June 7th, 2026

V0.20.0 Beta

πŸ“Š Data Updates

1. Enriched Exhibitor Descriptions Exhibitor lists now include more complete company description data. This gives users better context when reviewing potential accounts, comparing exhibitors, and deciding which companies are worth prioritizing before an event.

2. Improved Exhibitor List Data Quality We updated and optimized exhibitor list data across supported events. The refreshed data improves coverage, consistency, and usability for event research, exhibitor matching, and downstream CRM export workflows.

3. Improved People List Data Quality People list data has also been updated and optimized. This improves the quality of attendee/contact discovery and gives users a more reliable basis for identifying the right people to research, enrich, and reach out to.

✨ What's New

4. Company Signals on Trade Show Exhibitor Lists Trade show detail pages now surface signal information in the exhibitor list. These signals help users understand recent company activity, momentum, and potential outreach angles directly inside the event workflow, instead of opening separate research tools for every company.

5. LinkedIn Activity on People Lists Trade show people lists now include LinkedIn Activity information. Users can quickly see whether a contact appears active, warm, or dormant on LinkedIn, helping sales teams prioritize people who are more likely to notice and respond to outreach.

πŸ›  Fixes & Improvements

6. Improved Exhibitor and People Recommendation Logic We optimized the recommendation logic for both exhibitors and people, making match results more reliable and better aligned with the user's ICP. This update reduces noisy recommendations and improves the usefulness of High Fit exhibitors and recommended contacts.

7. Full Exhibitor Match Analysis Lensmor now supports full-list exhibitor match analysis, expanding recommendation evaluation beyond a narrow subset of records. This gives the system a more complete view of the exhibitor pool and improves the quality of ranking, filtering, and recommendation explanations.