What is the minimum sample size for a valid cold email test?

For a standard 95% confidence level, a minimum of 150 leads per variant is recommended to ensure results are statistically significant.

Which copywriting frameworks does this skill support?

The skill provides patterns for testing the PAS (Problem-Agitate-Solution) framework against the AIDA (Attention-Interest-Desire-Action) framework.

How do I implement these A/B tests within Instantly?

The skill outlines two methods: splitting your lead list across multiple identical campaigns with one variable changed, or performing sequential testing over different time periods.

Can I test multiple variables at once in my campaigns?

No, for clear attribution of results, it is critical to change only one element (such as the subject line, opening hook, or CTA) per test.

When is the best time to send cold emails according to these patterns?

While it suggests a starting point of Tuesday-Thursday between 9-11am local time, the skill provides the variables needed to test and find the optimal window for your specific niche.

Cold Email A/B Testing Patterns

Name: Cold Email A/B Testing Patterns
Author: MadAppGang

byMadAppGang

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214

マーケティングオートメーション

Optimizes cold email campaigns using scientific A/B testing methodologies and statistical significance frameworks.

概要

This skill provides a comprehensive framework for conducting rigorous A/B tests within the Instantly email platform to improve outreach performance. It guides users through testing subject lines, body copy (including PAS and AIDA frameworks), and delivery timing while providing clear formulas for statistical significance. By following these standardized patterns, users can move beyond guesswork and systematically increase open and reply rates through data-driven cold email optimization.

主な機能

Copywriting framework comparisons (PAS vs. AIDA)
Structured subject line and body copy testing categories
Statistical significance calculators and sample size requirements
Optimal sending windows and timing test variables
Standardized A/B test logging and decision frameworks
214 GitHub stars

ユースケース

Determining the most effective sending times and intervals for specific target audiences
Comparing emotional vs. logical copywriting styles to increase prospect reply rates
Optimizing cold email open rates through systematic subject line experimentation

概要

主な機能

Copywriting framework comparisons (PAS vs. AIDA)
Structured subject line and body copy testing categories
Statistical significance calculators and sample size requirements
Optimal sending windows and timing test variables
Standardized A/B test logging and decision frameworks
214 GitHub stars

ユースケース

Determining the most effective sending times and intervals for specific target audiences
Comparing emotional vs. logical copywriting styles to increase prospect reply rates
Optimizing cold email open rates through systematic subject line experimentation