How to Read an Income Claim Before You Buy Anything
Quick answer: when is an earnings claim trustworthy?
When the seller can show you the data behind it — how many buyers it covers, over what period, what the typical result was rather than the best one, and what those buyers had to start with. US advertising rules put the burden on the advertiser: if you make an earnings claim, you must have substantiation for it before you make it, and results shown must reflect what people generally achieve, not the outliers. Almost everything you will see in this category fails that test — not because it is necessarily false, but because nobody has produced the evidence.
- A number in a product title is a marketing decision, not a finding.
- A screenshot proves a screenshot exists.
- Case studies collected by a seller are individual accounts, not typical results.
- "Results not typical" in small print does not cure a misleading headline.
The rule, in one paragraph
Under US advertising law an objective claim must be substantiated before it is made, and that applies with particular force to claims about money. Regulators have been explicit that showing unusual results while disclaiming them in small print does not fix a misleading impression, and that testimonials describing exceptional outcomes require a clear statement of what consumers can generally expect. The practical version for a buyer: the seller is supposed to have the evidence already. You are allowed to ask for it.
Six questions that sort real figures from decorative ones
1. Of how many people?
A figure without a denominator is not a statistic. "Users have made X" tells you nothing unless you know how many users there are and how many made nothing.
2. Over what period, and starting from what?
Someone with an existing audience of fifty thousand is running a different experiment from someone starting today. If the case studies do not say what people started with, they are not comparable to you.
3. Is that gross or net?
Revenue is not profit. Ad spend, fees, refunds and the cost of the tools themselves all sit between the two, and headline figures in this category are almost always the larger number.
4. What is the typical result?
The single most useful question, and the one least often answered. The median matters far more than the maximum, and a seller who has the data has the median.
5. Who collected the evidence?
Testimonials and case studies gathered and published by the seller are not independent. That does not make them false; it makes them unverified, which is a different thing and should be labelled as such.
6. What happens if it does not work?
The refund window, who administers it, and what you have to do to claim. This is the only part of the whole offer you can rely on, so read it first.
Four patterns worth recognising
- Numbers in titles. A guide called "$X in Y days" has put a claim into a name, where it needs no substantiation because, technically, it is only a title.
- Dashboard screenshots. Trivially producible and impossible to verify. They are decoration.
- Vague verbs. "Potential", "opportunity", "designed to help you" — these are constructions that create an impression while asserting nothing checkable.
- Urgency. A countdown that resets when you reload is not a deadline, and a genuinely good offer does not need one.
What a trustworthy version looks like
They do exist. A seller with real data publishes an earnings disclosure: how many customers, what proportion earned anything, the median result, and the conditions. It reads as unglamorously as that sounds, and it is the strongest possible signal that a business has nothing to hide.
The buyer's version, in one line
Buy the tool for what the tool does. If the tool is not worth its price without the income story, the income story is the thing you are actually paying for — and nobody has shown you it is real.
Scientific references
See the CashScroller claims audit
Our review page separates what the software does from what the sales copy implies, point by point.
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