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Identified key content formats and channels driving high-intent learners
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Validated survey insights through web traffic and behavioural analysis
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Uncovered gaps in UX and content clarity across referral and social media sources
CLIENT CHALLENGES
- An online educational platform approached us to help understand which traffic sources and digital content formats were driving the most engaged learners over a two-year period
- The client also wanted to validate user feedback collected through a web-based survey focused on user satisfaction, navigation challenges and content relevance
- The platform had recently overhauled its content strategy and sought to correlate SEO, referral performance and bounce rates to assess effectiveness
OUR APPROACH
- Step 1: Web traffic analysis - Leveraged tools SimilarWeb and SEMrush to extract website visit trends, source-wise breakdowns (direct, referral, social, etc.) and engagement metrics over the past 24 months
- Step 2: Survey integration - Incorporated a short feedback survey targeting active users, focused on how they discovered the platform, perceived value of learning content, ease of finding courses and reasons for early exit
- Step 3: Behavioural metrics summary - Merged traffic patterns with session-level metrics: bounce rate, time on page, page depth and source-type behaviour
IMPACT DELIVERED
- Realign social media and paid campaigns to target more relevant user segments
- Revise landing page structures based on friction points identified in survey feedback
- Focus SEO efforts on blog and help content, which proved most discoverable and engaging
- Improve content clarity to reduce bounce rate and drive deeper engagement
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