ACTUARIAL TOOLS
FOCUSED ANALYSIS FOR THE QUESTIONS THAT NEED MORE THAN A DASHBOARD

Dark Sky Data’s actuarial tools help teams analyze the patterns behind claims, cancellations, retention, response, and other performance questions that are difficult to answer with standard reporting alone.
Each tool is built for a specific type of analysis, so you can upload the data you already have, compare results across meaningful segments, and see how performance changes over time.
For broader questions across your data, the Dark Sky Data Intelligence Platform brings these capabilities into a larger AI-powered experience.
BUILT FOR DEEPER QUESTIONS
Dark Sky Data’s actuarial tools are designed for questions that go beyond standard reporting.
Use them to examine how claims, cancellations, retention, response, and other performance patterns develop over time, compare results across meaningful segments, and get a clearer view of what is driving the outcome.
Each tool focuses on a specific type of analysis, so you can go deeper without rebuilding the same work manually in spreadsheets.
EXPLORE THE ACTUARIAL TOOLS
LOSS RATIO CURVES
See how loss performance develops over time, compare results across meaningful segments, and identify where experience is improving or deteriorating. The Loss Ratio Curve helps you move beyond a single aggregate loss ratio by showing how performance changes across cohorts, products, dealers, vintages, or other dimensions in your data.

CANCELLATION CURVES
Track how cancellations develop over time, compare performance across cohorts, and identify where retention begins to weaken. Cancellation Curves help you see differences by product, dealer, administrator, lender, payment term, vintage, or other dimensions in your data so you can spot patterns that are easy to miss in aggregate reporting.

MARKETING RESPONSE CURVES
See how quickly prospects respond after outreach, compare response patterns across campaigns and segments, and identify where timing or audience differences are affecting performance. Marketing Response Curves help you evaluate results by mail date, campaign, lead source, customer segment, vintage, or other fields in your data so you can compare response behavior on a consistent basis.

CLAIM FREQUENCY CURVES
See when claims begin to emerge, how frequently they develop over time, and where one segment is behaving differently from the broader book. Claim Frequency Curves help you compare claim patterns across products, dealers, vehicle groups, vintages, or other dimensions in your data so unusual timing or concentration becomes easier to identify.

PEOPLE CURVES
See how individual performance compares across teams, locations, or other groups and identify where results are consistently stronger or weaker. People Curves help you compare performance patterns across employees, producers, managers, stores, or other people-based dimensions in your data so differences become easier to see and investigate.

RETENTION ANALYSIS TOOL
See how customers move through the lifecycle over time and identify where growth is being driven by retention, expansion, contraction, or churn. The Retention Analysis Tool helps you measure metrics such as NRR and CRR while comparing performance across cohorts, customer segments, products, acquisition sources, or other dimensions in your data.
