Behavioural segmentation in chatbots is the process of grouping contacts based on how they interact with a business to send them more relevant automated messages.
What is Behavioural Segmentation in Chatbots?
Behavioural segmentation in chatbots is a type of contact grouping methodology that divides a customer or prospect database into segments based on observed actions rather than static profile attributes. Instead of grouping contacts by who they are, behavioural segmentation groups them by what they have done.
Relevant behavioural signals include: which pages a contact has visited, whether they have opened a previous WhatsApp message, what products they have browsed or purchased, whether they have completed a chatbot flow or dropped off midway, and how recently they have interacted with the business.
These signals allow the chatbot to send different messages to different groups. A contact who browsed a product but did not buy receives a different message from one who already purchased and is being re-engaged. The conversation is shaped by what the contact has done, not just who they are.
BotPenguin is a no-code chatbot platform that uses behavioural attributes stored in its contact profiles to trigger segmented automated conversations across WhatsApp, website, and Instagram without manual list management.
How BotPenguin Uses This
BotPenguin allows businesses to create contact segments based on behavioural attributes and trigger different chatbot flows or broadcast sequences for each segment. Chatbot campaigns sent to behaviourally segmented contact lists on BotPenguin achieve a 55% higher conversion rate than the same message sent to an unsegmented broadcast list.
Segments update automatically as contacts take new actions. Agency partners manage behavioural segmentation across multiple client contact bases from one white labelled platform.
Frequently Asked Questions (FAQs)
What's the difference between behavioral and demographic segmentation?
Demographic: who they are (location, age, company size). Behavioral: what they do (pages visited, purchases, opens). Behavioral is more predictive of future action.
What behavioral signals should I track?
Page visits, message opens, product browsing, purchases, flow completion/drop-off, time since last interaction, search queries.
Do segments update automatically or manually?
Automatically. As a contact takes new actions, they move to new segments in real-time. Manual list management is unnecessary.
How much does behavioral segmentation improve results?
55% higher conversion rate compared to unsegmented broadcasts. One of the highest-ROI personalization tactics.
Can I segment by actions from outside the chatbot platform?
Yes, if your platform integrates with CRM or website analytics. Import browsing data, purchase history, or email opens to build richer segments.
How many segments should I create?
Start with 3-5 core segments (new visitors, engaged contacts, dormant, purchasers). Too many segments dilute messaging and become unmaintainable.
What if a contact meets criteria for multiple segments?
Assign them to the most recent or most valuable segment. Or route to a combined segment if the platform supports overlapping groups.
How do I prevent segments from becoming outdated?
Review segment criteria monthly. A "dormant" contact might be active again. A "purchaser" might be ready for upsell. Update as behavior changes.
Related Terms
Segment your contacts and personalise conversations with BotPenguin
