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Positive reply rate calculator

Turn reviewed contact counts into clear human-reply and positive-reply rates. Every denominator is visible, and automatic responses stay out of the numerator.

Calculate your contact-level rates

Use one cohort and one observation cutoff. Calculations run in your browser; this form sends no counts or contact data to a server.

Count each person once, across all sequence steps. Include nonrespondents and bounced contacts in this denominator.

Exclude automatic-only replies; include positive, negative and ambiguous human replies.

Count reviewed interest in your offer. This must be a subset of human respondents.

What this calculator measures

This is a unique-contact calculation. It uses all people contacted in your chosen cohort as the denominator, including contacts who did not reply or whose messages bounced. It does not calculate a delivery-adjusted rate or Zintara’s message-based overview rate. Keep the cohort and cutoff identical for all three counts.

For example, if 200 people were contacted, 15 sent a human reply and six expressed reviewed positive intent, the human reply rate is 7.50% and the positive reply rate is 3.00%. The example is synthetic, not a benchmark. A person who replies three times still counts once.

Prepare the counts

  1. Choose the contacted cohort and the date through which replies will be reviewed.
  2. Deduplicate people across sequence steps.
  3. Separate automated-only messages from human responses.
  4. Review intent consistently; keep ambiguous cases out of positive counts until resolved.
  5. Enter aggregate counts only. No email addresses or message bodies are needed.

Interpret the result before acting

Zero contacted people produces an undefined rate. A small percentage difference between campaigns does not by itself show that one offer is better: cohort size, audience, time to respond and classification choices matter. Positive intent also does not mean a meeting was booked. Record those outcomes separately.

Changing an input clears the previous result so an outdated calculation cannot be mistaken for the new one. Clear removes this form’s entered counts and result; the calculator does not save them in browser storage.

Use the positive-reply classification rubric →Understand message-based versus contact-based rates →