The method
Paste into your LLM. Clearly define your objective (e.g., increase newsletter sign-ups). Specify the element to test (e.g., button color) and create two variations. Set a timeframe and success metrics for your A/B test.
The prompts
Prompt 1
I want to improve my website's conversion rate for a specific product page. The current conversion rate is 2%. My hypothesis is that changing the headline will lead to a higher conversion rate. Create an A/B test plan that includes the following elements:
1. **Objective:** Clearly define what you aim to achieve with this A/B test (e.g., increase conversion rate).
2. **Hypothesis:** State your prediction about the impact of the change (e.g., a new headline will increase conversions).
3. **Variations:** Develop two different headlines for the product page. One should be the control (the existing headline), and the other should be the variation you're testing.
4. **Metrics:** Define the key metrics you'll track to measure the success of the test (e.g., conversion rate, bounce rate, time on page).
5. **Duration:** Set a specific timeframe for running the A/B test (e.g., 2 weeks). Explain your choice of duration based on the website's traffic volume.
6. **Target Audience:** Specify the segment of website visitors that will be included in the A/B test (e.g., all visitors, visitors from specific geographic locations).
7. **Analysis Plan:** Outline how you'll analyze the results of the A/B test to determine if the variation is statistically significant.
8. **Implementation Details:** Provide specific instructions on how to implement the A/B test using a testing platform (e.g., Google Optimize, Optimizely). Include the original headline: 'The Best Productivity Software' and the new headline: 'Double Your Output with Our Software'
1. **Objective:** Clearly define what you aim to achieve with this A/B test (e.g., increase conversion rate).
2. **Hypothesis:** State your prediction about the impact of the change (e.g., a new headline will increase conversions).
3. **Variations:** Develop two different headlines for the product page. One should be the control (the existing headline), and the other should be the variation you're testing.
4. **Metrics:** Define the key metrics you'll track to measure the success of the test (e.g., conversion rate, bounce rate, time on page).
5. **Duration:** Set a specific timeframe for running the A/B test (e.g., 2 weeks). Explain your choice of duration based on the website's traffic volume.
6. **Target Audience:** Specify the segment of website visitors that will be included in the A/B test (e.g., all visitors, visitors from specific geographic locations).
7. **Analysis Plan:** Outline how you'll analyze the results of the A/B test to determine if the variation is statistically significant.
8. **Implementation Details:** Provide specific instructions on how to implement the A/B test using a testing platform (e.g., Google Optimize, Optimizely). Include the original headline: 'The Best Productivity Software' and the new headline: 'Double Your Output with Our Software'
Prompt 2
I'm running a Google Ads campaign and want to improve the click-through rate (CTR). The current CTR is 1.5%. I believe that changing the ad copy will improve the CTR. Create an A/B test plan that includes:
1. **Objective:** To improve the CTR of my google ads campaign.
2. **Hypothesis:** A revised ad copy focused on user benefits will increase CTR.
3. **Variations:** Create two different ad copy versions. Version A (Control): 'Buy Now!' Version B (Test): 'Solve Your Problems Today!'
4. **Metrics:** CTR, Conversion Rate, Cost per Click
5. **Duration:** Run the test for 7 days with even traffic distribution.
6. **Target Audience:** Targeting keywords 'Productivity Software' in the United States.
7. **Analysis Plan:** Track impressions, clicks, and conversions for both ads. Use a significance calculator to assess results after one week.
8. **Implementation Details:** Utilize Google Ads A/B testing features to split traffic between the two ad copies.
1. **Objective:** To improve the CTR of my google ads campaign.
2. **Hypothesis:** A revised ad copy focused on user benefits will increase CTR.
3. **Variations:** Create two different ad copy versions. Version A (Control): 'Buy Now!' Version B (Test): 'Solve Your Problems Today!'
4. **Metrics:** CTR, Conversion Rate, Cost per Click
5. **Duration:** Run the test for 7 days with even traffic distribution.
6. **Target Audience:** Targeting keywords 'Productivity Software' in the United States.
7. **Analysis Plan:** Track impressions, clicks, and conversions for both ads. Use a significance calculator to assess results after one week.
8. **Implementation Details:** Utilize Google Ads A/B testing features to split traffic between the two ad copies.