Key takeaways

  • Every suggestion panel on a product page has the same job, to put more items in the order.
  • They work through the Diderot effect, anchoring and decoy pricing, so the extra items feel like part of one decision instead of new ones.
  • A written list naming what you came for, and what you are not buying, is the simplest defense. Anything you skip can be bought later if you truly need it.

The short version

Time to run
One shopping trip
Difficulty
Easy
  1. Write what you came for, the size or spec, and the most you will pay.
  2. Look at the item on its own, away from the styled photo or room set.
  3. Read every suggestion beside it as an ad, not as advice.
  4. Price any bundle against only the pieces you would buy anyway.
  5. Pay for the one item, then close the tab or leave the store.

You open a product page for one jacket. Under the photo is a row headed “Complete the look,” with the trousers, boots, belt and bag the model is wearing. Further down: “Pairs well with,” “Frequently bought together,” and a bundle that adds a care kit at a discount. At checkout, one more: “Customers also added.” None of it is an accident. Each panel is designed to turn one item into an order of several.

Our page on how marketers use the Diderot effect lists the tactics and how to spot them. This playbook goes one level down, into how the suggestions are built, and then gives you a routine for buying the one thing you came for.

How the suggestions are built

The styled photo. The product is never shown alone. It is photographed as part of a set, worn with matching pieces or placed in a furnished room, and every piece in the set is for sale. You see the jacket as a member of an outfit, which is how Grant McCracken, who named the Diderot effect, said we judge our things: by whether they belong together.

Matching by machine. “Pairs well with” lists are increasingly chosen by software that has learned what goes together. In 2015 Julian McAuley and colleagues described a system trained on a very large set of product images to tell alternatives (two pairs of jeans) from complements (jeans and a matching shirt). A 2019 paper took the next step and named the task “Complete the Look”: given a photo of a whole outfit or room, recommend the products that would look right in it. The aim is visual fit, which is exactly the pull the Diderot effect describes.

Bought together. “Customers who bought this also bought” lists come from a method described by engineers in 2003: item-to-item collaborative filtering, which links products that appear in the same orders. The list shows what other people added, which makes adding it feel normal.

Bundles and starter kits. A camera with a bag and a spare battery, a hobby kit with tools you do not know how to use yet. A review by Stefan Stremersch and Gerard Tellis sets out the many forms bundling takes. For you, the important feature is that a bundle prices several purchases as one decision.

Why it works so well

Three effects do most of the work.

  • Anchoring. Once you have accepted a $180 jacket, a $35 belt looks small beside it. In Amos Tversky and Daniel Kahneman’s classic demonstration, an arbitrary number pulled people’s later estimates toward it. Here the anchor is the main item’s price, and every add-on is judged against it. That is the anchoring effect.
  • The decoy. Kits often come in three tiers. The middle one, priced just above a weaker basic kit, looks like the obvious choice. Joel Huber, John Payne and Christopher Puto showed that adding a clearly worse option shifts choices toward the option that beats it, the decoy effect.
  • Fewer decisions. A ready-made outfit or kit saves the effort of choosing each piece, which is appealing when a store offers more options than anyone can compare. That is one face of the paradox of choice.

Sellers often track the share of sales that include an add-on, sometimes called the attach rate. The logic is simple: the second item is cheap to sell, because you are already at the checkout with your card out.

The list that names what you came for

The defense is a short written list, made before you open the site or walk into the store. It has four lines:

  1. The item. What it is, the size or specification, and the color range you will accept.
  2. The ceiling. The most you will pay, including shipping.
  3. The three things it must go with. Pieces you already own. If it only works with the store’s matching set, it fails. A personal uniform makes this quick for clothes.
  4. The not-buying line. The add-ons you already know will be offered: belt, case, care kit, cable, protection plan, matching cushions. Naming them in advance turns each offer into a decision you have already made.

Decision rule: anything not on line 1 is not bought on this trip.

