Report · Market analysis · Every figure attributed

Conversational commerce: consumers adopted AI to shop, then refused to let it pay

Two things happened that most forecasts got wrong. Consumers adopted AI for shopping remarkably fast — 77.6% used it in a six-month window — and then refused to let it transact: only 23–30% trust AI to spend on their behalf.

OpenAI withdrew Instant Checkout from ChatGPT after Walmart reported roughly 3x lower conversion on in-chat purchases than on redirects. Meanwhile, with far less attention, WhatsApp commerce quietly moved around $45 billion in sales.

The interesting question is not which forecast was wrong. It is what the correction reveals about where the deciding moment of a purchase now sits — because it moved somewhere most small businesses are badly equipped to be standing.

By Jugl11 min readMarket reportInteractive model

Short answerFor AI overviews

The 60-second version

AI won product research and lost the checkout. 77.6% of consumers used AI for shopping in six months and 43.2% use it weekly (Search Engine Land), but only 23–30% trust AI to spend on their behalf, and OpenAI withdrew Instant Checkout from ChatGPT (CNBC).

Buying went back to trusted channels. Walmart found redirecting to its own site converted ~3x better than in-chat checkout. Agent-referred traffic grew 805% but converts about 86% worse than affiliate traffic (MetaRouter) — because those visitors are researching, not buying.

Messaging is where the deciding conversation happens. WhatsApp commerce moves roughly $45 billion, 175 million people message a business daily, and 56% of businesses on WhatsApp Business report increased revenue (Salesforce State of Messaging).

The practical consequence for a small business: customers arrive pre-researched with one or two specific questions. Speed of answer is now a conversion metric, not a service metric — and structured, accurate product data is the entry ticket to being found at all.

What is conversational commerce?
At a glance
The prediction that didn't survive contact with reality
Where buying actually happens now
What this means if you're not Walmart
The protocols, briefly
What to actually do this quarter
The questions behind the shift
Methodology and disclosure
FAQ — 20 questions
People also ask

01Definition

Definition

What is conversational commerce?

Conversational commerce is selling through a two-way conversation — on WhatsApp, Instagram DM, Facebook Messenger, website chat or SMS — rather than through a static storefront alone. The customer asks about sizing, delivery, availability or policy, and is guided to a purchase inside that same thread. It is distinct from agentic commerce, where an AI transacts on the customer's behalf: 77.6% of consumers now use AI to shop, but only 23–30% trust it to spend for them. Around $45 billion in global sales flows through WhatsApp commerce, 175 million people message a business daily, and 84% of e-commerce brands treat conversational commerce as a strategic pillar. Its decisive variable is response speed, because the customer usually arrives with one question left.

Definition maintained by the Jugl Editorial Team. Figures cited on this page are attributed to Search Engine Land, Forrester, MetaRouter, CNBC and Salesforce.

Dimension	Conversational commerce	Agentic commerce
What it is	Selling inside a two-way conversation	AI transacting on the customer’s behalf
Consumer trust	Established — 175M message a business daily	23–30% trust AI to spend for them
Current status	~$45B in WhatsApp sales alone	In-chat checkout withdrawn; discovery retained
What it needs	A channel and somebody to answer	Protocol implementation, marketplace scale
SMB readiness	Actionable today	Not yet actionable
Prerequisite	Clean structured product data	Clean structured product data

02At a glance

Conversational commerce at a glance

At a glance

Definition: Selling inside a two-way conversation on messaging or chat, rather than through a storefront alone.
Market signal: ~$45B in WhatsApp commerce sales; 84% of e-commerce brands treat it as strategic.
Consumer behaviour: 77.6% used AI to shop in six months; 43.2% weekly or more (Search Engine Land).
The trust boundary: Only 23–30% trust AI to spend on their behalf. Research moved to AI; payment did not.
What changed: In-chat checkout withdrawn from ChatGPT after ~3x worse conversion than redirects (CNBC).
Where sales close: Trusted channels — the retailer’s own site, Amazon (~40% of US e-commerce), or a messaging thread.
Decisive variable: Response speed. The customer arrives pre-researched with one or two questions left.
Prerequisite: Accurate stock, current prices, complete attributes, real descriptions.
Best use cases: Sizing and fit, delivery questions, availability, bookings, cart recovery, post-purchase.
Who should invest now: Any business whose customers already message it — retail, D2C, hospitality, clinics, appointment-led services.
Who can wait: Businesses with no messaging volume and no pre-purchase questions.
Expected outcome: 56% of businesses on WhatsApp Business report increased revenue (Salesforce State of Messaging).

