How In-Chat Recommendations Raise Average Order Value

A shopper who has already chosen a product is in a rare and valuable frame of mind: they trust you enough to buy. That is the moment most stores waste, either by staying silent or by throwing up a wall of unrelated 'you may also like' tiles that everyone has learned to scroll past. A recommendation only works when it feels like help - the thing an attentive salesperson would mention because it genuinely makes the purchase better. This piece looks at how in-chat suggestions raise average order value by offering the right add-on at the right point in the conversation, framed as usefulness rather than pressure.

Why random upsells get ignored

Most upsell widgets recommend by category or by whatever sells best, not by what the shopper in front of you actually needs. They fire the same carousel at everyone, regardless of what is already in the cart or what the conversation just revealed. Shoppers read this instantly. An irrelevant suggestion does not only fail to sell; it quietly erodes trust, because it signals that the store is optimising for its own margin rather than for the customer's outcome.

• A phone case shown after a phone is obvious; a case that fits that exact model and is in stock is genuinely useful.
• Bundling five accessories at once reads as a sales pitch and gets dismissed as a single block.
• A cross-sell that ignores the budget the shopper just named feels tone-deaf and pushy.

How in-chat recommendations stay relevant

• It reads the cart and the chat, so a suggestion fits the specific item, not just its broad category.
• It offers add-ons that solve a real need: setup, protection, refills, or a natural pairing.
• It proposes a bundle only when the parts truly belong together, and says in a line why they do.

Timing and tone are the whole game

The best moment to suggest is after the customer has decided, not while they are still weighing options: interrupt too early and you stall the sale you already had. Offer one clear, relevant addition, give the reason in a single sentence, and make declining effortless. If the answer is no, the assistant moves on without nagging or repeating itself. Handled this way, the extra item feels like a considerate reminder rather than a hard sell, and the suggestions customers do accept lift the average order value without a single pushy line.

If your store keeps seeing people buy one item where they needed two, in-chat suggestions are worth a small, low-risk test. StartReply reads your catalogue and the conversation, then offers add-ons that actually fit, so you can watch the effect on average order value before changing anything else. You can connect it to your own store today and see which relevant pairings your checkout has quietly been missing.