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Performance Marketing Case Study: 72K Ad Spend to 3.9 Lakh Revenue (5.39x ROAS)

₹72K in ad spend.
₹3.9L in revenue.

Same account.
Same month.
Different ROAS outcomes.

One campaign delivered 10.31x ROAS.
Another struggled at 2.74x.

That’s the reality of performance marketing.

It doesn’t reward effort.
It rewards execution.

This performance marketing case study by ROI Hunt, a leading performance marketing company and provider of PPC services in India, shows how disciplined optimization across Meta Ads and Google Ads generated profitable growth without increasing complexity.

Performance Marketing Case Study_ 72K Ad Spend to 3.9 Lakh Revenue (5.39x ROAS)
Performance Marketing Case Study_ 72K Ad Spend to 3.9 Lakh Revenue (5.39x ROAS)

The Objective

– Drive profitable website purchases using Google Ads and Meta Ads
– Improve overall ROAS across campaigns
– Reduce wasted spend through smarter optimization
– Scale high-performing campaigns profitably
– Build a repeatable performance marketing system

The Challenge

– Mixed campaign performance within the same account
– Budget being consumed by average-performing campaigns
– Maintaining profitable ROAS while scaling
– Balancing Meta Ads and Google Ads efficiency
– Limited margin for budget wastage

Performance breakdown:

10.31x ROAS (top performer)
4.86x ROAS (stable performer)
3.01x ROAS (average performer)
2.74x ROAS (underperformer)

That’s not a platform issue.
That’s an execution issue.

The Strategy: Execution Over Activity

1. Performance-Driven PPC Management

As a team offering PPC services in India, we focused on:

– ROAS consistency
– Revenue contribution
– Cost per acquisition (CPA)
– Campaign-level profitability

👉 Every campaign had to justify its spend.

2. Scaling What Converts

Top-performing campaigns:

– Received higher budget allocation
– Were scaled gradually
– Maintained stability before expansion

👉 Proven winners drove account growth.

3. Killing Weak Campaigns Fast

Low-performing campaigns:

– Were monitored aggressively
– Paused before draining budget
– Removed based on performance data

👉 No emotional attachment. Only numbers.

4. Data-Driven Optimization

As a Google Ads expert and Facebook Ads expert in India, ROI Hunt optimized campaigns using:

– Purchase behavior analysis
– Conversion trends
– ROAS movement
– Audience intent signals

👉 Decisions were based on data, not assumptions.

5. Cross-Platform Performance Marketing

Instead of treating platforms separately:

– Google Ads captured high-intent traffic
– Meta Ads scaled awareness and conversions
– Budget shifted based on platform efficiency

👉 Performance marketing worked as a connected system.

Results (Last 30 Days)

Performance Snapshot

– Total Ad Spend: ₹72,356
– Tracked Revenue: ₹3,90,150
– Website Purchases: 23
– Average ROAS: 5.39x
– Top Campaign ROAS: 10.31x
– Lowest Campaign ROAS: 2.74x

Performance Marketing Case Study_ 72K Ad Spend to 3.9 Lakh Revenue
Performance Marketing Case Study_ 72K Ad Spend to 3.9 Lakh Revenue

What This Means

– Strong campaigns generated majority revenue
– Better allocation improved overall profitability
– Fast optimization protected ROAS
– Growth came from execution, not more creatives

👉 Performance marketing success came from smarter decisions.

Why This Worked

Execution-Focused Strategy

No random scaling or guesswork

Fast Campaign Optimization

Low performers removed quickly

Cross-Platform PPC Expertise

Google Ads + Meta Ads optimized together

Budget Discipline

Spend aligned with profitability

Data-Driven Scaling

Winning campaigns scaled with control

Key Insight

👉 Performance marketing doesn’t reward effort.

👉 It rewards execution.

Most brands:
– Keep weak campaigns running
– Increase budget emotionally

Winning brands:
– Scale what converts
– Kill what doesn’t
– Let data drive decisions

Conclusion

Scaling profitable campaigns isn’t about doing more.

It’s about:
👉 Better execution
👉 Faster optimization
👉 Smarter budget allocation

As a performance marketing company offering PPC services in India, ROI Hunt helps brands scale through structured optimization across Google Ads and Meta Ads.

Because profitable growth doesn’t come from hope.

It comes from data-backed execution.