International School of Excellence
₹2.4 Cr
Revenue Delivered162 student applications in 15 days at ₹148 CPL. 12 campus visits converted to enrolled students.
Read Case StudySee how we've helped brands achieve growth through App Dev, SEO, and Product Marketing in Hyderabad.
280% Increase
The client needed to drastically reduce their Cost Per Lead while scaling their overall student enrollment volume in a highly competitive market.
They were competing against well-funded national brands bidding on the same head terms, and their cost per lead had climbed to ₹250 — a level at which the unit economics of the programme no longer worked.
We implemented single-keyword ad groups (SKAGs) and tight audience segmentation to improve Quality Score and reduce wasted spend.
Rather than fight for the expensive head terms, we moved budget to long-tail queries carrying explicit purchase intent, and rebuilt conversion tracking so the account optimised toward enrolments instead of form fills.
Restructured campaigns and reduced CPL from ₹250 to ₹85 in 3 months, increasing enrollment conversions by 280%.
Quality Score rose across the top twenty keywords, which lowered cost per click independently of bid changes and compounded the saving.
What actually moved the number. Two things did most of the work. First, roughly 40% of spend was going to search terms that could never convert — job seekers, free-material hunters and students looking for a different city. A properly built negative list removed that in the first fortnight. Second, the account had been optimising toward "enquiry submitted" for eighteen months. Once enrolments were imported back from the CRM, Google started finding people who looked like enrolled students rather than people who looked like form-fillers.
The campaign restructure got the credit internally, but the measurement fix is what made the restructure work.
| Metric | Before | After |
|---|---|---|
| Cost per lead | ₹250 | ₹85 |
| Enrolment conversions | Baseline | +280% |
| Wasted spend on irrelevant terms | ~40% | Under 6% |
| Time to result | — | 3 months |
₹2.4 Cr
Revenue Delivered162 student applications in 15 days at ₹148 CPL. 12 campus visits converted to enrolled students.
Read Case Study800+
Booked CallsReduced cost per strategy session from ₹120 to ₹45 and achieved 800+ monthly booked consulting calls.
Read Case Study5.2x
ROASScaled monthly course sales from ₹12L to ₹18L while maintaining 5.2x ROAS with Performance Max campaigns.
Read Case StudyCase studies are easy to inflate. These are the rules we hold ourselves to, so you can judge whether the numbers above mean anything.
Every figure quoted is an enrolment, a booked-and-attended call, a paid course sale or revenue. We do not report impressions, reach or engagement as a headline result.
Results are tracked by acquisition cohort, not calendar month. Everyone who first touched the brand in March is followed through to whatever they did by June — because education decisions do not close inside 30 days.
"Before" figures come from the client's own historical data over an equivalent period, not from an industry average chosen to flatter the after.
Every number is confirmed against the client's CRM or finance records before we publish it. Names are anonymised where confidentiality was requested; the figures are not.
Not every campaign works. In a strategy call we will happily walk you through the engagements that underperformed and what we learned — ask.
These outcomes happened for specific businesses under specific conditions. They are evidence of method, not a forecast for your account. Anyone guaranteeing you the same is selling something.
Our work sits entirely within education. Within that, the acquisition problem changes shape depending on what is being sold, and the campaigns look quite different as a result.
Competing locally on outcome and reputation. Local SEO and high-intent search usually carry the account; the constraint is catchment size, not creative.
Long cycles, multiple decision-makers, an emotional decision. The offer is a campus visit, not an enquiry, and follow-up speed decides the outcome.
High ticket, low volume, trust-led. Success is measured in booked and attended strategy calls rather than raw lead count.
Volume-driven with real unit economics. Performance Max and creative-led Meta scaling, judged on ROAS and retention rather than first sale.
Categories nobody searches for by name yet. Demand has to be created on Meta first, then harvested in search once the term exists.
Seasonal, deadline-driven admission windows. The work is front-loaded and the measurement window is compressed to fit the cycle.
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