Example Data Table
| Report |
Field |
Rule |
Total Rows |
Matched Rows |
Metric Before |
Metric After |
| Marketing Performance |
Campaign |
Contains brand |
25,000 |
8,500 |
125,000 |
72,500 |
| Sales Funnel |
Lead Score |
Greater than 60 |
12,400 |
3,920 |
84,300 |
49,800 |
| Content Report |
Page Type |
Equals blog |
9,750 |
4,110 |
39,600 |
21,900 |
Formula Used
Valid rows = Total rows - Null rows - Duplicate rows.
Matched rows = Rows that pass the chosen filter rule.
Excluded rows = Total rows - Matched rows.
Match rate = Matched rows / Total rows × 100.
Clean match rate = Matched rows / Valid rows × 100.
Null rate = Null rows / Total rows × 100.
Duplicate rate = Duplicate rows / Total rows × 100.
Metric retained rate = Metric after filter / Metric before filter × 100.
Conversion rate = Conversions / Matched rows × 100.
Rule health score blends clean match rate, null control, duplicate control, and metric retention.
How to Use This Calculator
Enter the report name and calculated field name.
Select the filter rule that matches your planned condition.
Add the target text, pattern, or numeric values.
Enter total rows, matched rows, null rows, and duplicate rows.
Add metric values before and after the filter.
Submit the form to view rates, score, and generated logic.
Use the CSV or PDF button to export the results.
Overview
A calculated field filter helps shape report data before users see it. It turns raw values into a clean rule. That rule can label rows, include rows, exclude rows, or group values. This calculator supports that planning step. It does not connect to a live report. It helps you model the logic safely.
Why filters need testing
Filters can hide important rows. They can also keep rows with bad data. A small mistake may change totals, averages, and conversion rates. Testing the rule first reduces that risk. You can compare matched rows with total rows. You can also track null rows, duplicate rows, and retained metric value.
Practical workflow
Start with a field name. Add the value or pattern you want to test. Select the condition type. Then enter record counts from your report preview. Use matched rows for the rows that should pass. Use null rows for missing field values. Use duplicate rows when the source may repeat the same event or user.
Reading the results
The match rate shows the share of rows passing the rule. The clean match rate removes null and duplicate rows first. This often gives a more honest view. Metric retained rate shows how much value remains after filtering. Conversion rate shows performance inside the filtered set.
Using generated logic
The generated expression is a planning aid. Review it before placing it in your report. Check field names, quotes, and data types. Text rules need careful spacing. Regular expressions need testing with edge cases. Numeric rules should use the same units as your source.
Good reporting habits
Keep every calculated field readable. Use clear labels, not vague names. Store a note about why the rule exists. Recheck filters after source schema changes. Review high null rates before trusting results. Export the summary for audit notes, client review, or internal documentation.
Common mistakes
Many teams filter on display labels instead of stable source values. Labels may change later. Some teams mix text and number checks in one field. That creates blanks. Others forget case sensitivity. Review every branch with sample rows. Compare totals before and after changes. Keep one test table beside the final chart. This makes errors easier to find during final reviews.
FAQs
What does this calculator do?
It helps estimate how a calculated field filter may affect rows, metrics, exclusions, and conversions before you publish a report change.
Can it connect to my report automatically?
No. It uses values you enter manually. Copy counts from your report preview or source table, then test the planned rule here.
What is clean match rate?
Clean match rate compares matched rows with valid rows. Valid rows remove blank and duplicate rows first. This gives a stronger quality view.
Why enter metric before and after filtering?
Those values show how much business value remains after the rule runs. A low retained rate may need closer review.
When should I use regex mode?
Use regex mode when a simple text match is not enough. It helps test patterns, mixed naming, and grouped campaign rules.
What does rule health score mean?
It is a planning score. It blends clean match rate, null control, duplicate control, and retained metric value into one guide.
Can I copy the generated formula directly?
You can copy it as a starting point. Always review field names, quotes, data types, and pattern syntax before using it.
Why export CSV or PDF?
Exports help document filter checks. They are useful for audits, approvals, client notes, and repeat testing across report versions.