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03The correction

The prediction that didn't survive contact with reality

The consensus was that AI agents would buy things for people. OpenAI launched the Agentic Commerce Protocol with Stripe, with Etsy, Walmart and Shopify as launch partners. Shopify's president called it a new frontier. Visa shipped its Trusted Agent Protocol. Mastercard's Agent Pay processed its first live agentic payment. The infrastructure arrived on schedule.

Then OpenAI pulled Instant Checkout and refocused on product discovery and comparison (CNBC).

The reasons were mundane and instructive. Inventory and price data across millions of retailers could not be reconciled fast enough — outdated stock and prices broke trust immediately. And consumers did not want it: Forrester's survey of 700 shoppers found only about a third willing to complete a payment inside an answer engine at all, with privacy the leading objection.

Both reasons should interest you more than the headline. The first says data quality decided a market-level outcome — the same data quality that decides whether your products appear in an AI research answer. The second says trust is channel-specific, not technology-specific: people were happy to be advised by AI and unwilling to be transacted by it in a place they did not already trust.

04Where buying happens

Where buying actually happens now

77.6%used AI to shop in six months

23–30%trust AI to spend for them

805%growth in agent-referred traffic

$45BWhatsApp commerce sales

The behaviour that emerged is a clean three-way split, and it is clearer than the forecasts were.

AI for research

62% use AI for comparison shopping and 68.5% for product research. ChatGPT dominates at 77.6% of AI shoppers, with Gemini second at 58.2%. This is now a normal part of how people decide what to buy, and it happens entirely outside your website analytics.

Trusted channels for the transaction

Amazon still captures around 40% of US e-commerce, and 90% of its shoppers start there. Walmart found redirecting to its own site converted roughly 3x better than in-chat checkout. Agent-referred traffic grew 805% but converts about 86% worse than affiliate traffic (MetaRouter) — not because it is bad traffic, but because those visitors are researching rather than buying.

Messaging for the deciding conversation

This is the part getting the least attention and doing the most work. While the agentic checkout story was being corrected, WhatsApp commerce moved around $45 billion, 175 million people messaged a business daily, and 56% of businesses on WhatsApp Business reported increased revenue (Salesforce State of Messaging). The full channel dataset is in the WhatsApp Business statistics.

What a pre-researched buyer is worth, by how fast you answer

They compared five options elsewhere. They arrive with one question left.

Buying-intent visits a month900

People who reached your site, DMs or WhatsApp with a purchase in mind — not total traffic.

Share who ask a question first12%

Sizing, delivery, compatibility, returns. The last unknown between them and a card payment.

Your average time to answer3.0 h

Measured from their message to your reply — including evenings, weekends and lunch hours.

Average order value$75

Used to convert the answered-versus-unanswered gap into money.

Buyers who ask108per month, pre-researched

You convert$1,12515 orders

If you answered instantly$3,37545 orders

The gap$2,250same customers, slower reply

Roughly $2,250 a month sitting in your reply queueThose are not lost leads. They are buyers who did the research, chose you, asked one question, and got an answer after the moment passed. This is the single most recoverable revenue in the whole report, because nothing about your product, price or marketing has to change to recover it.

05For you

What this means if you're not Walmart

Three practical implications, and they are considerably more useful than anything in the protocol headlines.

The decisive conversation still happens in your channelsCustomers may research in ChatGPT, but they come to you with the questions that actually decide it — sizing, delivery, whether it fits their situation. That conversation happens on WhatsApp, Instagram, or your own site. Whoever answers it well wins the sale, and that is a far more actionable insight for a small business than anything about checkout protocols.

Speed is now the differentiator, not selectionWhen a customer has already compared five options in an AI chat, they arrive with one or two specific questions and very little patience. Answer in seconds and you convert; answer tomorrow and they have bought elsewhere. WhatsApp's 98% open rate and five-minute read time mean the channel is instant — but only if you are.

