Last updated: November 22, 2025
Welcome to iammrfeng.com. My mission is to cut through the noise of digital marketing and share transparent, honest insights based on real-world testing. This policy outlines how I create, test, and publish content.
1. Our Commitment to Transparency
As a “part-time myth-buster”, I operate on the principle of full disclosure.
- Real Experiments: All published case studies and data are derived from my actual time, money, and personal accounts (unless otherwise specified).
- Failures are Shared: Unlike most sources, I believe that failures are the most valuable lessons. Failed experiments will be documented and published just as openly as successful ones.
- Bias Check: My content is designed to be free from bias. I will always disclose if a tool was provided for free or if a partnership influenced the testing parameters (though monetary compensation does not guarantee a positive review).
2. The Mr. Feng Testing Methodology
All marketing experiments published on the Site follow a standardized process to ensure validity and allow for reader replication:
| Phase | Description | Key Deliverables |
| Phase 1: Hypothesis | Define the marketing myth/theory to be tested, the necessary input (time/budget), and the expected measurable outcome (KPI). | Clear Hypothesis & Budget Plan. |
| Phase 2: Execution | Implement the test across the chosen platform (e.g., Google Ads, Clickdealer, Social Media). This phase must run for a minimum of 7 days to gather statistically relevant data. | Raw Platform Data Screenshots (e.g., ad spends, clicks). |
| Phase 3: Analysis & Write-up | Data is analyzed against the initial Hypothesis. The findings are contextualized with lessons learned, technical setup, and a final verdict. | Detailed Step-by-Step Article. |
| Phase 4: Peer Review/Update | Before publishing, the data is double-checked. Content is frequently reviewed and updated as platforms (e.g., Google Ads policies) change. | “Last Updated” Date is revised. |
3. Review & Verification Standards
- Data Integrity: Screenshots and numerical data are pulled directly from platform dashboards and are never fabricated or misleading.
- Tool Testing: If a tool or service is recommended, it is based on my personal, hands-on experience. I do not recommend tools based purely on sales pitches or theoretical reviews.
- Source Citation: While I am the primary source of the experimental data, any external claims or background information will be properly cited.
4. Affiliate Content Standards
- The presence of an Affiliate Link (Terms of Use) does not influence the experimental verdict. My loyalty is to the truth of the data.
- If a tool performs poorly, I will disclose the poor result, regardless of its affiliate status.
- The small commission earned helps fund the next experiment and cover site operating costs.
5. Corrections Policy
- If an error in data analysis or factual information is discovered, the Site commits to correcting it promptly.
- Any significant correction will be noted at the top or bottom of the relevant article, along with the date of the correction.
6. Contact
For questions about our editorial integrity or to challenge an experimental finding, please reach out:
📩 Email: [email protected]