Paid media fulfillment for ecommerce agencies: Managing ₹45L+ annual spend with 3.2x ROAS
An ecommerce-focused agency partnered with RankerNet to manage paid ads across Google, Facebook, and Instagram, resulting in a 3.2x blended ROAS while the agency doubled their client base.
Context and constraints
Priya's ecommerce agency in Bangalore ran paid media for five clients with one media buyer and an assistant. Performance was stable, but the team was stuck in daily optimization loops and could not confidently onboard new accounts without risking ROAS.
Baseline and data sources
We audited Google Ads, Meta Ads, and Shopify revenue reports across the five accounts. Baseline blended ROAS was 2.2x, average CPA was flat for three months, and creative refresh cadence was irregular. We also reviewed campaign naming and spend pacing to quantify time lost to cleanup.
What we changed (first 6 weeks)
We focused on structure and repeatability rather than one-off tweaks:
- Standardized account structure and naming to make reporting consistent.
- Cleaned product feeds and excluded low-margin SKUs from Shopping.
- Instituted a creative testing cadence (3-5 variants live per campaign).
- Added a weekly optimization rhythm with documented changes.
- Split retargeting by funnel stage and added frequency caps.
What we kept steady
We did not change pricing or onsite conversion flows during the first month. That kept ROAS comparisons meaningful.
Results after 8 months
Across 12 accounts, blended ROAS settled at 3.2x and spend scaled to ₹45L+ annually. Average CPA dropped 28%, and new accounts reached stable performance by month 2 or 3.
- Blended ROAS: 3.2x (Google Ads + Meta Ads, Jan to Aug 2026)
- Annual spend managed: ₹45L+ (platform spend reports)
- Account growth: 5 to 12 clients (+140%)
What did not work
Broad lookalikes above 5% similarity consistently underperformed in this category. We paused them and shifted budget to narrower audiences and intent-led search terms. That alone improved ROAS by ~0.3x in two accounts.
How to cite these results
Measurement period: 8 months (Jan-Aug 2026). ROAS and CPA sourced from platform reports; revenue attributed using Shopify order data and UTM tracking. Results reflect blended performance across the 12 active accounts.
Takeaway
The biggest lift came from making the system predictable: structured accounts, disciplined creative testing, and a weekly optimization routine. That freed time for strategy while improving performance.
"The team at RankerNet freed us up to focus on business development. Our clients are happier because their ROAS improved, and we're more profitable because we're managing 12 accounts instead of 5 without adding headcount. It's a win-win model that actually works."
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