RGAnalyzer
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Sales reading

Sales KPIs that explain performance not a list of numbers.

A good sales dashboard does not show everything. It shows the numbers that explain what drives revenue, what is changing and what needs attention.

In short If a KPI does not help a decision, it clutters the report.
Quick read

What to remember

A short page to know what to check, what to avoid and when to use RGAnalyzer.

01

See the real weight

Revenue, customers, products and quantity show the business base.

02

Find dependencies

Concentration reveals whether a few customers or products carry too much revenue.

03

Avoid fake KPIs

Order value is shown only when the file contains a real order number.

Simple method

Read KPIs in the right order

Start with revenue, then look at who generates it, with which products, what margin and how reliable the file is.

Check

  • The period covered by the file
  • The customers and products carrying the most revenue
  • Margin and profit when the file contains them
  • File quality before drawing a conclusion

Avoid

  • Stacking 20 indicators with no reading order
  • Comparing periods without checking that they are comparable
  • Showing order value from a customer identifier
  • Ignoring excluded rows or missing fields
RGAnalyzer

What the report makes visible

RGAnalyzer focuses on indicators that can be read cleanly from the file.

Executive summary

Revenue, customers, products, trend, margin and points to watch at the top of the report.

Where to look next

The report highlights a customer, product, area or trend worth checking.

Visible limits

Unreliable KPIs are hidden or explained instead of shown as certainties.

FAQ

Useful questions

Which KPIs should come first?

Start with revenue, customers, products, trend and margin. Add order value only if the file has a real order number.

Should a good report contain many KPIs?

No. A premium report should help people decide quickly while showing the file limits.

Can I test the output without an account?

Yes, the live demo opens a complete report on fictional data.

Continue

Choose the right next step

Open a sample report, analyze your own file or compare two exports depending on your need.