Structured product data matters more than it didAI agents evaluate products on structured data quality, availability accuracy, price competitiveness and merchant trust signals. If your catalogue is thin, keyword-stuffed or out of date, you are invisible in the research phase that now precedes most purchases — and you will never see it happen, because it happens somewhere your analytics cannot reach.

The uncomfortable version of implication 2. Every hour of reply latency is now measured against a buyer who is one browser tab away from a competitor who has the same product. This is the mechanism by which businesses lose sales they never knew they were in the running for — and it is why the model above is the most important thing on this page.

06Protocols

The protocols, briefly

Worth knowing even if you cannot act on them yet.

Protocol	Owner	Status
ACP — Agentic Commerce Protocol	OpenAI + Stripe	Launched with Etsy, Walmart and Shopify as partners; Instant Checkout later withdrawn, discovery focus retained
UCP — Universal Commerce Protocol	Google	Launched with Walmart, Target, Shopify and 20+ partners
Trusted Agent Protocol	Visa	Shipped and live
Agent Pay	Mastercard	Live in the US, Australia, NZ, Hong Kong and the EU

For most small and mid-sized businesses the practical answer is: don't build for these yet. Do make sure your product data is clean and your catalogue is machine-readable, because that is the prerequisite for all of them — and it is useful today regardless of which one wins.

07This quarter

What to actually do this quarter

Audit your product dataAccurate stock, current prices, complete attributes, real descriptions written for humans. This is the entry ticket to AI-mediated discovery, and it is the same work that stopped agentic checkout from functioning at scale — which tells you how much it matters.

Cut your response time on messaging channelsIf a researched customer asks a question and waits four hours, you have lost. This is the highest-return operational change available to most businesses, and unlike the others it compounds every single day you leave it in place.

Make your brand consistently described across the webAI research answers are assembled from third-party sources. If review sites and directories describe you wrongly, that is what buyers see — and you never get the chance to correct it in the moment.

Measure AI-referred traffic separatelyIt converts differently and behaves differently. Blending it into Direct hides both the opportunity and the leak.

How Jugl fits this pattern

The pattern above — research elsewhere, decide in conversation — is essentially the specification for a conversational agent that can sell rather than only support. Jugl runs one AI agent across WhatsApp, Instagram, Facebook Messenger, website chat, email and SMS, grounded in your own catalogue, prices and policies. It recommends from real products, looks up real orders, books real appointments, qualifies leads, and hands over to a person with the full thread when judgement is required.

Why that shape matters specifically here. A customer who arrives pre-researched with two questions does not want a ticket raised — they want both questions answered now, on the channel they are already holding. One agent with one shared customer history means the person who asked on Instagram and followed up on WhatsApp is the same person, not two strangers starting over. Jugl customers typically see around 73% fewer tickets reaching a human at roughly 94% satisfaction, and pricing is published flat tiers — Free, $31, $119 and $390 a month — with nothing metered per message, per token or per resolution. See what Jugl is, or automating e-commerce with AI agents for the operational version.

08Direct answers

The questions behind the shift

How has the buying journey actually changed?

Short answer

The research moved into AI assistants and the transaction stayed where it was. 68.5% of consumers use AI for product research and 62% for comparison shopping, but they complete the purchase on the retailer's own site, a marketplace, or inside a messaging conversation. What compressed is the middle: customers arrive already decided, with one question left.

Stage	How it used to work	How it works now
Discovery	Search, ads, social browsing	AI assistant — 68.5% use it for product research
Comparison	Open five tabs, read reviews	One AI answer — 62% use it for comparison shopping
The last question	Contact form, wait a day	Messaging — answered in seconds or lost
Transaction	Retailer site or marketplace	Still the retailer site or marketplace
Where you can influence it	SEO, ads, merchandising	Structured product data, then reply speed
What decides the sale	Selection and price	Whoever answers the remaining question first

Key takeawayYou cannot influence the research phase directly — it happens in a system you do not control, assembled from sources you did not write. You can influence what it assembles from, and you entirely control what happens when the customer finally messages you.

Did agentic commerce fail, or just arrive early?

Short answer

It repositioned rather than failed. In-chat checkout underperformed — Walmart reported roughly 3x better conversion redirecting to its own site — and OpenAI withdrew Instant Checkout. But AI-assisted product research became mainstream in the same period, with 77.6% of consumers using it in a six-month window. Research succeeded; payment did not.

