Online Course Engagement Rates

Nobody finishes eLearning courses. Until they actually have to do something inside them. I’ve been in L&D long enough to know the uncomfortable truth: We spend weeks building courses… and 15–20% completion rates are considered “normal.” Eight months ago, we tried something different. Instead of adding more content, we introduced AI role play — only for modules where people needed to practice, not just watch. Here’s where it worked: → Sales onboarding Reps practiced cold call openings with an AI “skeptical executive.” No more burning real leads while learning. → Customer de-escalation Simulated angry customers who interrupt, push back, and get emotional. First time training actually felt real. → Manager conversations New managers practiced difficult feedback scenarios. Highest voluntary repeat rate we’ve ever seen. The results: Completion rates: 18% → 87% Learners repeated sessions 3–4 times voluntarily New hire ramp time dropped by ~50% Assessment scores improved significantly But here’s what didn’t work: ❌ Over-scripted scenarios ✔️ Switching to personas (mood, behavior, objections) changed everything ❌ No context before simulation ✔️ Adding short intros + scoring criteria improved engagement Also — not everything needs role play. Knowledge transfer still works better as reference content. What I’d do again: → Start with high-stakes scenarios (where teams are already struggling) → Get managers involved early → Keep everything inside your LMS → Track business impact, not just completion We’ve been using AI role play inside our LMS setup, and it’s been one of the few changes that actually moved both engagement and performance. If you’re curious to explore how this works in practice, here’s the tool we’ve been using: 👉 https://lnkd.in/dpuh43WA And if you want a breakdown of how to design high-performing role play scenarios (personas, scoring, setup), comment “ROLEPLAY” and I’ll send it over. #roleplay #airoleplay #salestraining #sales #corporatetraining

A few years ago, I worked with an online education platform facing challenges with student engagement. While they had a significant number of users enrolling in courses, they struggled with low participation rates in course discussions and activities, leading to a decline in course completion rates. The platform needed to identify the causes behind low engagement and implement strategies to encourage more active participation. Improving Student Engagement Using Data Analytics 1️⃣ Analyzing Engagement Data We began by analyzing user interaction data, focusing on metrics such as time spent on the platform, participation in discussions, video completion rates, and quiz scores. Using SQL, we aggregated the data to identify patterns and pinpoint where students were losing interest. SELECT student_id, course_id, AVG(time_spent) AS avg_time_spent, COUNT(discussion_post_id) AS posts_made, AVG(quiz_score) AS avg_quiz_score FROM student_activity GROUP BY student_id, course_id; 🔹 Insight: We identified that students who interacted with course discussions and quizzes had higher completion rates, while others dropped off quickly. 2️⃣ Building a Predictive Model We then created a predictive model to determine which students were at risk of disengaging based on their activity patterns. The model incorporated features such as time spent on the platform, participation in discussions, and progress through the course material. # Pseudocode for Predictive Model def predict_student_engagement(student_data): model = train_engagement_model(student_data) predictions = model.predict(student_data) return predictions 🔹 Insight: This model helped us flag students who were likely to disengage early, allowing for timely interventions. 3️⃣ Implementing Engagement Strategies Based on insights from the model, we implemented strategies such as sending personalized emails with reminders, offering incentives for completing activities, and increasing interaction opportunities through live Q&A sessions. # Pseudocode for Engagement Follow-Up def send_engagement_reminder(student_data): if model.predict(student_data) == 'at_risk': send_email_reminder(student_data) 🔹 Insight: Personalized engagement and incentives led to an increase in student participation. Challenges Faced Identifying meaningful engagement metrics that were predictive of success. Finding the right balance between engaging students without overwhelming them. Business Impact ✔ Student engagement improved, leading to higher completion rates. ✔ Retention rates increased, as more students continued with courses. ✔ Revenue grew, driven by more active and satisfied students. Key Takeaway: By analyzing user activity and leveraging predictive analytics, businesses can identify disengaged customers early and implement strategies to improve engagement and retention.

