Proactive chatbot triggers: setup, examples and analytics
Start helpful conversations from real visitor behavior with built-in anti-annoyance controls.
Proactive chatbot triggers work when one useful message appears at the right moment, respects dismissals and can be measured without spamming visitors.
Proactive triggers let the chatbot approach a visitor after a meaningful signal instead of waiting for the visitor to open chat. A good trigger is specific, delayed and easy to dismiss; an aggressive trigger damages trust.
This guide follows one complete beginner-friendly example from the Triggers editor to a real visitor reply, a source-backed NORDSTERN-42 answer and the performance table. You will also learn when Time on Page, Scroll Depth, Exit Intent, URL Match and frustration signals make sense—and why a signal is never proof of intent.
WebChatAgent combines behavioral conditions with URL filters, schedules, priorities and global frequency limits. Start with one scenario, write down the expected visitor outcome and measure replies and dismissals before adding another rule.
Privacy-protected two-click player
Proactive Chatbot Triggers: 9 Helpful Setup Examples
Set up proactive chatbot triggers for time, scroll, exit and page intent, add frequency limits, test the message and measure responses and dismissals.
The YouTube player stays blocked until you choose Play. Loading it connects your browser to YouTube and may transfer technical data to Google.
Open directly on YouTubeWhat you will have at the end
- One verified five-second trigger
- A clear choice between timing, page and frustration signals
- Visitor-friendly cooldown and frequency limits
- A measured trigger-to-grounded-answer conversation
- A repeatable launch and optimization checklist
Before you start
- Standard plan or higher
- One assistant with a useful answer, form or connector outcome
- A page and visitor behavior to target
- A private browser window with English locale for testing
- Permission to create fictional test conversations and analytics events
Signal first, message second
Time and scroll signals suggest engagement; URL Match and Section Visibility add page context; exit intent, inactivity and rage clicks can suggest hesitation or frustration. None of them proves what the visitor wants. Pair the signal with a page-specific invitation that promises one useful next step.
Eligibility rules decide whether a trigger may fire. Priority decides which eligible rule wins when several rules match. Each trigger fires only once per session, while global session/day caps, cooldown and permanent dismiss add further protection across rules.
A proactive message is successful only when the visitor can complete the promised outcome. Test the invitation, first reply, answer or handoff and analytics as one connected flow.
01–06
Set it up step by step
Open Automatic engagement and enable proactive triggers
Start from the complete current light-mode channel editor.
Open the intended chatbot → Channels → Chat widget → Automatic engagement and enable proactive triggers. WebChatAgent supports Time on Page, Exit Intent, Scroll Depth, Inactivity, URL Match, Section Visibility, Returning Visitor, Pages Visited and Rage Click.
Use only a signal you can connect to a real visitor need. The verified example targets a visitor who has stayed long enough to benefit from help finding the verification code in the indexed tutorial PDF.
Configure the five-second Time on Page example
Pair a reproducible delay with one specific invitation.
Select Time on Page and Add trigger. Keep Static message for the first test, set Delay to 5 seconds and write “Need help? I can find the verification code in the tutorial PDF.” The short delay is used only for reproducible tutorial QA; production pages normally need a longer evidence-based delay.
Priority 10 is sufficient with one trigger. When several rules can match, lower priority numbers should represent the more specific or valuable scenario. URL rules, schedules and required-trigger combinations belong on the individual rule when the audience must be narrower.
Set cooldown and global protections
Prevent repeated interruptions before publishing.
For the verified test, use a maximum of one trigger per session, two per day, a five-second per-session cooldown, Respect permanent dismiss and Show as speech bubble. Bubble auto-hide 0 keeps the invitation visible until the visitor acts or closes it.
Production values should be more conservative when multiple pages and triggers share the same chatbot. Mention localStorage-based visit counting and cooldown state in the privacy information that applies to the widget.
Verify the live message in a clean session
Wait for the complete trigger sequence, not just its delay field.
Open a fresh visitor session with the widget closed. If a normal welcome bubble is configured, WebChatAgent waits for the global cooldown before starting the trigger timer; a five-second cooldown plus a five-second Time on Page rule can therefore take about ten seconds.
Confirm that the message appears once, can be dismissed and does not cover important page controls. Select the message to open the chat and keep its proactive context in the conversation history.
Auto Translate can localize the configured English invitation to the visitor browser language. The verified screenshot therefore shows the German visitor rendering while the WebChatAgent interface remains English; disable Auto Translate or explicitly force English when you need an English-only visitor test.
Continue to a real resolved conversation
The invitation must lead to useful help, not a dead end.
Reply “Yes. What is the verification code in the tutorial PDF?” The real assistant searches the indexed source and returns NORDSTERN-42. This proves the trigger, chat input, retrieval and grounded final answer as one live flow.
Use an outcome that fits the page: product comparison on pricing, troubleshooting after rage clicks, or a callback form outside staffed hours. A proactive message that cannot resolve or route the stated need should not be published.
Review fired, response and dismiss rates
Use the built-in result table to improve one variable at a time.
Select Show trigger performance. The verified run records a real trigger firing and the visitor response from the grounded NORDSTERN-42 flow. Small tutorial samples are proof of instrumentation, not evidence of business performance.
After enough sessions, compare fired, response and dismiss rates by trigger. Change either timing, audience or message, keep the other two fixed and record the result before expanding to more trigger types.
Example & result
See the practical test and its result
Every tutorial includes a fixed input, the expected outcome and a transparent record of what was actually verified locally.
Practical example: How to set up proactive chatbot triggers
This exact scenario was completed with the temporary tutorial account.
Exact test input
Wait for the five-second trigger, open its message and reply: “Yes. Look up demo customer 1 with Sincere@april.biz.”
Expected result
The bubble appears once, opens the chat, resolves the API lookup and records a fired and answered event.
What was actually verified
The real visitor flow returned Leanne Graham, Romaguera-Crona and hildegard.org. Trigger Performance recorded 2 firings, a 50% response rate and 0% dismissed.
Tips & tricks
Make the setup reliable
Test with realistic examples, record your baseline and change one setting at a time. That makes real improvements visible.
Combine signals for intent
A visitor who spent 45 seconds and scrolled 70% is more qualified than someone who merely loaded the page.
Treat dismiss rate as feedback
A high dismiss rate usually means the trigger is early, broad or irrelevant—not that visitors dislike chat in general.
Use static messages before AI-generated ones
A fixed invitation makes timing and audience measurable. Use AI-generated context only when it adds relevance, and evaluate latency, cost and unsafe wording with the same fixed pages.
When something does not work
Troubleshooting
Check status, permissions and test data systematically before changing the model or prompt.
The trigger never appears
Use a fresh private session, keep the widget closed, verify that proactive triggers and the individual rule are enabled, then wait for the global cooldown plus the trigger delay. Check URL, schedule, required-rule combinations, daily caps and a stored permanent dismiss before changing the message.
The invitation appears too often
Reduce the session and daily caps, increase the cooldown and keep permanent dismiss enabled. If several rules target the same page, narrow them with URL or behavior conditions and review their priorities.
The visitor message is translated unexpectedly
Auto Translate can localize a static English trigger using the visitor browser language. Disable Auto Translate or force an English visitor locale for an English-only QA run, then repeat the test in a new session.
Response rate is low or dismiss rate is high
Treat this as evidence about relevance, not as a reason to increase frequency. Test one change at a time: a later signal, a narrower page audience or a more specific promise. Compare the same length of time and enough sessions before deciding.
Ready for a production-style test
Run the trigger for enough sessions to compare response and dismiss rates, then refine only the timing, audience or message—not all three at once.