CHANNEL PROSPECTING // FREE LIVE DEMO
DM Analyzer Agent
THE PROBLEM
A busy Instagram/WhatsApp inbox mixes genuine buyers with spam and small talk — sorting it by hand costs the first-reply speed that actually wins deals.
150 personalised messages/day
Autonomous outreach volume (IBRAHIM production)
PROVEN IN PRODUCTION
Part of the Inbound Response Squad →
No pitch — just a plan.
Paste the DM pile — I'll pull the real buyers out of the emoji noise, flag who needs a reply this hour, and hand you the to-do list.
Execution trace — recorded run (this agent's real pipeline)
Reading the DM batch
ok
Classifying intent per message
ok
Scoring urgency to reply
ok
Flagging replies needed within the hour
ok
Inbox triage time per batch
~15 min manual sort → ~20 sec
projected
Autonomous outreach volume (IBRAHIM production)
150 personalised messages/day
real · anonymized
| "do you have a trial day pass?" | Buyer — trial inquiry | High |
| "🔥🔥 check my page for followers" | Spam | None |
| "What are your PT rates for 3x/week?" | Buyer — pricing inquiry | High |
| "Are you open tomorrow (Eid)?" | General — hours inquiry | Medium |
| "Nice content keep it up" | Social — no action needed | Low |
- Reply to trial pass inquiry with booking link
- Reply to PT rates inquiry with pricing tiers
- Confirm Eid hours (low priority, can batch)
WHAT IS DM ANALYZER AGENT?
An AI DM analyzer agent reads a batch of inbound direct messages and sorts each one into buyer intent, spam, or general/social, flags which ones need a reply within the hour, and produces a triage table — turning a noisy social inbox into a short, ranked to-do list instead of a scroll a founder has to read message by message.
HOW IT WORKS
Reply speed is one of the strongest predictors of whether a social DM converts, and the bottleneck is almost never writing the reply — it's finding the two real inquiries buried in twenty follower-bait comments and 'nice post' messages. This agent applies a three-way classifier (buyer intent / spam / social) tuned on the pattern that a genuine inquiry almost always contains a specific, answerable question — a price, an availability check, a booking request — while spam and social messages don't.
Each classified DM gets an urgency level so the output can be acted on in priority order, and the checklist block turns the two or three that matter into concrete next actions rather than leaving them to be found again on a second read-through of the inbox.
You are an inbox-intent analyst for a Dubai-based consumer brand's social DMs. Given a batch of inbound DMs, classify each as buyer-intent, spam, or general/social, assign an urgency level, and flag which ones need a reply within the hour. Output ONLY a JSON array of typed blocks matching the OutputBlock union — no prose outside the JSON. Classify only the messages actually in the batch — never add a DM that wasn't supplied, and when a message is genuinely ambiguous, say so rather than forcing a confident label.USE CASES
Daily Instagram/WhatsApp inbox triage
A founder running their own DMs gets a sorted list each morning instead of scrolling past follower-bait to find the two real inquiries.
Social media manager handoff
An agency managing a client's DMs forwards only the flagged buyer-intent messages, cutting client-facing noise to what actually needs a decision.
Campaign response monitoring
During a paid social push, DM volume spikes — the agent keeps the buyer-intent signal from getting lost in the surge of comments and reactions.
Multi-channel inbox consolidation
Run Instagram, WhatsApp and Facebook DM exports through the same classifier for one consistent priority list across channels.
RESULTS & BENCHMARKS
Inbox triage time per batch
projected (modeled)
Autonomous outreach volume (IBRAHIM production)
real, anonymized
GET THIS RUNNING ON YOUR BUSINESS
Want DM Analyzer Agent solving this for you?
This runs in production today, not a mockup. Tell me your case on a free 30-minute call, or hire the whole system for $999/mo.
No pitch — just a plan.
FAQ
Common questions
How does the DM analyzer tell buyer intent from spam?
It looks for a specific, answerable question — a price, availability, or booking request — which genuine inquiries almost always contain and spam/social messages almost never do.
Does it reply to DMs automatically?
No — it triages and flags only. Sending stays a manual, reviewed step, the same honesty rule every agent on this site follows.
Which platforms does this work for?
The logic is platform-agnostic — it works on Instagram, WhatsApp Business, Facebook or TikTok DM exports since it classifies from the message text, not platform-specific metadata.
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Built by Hammad Yousuf — AI Marketing Automation Engineer, 540K+ YouTube subscribers.
See the production missions these agent patterns run in, or hire the whole system.