A practical 30-day plan to build a complete Instagram DM lead machine — from your first keyword trigger to a fully automated pipeline that captures emails, filters repeat contacts, and pushes every lead into your CRM.
ManyChat is an automation tool that sends instant direct messages to people who comment on or interact with your Instagram posts. When someone comments a specific keyword on your reel, ManyChat automatically DMs them a link, collects their email, and tags them in your system — all without you lifting a finger. This playbook walks you through setting it up from scratch over 30 days, starting with a single keyword trigger and ending with a fully automated pipeline that feeds leads into your CRM.
Every ManyChat automation is built from the same four building blocks. This 30-day plan walks you through each layer in order — so by Day 30 you have the full stack running.
This week you’ll create your first working ManyChat flow: a keyword trigger that sends a DM with a link to your freebie. Simple, functional, and live on a real post by Day 7.
ManyChat offers several entry points. Start with a post comment trigger — it’s the most common and easiest to test.
Use a keyword that is clear and unlikely to be triggered accidentally. Avoid generic words people might comment naturally.
When someone comments the keyword, ManyChat can reply publicly under the post. This nudges them to check their DMs and builds social proof.
At its simplest, the DM sends one message with a button linking to your asset. This is your Day 1 goal — get something working.
Even in a basic flow, always tag people who click. Tags let you filter your ManyChat contacts later and follow up with the right people about the right topic.
Once your first flow is live and you’ve seen a few DMs land, you’re ready to start capturing email addresses inside the conversation.
Your basic flow works. Now upgrade it to capture email addresses inside the DM conversation — before they ever leave Instagram. No forms, no external browser drop-off.
Instead of sending a link immediately, ask a qualifying question first, then collect their email before delivering the asset.
When you add the email-collection step, you must click Data Collection (not a regular text reply). This tells ManyChat to save the response to a system field — otherwise it’s just a chat message that goes nowhere.
Email is the starting point, but ManyChat can collect far more — all inside the chat, with no redirect.
| Field | Type | Use Case |
|---|---|---|
| System field | Newsletter, drip sequences, freebie delivery | |
| Phone number | System field | SMS campaigns, booking confirmations |
| First / last name | System field | Personalised follow-up |
| Custom fields | User-defined | Budget, team size, biggest challenge — anything relevant to your qualifying questions |
If someone doesn’t reply with their email, wait 1 hour and ask again. If they still don’t respond, let it go — don’t keep pestering.
If your email platform integrates natively with ManyChat (Kit / ConvertKit does), add a tag action that mirrors the tag in your email system. Now both systems know who this person is and what they wanted.
With email collection working, the next step is making sure returning contacts aren’t asked for their email again — and rolling the pattern across more of your content.
You’ve got a flow that captures emails. Now add a condition block so you never ask the same person twice — then duplicate the pattern across all your content.
Without filtering, someone who triggers 3 of your automations gets asked for their email 3 times. By the fourth, they’re annoyed and wondering why you can’t remember them.
Insert a condition block that checks whether the email field is already populated. If it is, skip straight to delivering the link. If it’s empty, run the collection flow.
Now that you have a solid template (trigger → condition → collect-or-skip → deliver), it’s time to attach it to more content. Each post or reel gets its own keyword and tag.
Your flows are filtering contacts and running across multiple posts. The final piece is connecting everything to your CRM so no lead falls through the cracks.
ManyChat captures the data. Your email system gets the tags. Now your CRM needs the full picture — name, email, phone, tag, and a direct link back to the ManyChat conversation. An automation tool bridges the gap.
Without a CRM, your leads live in three disconnected places: ManyChat, your email platform, and your memory. When a lead goes cold, nobody follows up. A CRM gives you a single view of every lead, their status, and a link back to the original conversation.
Trigger a webhook from your ManyChat flow. Your automation tool waits a couple of minutes (to ensure all data fields are collected), pulls the contact data, and pushes it into your CRM. This playbook uses Make in the examples, but Zapier and n8n work the same way — the logic is identical.
| Field | Source | CRM Action |
|---|---|---|
| First name | ManyChat system field | Contact name |
| Last name | ManyChat system field | Contact name |
| Collected in-chat | Contact email | |
| Phone | Collected in-chat (optional) | Contact phone |
| Tags | ManyChat tags | Lead source / interest label |
| ManyChat link | Conversation URL | Linked in CRM record |
With the full pipeline in place, spend the last few days of the month reviewing what’s working and tightening up the system.
Day 30 isn’t the finish line. You have a working system that captures leads, collects emails, and pushes contacts into your CRM. Now you scale it.
| Idea | What it does |
|---|---|
| Collect phone numbers | Add SMS data collection to high-value flows for SMS marketing |
| Custom fields for segmentation | Ask qualifying questions (budget, goals, timeline) to score leads in your CRM |
| Story-based triggers | Attach automations to Instagram stories for time-sensitive offers |
| Live comment triggers | Run ManyChat during IG Lives to capture high-intent viewers in real time |
| Automated nurture sequences | Use tags to trigger targeted email drip sequences per topic |