Build Response Curves in seconds to see how customer acquisition changes as marketing activity increases. Identify when response begins to slow and where additional spend produces diminishing returns.

Break performance out by campaign, channel, geography, team, or any other field in your dataset.

Perfect for operators running digital campaigns, local advertising programs, or growing marketing efforts who need to understand how response behavior evolves as marketing scales.

Minimum required columns

• Marketing Activity Date
• Customer Conversion Date
• Measurement Date

Have additional fields? Use them. Filter by channel, campaign, geography, service type, sales team, or any other attribute in your data.

If it’s in your file, it’s on your screen instantly.

DO YOU WANT TO KNOW?

• Which marketing efforts are actually producing customers?
• Whether increasing marketing spend is still driving growth?
• Which campaigns generate the fastest response?
• Whether certain geographies or customer segments convert better?
• Which marketing channels consistently underperform?
• How response timing changes across different campaigns?

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

Analyze how customer and account retention changes across time and identify where persistence begins to strengthen, weaken, or stabilize.

Instead of relying on blended retention metrics, the Retention Analysis Tool aligns cohorts to a shared starting point so businesses can compare churn, retention, expansion revenue, and customer performance across segments.

Break results out by channel, geography, product, service line, acquisition source, customer segment, location, or any other field in your dataset.

Perfect for recurring revenue businesses, multi-location service businesses, subscription models, portfolio companies, and growing companies trying to understand long-term customer behavior and operational stability across locations and customer cohorts.

Minimum required columns

• Unique Customer or Account Identifier
• Cohort or Start Date
• Activity or Status Field

Have additional fields? Use them. Filter by geography, product, acquisition source, service line, location, customer segment, or cohort.

If it’s in your file, it’s on your screen instantly.

DO YOU WANT TO KNOW?

• Which customer cohorts retain the longest?
• When churn is most likely to accelerate?
• Whether newer acquisition cohorts are stabilizing or weakening?
• Which products, channels, or geographies retain best over time?
• Where recurring revenue deterioration begins to appear?
• Which customer segments consistently generate long-term value?

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

Build People Curves to see how employee tenure develops across time and where attrition tends to occur.

Instead of relying on annual turnover metrics, People Curves reveal when employees actually leave—whether that happens in the first few months, after the first year, or later in their tenure.

Break results out by role, location, hiring cohort, manager, or any field in your dataset.

Perfect for growing businesses trying to understand hiring outcomes and stabilize workforce performance.

Minimum required columns

• Hire Date
• Separation Date
• Measurement Date

Have additional fields? Use them. Filter by role, location, department, manager, or hiring cohort.

If it’s in your file, it’s on your screen instantly.

DO YOU WANT TO KNOW?

• Which roles experience the highest turnover?
• When employees are most likely to leave after being hired?
• Whether newer hiring cohorts are stabilizing or leaving faster?
• Where attrition tends to spike across employee tenure?
• Which managers or teams consistently retain employees longer?
• Whether workforce stability is improving over time?

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