How to buy one piece and walk away

Online. Search for the item by name instead of browsing from the home page. On the product page, look at the item’s own photos on a plain background, check the size, and add it to the cart. Scroll past the suggestion panels without opening them. At checkout, answer “no” to every added item; your list has already done the thinking. Then close the tab. If the cart total is a few dollars short of free shipping, pay the shipping. Filling the gap usually costs more, which our page on how to stop impulse buying explains.

In a store. Go to the item, not through the displays. Carry it rather than taking a basket for a single piece. If an assistant suggests the matching piece, a plain “just this, thanks” ends the conversation. At the register, the same answer works for the protection plan.

For a bundle. Write down the price of each piece you would have bought on its own. Add those up. If that total is lower than the bundle, buy the pieces. If the bundle is lower, buy it, but count the extras you did not want as part of what you paid for.

Decision rule: any add-on you think you might need waits a week. Most turn out to be unnecessary, and the rest can be bought later, often for less.

Variations

  • New hobbies. Skip the starter kit. Buy or borrow the one essential piece, use it for a month, and let the hobby tell you what it needs.
  • Rooms. Furniture shown in a room set is the same trap at a larger scale. Use one room at a time and buy only what fails the room’s job.
  • Gifts. Give the item, not the set. The person can complete it in their own way, or not at all.
  • On a tight budget. Skip the add-ons entirely for the first month. You will learn which ones you actually miss.

What goes wrong, and the fix

  • “It’s only $20 more.” The anchor is doing the arithmetic. Fix: ask whether you would buy the $20 item if you had walked in for it alone.
  • The return that brings the extras. You return the main item and keep the accessories that only made sense with it. Fix: return the set together, or think twice about adding them in the first place.
  • The look you carry home. The outfit in the photo stays in your head, and next week the trousers seem essential. Fix: put them on a waiting list with a date, and judge them on that day against what you own.

Questions readers ask

Are the suggestions ever useful?

Sometimes. A charger that fits, the right filter for a machine or the correct size of bulb can save you a wrong purchase. The test is whether you need it for the main item to work. If you need it to make the main item look right, it is the trap.

Is a starter kit cheaper than buying the pieces separately?

Often, if you would buy every piece. Usually you would not. Price only the pieces you would choose on their own, at the quality you would choose them. If those cost less separately than the kit, the saving advertised on the box is the price of things you did not want.

What about the emails that arrive after I buy?

Emails headed "complete your look" or "you might also like" are the same panel, sent later. Unsubscribe from marketing messages while keeping order updates, which most stores separate. If one gets through, it goes on your waiting list like any other want.

Sources

  1. McAuley, Targett, Shi and van den Hengel (2015), Image-based recommendations on styles and substitutes, Proceedings of the 38th International ACM SIGIR Conference A system that learns from images which products are alternatives and which go together, such as jeans and a matching shirt.
  2. Kang, Kim, Leskovec, Rosenberg and McAuley (2019), Complete the Look: Scene-based complementary product recommendation (arXiv) A method for recommending products that look right with a whole outfit or room photo, from fashion and interior images.
  3. Linden, Smith and York (2003), Amazon.com recommendations: Item-to-item collaborative filtering, IEEE Internet Computing 7(1) The method behind lists of items that other customers bought together.
  4. Stremersch and Tellis (2002), Strategic bundling of products and prices: A new synthesis for marketing, Journal of Marketing 66(1) A review of the forms bundling takes and when it pays for sellers.
  5. Huber, Payne and Puto (1982), Adding asymmetrically dominated alternatives: Violations of regularity and the similarity hypothesis, Journal of Consumer Research 9(1) The study showing that adding a clearly worse option shifts choices toward the option that beats it.
  6. Tversky and Kahneman (1974), Judgment under uncertainty: Heuristics and biases, Science 185(4157) The classic account of anchoring, in which an arbitrary starting number pulls later estimates toward it.
  7. Culture and Consumption (Grant McCracken, Indiana University Press, 1988; this page is the 1990 paperback) The account of Diderot unities, the sets of goods we expect to belong together.

Page history: first published .