If Your Learners Aren’t Engaged, Nothing Else Matters.👎 You can build the world’s most beautifully designed training program. But if learners don’t finish it, don’t remember it, and don’t apply it? Then it’s just content. Not learning. And that’s exactly where many L&D teams are stuck. Here’s what the data shows: * 70% of training content is forgotten within 24 hours * Engaged learners are 3x more likely to apply what they’ve learned * High engagement = higher productivity, stronger retention, and real business impact So, how do the best L&D teams drive engagement...and keep it? These are the three biggest game-changers we’re seeing in 2025 👀👇 1️⃣ Make Learning Feel Personal If a course doesn’t connect with someone’s day-to-day role, they’ll disengage...𝑭𝒂𝒔𝒕. Relevance is 𝘦𝘷𝘦𝘳𝘺𝘵𝘩𝘪𝘯𝘨. What forward-thinking teams are doing: → Adapting content based on role, skill level, and performance
 → Letting AI adjust learning pathways in real-time
 → Giving learners more say in their own development ✅ Teams making this shift are seeing 2x to 3x higher engagement. 2️⃣ Make It Impossible to Just Click Next No one remembers a 60-slide eLearning deck. Passive content is forgotten content. What’s working now: * Scenario-based challenges that mimic real decisions * Interactive formats like quizzes and simulations * Collaborative elements that get people talking and solving together ✅ One SME switched to interactive compliance training and jumped from 20% to 92% completion overnight. 3️⃣ Make Learning Continuous When learning is personal, interactive, and continuous, people pay attention. Annual training? It’s forgotten before the next login. The best teams are shifting to learning that’s consistent, quick, and embedded in the flow of work. How they’re doing it: → Microlearning delivered in bite-sized bursts each week → Spaced repetition to strengthen memory → Turning learning into a habit, not a one-off ✅ One team replaced a yearly course with weekly 5-minute refreshers — and saw engagement and on-the-job application soar. Engagement isn’t a “nice-to-have” in L&D.
 It’s the foundation of every successful learning strategy. When learning is personal, interactive, and continuous - people pay attention. And when people are paying attention, performance improves. If you’re looking to future-proof your L&D approach, this is where to begin. But what’s stopping most teams from getting it right?

40,000 students enrolled. But one question kept bothering us. How many would still attend after #Day 20? A few years ago at Motion Education Pvt Ltd we launched a large online batch with nearly 40,000 students. From the outside, it looked like scale. But when we studied the data carefully, a different pattern appeared. Across most online learning systems: • Attendance drops to 30–40% within 15–20 days • Students begin strong but slowly lose #consistency • Doubts remain in chat boxes with limited interaction And somewhere along the way, many students quietly start thinking: “Shayad online se nahi hoga" But after analysing the pattern deeply, we realised something important. The problem was not the student. The problem was the environment. So we designed an experiment. We called it the #Anushaasan Batch. The objective was simple: Can an online system replicate the discipline of Kota’s offline ecosystem? To test this, we redesigned several structural variables. • Limited batch size for deeper teacher interaction • Camera-on classes for accountability • Live polls during lectures for participation • 600+ structured classes annually • 100+ exam-pattern tests aligned with Kota’s offline system • 30% lecture time dedicated to doubt solving Then we measured outcomes over a full academic year. Typical Online Batch • 30–40% attendance after a few weeks • 40% class retention Anushaasan Batch • 90–95% sustained attendance • 85% retention rate • 30% class time in doubt solving We also introduced a behavioural incentive. Students #earn ₹100/day as a streak reward for consistent attendance. So far: • 300+ students maintaining attendance streaks • ₹1 crore+ already distributed as learning rewards Some students have earned ₹20,000+ simply by showing up consistently. But the real impact is not the cashback. It is the #discipline. And in competitive exams, success rarely comes from bursts of motivation. It comes from something much simpler. Anushaasan. Discipline practiced daily. #Discipline #OnlineLearning #Education

