Calculator Input
Example Data Table
This table shows the format accepted by the calculator.
| Group | Segment | Current Value | Previous Field 1 | Previous Field 2 | Current Base | Previous Base 1 | Previous Base 2 |
|---|---|---|---|---|---|---|---|
| Newsletter | 340 | 310 | 280 | 5000 | 4900 | 4700 | |
| Search | Brand | 420 | 390 | 365 | 6100 | 6000 | 5900 |
| Social | Paid | 145 | 160 | 155 | 4200 | 4100 | 4000 |
Formula Used
Conversion Rate = Conversion Value ÷ Base Value × Scale
Current vs Previous 1 = Current Rate − Previous Field 1 Rate
Previous 1 vs Previous 2 = Previous Field 1 Rate − Previous Field 2 Rate
Current vs Previous 2 = Current Rate − Previous Field 2 Rate
Pivot Total = Grouped rows are combined by selected pivot field. Sum mode calculates rate from total values and bases. Average mode averages row rates.
How to Use This Calculator
- Paste your CSV data into the input box.
- Keep the first row as the column header.
- Select whether to pivot by group or segment.
- Choose sum mode for total-based records.
- Choose average mode for independent row rates.
- Pick percent, ratio, or per 1,000 scale.
- Press Calculate Pivot to view grouped results.
- Use CSV or PDF buttons to export the report.
Pivot Table Conversion Analysis
Why This Calculator Matters
A pivot table helps you turn raw conversion rows into a useful comparison report. This calculator focuses on the current field, previous field one, and previous field two. It groups rows by the column you choose. Then it compares the grouped conversion rate across three periods, stages, campaigns, or sources.
When to Use It
The tool is useful when your data already has repeated rows. A marketing team may have many rows for each channel. A sales team may have many rows for each region. A product team may have rows for each experiment. The pivot step combines those rows into one clean line per group.
What the Results Show
Each line shows the current rate, the first previous rate, and the second previous rate. It also shows the change from current to previous one, previous one to previous two, and current to previous two. These values make direction easy to see. Positive change means performance improved. Negative change means performance declined. A flat change means the field stayed stable.
Aggregation Choice
Use summed aggregation when rows represent parts of the same total. This is common for daily campaign records. Use average aggregation when rows are already independent rates or samples. The calculator also keeps base counts visible. That helps you avoid trusting a high rate from a tiny base.
Export and Review
The chart adds a quick visual check. You can see whether a group is rising, falling, or moving unevenly. The CSV export is helpful for spreadsheets. The PDF export is useful for reports, audits, and team sharing.
Data Quality Tips
For best results, keep field names consistent. Use the same unit for all three value columns. Use the same base meaning for every period. Do not mix leads, orders, and clicks in one value column. Also check blank rows before calculating. Clean input gives a stronger pivot report.
Practical Use
This calculator does not replace a full data warehouse. It gives a fast, practical view for everyday conversion review. You can test campaigns, compare periods, and explain changes without building a complex dashboard. It is also helpful during weekly reviews. Teams can spot weak groups, defend strong channels, and decide where to improve next. The simple layout keeps the focus on measurable movement, not noise.
FAQs
What does this calculator do?
It creates a pivot-style conversion report. It compares a current field with two previous fields, then shows rate changes by group or segment.
What columns are required?
You need group, segment, current value, previous field one, previous field two, current base, previous base one, and previous base two.
When should I use sum mode?
Use sum mode when rows are parts of one total. It works well for campaign days, regions, products, teams, and channel records.
When should I use average mode?
Use average mode when each row is an independent sample. It averages row rates instead of calculating from combined totals.
Can I export the results?
Yes. Use the CSV button for spreadsheet work. Use the PDF button when you need a clean report for sharing.
What is Current minus Previous 1?
It is the difference between the current conversion rate and the first previous field rate. It shows short-term movement.
What is Current minus Previous 2?
It compares the current rate with the second previous field rate. This helps reveal longer movement across two prior periods.
Can this handle blank rows?
Blank rows are ignored. Rows with missing required columns are skipped and shown as input notes after calculation.