See What Customers Search But Can't Find

Traditional LMS shows who completed courses. Beetsol shows what customers searched for but couldn't find — so you fix content gaps before they hurt adoption.

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LMS analytics and reporting
analytics and reporting dashboard

Why Completions Don't Tell the Full Story

Customers don't care about completing courses. They care about solving their problem and adopting your product.

The metrics that matter for customer training are outcomes: Did they find what they needed? Did it accelerate feature adoption? Did it prevent a support ticket? These are the signals that connect training investment to revenue — and the ones traditional LMS analytics completely miss.

Traditional platforms report '80% completed onboarding.' Beetsol reports 'Customers who completed onboarding submitted 40% fewer support tickets and adopted features 2.5x faster.' That is the difference between an activity metric and a business outcome.

Gap Detection Analytics

See in real-time what customers search for but can't find. Our AI Skill-Tagging Engine makes search more accurate by indexing content by functional topics — so when search fails, it's a true content gap, not a search limitation.

Example: Your dashboard shows 83 customers searched "bulk import" this month with a 12% success rate. That's 73 potential support tickets — or churn signals — from a single content gap. Fix it with one 2-minute video module. Next month, success rate hits 91% and related tickets drop 40%.

From Training Analytics to Product Intelligence

Search gap data doesn't just improve training — it improves your product. When 200 customers search "how to automate reports" and find nothing, that's not a training gap. That's product feedback at scale.

Beetsol surfaces these signals automatically, giving product teams a direct view into what customers need but can't find — without waiting for NPS surveys or support ticket analysis.

This is the difference between training analytics (who completed what) and product intelligence (what do customers actually need).

See how to measure these outcomes →

Analytics That Show What to Fix

📉 Drop-Off Detection

See precisely where customers abandon training. If 60% drop at 1:30 in a video, that exact moment needs fixing. Don't guess — use timestamp-level data.

🚀 Adoption Correlation

Connect training completion directly to feature usage. Do customers who watch "Advanced Reporting" actually build reports? If not, your training isn't working.

🛡️ Support Deflection

Track which modules actively reduce support tickets. Prove to your CFO that customers who complete onboarding submit 35% fewer tickets in their first month.

👥 Segment Performance

Compare training engagement between Enterprise and SMB, or trial users vs. paid customers. Optimize your content paths for each specific audience.

From Metrics to Business Decisions

"Why is onboarding taking 60 days?"
→ 70% drop off at integration video (too long).
"Which training drives adoption?"
→ Customers who complete the automation guide have 3× higher feature usage.
"Why are support tickets high?"
→ 40% of searches return no results for documented features.
See customer training in action →

Analytics Feature — FAQ

Drop-off points, failed searches, content gaps, repeat consumption, and differences between customer segments.

They reveal what customers are searching for but can’t find, allowing teams to fix issues before tickets are created.

Yes. Training data can be correlated with product usage to show which learning experiences drive feature adoption.

Vanity metrics show what happened. Actionable analytics show where learning breaks down and what to fix next.
See what customers search for but can't find.

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