What slow customer support actually costs your Shopify store

Short answer: three separate numbers, from three separate sources, point the same way. "Where is my order" questions make up 40 to 60% of ecommerce support contacts and cost roughly £4.50 to £8 each to handle. Replying to a customer within an hour meets the expectations of 88% of shoppers, most teams don't get close. And extra costs showing up late, mainly shipping, are the single biggest reason people cited for abandoning a cart. None of these numbers were built to go together, but lined up, they show the same gap: slow, repetitive support quietly taxes both your support budget and your conversion rate.

Figures below come from each source's own page, opened directly, checked October 22, 2026.

The three numbers

WISMO tickets are the biggest, most avoidable chunk of support volume. According to ShippyPro, "where is my order" contacts represent 40 to 60% of all inbound ecommerce support contacts, at an average cost of £4.50 to £8 per contact. ShippyPro sells shipping notification software, so it has a direct interest in this number looking large; the figure is still useful as a rough order of magnitude, not a precise industry constant.

Most teams reply slower than shoppers expect. A benchmark compiled by TextExpander, citing a 2020 Toister Performance Solutions study, found that replying within one hour meets the expectations of 88% of surveyed consumers. The same page cites LiveChat's own platform data, drawn from more than 35,000 companies and last updated in 2024, putting the average live chat first response at 35 seconds after an agent picks up the conversation, but an average queue wait of 4 minutes 18 seconds before that happens. LiveChat sells live chat software, so its own platform data reflects stores already using a chat tool, not the market as a whole.

Unexplained costs at checkout are the top cited reason shoppers abandon a cart. Baymard Institute, checked October 22, 2026, found that among shoppers who abandoned a cart and weren't just browsing, 40% cited "extra costs too high (shipping, tax, fees)" as their reason, the single largest cause in its latest study. Baymard's broader figure, an average cart abandonment rate of 70.22%, is itself an average across 50 different studies run between 2006 and 2025, so treat it as a rough baseline, not a precise number for your store. Baymard sells UX research and audit services, which gives it an interest in checkout friction looking like a solvable, fundable problem.

A worked example, using only the numbers above

These numbers weren't collected together, so this is illustrative, not a measured outcome for any real store. Say a small store gets 500 support contacts a month. If 40% are "where is my order" questions, the low end of ShippyPro's range, that's 200 WISMO contacts. At £4.50 to £8 each, that's roughly £900 to £1,600 a month spent answering a question a tracking page could have answered. That's before counting the queue-wait side: if a chunk of those shoppers also hit a support widget on the product page before buying and wait the 4-minute-18-second average queue time LiveChat reports, some will simply leave, feeding into the same "extra cost or unanswered question" bucket Baymard's abandonment data describes.

The pattern across all three sources is the same: a large share of contact volume is repetitive and predictable, waiting for the first reply is where most of the damage happens, and unanswered or unclear information at the point of purchase is costly. None of this requires a bigger support team; it requires answering the predictable questions faster, before a human needs to get involved.

What actually moves these numbers

• A visible order-status or tracking page cuts WISMO contacts at the source, since the shopper never needs to ask.
• An instant first reply, even an automated one, closes most of the gap between the 88% expectation and a multi-hour real response, long before a staff member sees the message.
• Clear, early shipping and cost information addresses Baymard's largest cited abandonment reason directly, on the product and cart pages, not buried in a policy link.

An AI agent like Chatbait, which answers visitor questions straight from a store's own pages and policies, is one way to get an instant first reply on the predictable questions (where's my order, what does shipping cost, what's your return window) without touching headcount. It's free up to 300 AI replies a month, and it says so when a question needs a real person instead of guessing. It won't fix a checkout bug or a genuinely confusing shipping policy; those still need fixing at the source. For a broader order of operations on cutting this volume, see how to reduce Shopify support emails, and for the replies you'll still send yourself, see customer service email templates.

Frequently asked questions

What percentage of ecommerce support tickets are "where is my order" questions?

According to ShippyPro, 40 to 60% of inbound ecommerce support contacts are WISMO related, at an estimated £4.50 to £8 per contact to handle. ShippyPro sells shipping notification software, so treat this as a directional figure, not an exact industry number.

How fast do customers expect a reply?

A 2020 Toister Performance Solutions study, cited by TextExpander, found that replying within one hour meets the expectations of 88% of surveyed consumers. Live chat shoppers expect faster: LiveChat's own 2024 platform data across 35,000+ companies shows an average 35-second first response once an agent picks up, but a 4-minute-18-second average wait before that happens.

What's the biggest reason shoppers give for abandoning a cart?

Extra costs appearing late, mainly shipping, tax or fees, according to Baymard Institute's latest quantitative study, cited by 40% of shoppers who abandoned a cart and weren't just browsing.

Does fixing response time actually reduce cart abandonment?

These are separate studies measuring separate things, so there's no single number connecting them. What the data supports is a shared pattern: unanswered or slow-to-answer questions at the point of purchase correlate with both higher support cost and higher abandonment, in the sources checked above.