Latest / Small Business Success with Fexingo: Local Companies, Main Street Stories, and Community Commerce / How a Local Dry Cleaner Used Smart Pricing to Survive the Remote Work Shift
Transcript
- Lucas: So Marta Delgado had been running GreenSpin Cleaners on the edge of downtown Minneapolis for eleven years. Her business was built on office workers — suits, blouses, the occasional tie. By April 2020, that traffic was gone. And unlike a lot of her competitors, she didn't just slash prices and hope. Luna: She did something else. I remember reading about this — she actually raised prices on some items while lowering others. It felt counterintuitive at first. Lucas: Exactly. She told me that in the first month of the pandemic, revenue dropped about 60 percent. And she realised pretty quickly that the old model — charge the same for everything, wait for customers to walk in — was dead. So she took a weekend and built a spreadsheet. Luna: A spreadsheet. I love that. No consultants, no software. Lucas: Right. She listed every service she offered — shirts, pants, dresses, comforters, curtains — and next to each one, she wrote down two numbers. First, how much it cost her in labor and chemicals. Second, how often people actually brought it in. And she found something interesting. Luna: Let me guess — the items with the highest markup were the ones people stopped needing. Lucas: Bingo. Suits and formal dresses had a 70 percent margin, but demand had collapsed by 80 percent. Meanwhile, casual shirts and household items like blankets — lower margin, but people were still bringing them in because they were home and actually using those things more. So she did two things at once. Luna: She lowered the price on the high-frequency items to drive volume, and raised it on the low-frequency but high-margin ones to capture the remaining demand. Lucas: Exactly. She dropped the price on a laundered shirt from $2.50 to $1.75. That's a 30 percent cut. But she raised the price on a three-piece suit from $12 to $18. And here's the key: she didn't just set these prices and forget them. She tracked weekly volume by category and adjusted. The spreadsheet had a simple formula — if volume dropped more than 10 percent in a week, she'd nudge the price down by 5 percent. If volume held steady, she'd hold the price. Luna: That's basically a primitive algorithm. How did customers react? Lucas: Surprisingly well, because she communicated it. She put a small sign in the window: 'Pandemic pricing — we adjust so you can keep your clothes clean without breaking the bank.' And she trained her counter staff to explain it. 'Your shirt is on special this week. Your suit is a bit more because we're doing fewer of them.' Customers appreciated the transparency. Luna: So the pricing change was a band-aid. But she also needed a way to get people to actually come in, or at least to pick up. Lucas: Right. Because if nobody's walking past your storefront, lower prices don't matter. So she started a subscription. The idea was simple: pay $30 a month, get up to four shirts laundered each week. If you didn't use all four, they rolled over. And she offered free pickup and delivery within a two-mile radius. Luna: That's a huge logistical lift for a small shop. How did she handle the routes? Lucas: She mapped it by hand. Literally printed out a map of the neighborhood, put pins in every subscriber's address, and grouped them by day. Monday east side, Tuesday west side, and so on. She had an old Honda Civic with 180,000 miles on it, and she did the deliveries herself for the first six months. Eventually she hired a part-time driver. Luna: And the subscription took off? Lucas: It did. Within three months she had 80 subscribers. That's 80 households paying $30 a month just for the subscription fee, plus whatever extra items they added. The subscription itself is low-margin — after gas and labor, she nets maybe $8 per subscriber per month. But the retention is incredible. The average subscriber stays for 14 months. And they add extra services — dry cleaning, alterations — at full price. Luna: So the subscription is a loss leader that builds a relationship. Classic SaaS model applied to dry cleaning. Lucas: Exactly. And by June 2021, her total revenue was back to 90 percent of pre-pandemic levels. By the end of 2022, she was actually up 15 percent year-over-year. As of last quarter, June 2026, she's running at 22 percent above her 2019 baseline. Luna: That's impressive. But a lot of small businesses tried similar things and failed. What made her execution different? Lucas: I think it's two things. First, she treated the business like a science experiment — test, measure, adjust. She didn't set the pricing once and hope. She literally had a weekly meeting with herself every Sunday where she looked at the numbers and made small changes. Second, she never stopped thinking about the customer experience. The subscription wasn't just a pricing gimmick — it came with a genuinely better service. She texted customers when their clothes were ready. She used eco-friendly chemicals and marketed that. She made the whole thing feel personal. Luna: And now she's got a business that's actually more resilient than before. Because she diversified her revenue streams — subscription income, residential pickup, dynamic pricing — so she's not dependent on one type of customer. Lucas: That's the key takeaway. She told me, 'Before the pandemic, I had one business. Now I have three, all under one roof.' And that's a lesson any local service business can apply. Whether you're a cleaner, a plumber, a dog walker — think about what happens if your main customer base dries up. Can you build a subscription? Can you offer a different price for a different service? Can you deliver instead of waiting for people to come to you? Luna: It's worth noting that not everyone has Marta's willingness to tinker with a spreadsheet every Sunday. But the framework is replicable. Lucas: Absolutely. And that's actually a good moment to mention something. If this conversation has given you a practical idea, or even just a nudge to think differently about your own business — that's exactly what we're here for. And the reason we can keep doing these episodes ad-free, diving deep into one story at a time, is because of listener support. So if today was useful, you can help keep it going at buy me a coffee dot com slash fexingo. No pressure, genuinely. It's just what keeps the lights on. Luna: Yeah. And on that note, I think the real test of Marta's model is whether it survives the next downturn. She's already proven she can adapt. Lucas: And she's still running that spreadsheet. She told me last week she's now tracking a new metric — the percentage of subscribers who add an extra service each month. It's at 62 percent. She wants to get it to 70. That's the kind of incremental focus that turns a survival story into a growth story. Luna: Love that. So for anyone listening, the question is: what's your version of a Sunday spreadsheet? Lucas: Figure that out, and you're already ahead of most businesses. For Small Business Success with Fexingo, I'm Lucas. Luna: And I'm Luna. See you next time.