Saras Analytics

Best for: Must be a US-based eCommerce brand doing $30M–$300M in annual revenue, selling on Shopify (required) and optionally Amazon, with multiple data sources across marketing, finance, and operations, and without a fully mature in-house data warehouse and analytics stack, trying to solve SKU-level profitability, customer LTV, and omnichannel reporting.

The problem: Looking to eliminate fragmented, inconsistent reporting across Shopify, Amazon, ads, subscriptions, finance, and operations, because they lack a single source of truth to accurately understand customer LTV, channel profitability, SKU-level contribution margins, inventory health, and the real impact of growth decisions.

The impact: Our customers achieve materially better growth and profitability decisions by unifying all their data into a single, reliable system of record—unlocking measurable outcomes such as higher customer LTV, reduced churn, improved marketing efficiency (MER/ROAS), accurate daily P&L visibility, fewer inventory write-offs, and faster, more confident executive decision-making. Their data infra is ready for AI layer.