Shock absorbers are, by design, invisible. Every one of them lives underneath a car, looks identical from the outside, and does nothing to help the customer understand what it actually does. Sean Reyes spotted that information gap in 2012 and built Shock Surplus around it—not as a marketing angle, but as the entire business model. The company sells aftermarket automotive parts solely through dropshipping, carries no inventory, and competes in a commodity category where any competitor can list the same SKUs by tomorrow afternoon. What they can’t replicate quickly is 13 years of independent product testing, a YouTube channel built on genuine expertise, and an email program driving 18% to 20% of an eight-figure revenue. Here, Sean breaks down how the education-first model works—from the original insight that shocks are a “black box” to the flywheel that turns organic video into sales months later, and how he’s built a team to run it without him.
On shock absorber mystery—and why that became a business:
Every shock absorber underneath a car looks the same. You can never tell what any of them do. And so I was helping customers with this problem all day long, fielding the same questions constantly—there are so many brands, so many vehicles, and none of the brands will tell you what’s actually in the shock.
I just realized how many people out there needed help with the most basic thing I could help them with. And so I started Shock Surplus out of a need to educate. There was a huge gap. I felt I could help in a scalable way—as an education-first company.
That’s still the whole thing. Our real product and value is knowledge and experience. That drives our recommendations. For others, it can be shoes, backpacks, or cameras—whatever it may be. That deep product knowledge and deep customer understanding is the actual moat.
On the content strategy that exploded early growth—and has since run its course:
Early on in our space, when someone’s on a product discovery journey—whether it’s for a mattress, car parts, or new shoes—they always come down to a few options. It’s either A, B, or C.
And so we started what we kind of coined as manufactured controversy: putting brands head to head in the content. That helped brand loyalists from one camp discover the other brands, and it pitted those loyalists against each other in the comment section. We basically manufactured debates online. That definitely helped [a lot of our content explode] in the early days.
It doesn’t work so much anymore, for a host of reasons. But product discovery is still one of our key tenets. There’s a lot of product out there that’s not well known—we’ve tested it ourselves, and we’re trying to get it in front of the audience.
On how YouTube testing shifts the entire catalog—not just the marketing:
Over the past few years, we’ve shifted market sentiment for certain product lines. We’ll discover that a product is actually way more appropriate for what customers are looking for, when most of them had just been defaulting to a bigger brand with more mindshare.
There are brands that have dominated for 10, 20 years. And so when we discover a new product coming into a segment, we shift a lot of customers in that direction because we know it’s a better solution for them.
That naturally waterfalls down. Landing pages on our Shopify site will say “top recommendation” or “top staff pick”—and some of those are surprising to people who’ve been following us for a while. They’ll ask why, and the answer is: Check these four blog posts where we did all the in-depth testing. Every YouTube video has a blog post associated with it, usually a vehicle journey. It cascades into whole sections of the business.
On the flywheel—from disproportionate organic performance to a sale six months later:
We’ve always kept our content team in-house, and whenever something did well—a disproportionate amount of likes, [something] went viral for us, a ton of engagement in the comment section—we’d take that content piece and either reframe it as an ad or just boost it directly.
That piece of content did 20 times better than the usual stuff. Something about it resonated. So we’d turn it into ads delivering to landing pages or blog posts, and we’d get a disproportionate amount of email sign-ups from that as well. All of those sign-ups then converted over the course of three, four, six months into sales in the store. That pipeline has been one of the core keys to success, in a big way.
On email doing 18% to 20% of revenue in a business people assume is search-driven:
Email’s gone through this cycle of love, hate, effective, ineffective. The truth is it produces real money. We do eight figures in business and we have very tight attribution in Klaviyo—even then, we’re doing about 18% to 20% of revenue through email. You can’t ignore it. There’s still no replacement for it, even with everyone’s crowded inboxes.
For us, it serves as bottom of funnel for people looking for discounts, so they buy from us instead of a competitor. But also middle of funnel, even top-of-funnel, for people just getting into aftermarket, off-roading, or performance driving who want to know more.
We’ve built out flows for all segments, all education—all the content we’ve been doing for years delivered to a specific vehicle, specific brand line, type of driving. We’re talking to a lot of different segments. Alex Hormozi talks about creating an offer so good you can’t ignore it. I took that to heart and [delivered] a lot of that inside our email flows. Because no one else has done the very hard work of discovering exactly what these products do.
On why legacy automotive businesses are losing ground:
[For] so many shops and brands in this space, the founder will not jump in front of a camera. They don’t have anyone on staff who will either. They’re engineer-led, they figured out a great product, they built a business around it. And they like doing things their way. But they want to grow, and they’re just allergic to adapting to technology.
The older legacy businesses are wondering why they’re losing ground. It’s because they have no content plan. The audience doesn’t know anything behind the scenes—they don’t know the founder, they don’t know anyone on the team. It’s just a website and a phone number.
We’re all dying by a thousand cuts of the attention economy. Everyone’s on their phone, on YouTube, Instagram, TikTok. And if you’re not there gaining your audience’s attention in some form or fashion, you’re dying every day. People online are gaining customer trust every single day. And if you’re not competing for that trust, sooner or later you won’t be able to just spend money on your catalog to get sales. Those days are getting harder every day.
On why a human relationship with your audience is now an AI moat:
I think that’s more important now than ever with AI content. The one thing AI is not going to replace is the human on the other side, and the relationship on the other side with that brand.
We’ve got a pretty big head start there. A lot of it is young founders building that audience relationship. The old legacy businesses are the ones wondering what happened.
On removing himself as the key man in content:
It was pretty important for me to not be the key man. I don’t mind being on camera—it comes naturally and it’s worked well. But education distribution can only rely on genres available. The business model is education distribution. I’m the only one who can do it, that’s the bottleneck.
I’m lucky enough to have people in-house who can hold the encyclopedia of product knowledge and be comfortable in front of a camera. Having a team with the same mission is a tremendous help.
About 75% of what’s happening now happens without me. I project manage, I give direction, I help around the edges. But the core model is being administered by our in-house media team. And that’s what’s working very well.
On the attribution problem that content-driven commerce still hasn’t fully solved:
All the metrics don’t live inside a 30-day attribution window. How do you track an audience across 60, 90, even 150 days when they’re researching a $2,000 set of shocks? That’s been the marketing problem for decades.
Is it the ad they saw on YouTube? The organic piece on Instagram? The email they opened 45 days ago? We use Prescient AI now to better understand our mixed-media spend. A lot of these tools from Meta and Google are getting better at understanding attribution and audience signals. And so we’re just getting better at converting all the organic traffic that stems from education.
Catch Sean’s full interview on Shopify Masters to hear how he thinks about profitability over revenue, why he’ll sacrifice his top salesman over a culture fit, and what AI means for a business built entirely on human knowledge.
