EdTech Marketing Transformation — Fast-Growing EdTech Startup
An EdTech startup was spending ₹4 lakhs per month on digital marketing with no way to tell which channels were driving enrolments. Attune built their attribution infrastructure, reallocated their budget, and launched an organic content strategy — growing enrolments 68% without increasing spend.
The Challenge
An edtech startup was spending ₹4 lakhs per month on digital marketing with no attribution framework. They couldn't tell which channels were driving enrolments and were scaling spend on instinct, not data.
- ₹4 lakhs/month in marketing spend across 6 channels with zero UTM tracking or attribution
- 70% of qualified leads were coming from brand search but attributed to 'direct' — masking the true cost per acquisition
- No CRM-to-marketing integration, making it impossible to track leads from ad click to enrolment
- Two channels were consuming 40% of budget while contributing less than 8% of enrolments
- No content or SEO strategy — the entire marketing operation was paid-only and increasingly expensive
Industry Context
Why this problem is common in Education Technology
EdTech in India is one of the most competitive digital marketing landscapes. Customer acquisition costs have risen 3× since 2020, making attribution hygiene a survival-level capability rather than a 'nice to have'. The core problem for most EdTech companies under ₹10 crore ARR is the same as this client's: they know marketing spend is high, but they don't know which spend is working. The solution is always attribution infrastructure first, spend optimisation second — and most companies get this order reversed, optimising within a broken measurement system.
Our Approach
A structured 3 months engagement with clear phases and defined outcomes at each stage.
Audit & Attribution Setup
Week 1Audited all 6 marketing channels — Google Ads, Meta, YouTube, email, affiliates, and direct. Designed a UTM taxonomy, implemented GA4 conversion tracking for every stage of the enrolment funnel, and set up a Looker Studio attribution dashboard connecting ad spend to actual enrolments.
CRM Integration & Funnel Mapping
Week 2Integrated CRM with GA4 via server-side tracking. Mapped the full enrolment funnel from first ad click to course completion, enabling true multi-touch attribution. This was the step that revealed the attribution errors costing the client real money.
Budget Reallocation
Week 3–4Based on the attribution data, paused two underperforming channels immediately and reallocated ₹1.6 lakhs/month to high-performing channels. Restructured Google Ads campaigns from broad to intent-based targeting. Rebuilt Meta audiences using CRM lookalikes based on enrolled students.
Content & SEO Strategy
Month 2–3Conducted keyword research identifying 340 rankable opportunities across 8 course categories. Built a 12-month content calendar, published 12 cornerstone articles targeting high-intent search queries, and optimised all 24 course landing pages for on-page SEO. Set up monthly content performance reviews.
Paid Campaign Optimisation
OngoingA/B tested 32 ad creative variants across Google and Meta. Built a remarketing sequence targeting users who had viewed course pages but not enrolled. Implemented bidding strategy aligned to target CPA rather than clicks. Monthly performance reviews with spend reallocation based on ROAS data.
What We Delivered
Tangible outputs handed over at project close.
The Outcome
The most counterintuitive result: monthly enrolments grew 68% while marketing spend stayed completely flat. The mechanism was simple once the attribution was in place — 40% of budget had been flowing to two channels generating almost no enrolments. Once reallocated, the high-performing channels scaled. The organic SEO strategy compounded over time; the 12 cornerstone articles published in Month 2 are still generating enrolments 18 months later. The client now has a marketing operation where every rupee is tracked to enrolment — something most companies their size don't have.
“We were flying blind before Attune. Now we know exactly what every rupee of marketing spend is generating. The results spoke for themselves.”— Co-Founder, EdTech Startup
Key Learnings
What this engagement taught us — applicable to any business facing similar challenges.
'Running ads' and 'running a marketing operation' are different things — attribution is the dividing line between the two
Organic SEO compounds over time; the content strategy launched in Month 2 still drives enrolments 18 months later, at zero marginal cost
Most SME marketing stacks have a CRM and an ads account but no bridge between them — that bridge is where attribution breaks and where the biggest efficiency gains are found
Rebuilding audiences from CRM data (enrolled students) rather than platform-suggested audiences typically improves Meta ROAS by 30–50% alone
Frequently Asked Questions
Common questions about this type of engagement.
How quickly did results appear?
The cost-per-enrolment improvement was visible within 30 days of the budget reallocation. The 68% enrolment growth took 90 days to fully materialise as the new campaigns and audiences built momentum. SEO results began appearing in Month 3 and compounded through Month 6.
Which channels were paused as underperforming?
We don't disclose specific channel names for client confidentiality, but generally: channels that appear to drive leads but can't be tracked to actual enrolments. In most EdTech contexts, YouTube discovery spend and affiliate networks are the most common sources of attribution leakage — they generate impressions and 'leads' that convert via another channel, getting that channel the credit.
What tools did you use for attribution?
GA4 as the primary measurement platform, with server-side conversion tracking to reduce cookie-related data loss. Looker Studio for the reporting dashboard. CRM integration was built via webhook for real-time lead-to-enrolment matching. All tools used are standard, cost-effective, and the client now operates them independently.
How do you build an SEO content strategy for an EdTech company?
We start with keyword research focused on three query types: course-specific ('best data science course in Kerala'), problem-aware ('how to get a data science job'), and comparison ('Course A vs Course B'). We then identify which queries have rankable competition levels and map them to the client's course catalogue. Content is prioritised by search volume × ranking difficulty × commercial relevance.
What is a realistic marketing budget for an EdTech startup?
Budget depends heavily on your cost-per-enrolment target and average course revenue. A general benchmark: 15–25% of targeted monthly revenue. More importantly, we recommend allocating at least 20% of the marketing budget to measurement infrastructure and content before scaling paid spend — otherwise you're scaling a system you can't optimise.
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