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feat: make pay-per-result pricing explicit #1117

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Jul 31, 2024
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feat: make pay-per-result pricing explicit #1117

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feat: make pay-per-result pricing explicit
mhamas Jul 26, 2024
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fix lint issues
TC-MO Jul 30, 2024
99080c1
add note explaining GB-hours
TC-MO Jul 31, 2024
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36 changes: 35 additions & 1 deletion sources/academy/platform/get_most_of_actors/monetizing_your_actor.md
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Expand Up @@ -31,7 +31,41 @@ At the end of each month, we will then add up all rental fees collected in that

## Pay-per-result pricing model {#pay-per-result-pricing-model}

If you make your Actor pay-per-result instead, you will set the price per 1,000 results, and users will be charged for your Actor solely based on the number of results your Actor produces. That's your _revenue_. The underlying [platform usage](https://docs.apify.com/platform/actors/running/usage-and-resources) the Actor generates, using the free plan unit pricing, is your _cost_. Your profit which is then paid to you is computed as 80% of the revenue minus the costs, i.e. `(0.8 * revenue) - costs = profit`. This profit is also paid out monthly.
If you make your Actor pay-per-result instead, you will set the price per 1,000 results, and users will be charged for your Actor solely based on the number of results your Actor produces. That's your _revenue_. The underlying [platform usage](https://docs.apify.com/platform/actors/running/usage-and-resources) the Actor generates, using the pay-per-result unit pricing defined below, is your _cost_. Your profit which is then paid to you is computed as 80% of the revenue minus the costs, i.e. `(0.8 * revenue) - costs = profit`. This profit is also paid out monthly.

### Pay-per-result unit pricing for cost computation

| Service | Unit price |
|---------------------------------|----------------------------|
| Compute unit | **$0.4** / CU |
| Residential proxies | **$13** / GB |
| SERPs proxy | **$3** / 1,000 SERPs |
| Data transfer - external | **$0.20** / GB |
| Data transfer - internal | **$0.05** / GB |
| Dataset - timed storage | **$1.00** / 1,000 GB-hours |
| Dataset - reads | **$0.0004** / 1,000 reads |
| Dataset - writes | **$0.005** / 1,000 writes |
| Key-value store - timed storage | **$1.00** / 1,000 GB-hours |
| Key-value store - reads | **$0.005** / 1,000 reads |
| Key-value store - writes | **$0.05** / 1,000 writes |
| Key-value store - lists | **$0.05** / 1,000 lists |
| Request queue - timed storage | **$4.00** / 1,000 GB-hours |
| Request queue - reads | **$0.004** / 1,000 reads |
| Request queue - writes | **$0.02** / 1,000 writes |

:::note What are Gigabyte-hours?

Gigabyte-hours (GB-hours) are a unit of measurement used to quantify data storage and processing capacity over time.
To calculate GB-hours, multiply the amount of data in gigabytes by the number of hours it's stored or processed.

Suppose you host 50GB of data for 30 days. To calculate this in GB-hours:

- Convert days to hours: _30 * 24 = 720_
- Multiply data size by hours: _50 * 720 = 36,000_

This means that storing 50 GB of data for 30 days results in 36,000 GB-hours.

:::

Note that only revenue and cost for Apify customers on [paid plans](https://apify.com/pricing) are taken into consideration when computing your profit. Users on free plans are not reflected there, although you can see statistics about the potential revenue of users that are currently on free plans in Actor insights in the Apify Console.

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