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Case Studies

MANYCHAT AUTOMATION THAT CAPTURED MORE LEADS AFTER-HOURS

This is what happens when your DMs stop depending on staff mood and start running like a system.
Service

Chatbots

Client

Miskerrh Botanicals

Date

March, 2026

THE PROBLEM

Miskerrh was getting steady DMs from Instagram and Facebook, but replies were slow—especially after-hours.

That meant:

  • lost leads
  • repeated questions wasting staff time
  • hot buyers cooling down before anyone replied

What was BROKEN:

  • No instant reply system (leads waited too long)
  • FAQs were answered manually over and over
  • No lead qualification (too many unserious chats)
  • No clear handoff rules (serious buyers got mixed with casual questions)
  • No escalation (complaints/high-intent leads were not prioritized)

What NEULEAD CHANGED

We didn’t just “set up a bot.” We built a trained sales assistant.

Knowledge base + tone setup
We turned product info, pricing, policies, and FAQs into a structured knowledge base written in the brand voice.

DM flows that actually convert
We built flows for:

  • first message + intent selection (buy / ask / complain)
  • FAQ replies (price, delivery, how to use, etc.)
  • lead capture + qualification (location, budget, need)
  • product recommendation prompts (based on needs)

Smart handoff + Telegram escalation

  • Serious buyers triggered a handoff to a human
  • Complaints and hot leads triggered Telegram alerts instantly
  • Staff could pick up the conversation with context (not confusion)

Simple tagging and tracking
We tagged leads by intent (hot/warm/cold) so the team could follow up properly.

RESULT

Within 3 weeks:

  • Average first response time dropped to under 2 minutes
  • Lead capture increased by 38% (more people completed the flow)
  • Missed hot leads reduced sharply due to escalation alerts
  • Staff time saved because FAQs were automated

WHY THIS WORKED

Speed wins. Structure closes.

When replies are instant, questions are handled automatically, and hot leads are escalated, conversion stops depending on who is online.

No vanity metrics • Tracking-first • Mobile-first • Built for revenue