You need a few bundles for your Black Friday and Cyber Monday deals. Black Friday falls the day after Thanksgiving in the US, so the plan has to be ready weeks before. The usual source is a list of generic ideas (skincare sets, tech starter packs) or whatever many retailers are promoting. Your own orders already show which products customers buy together and which ones they come back for. The best Black Friday deals for your shop are built from that: they sell on Black Friday weekend, and they also set up the second order.
Key takeaways
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Choose product bundles from pairs your customers already buy together or in sequence, not from a generic list.
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Four measures rank a pair: how often it appears, how likely the second item is given the first, how much more often than chance (lift), and how much revenue it carries.
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Same-basket pairs lift the first order. Cross-order pairs, bought on a later order, make better retention bundles.
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Avoid bundling substitutes, two products customers choose between. The bundle takes sales from both at a lower price.
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Include at least one product that gets used up, and after the sale compare the second-order rate of bundle buyers with single-item buyers.
How do I choose which product bundles to offer for Black Friday?
Pair products your customers already buy together or one after the other, and make sure at least one item is a product that brings customers back. The pair has to exist in your orders before the sale, not only in a mockup.
Three filters narrow the list:
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The pair already happens. Customers put both items in the same order, or buy the second item on their next order, more often than chance would explain.
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One item retains. At least one product is something customers reorder, so the bundle leads somewhere after Black Friday.
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The margin survives the discount. Check the bundle price against the cost of both items before you promote it. Deep discounts on a bundle can cost more money than the extra orders bring in. The bundle profitability calculator helps with that check.
Format matters less than product choice. A fixed bundle sells a complete set in one click. A mix and match bundle lets customers choose their own items. A quantity break rewards larger orders with a better unit price. A buy X get Y offer or a free gift with purchase adds perceived value without cutting the headline price. All of them work once the products are right, and each should show the individual item prices next to the bundle price so the saving is visible.
The same goes for early access for existing customers or a limited time flash sale on one bundle: those are choices about delivery, not about which products go together. Test one format per bundle so you can tell what worked. Doorbuster deals, countdown timers and early-bird offers drive traffic on the day. The bundle's job is different: it decides what that traffic buys.
How do I find products that sell together in my own orders?
Look for pairs of products that appear in the same order more often than chance, and that carry enough revenue to matter. This is what market basket analysis measures.
Four measures, in plain words:
| Measure | What it tells you |
|---|---|
| How often the pair appears | Out of all orders, how many contain both products |
| How likely B is, given A | Out of orders with product A, how many also contain product B |
| Lift | How many times more often the pair appears than it would if purchases were random |
| Revenue carried | Total revenue of the orders that contain both products |
Read them together. A pair with high lift but very few orders is a curiosity, not a bundle. A pair that appears often only because both products are bestsellers has a lift close to 1 and adds nothing: those customers would buy both anyway.
Building the pair list from your order export
A spreadsheet is enough for a small catalog.
Columns needed: order id, order date, customer id or email, product id or SKU, product name, quantity, line revenue.
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Export last year's orders and remove canceled and refunded ones.
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Group rows by order id and list the distinct products in each order.
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For every pair of products, count the orders that contain both.
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Count the orders that contain each product on its own.
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Compute the four measures above for each pair.
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Keep pairs that appear in a meaningful number of orders, then sort by lift.
For a larger catalog the pair count grows quickly and the spreadsheet stops being practical. The Shopify bundle finder finds your strongest product pair from an uploaded orders export.
Same-basket pairs versus cross-order pairs
Same-basket pairs make good "complete the set" bundles and raise the value of the first order. Cross-order pairs, where customers buy A first and B on a later order, make better retention bundles because they follow the path your returning customers already take.
A cleanser and moisturizer bought together is a same-basket pair. It tells you what goes in the first box. It says nothing about whether the customer comes back.
A cross-order pair does. To find them, sort the export by customer and order date, take each customer's first order and second order, and count which products most often appear in the second order after each first product. If many customers who start with a cleanser come back for a serum, a cleanser and a sample serum together gives the new customer the reason to return in the first box.
The product bundles that increase repeat purchases article goes deeper into building bundles around these sequences.
Which Black Friday bundles cannibalize full-price sales, and how do I spot them?
Bundles of substitutes do. Substitutes are two products customers choose between, so they rarely appear in the same order. Bundling them at a discount takes full-price sales from both.
In the data, a substitute pair looks like this:
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Both products sell well on their own.
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They appear together far less often than chance would predict, a lift well below 1.
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Customers who buy one on a first order tend to buy the same one again, not the other.
Two roasts of the same size, two shades of the same foundation, two flavors of the same protein powder: these are the usual suspects. If you have excess stock of one, discount it on its own, or put it in a mystery bundle aimed at bargain hunters. Keep it out of the bundles you want to use for retention. Affinsy reports substitute pairs alongside the bought-together rules, from an uploaded order export, so you can check a bundle before it goes live.
Three Black Friday deals to build from your data
Each type comes from a different pattern in your orders.
Entry bundle. The product new customers most often start with, plus the product they most often buy next. Built from cross-order pairs. It is aimed at first-time Black Friday buyers and shortens the path to the second order.
