editing pass [netlify-build]

Author: forstisabella

src/engage/audiences/recommendation-audiences.md

@@ -2,9 +2,9 @@
 title: Recommendation Audiences
 plan: engage-foundations
 ---
-A Recommendation Audience lets you select a parameter and then build an audience of the people that are most likely to engage with that parameter. Segment optimized the personalized recommendations built by Recommendation Audiences for user-based commerce, media, and content affinity use cases. 
+Recommendation Audiences lets you select a parameter and then build an audience of the people that are most likely to engage with it. Segment optimized the personalized recommendations built by Recommendation Audiences for user-based commerce, media, and content affinity use cases. 
 
-You can use Recommendation Audiences to create audiences that power the following common marketing campaigns: 
+You can use Recommendation Audiences to power the following common marketing campaigns: 
 
 - **Cross-selling**: Identify an audience of users who recently purchased a laptop and send those customers an email with a discount on items in the "laptop accessories" category. 
 - **Upselling**: Identify an audience of users who regularly interact with your free service and send them a promotion for your premium service. 
@@ -15,8 +15,8 @@ You can use Recommendation Audiences to create audiences that power the followin
 
 ## Create a Recommendation Audience
 
-### Step 1: Set up your Recommendation Catalog
-A Recommendation Catalog identifies the product events you'd like to generate recommendations from
+### Set up your Recommendation Catalog
+A Recommendation Catalog identifies the product events you'd like to generate recommendations from and maps those events against your existing data set.
 
 To create your Recommendation Catalog:
 1. Open your Engage space and navigate to **Engage** > **Engage Settings** > **Recommendation catalog**. 
@@ -30,13 +30,13 @@ To create your Recommendation Catalog:
 > warning ""
 > Segment can take several hours to create your Recommendation Catalog. 
 
-### Create your Recommendation Audiences
+### Create your Recommendation Audience
 Once you've created your Recommendation Catalog, you can build a Recommendation Audience. A Recommendation Audience lets you select a parameter and then build an audience of the people that are most likely to engage with that parameter. 
 
 To create a Recommendation Audience: 
 1. Open your Engage space and click **+ New audience**. 
 2. Select **Recommendation Audience** and click **Next**. 
-3. Select a property and value that you'd like to build your audience around (for example, if the property was "Company", you could select a value of "Twilio"). For values that haven't updated yet, enter an exact value into the **Enter value** field. If you're missing a property, return to your [Recommendation catalog](#step-1-set-up-your-recommendation-catalog) and update your mapping to include the property. 
+3. Select a property and value that you'd like to build your audience around (for example, if the property was "Company", you could select a value of "Twilio"). For values that haven't updated yet, enter an exact value into the **Enter value** field. If you're missing a property, return to your [Recommendation catalog](#set-up-your-recommendation-catalog) and update your mapping to include the property. 
 4. Set an maximum audience size by selecting one of the pre-populated options, or move the slider to create a custom audience. Segment recommends audiences that contain less than the top 20% of your audience because as the size of your audience increases, the propensity to purchase typically decreases. See [Best practices](#best-practices) for more information.
 5. When you've filled out all fields, click **Next** to continue. 
 6. On the Select Destinations page, select any destinations you'd like to sync your audience to and click **Next**.
@@ -47,6 +47,6 @@ To create a Recommendation Audience:
 
 ## Best practices
 
-- When mapping events to the model column during the set up process for your [Recommendation catalog](#step-1-set-up-your-recommendation-catalog), select the event property that matches the model column. For example, if you are mapping to model column ‘Brand’, select the property that refers to ‘Brand’ for each of the selected interaction events.
+- When mapping events to the model column during the set up process for your [Recommendation catalog](#set-up-your-recommendation-catalog), select the event property that matches the model column. For example, if you are mapping to model column ‘Brand’, select the property that refers to ‘Brand’ for each of the selected interaction events.
 - Because a number of factors (like system load, backfills, or user bases) determine the complexity of an Audience, some compute times take longer than others. As a result, **Segment recommends waiting at least 24 hours for an Audience to finish computing** before you resume working with the Audience.
 - As the size of your audience increases, the propensity to purchase typically decreases. For example, an audience of 100k people that represents the top 5% of your customers might be more likely to purchase your product, but you might see a greater number of total sales if you expanded the audience to a million people that represent the top 50% of your customer base.