Performance Marketing Case Study: 91K Ad Spend to 4.29 Lakh Revenue (4.70x ROAS)

₹91,477 spent.
₹4,29,569 revenue generated.

114 purchases at ₹802 CPA.

Looks decent on the surface.
But the real story is deeper 👇

One campaign delivered 6.49x ROAS.
Another dropped to 0.98x.

Same account.
Same audience.

So what changed?

This performance marketing case study by ROI Hunt breaks down how better decision-making — not more ads — drove profitability in a D2C PPC setup.

The Objective

– Drive profitable website purchases using PPC campaigns
– Maintain consistent ROAS across campaigns
– Reduce wasted ad spend
– Improve CPA efficiency
– Build a scalable performance marketing system

The Challenge

– Mixed campaign performance within the same account
– Budget getting distributed across inefficient campaigns
– Difficulty in identifying what to scale vs what to stop
– Risk of over-optimizing already working campaigns
– Hidden losses behind average ROAS

Performance varied from:

– 6.49x ROAS (profitable)
– 0.98x ROAS (loss-making)

That’s not a targeting issue.
That’s a decision-making gap.

The Strategy: Decisions Over Activity

1. Campaign-Level Clarity (No Averages)

Instead of relying on overall ROAS:

– Each campaign analyzed individually
– Winners and losers clearly separated
– Budget decisions made at micro level

👉 No more “blended illusion”

2. Killing Losers Fast

– Campaigns below break-even paused quickly
– No emotional attachment to underperformers
– Budget leakage stopped early

👉 Speed = profitability

3. Scaling Winners Aggressively

High-performing campaigns (6+ ROAS) were:

– Scaled with controlled budget increases
– Duplicated for expansion
– Given majority budget share

👉 Winners drove growth

4. Avoiding Over-Optimization

Most brands break winning campaigns by over-tweaking.

We:

– Maintained stability in high-performing campaigns
– Avoided unnecessary changes
– Let performance compound

👉 Stability protects ROAS

5. Budget Reallocation System

– Spend shifted from low → high efficiency campaigns
– Daily monitoring of CPA and ROAS
– Data-led decision making

Results (Last 30 Days)

Performance Snapshot

– Total Ad Spend: ₹91,477
– Tracked Revenue: ₹4,29,569
– Website Purchases: 114
– Average ROAS: 4.70x
– Top Campaign ROAS: 6.49x
– Lowest Campaign ROAS: 0.98x
– Average CPA: ₹802

What This Means

– Every ₹1 generated ₹4.7 in revenue
– Profit driven by a few strong campaigns
– Weak campaigns diluted overall performance
– Better decisions directly improved efficiency

👉 Growth came from optimization — not more spend

Why This Campaign Worked

Fast Decision-Making
Losers were cut before wasting budget

Aggressive Scaling
Winning campaigns were pushed harder

System-Based Budget Allocation
Money followed performance

Stability Over Noise
Winning campaigns were not over-optimized

Profit-First Thinking
ROAS and CPA controlled every move

Conclusion

Most D2C brands don’t have a scaling problem.

They have a decision-making problem.

Same account.
Same audience.
Different results.

The difference wasn’t strategy.
It was execution.

👉 Cut losers fast
👉 Scale winners aggressively
👉 Don’t touch what’s working

That’s how performance marketing becomes predictable.

Because D2C growth isn’t about running more ads.

It’s about making better decisions.