EdTech PPC is a scaling game. Every platform works at ₹2 Lakh/month. The question is whether it still works at ₹20 Lakh/month. We've helped EdTech companies scale 7.5x while holding CPA flat, because we build campaigns designed for scale from day one, not retrofitted later.
Online learning operates in a unique space: low switching costs, high competition, seasonal demand, and the constant challenge of proving value before the student pays.
Every EdTech founder has the same story: campaigns work at ₹2-3L/month, but doubling the budget doubles the CPA. The audience pool saturates, Google bids up, and your economics collapse. Scaling requires systematic audience expansion and channel diversification, not just budget increases.
Free trial signups are easy. Converting free users to paying students is where EdTech PPC actually earns its keep. If your PPC optimizes for signups without caring about activation and payment, you're buying vanity metrics.
Unlike local services, EdTech competes globally. An Indian coding bootcamp competes with Coursera, Udemy, and YouTube tutorials. Your campaigns need to differentiate on outcomes (job placement, salary increase), not just content access.
Course enrollments spike around New Year resolutions, back-to-school periods, and career change seasons (post-appraisal). Between these windows, demand drops 40-60%. Your campaigns need to ride these waves, not fight against them.
A coding bootcamp targets fresh graduates, mid-career switchers, and working professionals simultaneously. Each segment has different motivations, different budget tolerance, and different search behavior. One campaign for all three fails all three.
Students discover your course in 5 minutes but take 2-4 weeks to decide. They'll watch free previews, read reviews, compare prices, and consult friends. Your remarketing needs to nurture this deliberation without being annoying.
EdTech student acquisition spans search, social, and video. Here's the platform mix that delivers scalable enrollments.
Intent-driven campaigns: 'learn Python online', 'data science course with placement', 'MBA equivalent online'. Segmented by course type, career outcome, and price sensitivity. Landing pages with curriculum, instructor credentials, and placement statistics.
Student testimonial videos, free lesson previews, and instructor introductions as pre-roll ads. YouTube is where students evaluate teaching quality before committing. EdTech clients consistently see YouTube-assisted enrollments at 1.5-2x the conversion rate of search-only.
Lookalike audiences based on your best-converting students. Retargeting website visitors with enrollment deadline urgency and student success stories. Instagram Reels with quick skill demonstrations and career outcome highlights.
For EdTech apps, Google App Campaigns optimized for in-app events (first lesson completed, 7-day streak) rather than just installs. Ensures the users you acquire actually engage with the platform.
Progressive sequence: Day 1 shows course curriculum, Day 7 shows student outcomes, Day 14 shows limited-time pricing, Day 21 shows enrollment deadline. Each touchpoint addresses a different objection in the decision cycle.
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Get a Free Proposal →We build campaigns that work at ₹2L/month AND at ₹20L/month. Here's the architecture.
Each course product gets its own campaign with audience-specific targeting. A Python bootcamp for career changers needs different messaging than a Python course for students. We map course products to audience segments before building any campaign.
Campaign structure designed for gradual 15-20% weekly budget increases. Multiple ad groups per course allowing independent scaling. Separate campaigns per audience segment so saturation in one doesn't drag down others.
We optimize for downstream events (lesson completed, assignment submitted, payment made) not just signups. Google and Meta's algorithms learn from these deeper events and find users more likely to actually pay and complete the course.
EdTech revenue is cohort-based (batch enrollments). We track each monthly cohort from acquisition to completion to measure true CAC, completion rate, and revenue per student acquired through each channel and campaign.
Scaled from ₹2L to ₹15L/month over 5 months without CPA inflation. CPA actually decreased from ₹420 to ₹385 at scale. Monthly enrollments grew from 480 to 3,200. YouTube TrueView top-of-funnel feeding into Search remarketing.
Monthly enrollments grew from 35 to 140 at GBP 800-2,500 price points. Conversion rate improved from 0.8% to 3.4%. Webinar funnel as mid-conversion point drove 18% of total enrollments. YouTube contributed 30%.
Cost per enrolled student reduced from ₹8,500 to ₹3,200. Placement-focused Google campaigns ('coding course with job guarantee') outperformed skill-focused campaigns by 2.4x. Instagram Reels with student career transitions drove 25% of total inquiries.
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Get My Free Proposal →Three tactics: First, gradual budget increases (15-20%/week max, never double overnight). Second, audience expansion into new segments (career changers, working professionals, tier-2 cities) rather than saturating one segment. Third, channel diversification (add YouTube and Instagram when Google saturates). We've scaled campaigns 7.5x with CPA actually decreasing.
Paid enrollments, always. Optimizing for free signups trains the algorithm to find people who sign up for free things, not people who pay. We set up conversion events for trial completion, course start, and payment, then optimize bidding toward the deepest event that has enough volume for algorithm learning (typically 15-30 conversions/week).
You don't compete on content access. You compete on outcomes. 'Learn Python' is free everywhere. 'Get a ₹8 LPA job as a Python developer in 6 months with mentorship and placement support' is your value proposition. Campaigns focus on career outcomes, placement rates, salary data, and mentorship, not just course content.
For courses under ₹5,000: CAC of ₹500-1,500 is typical. ₹5,000-25,000 range: CAC of ₹2,000-5,000. Premium programs (₹50,000+): CAC of ₹8,000-15,000. The benchmark isn't absolute CAC but CAC:LTV ratio, which should be at least 1:3 for sustainable growth.
January (New Year resolutions), May-June (summer break for students), and September (back to routine) are peak enrollment months. Budget scales 50-80% during these windows. Off-peak months shift toward brand awareness, free content distribution, and email list building so the pipeline is warm for the next peak.
Yes, and focus is your advantage. A startup with one well-defined course can target that niche precisely, often outperforming larger platforms with diffused campaigns. Start with ₹50,000-1,00,000/month focused on your specific course's outcome keywords. Scale as you validate the unit economics.
Strategy, platform recommendations, timelines, and pricing built around your business.
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We tried scaling ourselves 3 times and CPA exploded every time. They scaled us from ₹2L to ₹15L monthly over 5 months and our CPA actually went down. The systematic approach to scaling was the difference.
Switching from optimizing for signups to optimizing for payments changed everything. Signup volume dropped 30% but paying students tripled. We were buying the wrong audience the whole time.
The YouTube strategy brought us students we could never reach through Google Search alone. People who watched a 2-minute course preview converted at 3x the rate of people who just clicked a text ad.
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