Personalized Bot Mode - Real User Data in Every Chatbot Answer

QueryWing Personalized Bot Mode connects your backend API to your chatbot so it can answer personal questions with real user data instead of generic responses. When a visitor asks about their account balance, order status, workout schedule, or subscription details, the chatbot fetches the answer from your API in real time.

The four-step flow works seamlessly: a user asks a personal question, QueryWing detects the intent and identifies the visitor, your API returns the relevant data, and the chatbot delivers a precise personalized answer. Built for SaaS platforms, fitness and health apps, e-commerce, and financial services.

Key Benefits

Transform generic chatbot responses into personalized, data-driven answers. Set up in three steps: build your API endpoint, configure the data connector in your dashboard, and add identity attributes to your embed code. Security-first design with encrypted credentials, HMAC signature verification, and zero data storage by QueryWing. Available on the Scale plan.

QueryWing • Feature

Personalized Bot Mode

Connect your backend API so your chatbot answers personal questions with real user data — not generic responses.

Beautiful UI
Real-time & secure
Easy to set up

Personalized Bot Mode

Scale Plan

Your chatbot already knows your product. Now make it know each user. Connect your API and turn generic responses into personalized answers powered by real customer data.

How it works

Step 1

User asks a personal question

A visitor asks something specific like "What's my account balance?" or "When is my next appointment?"

Step 2

QueryWing detects the intent

Our AI recognizes this requires personal data and identifies the visitor using their email or user ID from the embed code.

Step 3

Your API returns the data

QueryWing calls your backend API endpoint with the user identifier. Your API returns the relevant data (account info, orders, plans, etc.).

Step 4

Personalized answer delivered

The chatbot combines your data with its trained knowledge to give a precise, personalized response — no generic answers.

What makes this different

Without Data Connector

User: "What's my workout today?" → "I don't have access to your personal data."
User: "When is my next payment?" → "Please check your account settings."
User: "How many credits do I have?" → "I can only answer general questions."

With Data Connector

User: "What's my workout today?" → "Your chest & triceps session starts at 6 PM — 4 exercises, 45 min."
User: "When is my next payment?" → "Your Growth plan renews on May 15 for $99."
User: "How many credits do I have?" → "You have 3,247 credits remaining this month."

Built for every industry

SaaS Platforms

Show users their subscription status, usage stats, billing info, and feature access in real time.

Fitness & Health Apps

"What's my workout today?" — answer with actual data from your backend, not generic advice.

E-Commerce

Order status, delivery tracking, return eligibility — all answered instantly by the chatbot.

Financial Services

Account balances, payment schedules, transaction history — securely delivered through the chat.

Deep dive

Common use cases

  • Answer "What's my order status?" with real tracking data
  • Show personalized pricing, plans, and usage stats
  • Surface appointment schedules, billing dates, and account info
  • Deliver workout plans, meal plans, or study guides per user

Key metrics tracked

  • Response accuracy with real data vs. generic fallbacks
  • API latency and success rate monitoring
  • User satisfaction improvement after enabling personalization

Setup tips

  • Start with 3-5 key data fields your users ask about most
  • Use HMAC signatures for production security
  • Test your API endpoint with the built-in test tool before going live
  • Set clear fallback messages for when user data is unavailable

Setup in 3 steps

1
Build your API endpoint

Create a REST endpoint that accepts a user identifier (email or ID) and returns their data as JSON. QueryWing sends a POST request with the user info.

2
Configure in Dashboard

Go to Bot Settings → Data Connector. Enter your API URL, bearer token, and test the connection. Map which fields the chatbot should use.

3
Add identity to embed code

Add data-user-email to your widget embed code so the chatbot knows who's asking. Optionally add HMAC signature for security.

Security first

Your API credentials are encrypted at rest. HMAC signature verification ensures only legitimate requests reach your endpoint. User data is never stored by QueryWing — it's fetched in real time and used only for that conversation.

Ready to personalize your chatbot?

Available on the Scale plan. Set up in minutes, not days.