WhatsApp chatbot for lead generation: capture, qualify and tag leads in your CRM

Why use a WhatsApp chatbot for lead generation

A WhatsApp chatbot for lead generation replaces the form-then-callback routine with a conversation the lead starts on their own phone. Instead of a website form that sales calls back two days later, the person taps an ad or scans a QR code, answers three questions with taps, and a salesperson sees a graded lead with the answers already filled in. This guide sets that up end to end: entry points, qualification, CRM tagging, routing and follow-up.

It suits businesses whose sale needs a conversation: property, education, loans and insurance, vehicles, interiors, B2B supplies and high-ticket services. If the use case is narrower, for example only grading ad leads before a call, the lead qualification use case is a shorter read.

Step 1: map your lead sources to entry points

You cannot improve what you cannot attribute. Give each source a distinct way into the chat:

Make the links and QR codes with the free WhatsApp link generator and QR code generator. Click-to-WhatsApp ads have a cost advantage: when a person messages you from one and you reply within 24 hours, Meta's free entry point window opens and messages are free for up to 7 days, which covers qualification and the first follow-ups.

Step 2: create fields, tags and a pipeline field

Before building, decide where each piece of information lives:

• Super Fields (in CRM → Super Field) for answers: requirement, budget, timeline, city. Pick Dropdown types where answers come from buttons, so values stay consistent.
• A pipeline field: a Dropdown Super Field lead_stage with options New, Contacted, Meeting booked, Won, Lost, and Enable Board View switched on. CRM → Boards then shows a Kanban board with one column per stage; salespeople drag cards as deals move.
• Tags (in CRM → Tags) for facts you will filter on: the source (src-ctwa, src-web, src-qr, src-expo) and the grade (lead-hot, lead-warm, lead-cold).

Keep tag names short and lowercase. Tags are what campaign audiences and segments filter on, so a consistent scheme now saves a messy clean-up later.

Step 3: build the entry triggers

In Chatbots → Chatbots, click Create Botflow and rename the bot "Leads: ads". Set the trigger to Click to WhatsApp Ads. Leave Meta Ad ID empty to handle every ad, or add specific ad IDs if different projects need different questions. The ad's headline arrives as {{ad_headline}}, which you can use in the welcome: Thanks for your interest in {{ad_headline}}. Three quick questions so we send you the right details.

As the first step after the trigger, add Add Automation App → CRM → Assign Tags to Contact (Creates Tag if Tag not exist) with the tag src-ctwa. Then Clone the bot from the chatbot list, rename the copy "Leads: web and QR", change its trigger to Match Keyword with OR conditions for (web), (qr) and (expo), and replace the first tag step with one branch per source if you want them tagged separately (one bot per source is simpler).

Step 4: ask the qualifying questions

Ask only what changes what sales does next. For an interiors studio, Arjun Interiors in Bengaluru, that is:

1. Requirement, Buttons: Full home / Kitchen and wardrobes / Single room. Saved to requirement.
2. Budget, List: Under ₹3 lakh, ₹3-6 lakh, ₹6-10 lakh, ₹10-20 lakh, Above ₹20 lakh. Saved to budget.
3. Timeline, Buttons: This month / In 1-3 months / Just exploring. Saved to timeline.
4. Name and area: an AI Data Collector step with two fields, name and locality, which also understands "I'm Kavya from HSR Layout" in one message. Or two Ask Question text steps with validation, if you prefer no AI.

Each Ask Question has No Input and No Match outputs. Connect No Match to a gentle nudge ("Please tap one of the options") and back with Goto; connect No Input to nothing, so the bot ends quietly if the lead goes silent.

Step 5: grade by branch and tag the lead

There is no need for a scoring formula. The timeline buttons already separate buyers from browsers, and each button has its own output:

On each branch add the CRM tag step, then Save Variable Value with Select Field set to the CRM Super Field lead_stage and the value New. Budget is saved too, so later you can treat "This month, under ₹3 lakh" differently from "This month, above ₹10 lakh" in a segment, without making the bot more complex.

Step 6: route hot leads to sales

Speed matters more than any other step. On the hot branch:

1. Working Hours with your sales hours in Asia/Kolkata.
2. In hours: Assign to Agent → Send to Department (Sales), which gives the chat to the active member with the fewest open chats, or Assign Agent to a named person. Then a message: Thanks {{name}}. Rohan from our design team will message you here in the next few minutes.
3. Out of hours: an honest message with the next opening time, and still assign the chat so it is first in the morning queue.
4. For ad leads, add Send Conversion Event after assignment so Meta learns which chats became qualified leads.
5. End with Stay in Session, so no other bot interrupts the salesperson for the rest of the session.

Warm leads get the portfolio as a Send Message → Document and a button to request a call; cold leads get a useful price guide and the line "Type QUOTE any time to start again". If your sales team lives in spreadsheets, add Add Automation App → Google Sheet → Add New Row (V2) on the hot branch; the Google Sheets integration explains the mapping.

Step 7: follow up with segments and templates

Leads that did not convert in the first chat need follow-up after the 24-hour window, and that means approved templates sent only to people who agreed to hear from you.

1. In CRM → Segment, click Create Segment and combine conditions, for example Tag has lead-warm AND timeline is In 1-3 months AND Contact Created Date in the last 30 days. Segments update themselves as contacts change.
2. Get two templates approved: a utility one tied to their request ("Hi {{1}}, here is the quote you asked for…") and a marketing one for later nudges ("New modular kitchen designs this month…"). The lead follow-up templates give approved-style wording.
3. In CRM → Bulk Campaign, create a campaign with the Segmented audience. Segmented audiences include only contacts marked as subscribed, so a lead who asked to stop is left out.
4. Ask salespeople to move cards on the CRM → Boards board after every call, so the pipeline and your segments stay true.

Measure what the bot is doing

Use segment counts and the board, not gut feel: how many contacts carry each source tag, what share of each source ends up lead-hot, how many hot leads reach Meeting booked, and where people abandon the questions. If a source produces many cold leads, fix the ad or the prefilled text, not the bot. For the platform basics see what the WhatsApp Business API is, and to build the bot itself step by step, follow the no-code chatbot guide. Agencies that run lead campaigns for clients can package this whole set-up under their own brand with the white-label platform.