Example

The infrastructure all shipped on schedule: OpenAI and Stripe's Agentic Commerce Protocol, Google's UCP, Visa's Trusted Agent Protocol, Mastercard's Agent Pay. What did not arrive was consumer willingness — only about a third would complete a payment inside an answer engine at all, with privacy the leading objection (Forrester).

Key takeawayBuild for the part that worked. Clean, accurate structured product data is the prerequisite for every one of these protocols and pays back today in AI-mediated discovery, whether or not you ever implement a checkout standard.

Why does reply speed matter more than it used to?

Short answer

Because the customer arrives further along. Someone who has compared five options in an AI chat is not browsing — they have one unknown between them and a payment. On WhatsApp, 88% of messages are read within five minutes, so they know you have seen it. Answer in minutes and you convert; answer tomorrow and they bought elsewhere.

Example

A store answers website chat in four minutes and Instagram DMs the next morning. The dashboard looks healthy because the website is fine. The DMs — carrying a growing share of pre-purchase questions — are losing sales that never appear as a support metric at all.

Key takeawayResponse time stopped being a service metric and became a conversion metric. That reframing is the single most useful thing in this report.

What conversational commerce delivers, and what it does not

What it genuinely delivers

Answers the last question before purchase, in the channel the customer chose
Captures buyers who would not complete a contact form
56% of businesses on WhatsApp Business report increased revenue
Works for services and bookings, not only physical products
Recovers carts by answering the objection rather than discounting
Post-purchase questions handled in the same thread, building repeat custom

What it will not fix

It cannot make you discoverable — that is a product-data problem
It cannot rescue inaccurate stock or stale pricing; it amplifies them
It generates inbound volume that has to be staffed or automated
It will not deliver agentic checkout — consumers are not there yet
Slow replies make it actively worse than having no channel at all

Your conversational commerce readiness check

Stock levels and prices are accurate right now, not weekly
Every product has complete attributes and a real description
Third-party sites describe your brand correctly — that is what AI assembles
Someone or something answers messaging within minutes, including evenings
The agent can check real availability rather than guess at it
AI-referred traffic is measured separately from Direct

Find out what your reply queue is costingThe free conversation audit maps the buying questions your current setup is answering too late — across WhatsApp, Instagram and web chat.

Get the free auditNo card required

09EEAT

Methodology and disclosure

Written by

Jugl Editorial Team

Jugl Inc., Frisco, Texas — an AI customer agent platform used by 1,000+ businesses.

Reviewed by

Jugl product & customer operations

Checked against live deployment data and current vendor documentation.

Methodology & disclosure

How this was researched. Consumer behaviour figures come from Search Engine Land's AI shopping survey and Forrester's agentic commerce research; traffic and conversion comparisons from MetaRouter; the Instant Checkout withdrawal and the Walmart conversion comparison from CNBC's reporting; messaging outcomes from Salesforce State of Messaging. Protocol status is taken from the published announcements of OpenAI, Stripe, Google, Visa and Mastercard.

What is fact and what is reading. The figures are other people's data, reproduced as published. The strategic conclusion — that the decisive moment moved into a conversation the business owns — is Jugl's interpretation of that data, and it is a self-serving interpretation, since Jugl sells software for exactly that moment. It is presented with the underlying numbers so you can reach a different conclusion if the evidence supports one.

Conflict of interest. This report is published by Jugl, which sells an AI agent for conversational selling and is therefore an interested party. Jugl's own outcome figures are customer-reported and typical rather than guaranteed.

How this page is maintained. Figures are reviewed against their originating sources. The page carries no year stamp because a dated market report misleads the moment it ages. Model outputs are illustrative estimates generated from your own inputs — not quotes, forecasts or guarantees.

10FAQ

Conversational commerce: 20 questions answered

Did agentic commerce fail?

Not exactly — it repositioned. In-chat checkout underperformed and OpenAI withdrew Instant Checkout from ChatGPT after Walmart reported roughly 3x lower conversion on in-chat purchases than on redirects to its own site. But AI-assisted product research is now mainstream: 77.6% of consumers used AI for shopping in a six-month window, and 43.2% use it weekly or more. Research moved to AI. Payment did not.

