Every Campaign Learns. Every Push Performs.
You’ve Used WhatsApp Marketing Before.
But Never Like This.
MsgReach turns your campaign into a smart, learning system that delivers replies — not just reports.
Our AI quietly steps in.
It reads your campaign.
It studies your audience — behavior, region, price, activity.
Then it starts matching patterns across a database of 50+ crore verified WhatsApp users using advanced behavioral WhatsApp targeting and machine learning campaign delivery models.
From this massive network, it finds lookalikes — people who act like your customers.
But we don’t stop there.
Passionate – Dedicated – Professional
It builds new versions of your campaign.
The AI automatically changes:
It then sends those versions to micro-groups —
50 users at 11:00am, 80 users at 5:30pm, 60 users at 9:45pm — using intelligent message routing.
Each batch is optimized to convert — not just reach — thanks to our AI-based WhatsApp outreach engine.
And here’s what you see:
What Just Happened?
You didn’t run a blast.
You ran a living, learning campaign using our AI smart reach platform.
And all you did… was upload your numbers.
No Spam – No Bans – Just Result
This Is MsgReach.
We’ve built India’s most advanced AI WhatsApp Marketing Platform — designed to make every campaign smarter than the last.
Here’s What You Actually Get:
What Happens When Smart WhatsApp Works
Client Type: Builder/Developer
Goal: Drive interest for a new 2BHK launch in Bandra
Budget: ₹30,000
Push Volume: 1 lakh numbers (in 10K batches) over 3 weeks
Strategy Used:
-
-
-
Client provided a 10K list of previous leads
-
-
-
MsgReach AI analyzed that list, matched it with active users in Mumbai suburbs
-
500+ lookalike users added in each batch
-
Different images and CTA buttons were created for: couples, families, and investors
-
Smart timing used: morning for working professionals, late evening for NRI buyers
Results:
-
✅ 71 direct replies in 3 weeks
-
✅ 22 booked site visits
-
✅ 6 confirmed bookings
-
✅ Undelivered messages refunded automatically
Client Type: Women’s fashion D2C brand
Goal: Recover abandoned carts + promote new arrivals
Budget: ₹45,000
Push Volume: 1.5 lakh messages over 30 days
Strategy Used:
-
Client provided cart abandoners and interest-based list
-
AI matched these traits with women 22–40 from our verified database across India
-
Created 3 content variants:
-
20% off with timer image
-
Style-based CTA (e.g., “Your Look is Waiting”)
-
Morning & lunch-time sends only
-
Results:
-
✅ 133 replies with queries or link clicks
-
✅ 91 orders placed
-
✅ 6.1x return on campaign spend
-
✅ Real-time bounce tracking and auto credit back on failures
Client Type: B2B electrical product manufacturer
Goal: Generate dealer/distributor inquiries from Tier 2 & Tier 3 cities
Budget: ₹22,000
Push Volume: 75,000 messages over 15 days
Strategy Used:
-
Client provided dealer zones for focus
-
AI pulled additional data from local trade markets and matched with similar business profiles
-
Dynamic content showed state-specific pricing and contact numbers
-
Sent in batches of 100–200 depending on area type
Results:
-
✅ 48 distributor inquiries (mostly Tier 2 cities)
-
✅ 17 qualified sales calls booked
-
✅ 3 regional distributors onboarded within 20 days
-
✅ Campaign extended by client for next 3 product launches
FAQ’s
Passionate – Dedicated – Professional
Built to Scale. Trusted by Hundreds.
We don’t talk big — we deliver big. Here’s what MSGREACH handles every day for businesses, political teams, and resellers.
The support team was always available and truly understands business needs. Highly recommended for any company serious about Marketing Reach or Promotion!
Ankit Mishra – CMO – RCoinX
Fast – Friendly – Reliable
Grow Fast, Spend Less – That’s Our Promise
You don’t need big budgets or tech teams. Just tell us what to send — we’ll handle the rest.
Call us for inquiry : 11 am – 6:30 pm
7039541224
Passionate – Dedicated – Professional
Latest Tips & Messaging Insights
Stay informed with expert updates, campaign advice, and smart messaging strategies from the MSGREACH team.
