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Copy file name to clipboardExpand all lines: articles/cost-management-billing/savings-plan/choose-commitment-amount.md
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# Choose an Azure saving plan commitment amount
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Savings plan purchase recommendations are calculated by analyzing your hourly usage data over the last 7, 30, and 60days. Azure simulates what your costs would have been if you had a savings plan and compares it with your actual pay-as-you-go costs incurred over the time duration. The commitment amount that returns the greatest savings is recommended. Recommendations are generated for the selected term and benefit scope. To learn more about how recommendations are generated, see [How savings plan recommendations are generated](purchase-recommendations.md#how-savings-plan-recommendations-are-generated).
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Savings plan purchase recommendations are calculated by analyzing your hourly pay-as-you-go usage and cost data. Recommendations are generated for the selected savings plan term (1- or 3-years), [benefit scope](scope-savings-plan.md) (shared, subscription and look back period (7-, 30-, or 60-days). For each term, benefit scope and look back period combination, Azure simulates what your total costs would have been if you had a savings plan, and compares this simulated cost to the pay-as-you-go costs you actually incurred. The commitment amount that returns the greatest savings for each term, benefit scope and look back period combination is highlighted. To learn more about how recommendations are generated, see [How savings plan recommendations are generated](purchase-recommendations.md#how-savings-plan-recommendations-are-generated).
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Currently, savings plan recommendations in [Azure Advisor](https://portal.azure.com/#view/Microsoft_Azure_Expert/AdvisorMenuBlade/~/Cost), and within the savings plan purchase experience in [Azure portal](https://portal.azure.com/), are solely based on the last 30 days of usage. Savings plan recommendations from the [savings plan benefit recommendations API](/rest/api/cost-management/benefit-recommendations/list) are available for 7, 30 and 60 day look back periods.
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Azure doesn't currently provide savings plan recommendations for management groups. See [Recommendations for management groups](choose-commitment-amount.md#recommendations-for-management-groups)for more details
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## Recommendations for management groups
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Savings plan recommendations are available [Azure Advisor](https://portal.azure.com/#view/Microsoft_Azure_Expert/AdvisorMenuBlade/~/Cost), [Azure portal](https://portal.azure.com/) and the [Savings plan benefit recommendations API](/rest/api/cost-management/benefit-recommendations/list).
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## Recommendations in Azure Advisor
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Recommendations for 1- and 3-year savings plans in [Azure Advisor](https://portal.azure.com/#view/Microsoft_Azure_Expert/AdvisorMenuBlade/~/Cost) are currently only available for subscription scopes. These recommendations currently only have a 30-day look back period.
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## Recommendations in Azure portal
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Recommendations for 1- and 3-year savings plans in [Azure portal](https://portal.azure.com/) are available for shared, subscription, and resource group scopes. These recommendations currently only have a 30-day look back period.
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## Savings plan Recommendations API
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1- and 3-year savings plan recommendations from the [Savings plan benefit recommendations API](/rest/api/cost-management/benefit-recommendations/list) are available for shared, subscription and resource group scopes. These recommendations are available for 7-, 30- and 60-day look back periods.
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## Recommendations for management groups
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Currently, the Azure portal doesn't provide savings plan recommendations for management groups. As a workaround, you can perform the following steps:
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1. Aggregate the recommended hourly commitments for all subscriptions within the management group.
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2. Purchase up to ~70% of the above value.
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3. Wait at least 3 days for the newly purchased savings plan to affect your subscription recommendations.
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3. Wait at least three days for the newly purchased savings plan to affect your subscription recommendations.
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4. Repeat steps 1-3 until you have achieved your desired coverage levels.
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