Attribution Model Comparison Calculator
Compare first-click, last-click, linear, time-decay, and position-based attribution models. See how each model distributes credit across marketing channels.
AOV, CLV, retention, and e-commerce analytics calculators. Browse our free analytics tools below — no sign-up required.
Compare first-click, last-click, linear, time-decay, and position-based attribution models. See how each model distributes credit across marketing channels.
Calculate your average order value (AOV) from total revenue and orders. Model AOV improvement strategies and their revenue impact on your store.
Calculate retention by cohort over multiple periods. Track how many customers from each acquisition month remain active in subsequent periods.
Calculate customer lifetime value (CLV) from AOV, purchase frequency, and lifespan. Set acquisition budgets and evaluate retention strategy ROI.
Calculate customer retention rate over any period. Measure how many starting customers remain active after accounting for new customer acquisition.
Calculate how product filter usage affects conversion rates on your e-commerce site. Compare filtered vs. unfiltered visitor behavior to quantify filter ROI.
Compare first-click and last-click attributed revenue per channel. Identify which channels drive discovery vs. which close the sale and find hidden value.
Calculate the monetary value of micro-conversions like email signups, account creation, and wishlist adds. Link intermediate actions to downstream revenue.
Calculate how often customers buy from your store. Divide total orders by unique customers to find average purchase frequency over any time period.
Calculate the percentage of customers who make more than one purchase. Benchmark against industry averages and measure the health of your retention efforts.
Calculate revenue per session (RPS) for your e-commerce store. Evaluate session-level monetization efficiency and compare traffic sources by revenue output.
Calculate revenue per visitor (RPV) from total revenue and unique visitors. Combines conversion rate and AOV into one holistic store performance metric.
Score customers on Recency, Frequency, and Monetary value (1-5 each) and assign segments like Champions, At Risk, and Hibernating for targeted marketing.
Calculate the average number of days between repeat purchases. Optimize email timing, reorder reminders, and retention campaigns based on buying cadence.