15 Chatbot Conversation Starters for Ecommerce

A shopper who has viewed several products is stuck rather than uninterested, and comparison help is the highest-converting offer available.

4. The comparison offer

You've been between [product A] and [product B] — want the honest difference? It's mostly [key difference].

After viewing two or three products in a category. Naming the actual difference in the starter demonstrates the offer is real.

5. The what-others-choose opener

Most people comparing these end up with [product] because of [reason]. Happy to explain if that's useful.

Social proof works here because the shopper has already demonstrated the difficulty.

6. The specification question

Is there a specific thing you're trying to match — [attribute one] or [attribute two]? I can filter on that.

Suits technical categories where the decision turns on a specification the shopper knows.

Extended time on one product without adding to basket usually indicates a specific unanswered concern.

7. The sizing concern

Sizing the thing holding this up? I can tell you the actual measurements or what most people go for with [product].

The dominant hesitation in apparel and footwear and the one most often left unaddressed.

8. The returns reassurance

If it's the risk of getting it wrong — returns are [policy summary], so it's less of a commitment than it looks.

Answers the objection directly rather than offering to answer questions.

9. The delivery timing

Need it by a particular date? I can check what's realistic to your postcode before you commit.

Especially effective near gifting occasions, where timing frequently determines the purchase.

10. The direct ask

Anything specific stopping you? Genuinely happy to just answer it rather than sell you anything.

Blunt and effective after prolonged hesitation, provided the follow-through matches the promise.

The stock reassurance

There are [number] of these left in [variant] — not trying to rush you, just so you know.

Only use where the figure is genuine, since customers detect manufactured scarcity and it damages trust broadly.

Gift shoppers are buying for someone else's taste, which is a distinct and difficult problem worth addressing explicitly.

11. The gift opener

Buying for someone else? Tell me a bit about them and I'll suggest three things rather than the whole catalogue.

Gift shoppers convert well because they want to be told what to buy.

12. The occasion timing

If this is for [occasion], the last order date is [date]. Want me to check what still arrives in time?

Both useful and urgent without any manufactured scarcity.

13. The gifting practicalities

Want it gift wrapped, sent directly, or with the price hidden? All three are options.

These questions are asked constantly and answering proactively removes the contact.

Existing customers should not be greeted as though they are new, and their known history makes better starters possible.

14. The reorder opener

You bought [product] back in [month]. Want the same again, or something different this time?

Reorder is the easiest conversion in ecommerce and is frequently not offered at all.

15. The complement opener

Since you've got [product], [complementary item] is what people usually pair it with. Not pushing it — just in case.

The explicit low pressure framing is what keeps this welcome rather than promotional.

The open order check

Your [order] is due [date]. Anything you need on that, or here for something else?

Anticipates the most likely reason an existing customer opened the widget.

The common features are specificity, a limited ask and an obvious way to decline.

Naming something concrete

Every starter above references an actual product, category, difference or date rather than offering general help.

Specificity is what separates a starter that gets a reply from one that gets dismissed.

Promising a small effort

Two questions, three suggestions and one check are all bounded commitments, which is why shoppers accept them.

An open-ended offer of help asks the shopper to define the interaction, which most will not do.

Making refusal easy

Phrasings such as if that's useful and just in case give the shopper permission to ignore the message without friction.

This matters commercially, since a dismissed starter that felt pushy suppresses engagement later.

Matching effort to basket value

A conversation offering two questions suits a modest purchase, while a considered high-value one justifies a fuller consultation.

Offering the same depth regardless of value either wastes effort or underserves the purchases that matter most.

Chatboq triggers on behavioural signals including products viewed, dwell, purchase history and return visits, which is what makes stage matching possible.

Stage inferred from behaviour

Products viewed, time in category, repeat visits and purchase history together indicate the stage more reliably than the current page does.

This is why the same product page can host an early browsing starter and a comparison one depending on who is looking.

Inventory and order aware

Starters referencing stock, delivery dates or previous orders require live data, without which they become generic and lose their advantage.

Connecting these is what allows the specificity that makes the starters work.

Measuring by stage

Reply rate, conversation to purchase and dismissal are reported per starter, which shows which stages are worth addressing and which are not.

Comparison and hesitation starters typically outperform browsing ones substantially, which usually changes where effort goes.

Starting with three

Comparison, hesitation and reorder are the three highest-return starters in most ecommerce deployments and are worth building before the others.

Adding more only once these are performing keeps total proactive volume low enough to remain welcome.