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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Why Completions Don't Matter for Customer Training

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

What matters: Did they find the answer? What did they search but couldn't find? Where did they drop off? Which training drives feature usage?

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: One company discovered customers searched "API rate limits" 47 times with zero results. Documentation existed as "Request Throttling & Usage Quotas." They created a 2-minute video. Searches dropped 80%, support tickets fell 33%.

Customer training analytics radar identifying content gaps based on what users search for but cannot find.

Analytics That Answer Business Questions

Four categories for customer training:

Content Gap Detection

What customers search with zero results, trending questions, terminology mismatches

Search Performance

Which content resolves queries, which creates confusion, search-to-resolution time

Drop-Off Analysis

Where customers abandon training, which sections cause exits, optimal content length

Outcome Correlation

Which training drives product adoption, feature usage patterns, time-to-value improvements

Customer Training Analytics
That Prove ROI

For customer training, completion rates don't matter. What matters is whether training reduces support costs, accelerates adoption, and prevents churn.

That's the difference between activity metrics and business outcomes.


See customer training in action →
Customer Training Analytics

Analytics that show what to fix, and why it matters:

modular learning
deep search
learning inside your product
track skills
modular
analytics
Support deflection tracking

See which training modules reduce support tickets for specific topics. One pilot customer discovered that customers completing "Troubleshooting Common Errors" submitted 35% fewer tickets in their first month.

Search gap analysis

Beetsol shows exactly what customers search for but can't find. These gaps reveal missing content. Add a 2-minute video answering a common search, and watch both searches and support tickets drop.

Adoption correlation

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

Drop-off detection

See precisely where customers abandon training. If 60% drop at 1:30 in a video, that moment needs fixing. Beetsol shows you the exact timestamp so you know what to improve.

Customer segment performance

Compare training engagement between enterprise and SMB customers, trial users and paid customers, or any custom segment. Optimize content for each audience.

ROI visibility

Traditional LMS platforms report "80% completed onboarding." Beetsol reports "Customers who completed onboarding submitted 40% fewer support tickets and adopted features 2.5× faster."

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 automation guide have 3× higher feature usage

"Why are support tickets high?" → 40% of searches return no results for documented features

Dashboard showing training analytics transforming learning metrics into clear business outcomes and adoption charts.

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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