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Grow your list, tag subscribers, and trigger sequences. Boei's agentic AI calls the Drip API on the fly and works across web chat, WhatsApp, email, and SMS.
Boei's agentic AI calls the Drip API directly during conversations. No marketplace, no glue code. The agent figures out the right call, runs it live, and replies in the chat.
When the agent collects an email and consent, it adds the contact to Drip with the right list and tags.
The agent listens for buying signals, role, or industry and tags the contact in Drip so your sequences stay relevant.
Asked for the trial guide? Onboarding sequence. Asked about pricing? Sales sequence. The agent fires the right Drip flow.
The agent honors unsubscribe and pause requests immediately, without making the customer hunt for a link.
Drip's strength is behavior-based ecommerce automation. It watches what shoppers do and reacts. But page views and clicks only tell part of the story. When a shopper asks your chatbot 'do you have this in blue?' or 'when will this be back in stock?', that's intent data you can't get from tracking pixels alone.
Boei captures these buying signals during AI-powered chat conversations and sends them to Drip via webhook. Each conversation creates subscriber events like 'asked_about_product', 'compared_prices', or 'needs_size_help'. Drip's visual workflow builder can then trigger the perfect follow-up sequence based on what the shopper actually said, not just what they clicked.
The result is ecommerce email automation that feels personal because it's built on what the customer told you, not what an algorithm guessed.
Real conversations become actionable ecommerce data
A store visitor asks about product details, sizing, availability, or shipping. The AI provides helpful answers and captures their email and preferences.
Boei sends a webhook with conversation data. Your automation tool creates a Drip subscriber with custom events and tags reflecting their shopping behavior.
Drip's visual workflows trigger based on those events. Someone who asked about a sold-out item gets notified when it's back. Someone comparing prices gets a discount offer.
Create Drip events from specific chat actions: 'requested_quote', 'asked_about_shipping', 'compared_products'. Each event can trigger a unique workflow.
A shopper who asks about return policies is in a different buying stage than one asking about bulk pricing. Drip workflows can respond to each differently.
Tag subscribers as 'high-intent' when the AI detects strong buying signals, like asking about payment options or delivery times. Prioritize them in your follow-ups.
Move subscribers through Drip's lifecycle stages based on conversation depth. A casual browser becomes a lead when they ask for pricing. A lead becomes an opportunity when they discuss specifics.
When someone chats about a specific product, send that product data to Drip. Follow-up emails can feature the exact items they discussed, not generic recommendations.
If a past customer returns and chats about new products, update their Drip profile. Your re-engagement campaigns reference what they're interested in now.
Turn every chat conversation into rich ecommerce events that power smarter Drip automations.