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Package insert A/B test planner and results worksheet

Plan an insert card experiment, compare observed response rates and costs, and download a CSV with your assumptions. Free and local to your browser.

Plan your comparison, then record observed outcomes. Count each responding recipient once, using the same definition for A and B. Repeated scans are not unique recipients. Distributed inserts means those delivered to recipients, not the quantity ordered from a printer.

Plan before distributing

Enter total attributable costs for each group consistently. Use 0 for confirmed zero and leave an unknown cost blank: the cost per response is then left out. No currency conversion or tax calculation is performed.

Version A
See the results
Version B
See the results

Observed results

Enter how many inserts each version reached and how many recipients responded, and the rates appear here. To see how it works first, load the fictional experiment.

Print the two versions.

Order version A and version B as separate designs so each can carry its own link or code.

See packaging insert cards
  • Build a distinct campaign link for each version
  • Make a QR code for each link
  • Work out campaign break even

More responses can mean a lower rate

In the fictional example, A receives 10 responses from 200 recipients (5%), while B receives 12 from 400 (3%). B has more responses but a rate 2 percentage points lower. Neither observation establishes that the artwork caused the difference. Keep assignment, delivery conditions and the observation window with your report.

Keep the interpretation honest

Choose the outcome and closing rule before reviewing results. Random assignment, when feasible, helps separate the treatment from audience differences. These descriptive calculations do not provide a sample size recommendation, a significance test, revenue or ROI. Zero distributed recipients makes the rate unavailable; zero responses makes cost per response unavailable.

NIST: completely randomized designs explains random assignment of a factor to experimental units. This worksheet records your assignment method; it does not perform randomization or a statistical test.

Your inputs stay in the memory of this page until you reload or leave. The CSV contains what you entered. No account save, tracking service or campaign submission is performed.

How this tool works

Observed response rate = unique responding recipients ÷ distributed inserts. B minus A is reported in percentage points, not causal lift or statistical significance.

Use the actual specification from your selected printer. Defaults are examples, not universal production requirements. These tools do not inspect a PDF, certify a print file, provide a price quote or predict sales.

Keep learning

  • Postcard A/B testing: change one decision at a time
  • Small business insert cards: message, fit and print order
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