Track customer acquisition cost, lifetime value, payback period, and contribution margin by cohort and channel with profitability benchmarks and trend analysis

Build executive dashboards showing revenue, average order value, conversion rates, and cohort analysis with drill-down by date and channel

Implement ASC 606 / IFRS 15 revenue recognition for subscriptions, bundles, and multi-element arrangements with deferred revenue tracking and journal entries

Analyze gross and net profit margins by product, category, channel, and customer segment with cost attribution, benchmarking, and trend visualization

Track product performance with sell-through rates, views-to-purchase conversion, dead stock identification, and category-level reporting

Reconcile and analyze seller fees from Amazon, eBay, Walmart, and Etsy with net revenue calculation, fee categorization, and optimization recommendations

Track and analyze marketing spend across all channels with ROAS calculation, diminishing returns analysis, and budget reallocation recommendations by platform

Build P&L, balance sheet, and cash flow dashboards for ecommerce with drill-down by product, channel, and time period for management and investor reporting

Build interactive financial KPI dashboards with customizable metrics, drill-down analysis, variance explanations, and automated threshold-based alerting

Build a commerce data warehouse with star-schema tables, ETL pipelines, and dbt models for BigQuery, Snowflake, or Redshift analytics

Build rolling operating budgets for marketing spend, inventory purchases, and operations with variance analysis, scenario modeling, and budget utilization alerts

Analyze customer behavior with RFM scoring, purchase frequency tracking, churn prediction, and cohort analysis to improve retention strategy

Allocate COGS, shipping, marketing, and overhead costs across products, channels, and orders to calculate true per-unit and per-order profitability

Forecast cash flow using historical sales patterns, payment terms, seasonal trends, and receivables modeling with scenario planning and runway tracking

Understand which marketing channels drive purchases by implementing multi-touch attribution models across UTM-tracked campaigns and channels

Run controlled experiments on product pages, checkout flows, and pricing to find what converts best using statistical significance testing

Let customers upload photos, ask and answer product questions, and share social proof that increases trust and conversion for new visitors

Grow your customer base with a refer-a-friend program featuring unique shareable links, tiered rewards, and built-in fraud prevention

Collect, moderate, and display customer reviews with star ratings, aggregate scores, and structured data markup for Google rich results

Show each shopper personalized product recommendations using platform apps and recommendation tools based on browsing history and purchase patterns

Add real-time chat to your storefront using a platform-native app so agents can share product links, assist with cart questions, and close sales

Connect your helpdesk (Gorgias, Zendesk, Intercom) to your store so support agents see full order history and customer details without switching tools

Segment customers by purchase behavior, recency, and spend using Klaviyo, your platform's built-in tools, or a custom RFM analysis to power targeted marketing

Calculate and track the net profit value each customer generates, then automate retention strategies for your highest-value segments using platform tools