Traditional LMS analytics report 'customer completed onboarding.' Beetsol's analytics show whether those customers found what they needed, where they got stuck, and whether the training is reducing tickets and accelerating adoption.
Activity metrics like completions and logins are lagging indicators. They tell you something happened, not whether the customer is actually succeeding with your product.
With Beetsol
Four categories of signals, split by internal teams and external customers, so you can see exactly where to act.
Unmet demand
Top searches with no answer, trending questions, terminology mismatches between your content and how customers actually ask
Friction points
Where customers abandon training, which sections cause exits, timestamps where engagement drops
Needs attention
Compliance gaps, overdue training, customers inactive on key modules
Action loops
Weekly trend digests by email, nudges for compliance and inactivity, content creation directly from any search gap
Plus standard course and learner reports for compliance and audit that every LMS still needs to handle.
"Why is onboarding taking 14 days?" → 70% of customers drop off at the integration video. The explanation breaks where credentials get set up.
"Which customers haven't engaged with training in 30 days?" → 28 customers across three accounts went dark — none completed the advanced-features module they were enrolled in.
"Why are support tickets high?" → 40% of search queries return zero results for documented features. Customer vocabulary does not match your content's.
When 200 customers search "how to automate reports" and find nothing, that's not only a training gap but also product feedback at scale. Teams can use these signals before they reach NPS, escalations, or churn.
The AI Intelligence layer
As AI assistants handle more customer queries, your analytics show which questions are being answered correctly and where they reveal content gaps. Search data and AI performance become the same dashboard.
Pairs with
Where the search queries come from.
Customer training analytics reduce tickets by surfacing what customers are searching for but can't find. When your dashboard shows 17 searches for 'bulk export' returning zero results — that's a content gap to fill.
Yes. Customer training analytics correlate engagement with feature usage from tools like Mixpanel, Amplitude, or Pendo. Frequent searches for a feature with low usage indicate a gap — either the functionality is difficult to locate, or the training doesn't explain how to use it.
Vanity metrics tell you what happened: 25% of customers completed onboarding. Actionable analytics show what the other 75% did instead: they searched for answers as they hit specific problems, getting what they needed without sitting through the course. One reports activity. The other shows how customers learn.