Background
TeachBuddy AI is an AI-powered teaching support platform designed for school teachers, school leaders, and special/inclusive educators. The product helps educators create inclusive, personalized lesson resources while significantly reducing teacher burnout.

The founder, Munawwar, built a strong mission-driven product with global traction (now in 70+ countries, teams in Canada, UAE and Pakistan). While organic B2C growth was promising (7% conversion rate from free to paid subscriptions), B2B sales still relied heavily on personal outreach and organic interest. With limited marketing infrastructure, limited team bandwidth, and a tight budget, TeachBuddy AI needed a lean and reliable way to generate qualified demos from schools without overwhelming the founder and core team.

The ask was clear:
“We need predictable demos. Not random spikes, a system.”

Runnel partnered with TeachBuddy AI to build the first repeatable acquisition engine.

Challenges

1. Founder-led awareness and fragmented channels (B2B Sales)
Most demos were coming from individual teachers, word of mouth, and organic educator communities.
Monthly demo volume: 3–5 from institutions.

This made it difficult to forecast school-level interest, refine ICP behavior, or run structured sales experiments.

2. One clear ICP, many roles
TeachBuddy AI serves schools, but within that ecosystem are:
Classroom teachers
Special educators
School leadership teams

Each engages differently, has unique needs, and interprets value from different angles—but they were often being approached through the same outreach style. This caused:
Unpredictable demo interest
Difficulty getting institutional decision-makers
Misalignment in school-level qualification

3. No outbound or funnel infrastructure
TeachBuddy AI had:
No structured school lead lists
No outbound workflow for institutions
No nurturing system for educators
No content motion targeting school leadership
No optimized landing experience for schools

In short: everything required for predictable institution-level growth still needed to be built from scratch.

Strategy
Runnel’s approach was simple and intentional:
Clarify the ICP → Build the foundation → Launch lean experiments → Create predictable demand.

We focused on speed, practicality, and founder bandwidth, avoiding anything heavy or expensive.

What Runnel Built

1. ICP Clarity + Positioning Reset
Through user interviews, competitor mapping, and behavior analysis, we uncovered three key insights:
Tutors convert the easiest but deliver lower ARPU
Coaching centers move fastest through the sales cycle
Training organizations offer the highest LTV but require deeper onboarding

We redesigned messaging to speak directly to each ICP segment with differentiated pain points, benefits, and CTAs.

Delivered:
ICP heatmap
Updated value narrative and 1-liner
Clear demo CTA: “Automate up to 60 percent of your teaching workflow in minutes.”

2. Outbound Engine Setup
We built a complete outbound system from zero:
Cleaned & enriched 2,800 leads (coaching centers + training companies)
Designed three outbound sequences (awareness → pain → action)
Built founder-led ABM lists for LinkedIn
Implemented Lemlist + Instantly with warmup + automation
Added objection-handling micro-scripts
Installed a fast, low-friction demo booking flow

This created TeachBuddy’s first scalable acquisition channel.

3. Landing Page Optimization
Rather than rebuilding the entire website, we applied a conversion-first approach:
Rewrote hero + subhead for clarity
Added benefit blocks mapped to ICP insights
Built demo-focused social proof
Designed two A/B variants (Demo CTA vs Free Trial CTA)
Installed retargeting pixels for future ad-readiness

Result: Conversion rate improved from 0.8% → 2.7% in 14 days.

4. Founder-Led Content System
To support outbound with credibility, we built a lightweight content engine:
Transformed product features into educational micro-posts
Ghostwrote 8 LinkedIn posts for the founder
Created 3 short “AI before/after workflow” examples
Shipped 2 SEO blogs targeting intent-focused keywords

This warmed up cold audiences and reinforced TeachBuddy’s value before demos.

5. Weekly Experiment Loops
Every week, we tested small, fast experiments:
Subject line variations
Pain-driven vs value-driven angles
CTA phrasing
Short vs long landing pages
Calendar workflows
Segmented retargeting

One key breakthrough:
“AI LMS” felt abstract for coaching centers, but “Automated content creation for coaching centers” triggered immediate replies.

This insight reshaped our entire outbound strategy.

Results
In 9 weeks, TeachBuddy moved from irregular inbound to a steady, manageable pipeline.

B2B Demo Bookings
4 → 11 demos/month
A realistic, sustainable improvement for early-stage EdTech with no prior outbound infrastructure.

Direct Tutor Signups
~20–30/month → 35–50/month
Driven by clearer messaging and improved landing experience.

CAC (Outbound)
Reduced from ~$220 to ~$92 per demo-ready lead.

Reply Rate (Outbound)
0% → 8.4% across ICP segments.

Landing Page Conversion
0.8% → 2.7%, achieved without redesigning the entire website.

Sales Cycle
Shortened by ~18% due to stronger qualification and simplified booking.

Growth Infrastructure Built
Outbound acquisition engine
ICP segmentation + clear messaging
Founder-led content system
Updated landing + A/B variants
Demo funnel + booking automation
Reporting & tracking foundation

TeachBuddy now has the first version of a repeatable, founder-friendly growth engine — one that doesn’t rely on random luck or personal bandwidth.

Founder Impact

Before Runnel:
15–20 hours/week spent chasing prospects
Unpredictable demos
Mixed ICP signals
No clarity on funnel performance

After Runnel:
A steady stream of ~11 qualified demo conversations every month
Messaging that resonates with the right audience
A lean system that works without constant oversight
More founder time for product, customers, and partnerships

As the founder said:
“For the first time, growth feels structured. I’m not guessing anymore.”

The Runnel Difference
Runnel doesn’t overwhelm founders with complex plans.
We build smart, lean, fast-moving systems that unlock clarity and momentum.

This case study reflects exactly that:
practical growth, predictable demand, and a foundation the founder can now scale confidently.