SafeTracker is an independent research project that helps people compare sweepstakes sites, understand entry friction, find current promotions, and recognize prize scams. Our goal is not to promise wins. It is to make the tradeoffs visible before someone submits personal information.
Who produces the research
Profiles and guides are published by the SafeTracker Editorial Team. The team maintains the structured site inventory, reviews public sources, checks correction requests, and applies the published ScamFactor methodology consistently.
How profiles are created
We combine structured research with automated public-page checks. Automation helps detect changes and rebuild pages; it does not replace source review. Protected, missing, or ambiguous information is labeled instead of guessed.
Why the site exists
Sweepstakes can be legitimate while still creating marketing pressure, privacy exposure, confusing entry requirements, or unrealistic expectations. SafeTracker organizes those signals so readers can make a more informed choice.
What we do not claim
A score is not a guarantee of legitimacy, safety, or winning. Individual promotions may be operated by outside sponsors. Readers should verify the official rules, sponsor, eligibility, and privacy terms before entering.
Editorial standards
Primary sources—official rules, operator disclosures, privacy pages, and dated winner reports—receive the most weight.
Scores reflect the published methodology and may change when evidence changes.
Material factual claims are linked to sources or described as observations from the structured inventory.
We distinguish an operator’s own fulfillment record from prizes merely listed by a third-party directory.
We do not manufacture winner reports, infer missing facts, or treat marketing claims as independent proof.
Automation and AI assistance
SafeTracker uses software and AI-assisted workflows to organize public information, identify stale records, draft structured summaries, check page completeness, and monitor links. Material pages are generated from reviewable data and validation rules. Automated output can be wrong, so readers and operators can submit corrections and primary-source evidence.
Sponsorships and affiliate links
Some outbound links may become affiliate links, and clearly labeled visibility may be sold. Payment does not buy a lower ScamFactor score, remove concerns, or prevent a correction. Sponsored placements remain distinguishable from editorial findings.