Should I build for ACP or UCP?

Most small and mid-sized businesses shouldn't yet. Clean, accurate, structured product data is the prerequisite for every one of these protocols and is worth doing regardless of which wins — accurate stock, current prices, complete attributes and real descriptions. That work pays off in AI-mediated discovery today, whether or not you ever implement a checkout protocol.

Where do customers actually buy after researching with AI?

Predominantly through channels they already trust: the retailer's own site, Amazon — which still captures around 40% of US e-commerce, with 90% of its shoppers starting there — or a messaging conversation with the business. Agent-referred traffic grew 805% but converts about 86% worse than affiliate traffic (MetaRouter), because those visitors are researching rather than buying.

Is WhatsApp commerce bigger than agentic commerce?

By a wide margin today. WhatsApp commerce moves roughly $45 billion in global sales while in-chat AI checkout was being pulled back, 175 million people message a business on WhatsApp daily, and 56% of businesses using WhatsApp Business report increased revenue (Salesforce State of Messaging). The quiet channel is doing the volume the loud one was forecast to do.

What is conversational commerce?

Selling through a two-way conversation rather than a static storefront — a customer asking about sizing, delivery or compatibility on WhatsApp, Instagram or web chat and being guided to a purchase inside that thread. 84% of e-commerce brands now treat it as a strategic pillar, and it is where the decisive moment of the new buying journey lands: customers research with AI, then arrive with one or two specific questions.

Why does response time matter more than it used to?

Because the customer arrives further along. When someone has already compared five options in an AI chat, they are not browsing — they have one unknown left between them and a payment. Answer it in seconds and you convert; answer it tomorrow and they bought elsewhere. WhatsApp's 98% open rate and five-minute read time mean the channel is instant, but only if you are.

How do I get my products found by AI shopping assistants?

AI agents evaluate products on structured data quality, availability accuracy, price competitiveness and merchant trust signals. Practically: make your stock and prices accurate and current, complete your product attributes, write real descriptions rather than keyword lists, and make sure third-party sources describe your brand correctly — AI research answers are assembled from those sources, so if review sites describe you wrongly, that is what buyers see.

Should I measure AI-referred traffic separately?

Yes. It converts differently and behaves differently — higher research intent, lower immediate purchase intent, and often a different question mix on arrival. Blending it into Direct hides both what is working and what is being lost, and it is the traffic source most likely to be mid-decision when it reaches you.

What does a business need to sell inside a conversation?

An agent that can do more than answer: read live stock and order data, recommend from your actual catalogue, book or reserve, apply your policies within limits, and hand over to a person with the full thread attached when judgement is needed. An agent that can only describe your policies is a brochure with a text box. Jugl runs one agent across WhatsApp, Instagram, Messenger, web chat, email and SMS with shared customer history, built to act on buying intent inside the conversation rather than only close tickets.

What is the difference between conversational commerce and agentic commerce?

Conversational commerce is selling inside a two-way conversation with a customer — you or your agent answering their questions on WhatsApp, Instagram or web chat and guiding them to a purchase. Agentic commerce is an AI transacting on the customer's behalf, often without them present. The first is working now at roughly $45 billion of WhatsApp volume alone; the second is early, with only 23–30% of consumers willing to let AI spend for them.

Why did in-chat checkout underperform?

Two mundane reasons. Inventory and price data across millions of retailers could not be reconciled fast enough, so outdated stock and prices broke trust immediately. And consumers did not want it — Forrester's survey of roughly 700 shoppers found only about a third willing to complete payment inside an answer engine at all, with privacy the leading objection. Walmart reported roughly 3x better conversion redirecting to its own site than completing in chat.

Which AI assistants do shoppers actually use?

ChatGPT dominates at 77.6% of AI shoppers, with Gemini second at 58.2%. 68.5% of consumers use AI for product research and 62% for comparison shopping. The practical consequence is that a meaningful part of your customers' decision now happens somewhere your analytics cannot see, assembled from third-party descriptions of your brand rather than from your own site copy.

How do I optimise my product data for AI discovery?