3 weeks ago, I made a post analyzing when students engage the most. Since then, I've experimented based on those findings. Here are the results. For those of you that don't know, MeetYourClass publishes hundreds — if not thousands — of posts to Instagram a day, 7 days a week. That gives us the ability to see exactly when prospective students are commenting and engaging at scale. TL;DR From Previous Findings: - During weekdays, students are most engaged from 10AM–9PM - During weekends, 10AM–5PM - However, Friday acts more like a weekend, and Sunday acts more like a weekday from an hourly engagement standpoint MeetYourClass automatically schedules our posts on a set cadence. Previously, regardless of the day, we posted between 6AM–8PM based on the timezone. After looking at the data, it was clear we could run some optimizations. All I did was change our posting hours to mirror student engagement patterns by day. Wednesdays now run 9AM–9PM. Fridays and Saturdays run 10AM–6PM. I also shifted some weekend posts to execute more volume on Tuesdays and Wednesdays. After ~3 weeks of data, we're seeing our average comments per post increase by 18.2%. Is this a DRAMATIC change? No. But when it comes to prospective student engagement, it's a game of numbers. 20% improvements compound quickly. There's still room for improvement, but not bad for about an hour of work. So, what are the takeaways? - In yield season, volume is high and running experiments is easy. When's the last time you ran an A/B test? It's a good reminder that you can just go do things. - Despite shifting posts to a more Wednesday-focused calendar, the majority of prospective student engagement is still happening outside the traditional M–F, 9–5. Big opportunity for those who can engage students effectively during that time. At the end of the day, the data is there if you're willing to look for it. There are infinite ways to improve how you engage your prospective students, and clearly no one size fits all. Strategies should continue to adapt throughout the year and maximize your opportunity to engage your future class. I've linked the original post in the comments if you want the full breakdown.

How Social Media Revolutionised Online Training in Premium Retail 👇 Social media has transformed the way humans learn fast, visual, mobile, and emotionally driven. Today, 80% of global digital consumption happens on mobile, and 65% of Gen Z and Millennials say they “learn new skills primarily through short videos” (YouTube & TikTok Insights, 2024). This behaviour has redefined expectations for online training: premium brands can no longer rely on static modules or heavy slides. They must design learning the same way they design content for digital campaigns cinematic, vertical, swipeable, and anchored in authentic storytelling. In premium retail, this evolution directly impacts performance: brands adopting social-media-inspired learning see 45–60% higher completion, 35% higher retention, and 2–4× more re-engagement across the year. Social platforms haven’t just influenced training they’ve set the new standard. 🌟 Key Takeaways: What Social Media Has Taught Us About Modern Training 👉 Premium Design is Non-Negotiable Visual-first training increases learner engagement by up to 5× compared to text-heavy formats (Adobe Learning Report, 2024). Luxury brands that adopt magazine-style layouts see 30% more voluntary revisits. 👉 Mobile-First is the New Standard 80% of L&D content is consumed on smartphones. Vertical formats boost completion rates by 42% vs. horizontal. Micro-interactions (swipe, tap, scroll) reduce drop-off by 28%. 👉 Video is the Hero Format 72% of employees prefer video over text for learning. Short videos (<90 sec) improve retention by 53% compared to longer content. Brands using daily/weekly video capsules report 2× faster onboarding. 👉 Nano & InstaLearning Keep Knowledge Fresh People forget 50% of new information within 24 hours and 80% within 30 days. Nano-learning reduces forgetting by up to 60%. Drip-fed content increases year-round engagement by 40–55%. 👉 Storytelling Creates Emotional Engagement Story-led modules generate 22× more recall than factual explanations alone (Stanford Research). Emotional content increases brand affinity by up to 44%. 👉 Putting a Face Behind the Information Expert testimonials increase trust and retention by up to 38%. Modules with human presence (designer, product expert, store manager) drive 50% more completions. 👉 Messages & Notifications Drive Momentum Push notifications can increase re-engagement by up to 300%. Weekly nudges (not daily) lead to the highest sustained participation (+47% over 3 months). 👉 A Sense of Community Shapes Behaviour Social features (likes, comments, challenges) increase participation by up to 55%. Leaderboards boost performance by 18–25% in retail teams. Peer-to-peer tips can contribute to 10–15% uplift in conversion behaviours. Always-On Training Wins Over Annual Blast Models 👉 Continuous micro-actions throughout the year lead to: Retention: +45% Skill application: +32% Sales uplift on key categories: +5–12%

