These aren't projections or industry averages. These are real numbers from real clients across real campaigns that we ran and optimised.
12,400+
Total Leads Generated
6.8×
Average ROAS
₹42Cr+
Total Ad Spend Managed
200+
Brands Served
Healthcare
MedCare Diagnostics — 12 Cities
7.4×
ROAS
340%
More Leads
The Challenge
A 12-city diagnostic chain was running Google Ads with no conversion tracking, broad match keywords, and a website not optimised for mobile. CPL was ₹1,200+ with mostly unqualified inquiries.
Our Strategy
Rebuilt the account with city-specific campaigns and service-specific ad groups. Installed GA4 + GTM with call tracking via Exotel. Created 12 custom landing pages — one per city.
Key Learnings
City-level landing pages reduced bounce rate from 74% to 32%. Call-only ads in tier-2 cities outperformed form ads 3:1. Negative keyword library blocked 4,200 irrelevant search terms in month 1.
₹180
Cost Per Lead (was ₹1,200)
528
Monthly Leads (was 120)
7.4×
ROAS by Month 3
85%
CPL Reduction
Google Search AdsGA4 SetupCall TrackingLanding Page CROGTM
Real Estate
Skyline Builders — Pune Premium Residential
820
Qualified Leads
12
Units Booked
The Challenge
Skyline was running generic Facebook lead gen campaigns for ₹85L–1.2Cr apartments. Getting 90 leads/month at ₹1,800 CPL — but sales team said 80% were unqualified.
Our Strategy
Built a multi-step qualification funnel using Facebook Instant Forms with intent-revealing questions. Combined Meta for awareness with Google for high-intent search. Created 4 buyer persona segments.
Key Learnings
Adding 2 qualification questions to the lead form reduced volume by 30% but improved sales conversion by 4×. NRI-targeted campaigns had the highest CPL but best close rate.
₹312
Cost Per Qualified Lead
820
Leads in 90 Days
12
Units Booked
83%
CPL Reduction
Meta Lead AdsGoogle SearchLead QualificationWhatsApp Automation
E-commerce
NaturalCo D2C — Bengaluru Organic Products
9.1×
Peak ROAS
5×
Revenue Growth
The Challenge
A Bengaluru-based D2C organic skincare brand was spending ₹2L/month on Google Ads using broad match keywords and manual CPC bidding. ROAS was 1.8× — barely covering costs.
Our Strategy
Rebuilt Google Ads with Performance Max anchored to a cleaned Shopping feed. Switched to Target ROAS bidding at 500%. Created a Meta retargeting sequence for cart abandoners.
Key Learnings
PMax outperformed legacy Shopping campaigns by 40% once Shopping feed was optimised. Cart abandonment email + Meta retargeting together recovered 18% of abandoned carts.
9.1×
Peak ROAS (was 1.8×)
5×
Revenue Growth (6 months)
62%
Lower CAC
18%
Cart Recovery Rate
Google ShoppingPerformance MaxMeta RetargetingGA4 Ecommerce
Education
EduVance Academy — MBA & Professional Courses
4.2×
ROAS
1,840
Leads
The Challenge
An education institute had their entire ₹5L/month budget on Google Brand keywords — capturing existing demand but creating none. No Facebook presence. Admission season was 3 months away.
Our Strategy
Moved 60% of budget to Facebook for top-of-funnel awareness targeting 23–35 year working professionals. Google Search for high-intent queries. Created a 3-part video funnel.
Key Learnings
Video ads outperformed static ads 2.8× for education. Alumni testimonial videos had the lowest CPL. Adding countdown timers to landing pages increased form fills by 34%.
₹420
Cost Per Lead
1,840
Qualified Leads (3 months)
4.2×
ROAS on Campaign
94%
Seats Filled (was 61%)
Facebook Video AdsGoogle SearchRemarketingLanding Page CRO
B2B SaaS
FleetOS — Logistics Management Software
42
Enterprise Demos
₹2,200
CPL
The Challenge
A B2B SaaS company selling fleet management software had tried Google Ads with no success. CPL was ₹8,000+. Sales team was closing 1 in 30 leads because the audience wasn't decision-makers.
Our Strategy
Moved entirely to LinkedIn for awareness and demo bookings. Targeted Fleet Managers, Logistics Heads, and COOs at companies with 50+ vehicles. Created a gated "Fleet Cost Savings Calculator".
Key Learnings
Gated tools generate 3× more qualified leads than white papers for SaaS. LinkedIn CPL of ₹2,200 sounds high but close rate of 1 in 8 vs 1 in 30 on Google made unit economics work.