E-commerce
July 1, 2026
A customer may request that their conversations not be used to improve a chatbot, analyze quality, or train a system. This request must be understood precisely and handled with care.
The chatbot must explain what can be excluded, what falls under support retention, and what official procedure allows for exercising a right or objection.
This guide shows how to respond to conversation data opt-out requests without confusion or overpromising.
Summary
Why must the opt-out be handled with precision?
The client does not always speak legal language. They may say “I do not want to be used to train AI,” “delete my messages,” or “do not use this conversation.” These requests are not exactly the same.
The chatbot must therefore clarify the intention and guide toward the correct procedure, without improvising a privacy decision.
An opt-out request is not a product question; it is a request for trust and sometimes of law.
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Which requests should be distinguished?
A distinction must be made between opposition to training, exclusion from quality analysis, deletion of conversation, access to data, restriction of processing, marketing unsubscription, and general privacy requests.
Each may have a different procedure. The chatbot must avoid promising "everything is deleted" if certain data must be kept legally or for support purposes.
How to answer simply?
The bot can explain that the brand provides a dedicated procedure for data-related requests. It can collect the type of request, the account concerned, and the conversation if the customer identifies it.
It must also remind the user not to share any password, banking code, or unnecessary data in the chat.
How to talk about boundaries?
Some conversations may be temporarily retained to process a ticket, comply with an obligation, or prove an interaction. The chatbot must explain this according to the official policy, without giving improvised legal advice.
If the customer requests a formal response, the file must be transferred to the competent team.
How to keep a useful record?
The request must be recorded with the type of opt-out, the date, the account or channel concerned, and the action taken. This traceability prevents the customer from repeating their request.
The chatbot must transmit only the necessary information to the privacy team.
Which flow to follow?
The flow must clarify without treating the matter lightly.
Identify if the request concerns training, quality, deletion, access, or marketing.
Explain the official procedure and known limitations according to the published policy.
Collect the necessary details without requesting unnecessary sensitive data.
Confirm that the request is transmitted or directed to the dedicated channel.
Forward any objection, deletion, access, privacy dispute, or formal request.
Which messages should be used?
To clarify: "Would you like to exclude this conversation from service improvement, request deletion, or exercise another right regarding your data?"
For procedure: "Data-related requests go through a dedicated procedure to be processed correctly."
For caution: "I cannot confirm a deletion here, but I can forward the request to the correct channel."
When to transfer?
Transfer is required for any request regarding objection, deletion, access, limitation, proof of processing, privacy complaint, or disagreement over the use of conversations.
The bot must transmit the type of request, account, conversation concerned if known, date, concern, and the policy consulted.
Which KPIs should be monitored?
Track opt-out requests, deletions, objections, processing times, repeated requests, privacy complaints, and satisfaction after guidance.
These data show whether customers can easily find how to control the use of their conversations.
Which mistakes should be avoided?
Avoid treating opt-out as a simple preference, promising immediate deletion, confusing marketing with AI training, or collecting too much information.
The chatbot must be clear, cautious, and compliant with the brand's procedure.
How can Qstomy help?
Qstomy can connect the chatbot to the catalog, cart, authorized history, support conversations, privacy rules, rights requests, product recommendations, and escalation procedures to respond clearly, and then transfer sensitive cases with an actionable summary.
The chatbot helps the customer move forward without inventing compatibility, a preference, a data rule, a history, or a recommendation that has yet to be confirmed by a reliable and authorized source.
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Key takeaways
Key Takeaways
Requests to exclude conversation data must distinguish between training, quality, deletion, access, marketing, and support retention.
What the Customer Needs to Understand
The customer must understand which procedure to follow and what limits may exist.
The Chatbot's Proper Limit
The chatbot can clarify and forward, but it must escalate any formal or disputed privacy request.
Enzo
July 1, 2026
