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Digital product economics

How many digital product sales do you need to make $5,000 a month?

The answer depends less on the headline price than on what remains from each sale after refunds, fees, fulfillment, acquisition costs, and tax reserves. Start with take-home per sale, then calculate sales and traffic.

The shortest useful formula

Monthly sales required = take-home target ÷ take-home per sale

If a $49 sale leaves an estimated $29.40 after all modeled costs and reserves, $5,000 divided by $29.40 equals 170.07. Because a partial sale is impossible, the target rounds up to 171 sales.

Sales needed at four price points

The table uses a simplified 60% keep rate only to compare prices. It is not a forecast. Replace the keep rate with measured economics from your actual processor, platform, refund history, fulfillment, acquisition costs, and tax planning.

Product priceTake-home per sale at 60%Monthly salesGross revenueVisits at 2% conversion
$19$11.40439$8,34121,950
$49$29.40171$8,3798,550
$99$59.4085$8,4154,250
$199$119.4042$8,3582,100

Rounding explains the small differences in gross revenue. The underlying gross target at a 60% keep rate is approximately $8,333.33 because $5,000 divided by 0.60 equals $8,333.33.

Traffic is often the harder constraint

At a 2% purchase conversion rate, each sale requires an average of 50 qualified visits. The $49 example therefore needs about 8,550 qualified visits for 171 purchases. At 1% conversion it needs about 17,100; at 3% it needs about 5,700.

Qualified matters. A visitor who fits the intended buyer and has a real opportunity to evaluate the product belongs in the denominator. Broad impressions, bot traffic, and accidental clicks do not.

Do not hide uncertain costs inside one percentage forever

A keep-rate estimate is useful for an initial sensitivity check, but it should eventually be replaced with separate measurements:

Only money remaining after those measured items should count toward take-home income.

What to test first

Do not begin by assuming thousands of visitors will appear. Run a bounded test around one buyer, one problem, one promise, and one source of qualified traffic. Record visits, checkout starts, completed purchases, refunds, and costs. A first purchase is stronger evidence than a large number of views.

Decision rule example

Continue the channel only if it produces qualified visits and at least one completed external purchase within the test boundary. Improve the page if qualified people start checkout but do not complete it. Stop or change the channel if two fair tests produce no buying intent.

Calculate your own targetOpen the $49 experiment kit