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How ROI Hunt Generated 7.85 Lakhs in Revenue in 30 Days Using Meta Ads

Meta Ads (Facebook & Instagram) remain one of the most powerful growth channels for ecommerce brands—but only when executed with the right strategy. Rising competition, increasing CPMs, and poor campaign structure often lead brands to overspend without meaningful returns.

A growing ecommerce brand partnered with ROI Hunt, a performance-driven Meta Ads / Facebook Advertising Agency, to build a profitable acquisition engine focused on sales, not vanity metrics.

The objective was clear:
Generate consistent website purchases while maintaining strong ROAS.

The Results?

  • – 108 website purchases
  • – ₹7,85,161 in revenue
  • – ₹1,28,799.75 ad spend
  • – 6.10x ROAS in 30 days

This case study explains how ROI Hunt a ecommerce marketing company achieved these results using a structured, conversion-focused Meta Ads strategy.

Facebook Advertising Agency Case Study_ ₹7.85L Revenue in 30 Days

The Challenge

Before working with ROI Hunt, the brand faced several performance roadblocks.

1. Inconsistent Purchase Volume

Although Meta Ads were running, sales lacked predictability. Some campaigns delivered results, while others failed to convert efficiently.

There was no scalable system to drive purchases consistently.

2. Rising Acquisition Costs

As budgets increased, cost per purchase climbed. Without ROAS control, scaling felt risky and unsustainable.

3. Fragmented Campaign Structure

Audience overlap, unstable learning phases, and inefficient budget distribution caused performance volatility.

4. Lack of Performance Ownership

Optimisations were reactive. Decisions were not guided by clear ROAS benchmarks or purchase data.

The brand needed a Meta Ads agency that could own performance end-to-end, not just run ads.

The ROI Hunt Approach

ROI Hunt applied its Performance-First Meta Ads Framework, designed specifically for ecommerce growth.

1. Conversion-Focused Campaign Architecture

All campaigns were rebuilt and optimised strictly for Website Purchases.

This allowed Meta’s algorithm to prioritise high-intent buyers instead of surface-level engagement.

2. Audience Structuring & Control

Audiences were segmented into:

  • – Warm audiences (engagers and website visitors)
  • – High-intent lookalikes
  • – Carefully tested cold audiences

Audience overlap was minimised to stabilise delivery and protect ROAS.

3. Creative-Led Optimisation

Creatives were treated as the primary growth lever:

  • – Multiple variations tested simultaneously
  • – Clear product-led messaging
  • – Native, scroll-friendly formats

This helped maintain engagement at scale and reduced creative fatigue.

4. ROAS-Driven Budget Allocation

Budgets were allocated dynamically based on performance:

  • – High-ROAS campaigns scaled
  • – Low-efficiency ad sets paused quickly

Every rupee spent had a clear performance justification.

Campaign Execution

Over the 30-day period:

  • – Ads reached 5,44,542 accounts Media
  • – Generated 10,74,175 impressions
  • – Maintained consistent delivery without spikes or drops
  • – Cost per purchase remained controlled at ₹1,192.59

Performance was monitored daily to ensure stability and efficiency.

The Results (30-Day Performance)

Facebook Advertising Agency Case Study Campaign Performance Overview

Campaign Performance Overview

Metric Result
Total Purchases 108
Total Ad Spend ₹1,28,799.75
Total Revenue ₹7,85,161.00
Average ROAS 6.10x
Avg Cost per Purchase ₹1,192.59
Reach 5,44,542
Impressions 10,74,175

For every ₹1 spent on Meta Ads, the brand generated ₹6.10 in revenue.

Why This Meta Ads Strategy Worked

1. Purchase-First Optimisation

Every campaign was aligned to sales, not clicks or impressions.

2. Creative as a Performance Lever

Strong creatives protected ROAS even as reach expanded.

3. Data-Led Scaling

Budgets were increased only when ROAS benchmarks were met.

Conclusion

This case study proves that Meta Ads can still deliver strong, profitable growth when guided by structure, data, and performance ownership.

By applying a conversion-focused Meta Ads strategy, ROI Hunt helped an ecommerce brand generate ₹7.85 lakhs in revenue in just 30 days with a 6.10x ROAS.

If you’re looking for a Meta Ads / Facebook Advertising Agency that prioritises profitability over spend, ROI Hunt builds systems that scale with control.