SayPro Monthly January SCMR-5 SayPro Quarterly Classified Pricing and Subscription Models Management by SayPro Classified Office under SayPro Marketing Royalty SCMR
1. Document Information
- Report Title: SayPro A/B Testing Report
- Test ID: [Unique Test Identifier]
- Prepared By: [Name & Designation]
- Department: SayPro Classified Office – Marketing & Pricing Division
- Report Date: [DD/MM/YYYY]
- Testing Period: [Start Date] – [End Date]
2. Test Overview
2.1 Objective of the Test
- Clearly define the purpose of the A/B test.
- Specify if the test is focused on pricing models, subscription plans, or any other variable.
- Example:
- To determine whether a tiered subscription pricing model results in higher conversions compared to a flat-rate pricing model.
2.2 Hypothesis
- State the hypothesis being tested.
- Example:
- If we switch from a fixed-price subscription to a tiered pricing model, we expect a 15% increase in customer sign-ups and a 10% reduction in churn.
2.3 Test Variables
- Version A (Control Group): Describe the existing pricing model or subscription plan.
- Version B (Variation): Describe the new or modified pricing model being tested.
| Test Element | Version A (Control) | Version B (Variation) |
|---|---|---|
| Pricing Structure | Fixed $20/month | Tiered: $15, $25, $40/month |
| Subscription Model | Monthly only | Monthly + Annual |
| Discounts | No discounts | 10% discount for annual billing |
3. Test Setup & Execution
3.1 Target Audience
- Define the audience segmentation for the test.
- Example:
- 50% of new visitors were shown Version A, and 50% were shown Version B.
3.2 Test Duration
- Mention the timeframe for the test.
- Example:
- The A/B test ran from January 1 to January 31, 2024.
3.3 Metrics Measured
- List the key performance indicators (KPIs) tracked during the test.
- Example:
- Conversion Rate (% of users who subscribed)
- Average Revenue Per User (ARPU)
- Customer Churn Rate
- Customer Lifetime Value (CLV)
3.4 Testing Tools & Platforms Used
- Indicate which platforms or tools were used to conduct the test.
- Example:
- Google Optimize, SayPro Classified Analytics, SayPro Subscription Dashboard, CRM Reports
4. Test Results & Data Analysis
4.1 Summary of Results
Provide an overview of the A/B testing results.
| Metric | Version A (Control) | Version B (Variation) | % Change |
|---|---|---|---|
| Conversion Rate (%) | 8.5% | 10.2% | +20% |
| Average Revenue Per User | $25 | $28 | +12% |
| Churn Rate (%) | 5.2% | 4.0% | -23% |
4.2 Key Findings & Insights
- Highlight important observations from the test.
- Example:
- The tiered pricing model in Version B resulted in a 20% increase in conversions.
- Annual subscription plans led to a lower churn rate (4.0%) compared to the fixed-price model (5.2%).
- Customers were more likely to choose the $25/month tier in the tiered pricing model.
5. Conclusion & Recommendations
5.1 Conclusion
- Summarize whether the hypothesis was proven correct or not.
- Example:
- The results support the hypothesis that a tiered pricing model leads to higher conversions and lower churn rates.
5.2 Recommendations for Future Implementation
- Decide whether to fully implement the new pricing model or conduct further testing.
- Example:
- Implement the tiered pricing model permanently and monitor long-term effects.
- Conduct additional A/B tests to refine pricing tiers.
6. Appendices & Supporting Data
- Include screenshots, graphs, survey results, or raw data from the test.
- Example:
- Appendix A: User heatmaps from SayPro Analytics
- Appendix B: Survey feedback from test participants
Approval & Sign-Off
Reviewed & Approved By:
[Name] | [Designation] | [Date]
This template ensures that SayPro’s A/B testing results are systematically recorded, analyzed, and used to optimize pricing models and subscription plans under SayPro Marketing Royalty (SCMR-5). 🚀