Semi-open topics now have alphabetically sorted keywords and a clearer layout, with keywords always visible and descriptions in an expandable section. Manual AI updates let you choose when to update topics — with unlimited updates.
We've doubled the number of free LLM Smart Column runs in every plan, so you can try out and refine more AI-powered columns before using credits.
The new limits apply automatically. Once you've used your free runs, each computed row costs 0.1 credits. See Credits for details.
When you set up a
Social Media datasource with keyword search, you now have two new options.
Max content per platform: Set a limit on how many posts are collected from each platform. This keeps one high-volume channel from taking over your dataset.
Collect related comments: Pull in the comments under matching posts as well as the posts themselves. This gives you the conversation around a topic, not just the original post.
You'll find both options when you create a new Social Media datasource.
Speed matters when you're digging through feedback — the less time you spend waiting, the more time you spend finding the insight that matters. We've optimized our database layer, delivering 2x–5x faster performance across the platform. Expect snappier load times on Reports and the Insight Agent, especially on large projects with heavy data volumes.
We're giving you more room to experiment with Smart Column and Topic Assignment: more included runs, and cheaper overage on top. Here's what's new.
Included LLM runs per row are doubling across the board:
And if you do go over, it's a lot cheaper now: overage pricing drops from 0.25 to 0.1 credits per row, on every plan.
Same story here. Included runs go from 4 to 6 on Enterprise, Team, and Agency plans, and overage pricing falls from 0.5 to 0.2 credits per row across all plans.
Nothing to do on your end — these upgrades are already live on your account, and they apply to existing projects and Smart Columns too, not just new ones.
Enterprise customers can now purchase additional credits directly under Settings → Billing → Manage credits — no need to go through your account team.
Choose a credit amount, confirm, and credits are added instantly.
Semi-Open mode just got significantly better for large tracking studies like brand trackers.
Import keywords directly — You can now import a keyword list into Semi-Open projects, making it much faster to set up and maintain large, structured topic collections.
Increased stability — We've improved how Semi-Open handles large volumes of short-text data, reducing inconsistencies in clustering results.
More configuration options in settings — New controls give you finer-grained tuning over how the algorithm groups and assigns topics, so you can match it to your specific data structure.
New to Semi-Open mode? Learn how it works →
You can now filter any column by blank — empty cells are no longer invisible to your filters.
Whether you're tracking down a missing date, a smart column that didn't populate, or a row with an identifier error, just select the "blank" filter and they'll surface instantly. No more hunting through your data manually.
You can now control exactly which columns report viewers see when you share a view.
What's new
Why it matters Share cleaner, more focused views with external stakeholders or specific teams — without exposing raw data columns that aren't relevant to them.
The Topic Sentiment insight element now supports comparing multiple segments side by side in a single view.
Previously, analyzing sentiment across segments required switching the segment filter back and forth. Now, when multiple segments are selected, the chart displays all of them at once, stacked by segment, so you can immediately see how sentiment on each topic varies across your audience.
What's new:
We've completely reworked how you create and manage segments in Caplena — making it faster, more flexible, and a lot more powerful.
The new Segment Editor gives you two ways to get started: manually or via AI prompt.
If you know exactly what you're looking for, the Manual path lets you build segments by combining filters — topics, categories, sentiment, rating, date range, and more. You get precise control over exactly which responses land in each segment.
Prefer to move faster? Use the new Create Through Prompt option: just describe what you're looking for in plain language, and Caplena will generate the segment for you. Great for exploring your data or quickly setting up common groupings without having to configure each filter by hand.
One of the most requested improvements: you can now create multiple segments in a single flow, rather than going back and forth through the editor one by one. Select the values you want to work with and create segments from them in bulk — a big time-saver when you're setting up a new project or reorganizing an existing one.
Once a segment exists, editing it is straightforward. You can update the name, adjust the filters, and pick a custom color from a full color picker (in manual- or in auto-assign mode) — so your segments are easy to tell apart at a glance in charts and tables.
You can also control visibility: choose which segments are shown or hidden in your views, keeping things clean when you're working with a large number of groups.
The updated Segment Editor is available now across all projects via Edit Master. Give it a try and let us know what you think.
We've optimized rendering for table-based insight elements — especially when displaying a large number of topics. If you've been using the "All topics" selection in your reports, you should notice significantly faster load times and smoother interactions.