your next event, feel free to reach out. Just visit GregKilstrom.com that's G R E G K I H L S t r o m.com the Agile brand is produced by Missing Link, a Latina owned, strategy driven, creatively fueled production co op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. Until next time, stay curious and stay agile.

[Dan Bennett]

The Agile Brand.