How to Analyze Sales Data

Step-by-step guide to analyzing sales data. Learn how to find revenue trends, identify top products, compare regions, and create sales reports automatically.

Step-by-step guide

1

Export sales data

Export orders or transactions as CSV from your CRM, POS system, or ecommerce platform.

2

Upload to OakPrism

Drag and drop. OakPrism detects revenue, product, customer, date, and region columns automatically.

3

Review ranked findings

Findings are ranked by dollar impact — the biggest opportunities appear first.

4

Act on recommendations

Each finding includes an actionable recommendation with expected revenue impact.

Key Sales Metrics to Track

Revenue, profit margin, average order value, sales velocity, customer acquisition cost, and lifetime value are the metrics that drive sales strategy. OakPrism auto-detects these from your data columns.

Finding Patterns in Sales Data

The most valuable insights come from comparisons: product vs product, region vs region, period vs period. OakPrism automatically generates these comparisons and ranks findings by revenue impact.

From Data to Decision

Good sales analysis doesn't just describe what happened — it tells you what to do next. OakPrism's findings include specific, dollar-quantified recommendations ranked by expected impact.

Ready to try it?

Upload any CSV or Excel file — no signup needed.

Skip the manual work

OakPrism automates everything in this guide — upload your file and get results in 60 seconds.