Completion bundle. Two or three products customers already buy in the same order, sold as a set. Built from same-basket pairs with good lift. It raises order value and suits gift buyers in the holiday shopping season, especially when you pair a bestseller with a high-margin add-on and group gift bundles by price point. A good completion bundle covers one complete need: the whole routine, the whole brewing setup, the whole gift.
Refill bundle. A larger quantity of a product customers reorder, sized to a real reorder cycle: two or three bags instead of one. Built from the reorder gap per product. It suits existing customers who already know the product. If you sell subscriptions, the same sizing works for subscription bundles.
Promote no more than a handful across the three types. A short list is easier to measure, and easier for customers to choose from.

Worked example: picking bundles from one year of orders
An illustration with round numbers, not a benchmark.
A coffee store has 20,000 orders from the past year.
| Data point | Orders |
|---|---|
| Orders with House Blend 1 kg | 5,000 |
| Orders with a reusable canister | 2,000 |
| Orders with both | 800 |
| Orders with Espresso Blend 1 kg | 3,000 |
| Orders with House Blend and Espresso Blend | 75 |
House Blend and canister:
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How often: 800 of 20,000 orders, or 4%.
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How likely the canister is, given House Blend: 800 of 5,000, or 16%.
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Lift: the canister appears in 2,000 of 20,000 orders, or 10%, on its own. 16% divided by 10% is 1.6, so the pair appears 1.6 times as often as chance.
House Blend and Espresso Blend:
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By chance you would expect 5,000 × 3,000 ÷ 20,000 = 750 orders with both.
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There are 75, a lift of 0.1. Customers pick one or the other. These are substitutes.
The sequence: 3,000 customers bought House Blend on their first order, and 1,200 of them, or 40%, came back for a second bag.
What the store builds:
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Entry bundle: House Blend with a canister, promoted to new customers.
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Refill bundle: two bags of House Blend, promoted to existing customers.
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Not built: a House Blend and Espresso Blend duo. It would sell, mostly to customers who would have bought one of them at full price anyway.
Should a Black Friday bundle include a replenishable product?
Yes, in most cases. The product that gets used up is what brings the customer back, so a bundle with one gives you a natural reason and a date for the second order, and keeps earning year round, long after the holiday season.
Pair the replenishable item with an accessory or a higher-value item that does not run out, and plan the reminder for when the replenishable one is likely to be running low. The replenishment email timing guide covers how to set that date, and Black Friday customer retention covers the December and January follow-up for the whole cohort.
If your products do not run out, use the cross-order pair instead: bundle the first product with a sample or small size of the item customers most often buy next.
How do I tell after the sale whether the bundle worked?
Check three numbers: attach rate, full-price sales lost, and the second-order rate of bundle buyers against single-item buyers. The first two tell you about the Black Friday sales. The third tells you about retention.
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Attach rate. Out of orders with product A during the sale, how many also contained product B? Compare with a normal week before Thanksgiving. If it did not rise, the bundle was not what drove the pair.
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Full-price sales lost. Compare single-item, full-price orders of each bundled product during the sale window with the same weeks before it. A sharp drop that more traffic does not explain means the bundle pulled shoppers down from full price, and the savings went to customers who would have paid more.
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Second-order rate. Take the first-time buyers of the bundle and the first-time buyers of product A alone. Count how many in each group placed a second order within 60 and 90 days. This is the number that says whether the bundle built customers.
Do the second-order check in February, once the cohort is old enough. The Black Friday cohort analysis article shows how to set up that comparison.
Next steps
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Export last year's orders and build the pair list with the four measures.
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Find the most common first product and what customers buy next.
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Check your shortlist for substitute pairs and drop them.
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Build one entry bundle, one completion bundle and one refill bundle, with a replenishable product in each where you can.
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Write down the attach rate and full-price baseline now, so you can compare after the sale.
If you would rather have the pairs, the substitutes and the second-order sequences worked out for you, the 48-hour analysis delivers them from your own orders, in time for the sale when booked by 31 October.
FAQ
How early should I decide on Black Friday bundles?
Several weeks before the sale, ideally by early October. Many retailers start Black Friday deals in October, and a sneak peek to your list builds anticipation. You need time to pull the data, check the margin, set up the bundle in your store and write the emails. Decided the week before, a bundle is a guess.
How many bundles should I include in my Black Friday promotions?
A handful at most, across the three types. Each extra bundle splits attention and makes the after-sale check harder to read.
Can I bundle a slow-moving product to clear stock?
You can, but keep it out of your retention bundles. Pairing a slow mover with a bestseller rarely creates a real pair, and it makes the attach rate meaningless as a measure of what customers want.
Should the bundles change between Black Friday and Cyber Monday?
Keep the core bundles the same across the whole weekend, so shoppers who miss Friday find the same offer on Monday. Changing them mid-sale muddies the measurement and adds operational risk. If you want something new for Cyber Monday, add one bundle rather than replacing the others.
What if I sell only a few products?
The method still works. With a small catalog, focus on the sequence: what customers buy first and what they buy next. That one pair is usually your entry bundle.