An EdTech website has four critical jobs: surface courses and learning paths (SEO-discoverable), capture leads via magnets and forms, handle payment + trial flows, and hand off cleanly to the LMS. Most Indian EdTech sites underperform on two of the four. We build on Next.js with a content layer (Sanity or Contentlayer), course catalog schema for discoverability, Razorpay/CCAvenue for payments, and LMS integration via your existing tool (Teachable, Thinkific, custom, or WhatsApp-delivery). The constraint shaping every technical decision is the device the learner holds, since most Indian education traffic arrives on a mid-range Android phone over an unreliable connection. A site that is quick on a reviewer's laptop and takes six seconds on a four-year-old handset fails most of the audience, so we set performance budgets against that device class.
EdTech site architecture considerations: course catalog needs Course and LearningResource schema for rich results and AEO; pricing pages need clear trial terms, refund policies and payment options because Indian learners research refund terms deeply before paying; lead capture needs magnet offers on every high-traffic content page (not just a single contact form); LMS handoff must preserve UTM and enrollment attribution end-to-end or your paid spend data becomes unreliable. Vernacular handling - for products targeting non-metro or tier-2/3 audiences, i18n with proper hreflang, not duplicate sites, keeps SEO clean while serving multiple languages. Speed matters especially on mobile: 70%+ of Indian EdTech traffic is mobile, and a 3-second load loses 30-40% of visitors before the page even finishes rendering. Payment reliability deserves more engineering attention than it gets, because Indian card and UPI flows fail intermittently for reasons outside your control, and a checkout treating a failure as a dead end loses a learner who already decided to buy. Retry paths and a recovery message on abandonment recover a real share of those attempts. The other neglected surface is the logged-in boundary, where a paying learner meets an LMS with a different design, a second login and no continuity.



























































