How DTC brands can turn Black Friday shoppers into repeat customers

Black Friday can bring thousands of new customers to a DTC brand. The harder question is how many of them become repeat customers.

A sales spike looks great on a dashboard. But if most of those people buy once and disappear, you may be spending more to win customers than you’ll ever earn back from them. So the useful place to look is what happens after the first purchase.

How do you turn Black Friday buyers into repeat customers?

Treat the first order as the start of a relationship. Split your BFCM buyers into new and returning customers, send each group a follow-up written for them, and wait for a second order inside a window that matches how often people rebuy your product. Then measure the result against a holdout group that got no emails, so you know what your follow-up actually caused.

A real example: DORADO’s BFCM campaign

Flowium, an email marketing agency, published a case study on its work with DORADO, a jewelry and accessories brand, during Black Friday and Cyber Monday 2024. It reported a 138.8% increase in email-attributed revenue.

The campaign ran in stages:

• Early November: re-engage subscribers who had gone quiet
• Mid-November: tease the upcoming deals
• From November 22: early-access emails to VIPs, a week ahead of the main sale
• Thanksgiving to Giving Tuesday: the sale opens to everyone

It’s a good example of how much email can do in a seasonal push. It also leaves a question the headline number can’t answer: what happened to those customers after the sale ended?

Why the second order matters more than the first

The weekend itself keeps getting bigger. Shopify says its merchants sold $14.6 billion over Black Friday and Cyber Monday 2025, up 27% on the year before, to more than 81 million customers. A lot of those customers were buying from a brand for the first time.

Returning customers are where the growth came from, though. In its BFCM 2025 results, Klaviyo reported that revenue from repeat customers grew 13.5% year on year, faster than revenue from new buyers. It also found that discounts fell 10% while spending rose 11%, and that brands offering the smallest discounts grew the most, at 14%.

The research on discounts points the same way. A study in the Journal of Marketing Research by Michael Lewis (2006) looked at customer data from a newspaper and an online grocer and found that the deeper the discount used to win a customer, the less often that customer bought again. In his example, customers acquired with a 35% discount were worth about half as much over time as customers who paid full price.

Black Friday can still be worth running. The sale is only half the job, though. If you plan the follow-up as carefully as the sale, a one-time bargain hunter has a real chance of becoming a regular.

The data problem most brands have

Customer data usually lives in several places. Shopify has purchases and order history. Klaviyo has email engagement and attributed revenue. GA4 has website behavior. Your ad platforms each report their own version of campaign performance.

Looked at one by one, these dashboards don’t show the full customer journey. You might know how much revenue an email generated and still not know whether those buyers came back, which channels brought in the most valuable customers, or what to do next.

That’s why connecting and reconciling the data matters. It’s also the problem I’m working on with Snowdots, a tool that helps agencies and marketing teams pull their marketing data into one place so they can investigate performance with AI instead of stitching reports together by hand.

How I’d analyze the campaign with Claude

You don’t need a data science team to start asking better questions. With clean exports from Shopify, Klaviyo, GA4 and your ad platforms, Claude can help you find patterns and suggest experiments. Here’s the approach I’d take.

1. Separate first-time buyers from returning customers

Split your BFCM buyers into two groups:

• First-time customers acquired during BFCM
• Existing customers who bought again during the campaign

Then compare their order values, acquisition sources, discounts used and total revenue. This answers a basic but important question: did the campaign mostly bring in new customers, or did it get existing customers to spend more?

2. Track what happens after the first purchase

Group customers by the date of their first order, then measure how many place a second order within 30, 60 and 90 days. Compare the customers you won during BFCM with customers from a regular month.

Don’t write someone off because they haven’t returned in 30 days. The right window depends on your product and how often people normally rebuy it.

What you’re trying to learn is whether seasonal promotions bring in customers with long-term value, or customers who only buy when there’s a discount.

3. Find the follow-up opportunities

Not every customer needs the same email.

A first-time buyer may need product education, care instructions or ideas for what goes well with their purchase. A returning customer may respond better to early access or a loyalty offer. Someone who browsed but didn’t buy needs a different message again.

Use the data to find which groups are most likely to make a second purchase, then test follow-up campaigns written for them.

4. Measure more than email-attributed revenue

Attributed revenue is useful, but it doesn’t tell the whole story. Some of those customers would have bought without the email.

Where you can, compare campaign recipients with a holdout group that didn’t receive the campaign. Klaviyo describes its global holdout groups as a way to answer exactly this: would your subscribers still have bought if they hadn’t received any marketing? On a smaller list, you can do the same thing by hand, leaving a random 10% of new buyers out of the follow-up flow.

