IT & SaaS · Performance Marketing Case Study

2.1x to 4.6x ROAS — On ₹18L of Monthly Ad Spend

FinBridge was spending ₹18L a month on paid search and LinkedIn without a clear read on what was actually working. Here's how a weekly optimization cadence more than doubled ROAS on the exact same budget.

★★★★★5.0/5 6-month engagement Paid search + LinkedIn ABM
2.1x → 4.6x
ROAS on ₹18L monthly spend
83L
monthly revenue attributed to paid
0₹
additional spend required to get there
IT & SaaS
Paid Search
LinkedIn ABM
Client

FinBridge

B2B fintech SaaS platform

Starting point

2.1x ROAS, ₹18L/mo spend

Broad targeting, no weekly optimization cadence, unclear attribution

Engagement window

6 months

Ongoing performance marketing retainer

Services

Performance Marketing

Paid search, LinkedIn ABM, weekly testing

The challenge

₹18L a Month, and No Idea Which Half Was Working

FinBridge was already spending seriously on paid search and LinkedIn — ₹18L a month — but the account had been set up once and left largely untouched since. Targeting was broad, creative hadn't been refreshed in months, and attribution was murky enough that nobody could say with confidence which campaigns were actually driving the ₹83L a month coming through the door. ROAS sat at a mediocre 2.1x, and the team's instinct was to cut spend rather than fix the account — which would have starved the channels that were already working.

2.1x ROAS on ₹18L monthly spend, largely untouched,
before this engagement began
01 — What we did

The Weekly Optimization Cadence We Ran

1Week 1

Audit & Fix Attribution

Rebuilt conversion tracking end-to-end so every rupee of the ₹83L in monthly revenue could be traced to a specific campaign.

2Week 1–2

Rebuild Targeting

Narrowed Google Search to high-intent buyer terms and rebuilt LinkedIn ABM lists around accounts matching closed-won deals.

3Week 3–4

Creative Refresh

Replaced stale, months-old creative with new ad variants tested against the account's actual buyer personas.

4Ongoing

Weekly Optimization Sprints

Every campaign reviewed weekly against ROAS, not monthly — winners scaled and underperformers cut within days, not quarters.

5Month 2–4

Budget Reallocation

Spend shifted toward the channel and audience combinations proving out the highest ROAS, without raising total budget.

6Monthly

Live Dashboard Reporting

A live, always-on dashboard replaced the monthly PDF report — full visibility into where every rupee was going, in real time.

i

Weekly beats monthly. The single biggest lever wasn't a new channel or a bigger budget — it was reviewing performance every week instead of every month, catching winners and losers while they still mattered.

02 — Results

From a Static Account to a Live Optimization Engine

ROAS
2.1x → 4.6x
on the same ₹18L monthly spend

More than doubled return on ad spend without increasing budget by a single rupee.

Revenue
₹83L
monthly revenue attributed to paid

Full attribution now traces every closed deal back to the exact campaign that sourced it.

Efficiency
₹0
additional spend required

The entire ROAS gain came from optimization, not from spending more.

Ads Manager · Performance
LIVE
Ad spend
18L
Revenue
83L
ROAS
4.6x
Campaign Performance
Live
CampaignROAS
Google Search (high-intent)2.4x 5.1x
LinkedIn ABM (target accounts)1.8x 4.4x
Retargeting3.0x 8.7x
Google Display1.2x 3.2x
03 — In their words

What the Founder Says

★★★★★

"Their weekly optimization cadence took our ROAS from 2.1x to 4.6x. The live dashboard means I always know where every rupee goes."

RM
Rohit Menon
Founder, FinBridge
Methodology

ROAS and revenue figures come directly from Google Ads and LinkedIn Campaign Manager, reconciled against the client's CRM to confirm closed-deal attribution. Spend levels held constant across the comparison window. Timeframe and starting baseline stated above, as with every case study we publish.

Next Step

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