The Cancellation Curve tool builds Cancellation Curves in seconds, using your raw data—by dollar amount or contract count. Quickly compare performance by month of origination, product type, term, agent, administrator, lender, or any other field in your file using our analytics tools built for VSC and home warranty marketers.

Minimum required columns:

• Origination Date
• Origination Amount ($)
• Cancel Date
• Cancellation Amount ($)
• Contract Term
• Date of Data Download

Have more fields? Great. Filter by anything: Product, Plan, Finance Term, Finance Company, State, Make/Model/Year, Agent, and beyond.

If it’s in your dataset, it’s in your control.

Build Response Curves in seconds, showing how quickly prospects respond to marketing efforts. Perfect for A/B testing. View response rates by days since mailing, broken out by product, mail piece, list source, state, agent, or any other field you upload—with analytics tools built specifically for VSC and home warranty marketers.

Minimum required columns:

• Mail Date
• Response Date
• Date of Data Download

Have more fields? Use them. Filter by Campaign, State, Mail Type, Agent, Channel, and more.

If it’s in your file, it’s at your fingertips.

• Are expensive leads actually paying off?
• Which mailings drive the fastest response?
• Does response rate differ by product, plan, or term?
• Are certain states or vehicle types converting better?
• Which lead sources consistently underperform?
• Is one agent or seller driving more conversions than others?
• How does response timing vary across different campaigns?

If the data’s in your file, the answers are just a few clicks away.

Build People Curves in seconds to visualize how long people stay, when attrition accelerates, and where workforce stability breaks down. Designed for marketing organizations that rely on agents, sales teams, contractors, and support staff at scale.

Instantly see retention patterns by role, hiring cohort, channel, manager, geography, or employment type—using only your raw data.

People Curves make workforce risk visible early, so marketing leaders can separate execution problems from structural churn before performance suffers.

Minimum required columns:

• Employee ID
• Start Date (Hire or Engagement Date)
• End Date (Termination or Exit Date, if applicable)

Have more fields? Even better. Filter by Role or Employee Type, Department or Team, Employment Class, Manager, Location, Hiring Cohort, Shift, Cost Center, Tenure Band, or beyond.

If it’s in the workforce data, it’s on your screen—instantly.

• Which sales or marketing roles churn the fastest?
• How retention differs between inbound, outbound, and partner-driven teams?
• Whether newer hiring cohorts are stabilizing—or failing faster?
• Where attrition spikes—Month 2, Month 4, or Month 6?
• Which managers or teams consistently retain talent longer?
• How contractor retention compares to full-time sales staff?

If the data’s in your file, the answers are just a few clicks away.