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The hidden cost of selling without recommendations

A jigsaw with a missing piece revealing a banknote underneath

A customer buys a camera and discovers on arrival that they still need a compatible memory card. They place another order, pay another delivery charge and wait before using the camera.

Your sales report shows a completed purchase. It says little about the avoidable inconvenience that followed. A clear recommendation before checkout could have helped the customer get what they needed in one order.

This is a useful place to look for missed value: purchases that are technically complete but leave the customer poorly equipped for the task.

Make the recommendation necessary to explain

Ask what the customer needs to use the product successfully. Distinguish an essential companion item from an optional extra, and say what is already included.

For the camera, that means checking the supported card type and whether the customer owns one. Suggesting a card automatically could create a duplicate purchase. A short explanation lets the customer make an informed choice.

The same care applies to upgrades. Recommend a more capable model when you can explain which requirement it meets. A larger basket should have a reason behind it.

Consider the experience after delivery

A recommendation affects what happens when the order arrives. Good advice can help the customer begin using the product with fewer surprises. Poor advice can create another support request or a return.

Reichheld's Loyalty Rules! discusses how customer retention can improve the economics of a business over time. That provides context for looking beyond a single transaction, but it does not prove that an accessory recommendation will create a repeat customer.

Treat the longer relationship as something to earn and observe. Help the customer choose well today, then measure whether they return. How a good recommendation is built is described in how a personal recommendation can improve an upsell.

Find gaps in your own catalogue

Start with the questions people ask after delivery. Look for missing accessories or unclear requirements that could have been explained before purchase.

Review the relevant product pages and recommendations together. If the information is present but customers keep missing it, change where or how it appears.

Give advisors the same guidance so the page and the conversation agree. Conflicting answers can undo the reassurance you intended to provide.

Measure whether the advice helps

Track how often customers add a relevant companion item, and check whether those items are later returned. Include the cost of any discount in the result.

Comparisons between assisted and unassisted orders can reveal patterns, but the groups may differ in their original intent. A structured trial gives you a better basis for deciding whether the recommendations themselves add value.

BeamCart's feature overview includes reporting for sales made during calls. Use that visibility alongside customer feedback to improve the advice, especially where a completed order still leaves a problem to solve.

Source

Fred Reichheld: Loyalty Rules!, chapter 1, Bain-hosted excerpt, printed pages 10 and 11. Used for the retention principle, not a forecast for an individual store.

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