AI agents evaluate products on structured data quality, availability accuracy, price competitiveness and merchant trust signals. In practice: keep stock and prices genuinely current, complete every product attribute rather than the required minimum, write descriptions for humans rather than keyword lists, and use structured markup. Then check what third-party sites say about you, because that is what gets assembled into an AI answer about your brand.

Does conversational commerce work for services, not just products?

Often better. Appointment-led businesses — clinics, salons, hotels, agencies, trades — have exactly the shape conversational commerce suits: a customer with two questions and an intent to book, where the booking is the transaction. The AI answers availability, price and policy questions and takes the booking inside the same thread rather than sending them to a form they will not complete.

How fast do I actually need to reply?

Faster than feels reasonable, because the customer arrives pre-researched with one unknown left. On WhatsApp, 88% of messages are read within five minutes, so the customer knows you have seen it. A reply within minutes converts; a reply the next morning arrives after they have bought elsewhere. This is the single most recoverable revenue in the whole report, because nothing about your product, price or marketing has to change to recover it.

Is conversational commerce only relevant in WhatsApp-first markets?

No, though those markets are further ahead. WhatsApp has around 100 million users in the United States and is dominant across India, Brazil and Indonesia, but the underlying behaviour — research with AI, then ask one question in a channel you already use — is not region-specific. In Western markets it shows up more on Instagram DM and website chat than on WhatsApp. The channel differs; the compressed decision does not.

How does Jugl support conversational commerce?

Jugl runs one AI agent across WhatsApp, Instagram DM, Facebook Messenger, website chat, email and SMS, grounded in your own catalogue, prices and policies. It recommends real products, checks real availability, books appointments, qualifies leads and hands over to a person with full context when judgement is needed — with one shared customer history, so someone who asks on Instagram and follows up on WhatsApp is the same customer. Pricing is published flat tiers with nothing metered per resolution.

What is the biggest mistake businesses make here?

Treating the messaging channel as a support cost centre rather than the place the sale is decided. A team optimising for ticket deflection will close a conversation quickly; a team optimising for revenue will notice the customer was two questions from buying. Same channel, same volume, entirely different outcome — and most tooling in this category is built for the first interpretation.

11People also ask

Your next customer already knows what they want. They have one question left

They compared five options before they reached you. They are not browsing, they are deciding, and the thing standing between them and a payment is a single unanswered message about sizing or delivery. That is the whole modern buying journey, compressed into one exchange you either win or miss.

Point Jugl at your catalogue and switch on the channels your customers already message you from. It answers the last question in seconds — at 11pm, at the weekend, in their language — and brings you the conversations that genuinely need a person. The free tier is permanent and needs no card, so you can be answering tonight.

WhatsApp, Instagram, Facebook, web chat, email and SMSOne agent, one brain, one shared customer historyBooks, sells, looks up orders, qualifies leadsTrained on your data — your prices, your policiesFull-context handover to a real human, by designPublished flat tiers — nothing metered per resolution

Start free at JuglNo card · live the same day Book a demoWith the co-founders

The research already happened somewhere you cannot see. The decision happens where you reply.

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Sources: Search Engine Land consumer AI shopping survey (AI shopping adoption, assistant share, research and comparison use); Forrester agentic commerce research (willingness to complete payment in an answer engine, n≈700); MetaRouter (agent-referred traffic growth and relative conversion); CNBC reporting on OpenAI's withdrawal of Instant Checkout and the Walmart in-chat conversion comparison; Salesforce State of Messaging (WhatsApp Business revenue and satisfaction outcomes); and published announcements from OpenAI, Stripe, Google, Visa and Mastercard regarding commerce protocol status. WhatsApp commerce and messaging volume figures are aggregated from published market reporting. Figures are reproduced as published and are not independently audited by Jugl; strategic conclusions are Jugl's reading of that data. This page is published by Jugl, which sells an AI agent for conversational selling and is therefore an interested party — Jugl's own outcome figures are customer-reported and typical rather than guaranteed. Model outputs are illustrative estimates generated from your own inputs, not quotes, forecasts or guarantees. Meta, WhatsApp, Messenger, Instagram and Facebook are trademarks of Meta Platforms, Inc.; Jugl is a Meta Business Partner and this page is published by Jugl and is not endorsed by or affiliated with Meta Platforms, Inc. All other product names are trademarks of their respective owners.

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