Alongside that, track:

• Repeat-purchase rate
• Time to second order
• Average order value
• Contribution margin after discounts and marketing costs

A worked example

These numbers are made up to show the method. Use your own.

Say a candle brand gets 1,000 orders over the BFCM weekend. When you split them, 700 are from first-time customers and 300 are from people who had bought before.

You look back at last March, a normal month. Of the customers who first bought in March, 18% ordered again within 90 days. Of the 700 new BFCM customers, only 9% have ordered again 90 days later. That gap is the cost of the discount. Those buyers came for the deal, and half as many came back.

The 300 returning customers tell a different story. 30% of them buy again within 90 days, because they already liked the product. For them, Black Friday mostly moved a purchase they were going to make anyway, which is fine, but it isn’t growth.

Now the follow-up. You hold back 70 of the 700 new buyers at random and send the rest a post-purchase flow. After 90 days, 13% of the emailed group have ordered again, against 9% of the holdout. Klaviyo may show the flow earning far more than that, but the real lift is 4 points. On 630 people at a $45 average order, that’s about 25 extra second orders and roughly $1,100 in revenue the emails actually caused. Small, but it repeats every year, and those customers are now more likely to order a third time.

What to send after Black Friday

A simple post-purchase flow covers most of what a small brand needs. Here’s the order I’d use for first-time BFCM buyers:

1. Day 1 or 2: a thank-you. A short note from the founder, written like a person and with no discount. Say what happens next with their order.
2. When the order arrives: help with the product. Care instructions, sizing, how to style or use it. This is the email that stops returns and builds trust.
3. About two weeks later: a review request. Ask how they’re finding it. Reviews also give you words to use on product pages.
4. Halfway through your normal repurchase window: a suggestion. Something that goes with what they bought, or a refill. Base it on what customers who bought the same thing ordered next.
5. Near the end of the window: a gentle nudge. If they still haven’t come back, this is the place for a modest offer, not before.

Returning customers who bought during the sale need less education. Send them a thank-you, then early access to the next drop or a loyalty perk. Klaviyo’s 2025 numbers suggest this group responds to being treated as regulars more than to blanket discounts.

If you sell gifts, remember that many BFCM orders were for someone else. A gift buyer may not need care tips, but they may want a reminder before the next birthday or holiday. That’s why gift-led brands like home and lifestyle brands and jewelry brands should plan their follow-up around the gifting calendar as well as the repurchase cycle.

When to set it up

Black Friday 2026 falls on 27 November, with Cyber Monday on 30 November. Work backwards from that:

• By early November: pull last year’s BFCM customers and check how many came back. That’s your baseline.
• By mid-November: build and test the post-purchase flow, and set aside the holdout group so it’s in place before the first order arrives.
• Sale weekend: tag orders by whether the customer is new or returning, so the split is clean later.
• Late December and again in late February: check second orders at 30 and 90 days, and compare the emailed group with the holdout.

If you’re short on time, the first two emails do most of the work. You can add the rest in January.

A Claude prompt to get you started

Adapt this for your own store:

Act as a DTC growth analyst. Analyze the customer, order, email, website and advertising data I provide.

Separate first-time buyers from returning customers. Identify acquisition sources, compare customer cohorts, calculate repeat-purchase rates where the data allows, and investigate which customer segments are most likely to purchase again.

Look for patterns that could inform post-purchase email campaigns. Distinguish correlation from causation, flag missing or inconsistent data, and never invent metrics.

For every finding, explain the business impact, show the supporting evidence, and recommend one practical experiment. Prioritize experiments by potential impact, confidence and implementation effort.

Before you trust the output, check that customer IDs match across sources, the date ranges are consistent and revenue isn’t counted twice. Claude can do a lot of the analysis, but it needs reliable data and a person reviewing what comes back.

The bigger opportunity

More emails and another dashboard won’t fix this on their own. What helps is connecting acquisition, customer behavior and revenue, so you can make better decisions about who to win and how to keep them.

A campaign report shouldn’t stop at “we generated more revenue.” It should tell you what happened, why it happened and what to test next.

If you’d like a head start, our free email flows playbook includes copy for a post-purchase sequence you can adapt. If you’d rather hand it over, we set up email flows as a one-off extra, and Social Growth includes two email campaigns a month to keep new customers hearing from you after the sale.

So, if you run a DTC brand: after Black Friday, what gets more of your attention, finding new customers or getting the ones you have to buy again?