A Viber Bot for Personalised Customer Communication

Personalised customer communication is useful when the right information reaches a person on a channel they choose, in a way that addresses their actual need. Viber chatbots may help businesses handle routine questions consistently, make notifications more relevant and organise parts of their customer conversations without unnecessary delay. Yet customer trust is not determined by the volume of automated messages. It depends on whether communications are accurate, useful and respectful of the recipient's choices.

Editorial note (October 2026): This article restores and expands Positive's historical “Alat za personalizovanu komunikaciju” (“A Tool for Personalised Communication”), first published on 3 February 2025 in the Digital Solutions category under the author Positive. Its five original areas are preserved in order: direct personalised communication, customer support automation, marketing campaigns, performance analytics, and integration with existing business systems. Historic examples involving promotions, payment reminders, frequently asked questions, coupons, surveys, CRM, Google Analytics and e-commerce remain identified as the original concept. The added 2026 discussion of user permissions, data protection, current Viber rules, pricing, AI reliability and implementation constraints is editorial guidance. It does not establish that Positive currently provides all named integrations or features in a standard product package.

A Viber bot as a tool for personalised customer communication

Positive's original article described Viber bots as a way for companies to build customer relationships and provide information more effectively. Its central proposition is that messages should match the recipient's situation rather than arrive as identical promotions for every contact. Personalisation might mean a useful offer, an order update or a response to a recurring question, provided the information is correct and the business is authorised to use the necessary data.

It is important to distinguish Viber chatbots from other Viber Business Messages solutions. A bot interacting with its subscribers and a business messaging service contacting an opted-in customer base are not necessarily the same product, approval workflow or charging model. Rakuten Viber currently describes distinct solutions and conditions; suitability depends on the intended use and actual service agreement.

The first decision should therefore not be selecting the most elaborate automation. A business should determine what customers want to receive, how they subscribe, what level of assistance they expect and how they can change those preferences.

Why relevance matters more than message volume

A message is personalised when it is useful in a particular situation. A reminder about an expected renewal may help an interested customer, while repeated promotional notices that are not relevant can weaken the relationship. Possessing a person's contact details does not by itself establish permission for every possible marketing campaign.

The October 2026 editorial recommendation is to distinguish operational updates from promotional content and verify the legal grounds and applicable channel rules for each kind of communication. In European regulatory contexts, data processing and direct marketing carry particular requirements; the rules applicable to a specific company and market need appropriate review.

Recipients should be able to understand what they have agreed to receive, the purpose of the communication and how to withdraw or change their preferences. That is a more durable foundation for personalisation than sophisticated targeting that disregards people's choices.

1. Direct and personalised communication

The first historical area is direct communication with customers. Positive's source text includes tailored offers based on previous purchases, information about new products or promotions and reminders about unpaid invoices or expiring subscriptions. These examples serve different purposes, and none is appropriate for every customer automatically.

A buyer waiting for a delivery may find a timely order-status update more useful than a general advertisement. A customer approaching the end of an agreed service may appreciate a renewal reminder, provided the record is accurate and the message is expected and permitted. An illustrative 2026 scenario is to let users choose the notifications they want instead of receiving every promotional campaign.

The original presents customer satisfaction, conversion and loyalty as potential benefits. These are possible objectives, not guaranteed consequences of launching a bot. Their achievement must be measured independently from the number of messages the system sends.

Segmentation, relevant offers and customer choice

Segmentation is useful when different people want different services or information. It should not depend entirely on assumptions that users have no way to correct. A straightforward starting point is an explicitly selected interest or chosen type of notification. Using deeper purchase histories requires more careful review of purpose, access controls and a lawful basis.

A 2026 editorial example is to ask subscribers whether they want service notifications, promotional information or only responses to their own questions. This can support relevant communication without collecting unnecessary details about behaviour. Users should be able to change those preferences without an unnecessarily difficult process.

A helpful conversational experience also leaves room for follow-up questions and contact with a person. When a message sounds individually tailored but leads to an expired offer or incorrect advice, automation may have the opposite effect from what the company intended.

2. Customer support automation

The second historical area is automation of frequently asked questions. The original specifically mentions store opening hours and locations, order tracking and assistance with basic technical issues. These types of queries often have clearly structured answers and may therefore make suitable first use cases for a chatbot.

Reliability depends on the information source. Opening hours should come from an up-to-date record. Order status should be retrieved from an authorised system only after appropriate identity checks. A bot must not invent tracking numbers or disclose another customer's details. When it cannot answer reliably, it should communicate that limitation and offer a route to a responsible team member.

The original identifies reduced support workload, faster responses and around-the-clock availability as potential benefits. An automated conversation can respond at any hour, but this is not the same as having a human agent continuously available or guaranteeing immediate resolution of complex cases.

The limits of automation and escalation to an agent

Good customer support includes a clear boundary around what a bot is able to handle. Finding a store address may be straightforward. A disputed payment, unusual complaint or request involving personal account details may require additional checks and human judgement. The transition should be understandable, and unresolved cases should remain traceable.

An editorial pilot suggestion is to begin with a small set of approved topics, a clear response for uncertain situations and an accessible way to contact the responsible team. Staff should review unanswered requests and correct outdated information. If generative AI produces free-form answers, additional checks are needed to reduce persuasive but inaccurate responses.

Success should not be defined purely as fewer conversations with employees. Useful measures include resolution quality, repeated enquiries, time to a meaningful outcome and satisfaction after a real problem has been addressed.

3. Effective marketing campaigns

The third historical area covers promotional campaigns. Positive's original article mentions exclusive offers and coupons, interactive quizzes or surveys, and invitations to subscribe to announcements about new services or products. Such campaigns may build engagement when they are relevant, transparent and consistent with the channel's rules.

