diff --git a/deploy-manage/cloud-organization/billing/elasticsearch-billing-dimensions.md b/deploy-manage/cloud-organization/billing/elasticsearch-billing-dimensions.md
index ac76bcec9..5ff5af0d6 100644
--- a/deploy-manage/cloud-organization/billing/elasticsearch-billing-dimensions.md
+++ b/deploy-manage/cloud-organization/billing/elasticsearch-billing-dimensions.md
@@ -40,7 +40,7 @@ For detailed {{es-serverless}} project rates, see the [{{es-serverless}} pricing
 You can control costs using the following strategies:
 
 * **Search Power setting:** [Search Power](../../deploy/elastic-cloud/project-settings.md#elasticsearch-manage-project-search-power-settings) controls the speed of searches against your data. With Search Power, you can improve search performance by adding more resources for querying, or you can reduce provisioned resources to cut costs.
-* **Time series data retention:** By limiting the number of days of [time series data](../../../solutions/search/ingest-for-search.md#elasticsearch-ingest-time-series-data) that are available for caching, you can reduce the number of search VCUs required.
+* **Search boost window**: By limiting the number of days of [time series data](../../../solutions/search/ingest-for-search.md#elasticsearch-ingest-time-series-data) that are available for caching, you can reduce the number of search VCUs required.
 * **Machine learning trained model autoscaling:** Configure your trained model deployment to allow it to scale down to zero allocations when there are no active inference requests:
 
     * When starting or updating a trained model deployment, [Enable adaptive resources](../../autoscaling/trained-model-autoscaling.md#enabling-autoscaling-in-kibana-adaptive-resources) and set the VCU usage level to **Low**.