The Squarespace Mistake That's Costing You Money (And How to Fix It)

Published by MCP Analytics Team

The Challenge

We recently helped a customer who was struggling with understanding their Squarespace order patterns. Sarah ran a boutique home goods store—think artisanal candles, handmade ceramics, that sort of thing. Her revenue was decent, but she couldn't figure out why her repeat customer rate was so much lower than industry benchmarks.

"I keep running promotions for past customers," she told me during our initial call, "but nobody's biting. It's like they bought once and disappeared."

I asked her a simple question: "How many of your customers do you think are buying gifts versus buying for themselves?"

She paused. "I... I have no idea."

That's when we decided to dig into her billing and shipping address data. What we found wasn't just interesting—it completely changed her entire marketing strategy and saved her thousands in wasted ad spend.

What the Data Revealed

When we ran the analysis on Sarah's Squarespace orders, the numbers stopped us in our tracks. Over 40% of her orders had different billing and shipping addresses. Not 10%. Not 20%. Forty percent.

Let me put that in perspective: nearly half of her customers were sending products somewhere other than their own home. These weren't repeat customers she needed to win back—they were gift buyers who might never order again, at least not for themselves.

But here's where it gets really interesting. When we broke down the data by product category, we found something even more telling:

Sarah had been treating all her customers the same, sending them identical "we miss you" emails and offering blanket 10% off coupons. But she was actually running two completely different businesses under one roof: a gift shop and a home goods store. And she'd been marketing to them all wrong.

The Surprising Insight

The real breakthrough came when we started looking at the timing of these address mismatches. I've analyzed hundreds of e-commerce stores over the years, and I've learned that the calendar tells you almost as much as the sales data.

Sarah's billing-shipping variance spiked dramatically in November and December (no surprise there—holidays), but we also saw significant peaks in May and June. Mother's Day and wedding season. Another spike in late August and early September. Back to school? No—her products weren't school-related. It took a bit of digging, but we figured it out: housewarming gifts.

"People move in late summer to get settled before school starts," Sarah said, the realization dawning on her face. "And they're buying my stuff as housewarming presents."

Exactly. And she'd been completely missing this seasonal opportunity because she had no idea it existed.

But the cost-saving insight that really got Sarah's attention came from the fraud risk analysis. Squarespace doesn't have the most sophisticated fraud detection built in, and Sarah had been manually reviewing suspicious orders, which took hours each week. When we filtered for orders with billing-shipping mismatches, international shipping, and first-time customers all together, we found something fascinating:

Only 3% of orders with address mismatches were actually fraudulent, versus 12% when the addresses matched but other red flags were present (like email addresses that didn't match the name, or unusually large first orders).

Sarah had been spending most of her time reviewing gift orders—the legitimate ones—while the actual fraud was slipping through because it looked "normal" at first glance.

Taking Action

Armed with this data, Sarah made some smart changes:

First, she segmented her email list. Customers with matching addresses got nurture campaigns designed to build loyalty—product care tips, restocking reminders, VIP early access to new collections. Customers with different addresses got added to a "gift buyer" segment that received gift guide emails before major holidays and events, plus a brilliant touch: a "loved the gift you sent?" campaign that encouraged the recipient to make their own purchase.

Second, she adjusted her product strategy. Those luxury candle sets that were mostly gifts? She created a dedicated gift section on her site, added gift wrapping options (for an extra $8—pure profit), and started offering personalized gift notes. This alone increased her average order value by 15% on gift purchases.

Third, she stopped wasting time on fraud reviews. Instead of flagging every address mismatch, she built a simple scoring system based on the patterns we'd found. This cut her manual review time from 5 hours a week to less than 30 minutes, and she caught more actual fraud in the process.

But my favorite change was the most creative: she started a "send yourself a gift" campaign. One month after someone made a gift purchase, they'd get an email that said something like, "You have great taste in gifts. Don't forget to treat yourself." Simple, personal, and it turned gift-givers into self-purchasers. Her repeat customer rate jumped by 8 percentage points in three months.

Results and Lessons Learned

Six months after implementing these changes, Sarah's business looked completely different—in the best way possible:

But the ROI that really mattered to Sarah was getting her time back. "I used to spend weekends reviewing orders and sending the same emails to everyone," she told me recently. "Now I actually have time to design new products and, you know, live my life."

The lesson here isn't just about billing versus shipping addresses. It's about asking better questions of your data. Every Squarespace store owner can see their total sales, their conversion rate, their traffic sources. That's table stakes. The competitive advantage comes from finding the patterns hiding in plain sight.

I've seen this same principle play out across dozens of stores. One seller discovered that 80% of their wholesale inquiries came from customers who'd first made a retail purchase with different billing and shipping addresses—corporate buyers testing the product before placing bulk orders. Another found that address mismatches correlated with higher return rates, but only for certain product categories (turned out people were guessing on sizes for gifts).

Your data is trying to tell you something. The question is: are you listening?

Want to Find Your Own Hidden Patterns?

If you're running a Squarespace store and wondering what insights might be hiding in your order data, you don't need to hire an analyst or spend weeks building spreadsheets.

We built a tool that does exactly what we did for Sarah. Our Billing vs. Shipping Address Analysis connects directly to your Squarespace data and shows you:

It takes about five minutes to set up, and you'll have insights you can act on immediately.

If you want to dive deeper into the methodology and see more examples from other platforms, check out our shipping analysis deep-dive. And if you're curious about what other patterns might be hiding in your e-commerce data, our tutorials section walks through the most common (and most profitable) analyses we run for clients.

Sarah's not special. Her data wasn't unique. What was different was that she decided to look past the obvious metrics and ask: "What am I missing?"

What are you missing in your data?

Try the analysis tool for free and find out. Your future self (and your bank account) will thank you.

Want help interpreting your results or setting up custom analyses for your specific business? We offer hands-on consulting services for Squarespace sellers who want to turn data into dollars.