Glossary

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Live Chat Fundamentals

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Proactive Chat

Proactive Chat

Proactive chat is a live-chat tactic where the business initiates a conversation with a website visitor automatically, based on behavior or context, instead of waiting for the visitor to open the chat first. The message is triggered by rules such as time on page, the URL being viewed, or whether the person is a returning visitor.

Updated June 25, 2026

Live Chat Fundamentals

TL;DR

Proactive chat reaches out to a visitor first with an automatic, rule-triggered message rather than waiting for them to click the chat bubble.

Key Points

It is the opposite of reactive chat: the business opens the [[conversation]] instead of waiting for the [[website-visitor]] to click the [[chat-launcher]] first. [1]

Messages fire from triggers tied to behavior or context, for example seconds spent on a pricing page, the page URL, or a returning visitor. [2][4]

Common goals are reducing cart abandonment, capturing leads, and answering pre-sale questions before the visitor leaves, which overlaps with [[conversational-marketing]] and [[lead-capture]]. [3]

Timing matters: fire too early and it reads as spam, too late and the visitor is gone. Most guidance suggests waiting until a visitor has explored the page, roughly 10 to 60 seconds, before prompting. [3][4]

It often pairs with a [[welcome-message]] and [[visitor-tracking]]/[[utm-parameters]] so the outreach is relevant rather than generic.

A genuinely automated, rule-targeted variant is a feature of larger platforms; a lightweight tool like Eloqra ships a configurable greeting that shows on chat open, not behavior-based targeting rules.

Proactive vs. reactive chat

In reactive Live Chat, the visitor must notice the Live Chat Widget and start the Conversation themselves; the operator only responds. Proactive chat flips this: the system sends the first Chat Message automatically when defined conditions are met, so a Support Operator or AI Agent can engage a Website Visitor who might never have asked for help. [1] Vendors describe it as delivering targeted messages without waiting for the customer to start the conversation. [4] The trade-off is intrusiveness, so well-run programs limit how often a visitor is prompted and suppress new prompts during an active chat. The aim is to feel like a timely offer of help, not a pop-up that interrupts browsing. [4]

How triggers and targeting work

Proactive chat runs on rules that watch visitor behavior and context. Typical conditions include time on a specific page, the current URL (a pricing or checkout page), referral source, or whether someone is a returning visitor whose previous visits is greater than zero. [2] When a rule matches, the widget displays a message; platforms often bypass the Pre-Chat Form in this flow so the visitor can reply immediately. [2] Targeting usually draws on Visitor Tracking, UTM Parameters, and IP Geolocation to decide who sees what. Because these rules require behavioral data and a rules engine, proactive chat is more involved than a static greeting, and frequency caps are essential so the same person is not hit with prompts on every page. [2]

Use cases and benefits

The most common uses are sales and conversion oriented: rescuing a stalled checkout, answering questions on a pricing page, or welcoming a returning visitor. [3] Stream reports that buyers who chat with a representative spend about 60% more on average than those who do not, and that chat users convert at notably higher rates. [1] Beyond sales, proactive chat supports onboarding nudges and self-service prompts, overlapping with Conversational Marketing, Lead Capture, and broader Customer Engagement goals. [4] The strongest results come from relevance and restraint: target high-intent pages, personalize the message, and respond quickly or set clear expectations, since an unanswered proactive prompt erodes trust faster than no prompt at all. [3]

Sources & References

1
Proactive Chat 101 - Best Practices, Benefits, Use Cases (Stream)

Last updated: June 25, 2026

Related Terms

Live Chat

Live chat is a real-time, text-based support channel embedded in a website or app that lets visitors message a business and get answers within the same browsing session, without phoning or emailing. It pairs a customer-facing chat window with an agent or bot interface on the other side.

Welcome Message

A welcome message is the pre-written greeting a live-chat widget shows when a visitor opens it, used to set a friendly tone and prompt the first reply. In Eloqra it is a configurable line of text rendered inside the chat panel before any operator is involved.

Conversational Marketing

Conversational marketing is a customer-centric approach that uses real-time, personalized dialogue, typically through live chat, chatbots, and messaging, to engage and qualify website visitors instead of relying on static forms and delayed follow-up. It treats chat as a revenue tool for sales and marketing rather than a pure support utility.

Lead Capture

Lead capture is the process of collecting a prospect's contact details (typically name, email, or phone) at the moment they show interest, so a business can follow up and move them through the sales funnel. On a website it happens through forms, pop-ups, chatbots, and live-chat conversations.

Customer Engagement

Customer engagement is the ongoing, two-way interaction between a business and its customers across communication channels, measuring how invested people are in a brand rather than treating each touchpoint as a one-off transaction.

Visitor Tracking

Visitor tracking is the practice of collecting context about the people browsing a website, such as the pages they view, their device and browser, where they came from, and an approximate location. In Eloqra this context is captured on a visitor's first chat message and shown to the operator answering in Telegram.

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