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Content analytics

See what people find. Understand what gets used.

Review recorded searches, content views, downloads and inserts. Use the activity Pickit captures to improve your library and understand how people access its content.

A closer look

Recorded activity. Useful questions.

Learn from what people look for.

Review search queries, search volume and average result counts. If people keep searching for a product name but find few results, check whether the content is missing or simply named differently. Update the material or metadata, then review the same search again.

Check the content before creating more

Look for unfamiliar names, missing tags and content gaps. Use what you learn to update metadata or prepare missing material.

Combine signals with expressed needs

Read requests alongside recorded activity and user feedback. If requests become fewer, check whether people can complete the intended task; fewer messages alone do not show that self-service is working.

Is the intended audience using the content?

After introducing a presentation library, review recorded activity from the intended audience and ask a few colleagues to complete a real task. Use both to decide whether the next step is better content, clearer access or a more useful introduction.

Top assets and destinations

Review top assets by recorded usage, inserts or downloads, with relevant library, document and slide filters. Explore views of libraries, collections and Boards alongside the assets.

Inspect an individual asset

Review a file’s recorded previews and downloads to understand interest in that material.

Understand how people reach the content.

Review activity by channel and distinguish signed-in users from anonymous visits. Use your knowledge of the rollout to put the figures in context: a content owner preparing a library is doing different work from an employee or partner using it.

Channels and activity patterns

Review the available channel, view-type, daily activity and country breakdowns for your selected period.

Signed-in and anonymous activity

Explore available user statistics, returning-user breakdowns and session lengths. Administrator activity during setup can help explain a busy period, but does not by itself establish use by the intended audience.

Compare the periods that matter.

Pickit Insights gives administrators a view of recorded DAM activity for a selected period. Use a consistent comparison to understand what changed around a launch or library improvement.

Choose the reporting period

Choose a reporting period and compare it with the preceding period, using calendar dates or a custom range.

Compare like with like

Compare the same channel and metric across relevant periods, taking launches and seasonality into account. A partner using a seasonal campaign kit and an employee preparing presentations every week have different reasons to return.

Customer story

Core Health & Fitness

Core Health & Fitness identified missing usage feedback as a problem in its old system and used Pickit to gain visibility into downloads and search demand.

Read the customer story

A few useful answers.

What does Insights report?

The DAM dashboard includes recorded user activity, views, downloads, insert reporting, channel distribution and search analytics. It also provides asset, Board and collection reporting.

Can we compare reporting periods?

Yes. The dashboard supports a selected period and comparison with the previous period. Compare the same kind of activity and keep the filters consistent.

How should we interpret the reports?

The reports cover activity recorded by Pickit. They do not measure every later use of downloaded files, time saved or revenue impact. Anonymous visits are separate from identified users, and sessions record visits rather than completed tasks.

Learn what your library needs next.

Explore how recorded content activity can guide a practical improvement for your teams.