L&D leaders face an impossible choice: speed, scale, or engagement. Pick two. Two global L&D executives just proved that's a false choice. BACKGROUND Lisa Sims, Executive Director of Learning & Strategy Operations at Novartis, accomplished something that would make most L&D leaders quit: double training volume while maintaining quality across 35,000 global learners. Her "crazy" solution? Deliver training via text messages. Sales leaders called it "intrusive." But Lisa ran the pilot anyway. The results broke every assumption about corporate learning: - 150+ programs delivered to 35,000 learners in 6 months (doubling prior year volume) - 80%+ engagement rates vs. industry average of 8% - Survey response rates jumped from 10% to "robust data" overnight - Course creation time: hours instead of 6-week cycles "People check their LMS once every six weeks," "But they check Teams and text messages every six minutes." - Michael Ioffe Greg Draos, Sr. Director Learner Experience at Moderna saw a similar pattern.  At Moderna, speed is the norm. For him, using tools like Arist isn't just an advantage; it's a necessity to keep up with the pace of the business. His team now builds entire courses in hours using AI, then delivers them directly in Microsoft Teams where employees already live. TAKEAWAY Both discovered something revolutionary: when you meet learners in their flow of work instead of pulling them out of it, engagement doesn't compete with speed and scale. It amplifies them. These leaders are proving the "impossible triangle" was just bad assumptions about where learning should happen. Welcome to flow-state learning. The old model: Build courses and hope people find time. The new model: Meet people where they already are. Want to see how teams like Lisa and Greg’s are hitting 80%+ engagement rates? See the full video in the comments

The data there is clear: “The completion rate of online courses is between 5–15%, and for MOOCs, it is 3–6% only”. That is dreadful. Every online program has that problem where people pay for something, and rarely make time, since people are not constrained by time and geography like in the physical courses to be somewhere at a specific time. To solve that problem, Tekedia Institute does not give unlimited time or lifetime access, unlike most online courses where there is no end date, to finish the program. If people know there is a deadline or an expiration date, they will make time. Yes, if you tell them that your program has no expiration date, they will never make time for your program, and that hurts your mission. Simply, if they pay and never make time to study your courseware, they will have nothing useful to say about your program when people ask them for feedback. The implication is that you cannot get word of mouth referrals. Why this post? Most times, policies we have in online platforms are the reasons we’re not growing, even though those policies may look “customer-friendly”. But look deeper, you are hurting those same customers. In Tekedia Institute, after we looked at data, we discontinued lifetime access, and forced our Learners to complete our programs within a year of registration even though some of those programs are designed for 3 or 2 months; today, our completion rate is hitting close to 90%. 

Why the Current Wave of Online Courses Is Failing For Most — and What Comes Next Here’s what happened: Over the past few years, the internet has been flooded with online courses promising massive results in record time. And yet… completion rates are abysmally low (many reports put it under 10%). People are signing up, but not showing up — and they’re burning out, not breaking through. Here’s what most people are missing: - The problem isn’t that people are lazy or uncommitted. - It’s that most courses are built to inform, not to transform. They hand you a firehose of content — but offer no built-in accountability, no real-time feedback, and no support system to get unstuck when you hit friction. Information alone doesn’t create transformation. Implementation does. And most online courses skip the hardest (and most human) part — helping learners follow through. Here’s what this means for our industry: - The future won’t belong to the creators who can make the biggest courses… - It’ll belong to the ones who build the most immersive, supportive, action-focused learning experiences. - People don’t want another video vault — they want clarity, coaching, community, and quick wins. - The new currency isn’t content. It’s completion. Whoever solves that problem will win. Here’s what you should do about it: If you’re creating digital products or courses, shift your focus from more modules to more momentum. - Build in live touchpoints (Q&As, feedback loops) - Design quick, confidence-building wins early on - Pair content with community — even a small one - Track progress and celebrate milestones Because the future of digital learning won’t be about how much you teach. It’ll be about how far your students actually go. PS: Alongside being on Amazon, my ebook Sell What You Know is now available on Selar for easier access. You can grab it directly from the link in the comments. #365DaysConsistencyChallengeWithFortuna #DigitalProducts #CreatorEconomy #BookLaunch  #SellWhatYouKnow