guerrilla_rotate

🥈Silver

@smathy

Implements the Guerrilla Marketing technique of side-by-side content/view testing (aka: A/B testing and split testing)

2010Updated 3mo ago

Intermediate30min to implementmarketing

Saves ~30 min per use

Quick InstallView Source

git clone https://github.com/smathy/guerrilla_rotate.git

Works with:

Claude

Overview

About This Skill

The guerrilla_rotate skill implements A/B testing and split testing methodologies within the Guerrilla Marketing framework. It enables side-by-side content and view testing to compare performance of different marketing variations. This skill allows marketers to test multiple versions simultaneously and measure their effectiveness against each other.

How to Use

1. **Define Your Test Variables:** Choose one variable to test at a time (e.g., headline, image, CTA) and ensure the two versions differ only in that element. Use tools like Google Optimize, Optimizely, or Meta Ads Manager for split testing. 2. **Set Up Your Test:** Configure your testing platform to split traffic evenly between the two versions. For ads, use a 50/50 split for 7-14 days. For landing pages, use tools like Unbounce or VWO to serve variations dynamically. 3. **Track Key Metrics:** Focus on metrics directly tied to your goal (e.g., CTR for awareness campaigns, conversion rate for sales). Use UTM parameters or tracking pixels to monitor performance in Google Analytics or your CRM. 4. **Analyze Results:** Compare the performance of both versions using statistical significance tools (e.g., Google’s A/B Testing Calculator). Look for trends in audience segments (e.g., age, location) to refine future tests. 5. **Optimize and Scale:** Implement the winning variation and apply the insights to future campaigns. Document your findings to build a library of high-performing creative assets.

Use Cases

Test two different email subject lines to determine which generates higher open rates

Compare landing page layouts side-by-side to identify which drives more conversions

Evaluate different ad copy variations to measure click-through rate performance

Split website visitor traffic between two homepage designs to measure engagement differences

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/smathy/guerrilla_rotate

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Run a guerrilla marketing rotate test for [PRODUCT/SERVICE] targeting [TARGET_AUDIENCE]. Create two distinct variations of a [CONTENT_TYPE: e.g., social media ad, landing page, email subject line] with [TESTING_VARIABLE: e.g., headline, image, CTA button color]. Use [TESTING_PLATFORM: e.g., Meta Ads, Google Ads, email campaign] to split traffic 50/50 between the two versions. Track [KEY_METRIC: e.g., click-through rate, conversion rate, engagement time] for 7 days. After the test period, analyze the results and recommend the winning variation along with 2-3 actionable optimizations for future campaigns. Include a confidence score for the results based on sample size and statistical significance.

Example Output

### Guerrilla Marketing Rotate Test Results: "EcoClean Laundry Detergent"

**Test Setup:**
We ran a 7-day A/B test on Meta Ads targeting environmentally conscious millennials (ages 25-35) in the U.S. Two ad variations were tested:
- **Version A (Control):** "Tired of harsh chemicals? Try EcoClean—plant-based, tough on stains, gentle on Earth!" with a green-themed lifestyle image.
- **Version B (Test):** "Switch to EcoClean and save 20% this month! Plant-powered cleaning that works." with a before/after stain comparison image.
Traffic was split 50/50, with 12,450 total impressions and 892 clicks recorded.

**Results:**
- **Version A:** 3.2% CTR, 12% conversion rate, $18.50 CPA
- **Version B:** 4.7% CTR, 18% conversion rate, $12.75 CPA

**Analysis:**
Version B outperformed Version A across all metrics, with a 47% higher CTR and 50% lower cost per acquisition. The discount offer and before/after visual proved more compelling to our audience. Statistical significance reached 95% confidence (p < 0.05) with a sample size of 892 conversions.

**Recommendations:**
1. **Scale Version B:** Roll out the discount offer and before/after image as the primary creative for all future EcoClean campaigns.
2. **Test Further Discounts:** Experiment with higher discount percentages (e.g., 25% or 30%) to see if conversion rates improve further.
3. **Expand Audience:** Retarget users who clicked but didn’t convert with a follow-up ad featuring Version B’s messaging and a limited-time offer.

**Next Steps:**
- Implement Version B as the default ad creative for EcoClean’s next quarterly campaign.
- A/B test the discount offer against a free shipping incentive to determine which drives higher LTV.
- Monitor audience fatigue and refresh creative every 4-6 weeks to maintain performance.

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