- A concrete application
- A topic-specific audit for Affiliate Disclosures: Be Transparent Without Hurting UX
- A practical way to approach it
- What to measure
- Where people usually go wrong
- Official reference material
- Continue with a related guide
Explain the commercial relationship near the recommendation in the reader’s language. A plain statement such as “I may earn a commission if you buy through these links” is easier to understand than an unexplained technical label. Adapt wording to the actual arrangement.
A concrete application
Check the mobile view: the explanation should not disappear below a collapsed section. For video endorsements, review the FTC’s guidance on disclosure within the video. This is a U.S. reference; check additional rules applying to your audience and location.
A topic-specific audit for Affiliate Disclosures: Be Transparent Without Hurting UX
Write the current process on one page, identify the single decision this article is meant to improve, and collect one real example before changing anything. Then compare the before and after result using the metrics above. This turns the advice into evidence rather than another checklist you never use.
A practical way to approach it
A sensible workflow is concrete enough to test and small enough to reverse. For this topic, prioritize the following:
- map the reader decision before choosing products
- update claims when price, features or terms change
- compare alternatives on criteria that matter
- disclose affiliate relationships clearly
- test or substantively research what you recommend
Do not implement all five at once. Choose the item that removes the largest uncertainty, test it, then use what you learn to choose the next step.
What to measure
Measurement should answer whether the system is becoming more useful, not merely busier. A compact scorecard for this topic can include:
- percentage of commercial pages reviewed on schedule
- outbound click rate by intent
- earnings per useful article rather than raw pageview
- conversion rate after the click
- refund or reversal rate where available
Use a weekly comparison rather than reacting to every daily fluctuation. Small samples are noisy; decisions improve when the same definition is measured consistently.
Where people usually go wrong
Most weak implementations fail because they optimize appearance before evidence. Watch especially for these problems:
- copying merchant descriptions
- writing reviews without meaningful evidence
- publishing dozens of near-identical comparison pages
- hiding disclosures
- ranking products only by commission
If one of these appears, reduce scope and return to the last step where you still had reliable evidence.
Official reference material
Continue with a related guide
- How to Evaluate an Affiliate Program Before Joining
- Affiliate Analytics: Metrics That Matter More Than Clicks
Apply one useful step, measure the result, and continue with the most relevant guide.
