Repeat Buyers: What the Metric Can and Cannot Tell You is fundamentally a due-diligence problem. Marketplace statistics and seller claims can narrow the field, but your own campaign data remains the final test.
What the Signal Means
Repeat Buyers: What the Metric Can and Cannot Tell You is fundamentally a due-diligence problem. Marketplace statistics and seller claims can narrow the field, but your own campaign data remains the final test.
Before moving on, write down the evidence you will use for this decision and the outcome that would justify the next step. This prevents a strong-looking click count or seller statistic from replacing the campaign goal.
How to Use It
For how to use it, we start with the campaign's actual job. The same traffic source can look very different when one buyer wants an email subscriber and another expects an immediate affiliate sale. Define the next meaningful action before judging the channel.
Before moving on, write down the evidence you will use for this decision and the outcome that would justify the next step. This prevents a strong-looking click count or seller statistic from replacing the campaign goal.
What It Does Not Tell You
Our practical approach is to reduce variables. Keep the offer and destination stable when comparing traffic sources, document the seller or setup used, and avoid changing several major elements during the same test. That makes the result easier to interpret.
Before moving on, write down the evidence you will use for this decision and the outcome that would justify the next step. This prevents a strong-looking click count or seller statistic from replacing the campaign goal.
Combine It With Other Evidence
The strongest evidence is a combination of current platform information, relevant seller or audience signals, and your own downstream data. None of those should be treated as a promise of future sales.
Before moving on, write down the evidence you will use for this decision and the outcome that would justify the next step. This prevents a strong-looking click count or seller statistic from replacing the campaign goal.
Confirm With Your Own Test
Use this step to decide what you will keep, change or verify next. A campaign that produces a clear learning can still be useful even when the immediate economics are not strong enough to scale.
Before moving on, write down the evidence you will use for this decision and the outcome that would justify the next step. This prevents a strong-looking click count or seller statistic from replacing the campaign goal.
Frequently Asked Questions
What makes a solo-ad vendor good?
A useful vendor has an audience that fits the offer, credible recent evidence, clear delivery terms and traffic that performs acceptably in your own funnel.
Are ratings enough?
No. Combine ratings with niche, geography, recent statistics, communication and your own controlled tests.
Is cheap traffic bad?
Not automatically, but a low price cannot compensate for an irrelevant audience or poor-quality delivery.
Editorial Note: This guide was reviewed in September 2026. Product features, pricing and marketplace rules can change. Time-sensitive Udimi details are checked against current official documentation; campaign outcomes vary by seller, audience, offer, funnel and follow-up.