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Skincare · Google Ads · Geographic Expansion

Growing a TN-based skincare brand's national revenue by 39% through Google Ads restructuring.

Period

Jan 2024 – Jan 2026

Channel

Google Ads

Company

Conversion Lab

Results

+39%

Non-TN revenue growth, year-on-year

₹2.77Cr

Non-TN Google Ads revenue in year 2

8.05x

ROAS achieved in Karnataka

Context

A strong brand, stuck in one state.

This is a skincare brand based in Tamil Nadu. In TN, it had an established customer base and reasonable brand recognition. Outside TN, it had a Google Ads account with national reach — but the numbers outside the home state weren't moving.

Non-Tamil Nadu markets were getting ad spend but returning inconsistent ROAS. Some states were clearly underperforming. Others had potential that wasn't being captured. The account structure didn't allow you to tell the difference — everything was running together with no way to isolate what was working where.

The objective was clear: grow national revenue without burning budget on markets that weren't ready. That required understanding which states had real demand, and building a structure that could find and scale them.

Approach

1

Audit

Diagnosing the problem

The brand had strong Tamil Nadu performance — it was a known name there. Outside TN, ad spend existed but wasn't working. ROAS was erratic across states, campaigns weren't structured by geography, and there was no way to tell which markets were scalable versus wasteful.

2

Strategy

Restructuring by geography

Rather than running national campaigns and hoping for the best, I rebuilt the account with state-level segmentation. Each high-potential state got its own campaign structure, budget, and bid strategy — so performance could be read and optimised independently.

3

Execution

Finding the markets that worked

With state-level visibility, patterns emerged quickly. Karnataka responded exceptionally well — 8.05x ROAS in 2025. Bihar and UP, which had previously shown poor returns, began improving as budgets were redirected toward the ad types and audiences that were converting in those markets.

4

Scale

Compounding returns

Over the full year-on-year comparison (Jan 2024–Jan 2025 vs Jan 2025–Jan 2026), non-TN revenue grew 39%, reaching ₹2.77 crore. The brand went from being regionally dependent to having a genuinely diversified national revenue base through Google Ads.

State-level results

Markets that moved.

Once campaigns were restructured by geography, the performance gaps became legible — and actionable.

Karnataka

Highest ROAS of any state

8.05x

Bihar

5x efficiency improvement

0.67x → 3.44x

Uttar Pradesh

More than doubled ROAS

1.58x → 3.52x

Bihar and UP data reflects year-on-year ROAS comparison (Jan 2024–Jan 2025 vs Jan 2025–Jan 2026). Karnataka figure is for the Jan 2025–Jan 2026 period.

Data

Account data, from Google Ads.

Year-on-year comparisons showing account-level performance and state breakdown for non-TN markets.

Account overview: Jan 2024 – Jan 2025 (baseline year)
Account overview: Jan 2024 – Jan 2025 (baseline year)
Account overview: Jan 2025 – Jan 2026 (growth year)
Account overview: Jan 2025 – Jan 2026 (growth year)
State-level performance — Karnataka, Bihar, Uttar Pradesh
State-level performance — Karnataka, Bihar, Uttar Pradesh
State-level performance — extended view
State-level performance — extended view

What this shows

National campaigns don't build national presence on their own — they just spread budget thin. When you can see state-level performance independently, you find that a few markets are carrying the results and many are dragging them down.

The 39% non-TN growth wasn't from increasing total spend. It was from understanding where the demand already existed, building a structure that could capture it, and reallocating away from states that weren't converting. Geographic segmentation is an operational decision as much as a campaign decision.