Release 25.01 – Post Cards Widget, Bulk Selecting, and Ad Preview

Our latest release (25.01) brings greater efficiency and new ways to visualize your data. With bulk selecting across all tables, an interactive Ad Preview, and the new Post Cards widget, analyzing and managing your data just got a whole lot easier. Here’s what’s new:

Post Cards Widget – Visualizing your Social Media Posts

With the new Post Cards widget, you can now display social media posts directly in your custom dashboards, giving you a more visual way to track content performance. This makes it easier to analyze engagement trends and compare different posts at a glance, helping you gain better insights into your organic social media efforts.

You can manually select the posts you’d like to display, or let the widget do the work by automatically pulling in your top-performing posts based on the metric of your choice. For example, you can display the top 3 posts by impressions, top 5 posts by clicks, or up to 9 posts depending on the widget size. This flexibility ensures you always have a clear overview of your best content.

Additionally, you can filter posts by tag, ensuring that the widget only displays posts from a specific category, campaign, or theme. This allows you to compare top-performing posts within a specific segment, making it even easier to analyze content performance based on your own tagging system.

Bulk Selecting and Bulk Tagging in All Tables

Managing large datasets is now much more efficient! Bulk selecting is no longer limited to Ad Performance—it’s now available across all tables. This means you can quickly select multiple rows at once and apply bulk tagging, making workflows smoother and reducing time spent on repetitive actions.

Ad Preview in Data Tables

No more clicking around to check your ad creatives—simply hover over an ad in the data table to preview it instantly! This makes it faster and easier to review how your ads appear across platforms without leaving the page.

This release focuses on streamlining workflows and improving visual analysis across your data. As always, we’d love to hear your feedback!