Before launching a campaign, the business should establish its purpose and audience, confirm permission to contact them, and review the offer's terms and the unsubscribe route. An existing contact database should not automatically be treated as a list of subscribers to a Viber chatbot. Under Rakuten Viber's current model, chatbot outreach relates to chatbot subscribers, whereas business messaging is offered through a distinct service with its own conditions.

The 2026 editorial advice is to begin with a limited campaign and see whether recipients find it useful. A large message volume with weak relevance may generate unsubscribes and damage customer trust rather than deliver lasting business value.

Coupons, surveys and campaigns with a measurable purpose

Coupons may encourage a purchase, but the offer must explain the redemption period and relevant conditions. An interactive survey may provide useful feedback, yet answering a survey does not automatically grant permission for all future marketing. A quiz can be engaging, but its commercial value depends on a clear purpose and transparent participation rules.

The original lists campaign visibility, performance tracking and marketing cost optimisation as potential benefits. These should be evaluated through specific measures: how many eligible people participate, which intended actions follow and how often recipients opt out. A delivered message is not the same as a completed purchase.

For example, a smaller campaign addressed to subscribers who expressed a relevant interest might be more appropriate than a large campaign sent to an unsuitable audience. That is an editorial planning principle, not a claim about measured results from Positive customers.

4. Analytics and performance monitoring

The fourth original area involves measuring communication performance. Positive's historical article names message open rates, clicks on links and customer feedback as examples of data that can be followed. These signals may help teams understand which content people engage with and where their questions remain unanswered.

Every metric has limitations. An opened message does not prove a customer read its content, and a click does not establish that a purchase occurred. The availability of specific analytics also depends on the current channel, configuration, integration and terms. The historical list is therefore best read as a set of analytical possibilities, not a verified feature list for every present-day package.

Analytics should be proportionate to a clear business purpose, with unnecessary personal data collection avoided. A small number of useful indicators is often better than a crowded dashboard that produces little practical change.

Interpreting opens, clicks and customer feedback

To compare two messages fairly, teams should consider the audience, campaign objective, timing and delivery conditions. Clicks can vary because of a different offer, different audience preferences or chance. One campaign rarely provides enough evidence to make broad conclusions about every customer's behaviour.

The 2026 editorial recommendation is to review qualitative feedback alongside numerical indicators. Which details do users say are missing? When do they ask to speak with someone? Which messages prompt complaints or opt-outs? These signals can be as important as engagement percentages when judging communication quality.

If website analytics is connected, the company should also confirm which actions can actually be measured and how privacy, consent and cookies are handled. Merely naming an analytics integration does not ensure complete visibility into individual customer behaviour.

5. Integration and adaptation to business systems

The fifth historical area describes connecting a Viber bot with other systems. The original names CRM platforms, analytics tools such as Google Analytics and e-commerce platforms. Such integrations may remove duplicated work, but they should not automatically be described as effortless, inexpensive or included in every product.

A CRM integration needs consistent identity and data-handling rules. Order tracking needs a dependable and authorised status source. Website analytics requires a clear measurement plan and appropriate privacy controls. Before promising an integration, a provider should verify the available API, channel approvals, partner requirements, authentication, prices and maintenance responsibilities.

The 2026 editorial context is particularly important because Viber Chatbots and Viber Business Messages are different offerings. How an account is approved, how messages are initiated and charged, and which integrations are allowed depend on the selected solution and current Rakuten Viber policies.

Privacy, consent and customer data protection

Responsible personalisation starts by asking why information is necessary rather than how much can be collected. A business should know what customer data it holds, who can access it, how long it is retained and how people can exercise their rights. Marketing communication also requires care with contact permissions, opt-out mechanisms and platform-specific restrictions.

An illustrative scenario is an order-status chatbot. Possessing an order number should not automatically authorise a person to see another customer's details. Additional authentication or another controlled verification step may be necessary. Information from CRM should not become available to everyone who starts a conversation.

Data protection and answer quality should be part of the initial solution design, not deferred until deployment. Where external service providers are involved, actual contractual responsibilities and technical access limits need to be reviewed before personal information is transferred.

Planning a small Viber chatbot pilot

A sensible first pilot uses a narrow set of questions, one appropriate channel and a small, approved knowledge base. Its objective might be to reduce repetitive handling, route requests more reliably or make basic service information easier to obtain. It should not promise simultaneous gains in revenue, productivity and customer loyalty before a baseline has been measured.

An editorial plan includes an accountable owner, starting metrics, test cases, escalation rules and periodic review. Testing must cover failure states, including unavailable systems and questions outside the supported scope. A conventional customer support route should remain available for cases the bot cannot resolve.

Pilot results can be examined through response correctness, successful resolution, handling time, user feedback and the workload created by maintaining the system. Only then should the business decide whether wider deployment is warranted.

A Viber bot as a strategic tool for customer relationships

The original Positive conclusion presents Viber bots as a combination of personalised messages, automated support, marketing, analytics and integration. Those five areas remain a valuable framework when a company evaluates how to communicate with customers. Their potential should nevertheless be distinguished from verified performance or an assured capability in a particular current product.

By October 2026, additional considerations include current platform policies, permitted data processing, responsible AI oversight, escalation to employees and realistic running costs. A bot is not a replacement for every support role, and continuous automated availability does not imply that every service can be completed at any hour.

For a particular company, the best starting point is a focused conversation about its common enquiries, customer expectations and existing systems. Positive's ecosystem can help assess digital and AI-enabled communication, while the actual Viber channel, integrations, features and terms depend on separate technical and commercial verification.

Related service: CyberCompany AI solutions.