Add new Correlated destination docs

.github/styles/segment/relative-url.yml

@@ -3,5 +3,4 @@ message: 'Link to Segment docs "%s" must be relative.'
 level: warning
 scope: raw
 raw:
-  - '\[.+\]\(https://(www.)?segment.com/docs.*\)'
-
+  - '\[.+\]\(https://(www.)?segment.com/docs.*\)'

src/connections/destinations/catalog/correlated/index.md

@@ -0,0 +1,79 @@
+---
+title: Correlated Destination
+id: 60df6d4c038b872f10c54801
+---
+
+[Correlated](https://www.getcorrelated.com/?utm_source=segmentio&utm_medium=docs&utm_campaign=partners){:target="_new"} is the first product-led revenue platform built to help you and your sales teams take action based on how customers are using your product.
+
+This destination is maintained by Correlated. For any issues with the destination, [contact the Correlated Support team](mailto:support@getcorrelated.com).
+
+> success ""
+> Set up a free account with Correlated by visiting their [website](https://www.getcorrelated.com/get-started){:target="_new"}.
+
+## Getting Started
+
+### Connect with OAuth
+1. Log in to the Correlated application. 
+2. Go to [Correlated integrations](https://app.getcorrelated.com/integrations) and select the Segment integration.
+3. Click **Connect to Segment** to connect with OAuth. 
+4. Select the relevant Sources that you want to include (Correlated recommends that you include your website and application)
+
+### Connect with an API Key
+1. From the Destinations catalog page in the Segment App, click **Add Destination**.
+2. Search for "Correlated" in the Destinations Catalog, and select the "Correlated" destination.
+3. Choose which Source should send data to the "Correlated" destination.
+4. Go to [Correlated integrations](https://app.getcorrelated.com/integrations) and click on the "Segment" integration.
+5. Copy the "Segment API key".
+6. Enter the "Segment API Key" in the "Correlated" destination settings in Segment.
+
+## Supported Methods
+
+Correlated supports the following methods. 
+
+### Page
+
+If you aren't familiar with the Segment Spec, take a look at the [Page method documentation](/docs/connections/spec/page/) to learn about what it does. An example call would look like:
+
+```js
+analytics.page()
+```
+
+Segment sends Page calls to Correlated as a `page` event. Correlated displays these events as `Page views` by default. 
+
+
+### Group
+
+If you aren't familiar with the Segment Spec, take a look at the [Group method documentation](/docs/connections/spec/group/) to learn about what it does. An example call would look like:
+```js
+analytics.group("0e8c78ea9d97a7b8185e8632", {
+  name: "Initech",
+  industry: "Technology",
+  employees: 329,
+  plan: "enterprise",
+  "total billed": 830
+});
+```
+
+Segment sends Group calls to Correlated as a `group` event. `Group` events are augmented with group traits. Correlated displays these events as `Accounts` by default. It's best to include a name as a trait, as Correlated will use this to populate Account views by default.
+
+### Identify
+
+If you aren't familiar with the Segment Spec, take a look at the [Identify method documentation](/docs/connections/spec/identify/) to learn about what it does. An example call would look like:
+
+```js
+analytics.identify('userId123', {
+  email: 'john.doe@example.com'
+});
+```
+
+Segment sends Identify calls to Correlated as an `identify` event. Correlated displays these events as `Users` by default. `Track` event data is augmented with identify traits. It's best to include email as a trait, as Correlated will use email to populate User views by default. 
+
+### Track
+
+If you aren't familiar with the Segment Spec, take a look at the [Track method documentation](/docs/connections/spec/track/) to learn about what it does. An example call would look like:
+
+```js
+analytics.track('Login Button Clicked')
+```
+
+Segment sends Track calls to Correlated as a `track` event. Track events should be flattened whenever possible. For example, rather than "Button Click" as a track event with "Onboarding Form Submit" as a property, use "Onboarding Form Submit Button Click". `Product Events` can be filtered and grouped by identify traits or group traits.