What's new: Spring highlights 2026

Orin helps to keep the conversation flowing  

Orin now automatically responds in the language you use to ask a question. If you switch languages during a conversation, Orin seamlessly follows your lead, creating a more natural and accessible experience for multilingual teams. Regional preferences are also respected throughout Orbit, ensuring dates, numbers and currencies are formatted according to your configured locale settings. For generated summaries, including dashboard and campaign summaries, Orin uses the language configured in your Orbit regional settings.

Audience creation becomes more flexible with support for exclusion criteria. Previously, Orin could only build audience definitions using inclusion rules, limiting the complexity of audience requests. You can now describe both inclusion and exclusion criteria in a single prompt, allowing Orin to create audiences that exclude specific geographies, behaviours, contact preferences and more, alongside your positive selection criteria.

Orin can now create audiences using dynamic date logic, helping audiences stay relevant over time without requiring manual updates. Supported date options include predefined date ranges such as today, yesterday and last year, custom ranges combining relative and fixed dates, relative date rules based on days, weeks, months or years and fixed dates and date ranges. This enhancement makes it easier to create always-current audiences for recurring campaigns and reporting.

Enhanced dashboards, pattern analysis, and behavioural modelling for deeper insights

Dashboard users can now exclude categories from filters in dashboard charts. Excluded values are automatically added as "Is none of" conditions, making it faster to refine audiences without manually editing filter definitions. Multiple exclusions are grouped together logically, ensuring filtering behaves as expected while remaining easy to understand.

FastStats pattern matching now supports time markers, enabling transactional behaviours to be identified within specific periods regardless of where they occur in an individual's history. Time markers add a new level of flexibility to behavioural analysis, making it easier to uncover meaningful trends and lifecycle journeys.

Behavioural modelling can now analyse selection scenarios for both actions and inactions. Previously, modelling required an active event, such as a campaign response. You can now model inactive behaviours, such as the absence of a response, and optionally follow these with subsequent events. These enhancements provide a richer understanding of customer behaviour and improve predictive modelling opportunities.

FastStats now supports multi-factor authentication (MFA) using one-time passcodes generated by authenticator applications such as Microsoft Authenticator and Google Authenticator. By requiring both a password and a time-limited verification code, MFA provides additional protection against password theft, credential reuse and brute-force attacks. Users can enrol themselves by scanning a QR code from the Manage OTP option within Change Password settings.