From Generic Courses to Personalised Learning Paths
AI Learning Platform
AI-enhanced online course platform for accountants featuring personalised recommendations that increased subscription renewals by 25% and revenue per user by 30%.
Book a Case WalkthroughAn online education provider offering professional development courses for accountants was experiencing stagnant growth. Despite a comprehensive course library, students struggled to find relevant content, leading to low engagement and high subscription churn.
The Challenge
Generic course catalogues and one-size-fits-all recommendations meant students often abandoned the platform before finding courses that matched their career goals and skill gaps.
- Students overwhelmed by large course catalogue without clear guidance on what to take next
- Low course completion rates as learners enrolled in content that didn't match their level
- High subscription churn due to perceived lack of value and relevance
- No visibility into individual learning progress or skill development
- Manual curation of learning paths unable to scale with growing user base
Our Solution
Softblues integrated an AI-driven recommendation system that analyses each learner's role, experience level, completed courses, and career goals to suggest personalised learning paths. The system continuously adapts based on engagement patterns and assessment results to optimise the learning journey.
- Personalised course recommendations based on role, experience, and career goals
- Adaptive learning paths that adjust based on progress and assessment results
- Skill gap analysis identifying areas for professional development
- Engagement tracking to optimise content delivery and timing
- CPD (Continuing Professional Development) tracking for certification requirements
Built with Enterprise-Grade Technology
Goals and Objectives
The client came to us with clear objectives to transform their operations.
Increase Subscription Renewals
Boost yearly subscription renewals by delivering more relevant and valuable learning experiences
Grow Revenue Per User
Increase average revenue through better engagement and additional course purchases
Improve Course Completion
Help learners finish courses by recommending content matched to their skill level
Personalise Learning Journeys
Create individualised learning paths based on career goals and skill gaps
Scale Content Curation
Automate personalised recommendations that previously required manual effort
How It All Works Together
Recommendation Engine
Hybrid recommendation system combining collaborative filtering (what similar learners enjoyed) with content-based filtering (matching course attributes to learner profiles) for accurate suggestions.
Learner Profile System
Dynamic profiles capturing role, experience level, completed courses, assessment scores, and stated career goals. Profiles update continuously based on platform interactions.
Adaptive Learning Algorithm
Machine learning model that adjusts recommendations based on engagement patterns, completion rates, and assessment performance to optimise each learner's journey.
Value and Impact Delivered
Measurable improvements across every dimension of operations.
Subscription Renewals
Increased yearly subscription renewals and new sign-ups through personalised learning experiences.
Revenue Per User
Grew overall revenue per user by recommending relevant additional courses and learning paths.
User Engagement
Higher engagement rates as learners found courses matched to their interests and skill level.
Course Completion
Improved completion rates by guiding learners to appropriately challenging content.
User Satisfaction
Enhanced satisfaction through personalised experiences that deliver clear professional value.
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