Performance Marketing Case Study: 71K Ad Spend to 10.7Lakh Revenue (15x ROAS)

₹71,174 spent.
₹10,72,691 revenue generated.

760 purchases at just ₹93 CPA.

Every campaign profitable.
ROAS ranged from 10.9 to 17+.

No hacks.
No shortcuts.

So what made this work?

This performance marketing case study by ROI Hunt breaks down how a structured PPC execution system turned a modest budget into a high-efficiency revenue engine — where consistency replaced guesswork.

The Objective

– Drive high-volume website purchases profitably
– Maintain strong ROAS across all campaigns
– Achieve low CPA without compromising scale
– Build a stable and scalable PPC system
– Maximize revenue per ₹1 spent

The Challenge

– Limited ad budget (~₹71K total spend)
– Need for both scale and efficiency
– Avoid performance drop while increasing volume
– Maintain consistency across campaigns
– Eliminate dependency on “one winning ad”

Performance achieved:

– 10.9x ROAS (lowest)
– 17+ ROAS (top performers)

This isn’t random success.
This is system-driven performance.

The Strategy: System Over Hacks

1. Revenue-First Campaign Structure

Campaigns optimized for:

– Website purchases
– Cost per acquisition (CPA)
– Revenue per ₹1 spent
– Conversion consistency

Every decision tied to profitability — not vanity metrics.

2. Strong Offer Positioning

At this level, performance doesn’t come from ads alone.

– Clear value proposition
– Competitive pricing or offer
– High purchase intent targeting

👉 The offer did half the work.

3. Creative That Converts (Not Just Looks Good)

Winning creatives focused on:

– Clear messaging
– Direct benefits
– Scroll-stopping hooks

No over-designing.
Just clarity that converts.

4. Clean Targeting Strategy

– High-intent audiences prioritized
– Broad + refined targeting balance
– Minimal overlap between ad sets

👉 No audience confusion = better delivery + better ROAS

5. Consistency Over Experimentation Chaos

Instead of random testing:

– Proven frameworks reused
– Stable campaigns maintained
– Scaling done without disrupting performance

This ensured predictable results.

Results (Last 30 Days)

Performance Snapshot

– Total Ad Spend: ₹71,174
– Tracked Revenue: ₹10,72,691
– Website Purchases: 760
– Average ROAS: 15.07x
– ROAS Range: 10.9x → 17+
– Average CPA: ₹93

What This Means

– Every ₹1 generated ₹15 in revenue
– High purchase volume with extremely low CPA
– No dependency on single campaign
– Entire account performing efficiently

👉 This is what scalable performance marketing looks like.

Why This Campaign Worked

Strong Offer Foundation
Product-market fit + pricing clarity

Creative Clarity
Messaging focused on conversion

Targeting Precision
Right users, right intent

System-Based Execution
Repeatable and scalable structure

Profit-First Thinking
Every campaign aligned with revenue goals

Conclusion

Most brands look for hacks.

But performance doesn’t come from hacks.
It comes from systems.

When:
– Offer is strong
– Creatives are clear
– Targeting is clean

👉 Scaling is not risky.
👉 Not scaling is.

Performance marketing isn’t about tweaking ads.

It’s about building a system that prints revenue — consistently.