How to Run a 30-Day Test on a New Affiliate Offer

Quick Answer

Run a new offer for thirty days across a fixed set of placements, with the decision rule written down before you start, then judge it once at the end. The value of a test comes almost entirely from committing to the rule in advance — otherwise you will rationalise whatever the data shows.

What This Means (Definition)

A structured test is a fixed period with fixed placements and a pre-committed decision. It exists to stop you doing the thing everyone does by default: checking daily, reacting to noise, changing three variables at once, and ending the month unable to say what happened.

Thirty days is a compromise. It is long enough for weekday and weekend patterns to even out, short enough that you will actually finish it. Some categories — travel especially — need longer before commissions confirm, but the click signal is readable within a month.

The Step-by-Step Framework

1. Write the decision rule first. Decide now what result means keep, and what means drop. Do this before any data exists.
2. Fix the placements. Choose three or four and do not add more mid-test. Adding placements halfway makes the result uninterpretable.
3. Tag each placement distinctly. Same short link, different campaign tag per channel, so the comparison is possible at all.
4. Change nothing for thirty days. No new placements, no rewrites, no slug changes. Discipline here is the whole method.
5. Review once, at the end. Compare placements against each other rather than against your hopes.
6. Apply the rule you wrote. Including when it says drop something you have grown attached to.

Common Mistakes to Avoid

• Checking daily. Daily numbers are noise at this volume and will make you act on nothing.
• Changing variables mid-test. One change invalidates the comparison you were running.
• Setting the rule afterwards. A rule written after seeing the data is not a rule, it is a justification.
• Testing two offers at once in the same placement. They compete, and neither result is clean.
• Concluding from clicks alone in slow categories. In travel, clicks are an early indicator, not a verdict.

How to Implement This Today

Take the offer you are least sure about and write one sentence: "If this produces fewer clicks than [existing offer] over thirty days, I drop it." Then set up the placements and tags, and do not look until the end of the month.

The hardest part is not the setup. It is leaving it alone. Most people cannot resist optimising mid-test, which is precisely why most people have been doing this for a year without knowing which of their placements works.

When Thirty Days Is the Wrong Window

The thirty-day frame is a default, not a law, and two situations call for changing it.

The first is a slow-confirming category. In travel, where a booking may not be counted until the stay completes, thirty days will give you a clean read on clicks and almost nothing on commissions. The fix is not a longer test but an explicit decision about which signal you are testing: run thirty days on placement using click data, and evaluate the offer itself on a quarterly cycle. Trying to do both in one window produces a conclusion built on a partial number.

The second is very low volume. If your placements produce a handful of clicks a month, thirty days of data is noise and any decision rule applied to it is effectively a coin flip. The honest response is to extend the window until the numbers are large enough to distinguish between placements, and to accept that at low volume the useful comparisons are coarse ones — this channel versus that channel, not this wording versus that wording.

What does not change is writing the rule first. The window length is a judgement call about your category and your volume; committing to the decision before seeing the data is what makes it a test rather than a story you tell afterwards.

The Bigger Picture

Testing is how guessing becomes knowing, but only if the test is designed so it can produce an uncomfortable answer. A test you can talk yourself out of is not a test.

Over a year, four honest thirty-day tests will teach you more about your audience than any amount of reading about what worked for someone else — because it is your audience, and they are the only ones whose behaviour actually applies to you.

- Jeff