About the Client
Rajendhra Prasath is a Chennai-based AI Marketing Coach helping entrepreneurs, business owners, and
marketing professionals leverage the power of Artificial Intelligence to streamline their marketing,
supercharge content creation, and build scalable digital systems.
Active across YouTube, Instagram, Facebook, X, and Threads, Rajendhra has built a growing personal brand
based on delivering daily, actionable AI and marketing insights to his community. His digital products
include online courses, coaching programs, and live workshops designed to upskill marketers in leveraging
AI tools.
When he engaged us, his organic content was performing well in terms of engagement but wasn't converting
into consistent course sales. He needed a paid advertising engine that could predictably fill his programs
with qualified buyers — not just random clicks.
"I was generating engagement on social media but it wasn't translating to sales. I needed a paid ads
strategy that could finally connect my content audience to my paid offers at scale."
The Challenge
The personal brand and online coaching space is one of the most competitive paid advertising environments
available. Rajendhra's specific challenges included:
- Unproven ad account: No previous advertising history, meaning Meta and Google's
algorithms had no data to optimize from on day one.
- High CPL in coaching niche: The AI & marketing education space attracts high ad costs
due to big-budget competitors like major EdTech platforms.
- Fragmented audience across platforms: His audience was spread across five different
platforms with varying levels of intent and purchase readiness.
- Landing page not conversion-optimized: The existing sales page for his course had a
low conversion rate, making even quality traffic unprofitable.
- No retargeting system: Warm leads — people who had watched his videos or visited his
site — were being lost with zero follow-up mechanism in place.
The Strategy
We designed a full-funnel paid advertising strategy across Meta (Facebook & Instagram) and Google Ads,
structured around his existing content assets and audience data.
Phase 1 — Foundation & Audience Research (Week 1–2)
- Installed Meta Pixel and Google Tag Manager correctly — including micro-conversion events (video views,
lead magnet downloads, time-on-page) to build rich audience signals from day one.
- Analysed Rajendhra's existing Instagram and YouTube audiences to extract demographic and interest data
used to build precise lookalike audiences.
- Conducted competitor ad analysis using Meta Ad Library to identify what creatives and angles were
already working in the AI marketing coaching niche.
- Collaborated with Rajendhra to produce a free lead magnet (an AI Tools Cheat Sheet) to use as a low-friction
top-of-funnel entry point into the paid ads funnel.
Phase 2 — Campaign Launch & Creative Testing (Week 3–6)
- Launched a Meta Ads campaign with 8 unique ad creatives across 3 formats — video testimonials, carousel
breakdowns, and static quote cards — to rapidly identify the top performers.
- Ran Google Search ads targeting high-intent queries like "AI marketing course India," "how to use AI
for marketing," and "AI tools for digital marketers."
- Built a dedicated, high-converting landing page for the lead magnet — achieving a 42% opt-in rate
against an industry average of 25–30%.
- Set up a 5-step email nurture sequence to warm up leads from the free offer before presenting the paid
course.
Phase 3 — Scaling & Retargeting (Month 2–3)
- Identified the top 2 creatives from Phase 2 and scaled their budgets by 3× while maintaining a
profitable ROAS above 3.0.
- Deployed a retargeting campaign to segment and re-engage three warm audiences: lead magnet downloaders,
course page visitors, and YouTube video viewers (via Google Ads).
- Implemented dynamic retargeting ads on Meta showing specific course modules to users who had abandoned
the checkout, recovering an estimated 18% of lost sales.
- A/B tested landing page headlines and CTAs — the winning variant improved the course sales conversion
rate by 34%.
The Results
Over 3 months of continuous optimization, the campaigns delivered outstanding, measurable results:
330% ROAS
Combined return on ad spend across Meta + Google — for every ₹1 invested, ₹3.30
came back in course revenue.
-48% CPL
Cost Per Lead dropped from ₹320 in week one to ₹165 by month three through
continuous creative and audience optimisation.
5× Sales
Monthly course enrollments grew by 5× compared to pre-campaign organic-only
period.
3.8% CTR
Average click-through rate across all Meta ad creatives — more than double the
industry benchmark of 1.5%.
42%
Lead magnet landing page opt-in rate — significantly above the 25–28% niche
average.
+34%
Course sales page conversion rate improvement via A/B testing of headlines and
CTAs during Phase 3.
"The results were beyond what I expected. Not only did the ROAS exceed our targets, but the quality of
students joining the program improved — they were already pre-sold before they even clicked 'Enroll'. The
strategy was clearly thought through."
Key Takeaways
This campaign proved that personal brand paid advertising can be highly profitable when built on the right
strategic foundations. The defining factors behind the 330% ROAS were:
- Using the client's existing content and community as a free source of high-quality audience data before
spending a single rupee on ads.
- Leading with a free, high-value lead magnet rather than cold-selling the paid course — dramatically
reducing entry resistance.
- Building a proper retargeting machine to ensure every warm lead received multiple, relevant touchpoints
before a purchase decision.
- Continuously testing creatives and landing page elements rather than "setting and forgetting" — the
optimization never stops.