Time Series

Time Series feature shown in the Planhat platform

Time Series

See trends, compare, and act in real time

See trends, compare, and act in real time

A lot of businesses struggle to take decisions in CRMs that only give a point-in-time snapshot, telling you where you are today, without context. To understand direction and momentum you need native trends universally available for analysis and action. Planhat stores health scores, revenue, adoption, and any custom metric as living time-series that can be queried, visualised, and compared directly in the platform.

01

Trigger alerts on trajectory changes

Plot recurring revenue, health delta, or product usage as smooth trajectories and feed rising risks or falling adoption into alerts and workflows.s

02

Compare cohorts and periods side-by-side

Benchmark onboarding speed for 2024 vs. 2023 acquisitions, EMEA vs. Americas conversion rates, or ticket SLAs month-over-month using calculated metrics, funnel widgets and one-click Date Slicers.

03

Reconstruct any past state for reporting and audits

View exact revenue, health, adoption, or portfolio composition at any previous point in time – end-of-quarter snapshots, board reporting, or compliance requests – without manual reconstruction or exports.

Discover the full power of Time Series

Discover the full power of Time Series

Discover the full power of Time Series

FAQ

FAQ

FAQ

Why does Planhat use a time-series architecture rather than a snapshot-based model?

How does time-series data enable automated commercial operations at scale?

How does the time-series model enable teams to act on trends rather than just observe them?

How does Planhat handle high-volume data from multiple sources without losing clarity?

How does the time-series foundation support AI-driven retention and predictive analytics?