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merged 5 commits into from
Sep 17, 2024

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Created a documentation for new source integration called Quin AI.

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ASAP once approved.

@eren-quinengine eren-quinengine requested a review from a team as a code owner August 27, 2024 13:32
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# Quin AI Documentation

---
Quin AI Source
---
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# Quin AI Documentation
---
Quin AI Source
---
---
title: Quin AI Source
id:
---

Quin AI Source
---

Quin AI is the first deep learning, real-time behaviour prediction system dedicated to e-commerce conversion optimisation, for growth and profitability.
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Quin AI is the first deep learning, real-time behaviour prediction system dedicated to e-commerce conversion optimisation, for growth and profitability.
Quin AI is the first deep learning, real-time behavior prediction system dedicated to e-commerce conversion optimization, for growth and profitability.


Quin AI is the first deep learning, real-time behaviour prediction system dedicated to e-commerce conversion optimisation, for growth and profitability.

This source is maintained by Quin Audience Engine. For any issues with the source, [contact their Support team](mailto:hello@quinengine.com).
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This source is maintained by Quin Audience Engine. For any issues with the source, [contact their Support team](mailto:hello@quinengine.com).
This source is maintained by Quin Audience Engine. For any issues with the source, [contact the Quin Audience Engine Support team](mailto:hello@quinengine.com).

Comment on lines 15 to 18
3. On the next screen, give the Source a name configure any other settings.

- The name is used as a label in the Segment app, and Segment creates a related schema name in your warehouse. The name can be anything, but we recommend using something that reflects the source itself and distinguishes amongst your environments (eg. SourceName_Prod, SourceName_Staging, SourceName_Dev).

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3. On the next screen, give the Source a name configure any other settings.
- The name is used as a label in the Segment app, and Segment creates a related schema name in your warehouse. The name can be anything, but we recommend using something that reflects the source itself and distinguishes amongst your environments (eg. SourceName_Prod, SourceName_Staging, SourceName_Dev).
3. On the next screen, give the Source a name configure any other settings.
- The name is used as a label in the Segment app, and Segment creates a related schema name in your warehouse. The name can be anything, but we recommend using something that reflects the source itself and distinguishes amongst your environments (eg. SourceName_Prod, SourceName_Staging, SourceName_Dev).


4. Click **Add Source** to save your settings.
5. Copy the Write key from the Segment UI.
6. Log in to your [Quin account](https://portal.quinengine.com/) - navigate to Integrations > Segment > Settings and paste the write key to connect.
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6. Log in to your [Quin account](https://portal.quinengine.com/) - navigate to Integrations > Segment > Settings and paste the write key to connect.
6. Log in to your [Quin account](https://portal.quinengine.com/){:target="_blank”} and navigate to Integrations > Segment > Settings.
7. On the Settings page, paste your Segment write key to connect.


## Adding Destinations

Now that your Source is set up, you can connect it with Destinations.
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Now that your Source is set up, you can connect it with Destinations.
Now that your Source is set up, you can connect to Destinations.


## Stream

Quin AI uses our stream Source component to send Segment event data. It uses a server-side `track` and `identify` method(s) to send data to Segment. These events are then available in any destination that accepts server-side events, and available in a schema in your data warehouse, so you can query using SQL.
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Quin AI uses our stream Source component to send Segment event data. It uses a server-side `track` and `identify` method(s) to send data to Segment. These events are then available in any destination that accepts server-side events, and available in a schema in your data warehouse, so you can query using SQL.
Quin AI uses a stream Source component to send Segment event data. It uses server-side Track and Identify methods to send data to Segment. These events are then available in any destination that accepts server-side events and available in a schema in your data warehouse that you can query using SQL.

@forstisabella forstisabella added the new-integration Added a new source or destination label Aug 27, 2024
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### Quin AI Source
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@forstisabella forstisabella Aug 29, 2024

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### Quin AI Source
---
title: Quin AI Source
id: WGp9SQFRVu
---

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hi - this frontmatter helps the documentation render correctly. Without it, the page will not render properly on the site.


### Quin AI Source

Quin AI is the first deep learning, real-time behavior prediction system dedicated to e-commerce conversion optimization, for growth and profitability.
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Quin AI is the first deep learning, real-time behavior prediction system dedicated to e-commerce conversion optimization, for growth and profitability.
Quin AI is the first deep learning, real-time behavior prediction system dedicated to e-commerce conversion optimization for growth and profitability.

1. From your workspace's Source page, click **Add Source**.
2. Search for "Quin AI" in the Sources Catalog, select Quin AI, and click **Add Source**.
3. On the next screen, give the Source a name configure any other settings.
- The name is used as a label in the Segment app, and Segment creates a related schema name in your warehouse. The name can be anything, but we recommend using something that reflects the source itself and distinguishes amongst your environments (eg. SourceName_Prod, SourceName_Staging, SourceName_Dev).
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- The name is used as a label in the Segment app, and Segment creates a related schema name in your warehouse. The name can be anything, but we recommend using something that reflects the source itself and distinguishes amongst your environments (eg. SourceName_Prod, SourceName_Staging, SourceName_Dev).
- The name is used as a label in the Segment app, and Segment creates a related schema name in your warehouse. The name can be anything, but we recommend using something that reflects the source itself and distinguishes amongst your environments (eg. QuinAI_Prod, QuinAI_Staging, QuinAI_Dev).

- The name is used as a label in the Segment app, and Segment creates a related schema name in your warehouse. The name can be anything, but we recommend using something that reflects the source itself and distinguishes amongst your environments (eg. SourceName_Prod, SourceName_Staging, SourceName_Dev).
4. Click **Add Source** to save your settings.
5. Copy the Write key from the Segment UI.
6. Log in to your [Quin account](https://portal.quinengine.com/) and navigate to Integrations > Segment > Settings.
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We add the {:target="_blank”} attribute to ensure all links external to the segment.com/docs/ subdomain open in a new tab - this way, our mutual customers won't have to find these docs while they're halfway through setting up this source!

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6. Log in to your [Quin account](https://portal.quinengine.com/) and navigate to Integrations > Segment > Settings.
6. Log in to your [Quin account](https://portal.quinengine.com/){:target="_blank”} and navigate to Integrations > Segment > Settings.


## Stream

Quin AI uses a stream Source component to send Segment event data. It uses server-side Track and Identify methods to send data to Segment. These events are then available in any destination that accepts server-side events and available in a schema in your data warehouse that you can query using SQL.
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Quin AI uses a stream Source component to send Segment event data. It uses server-side Track and Identify methods to send data to Segment. These events are then available in any destination that accepts server-side events and available in a schema in your data warehouse that you can query using SQL.
Quin AI uses a stream Source component and Track and Identify methods to send event data to Segment. These events are then available in any destination that accepts server-side events and as a schema in your data warehouse that you can query using SQL.


Quin AI uses a stream Source component to send Segment event data. It uses server-side Track and Identify methods to send data to Segment. These events are then available in any destination that accepts server-side events and available in a schema in your data warehouse that you can query using SQL.

The default behavior is for Quin AI to pass the event data associated with the anonymous userId.
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The term anonymousId is something that Segment refers to in the Identify Spec: https://segment.com/docs/connections/spec/identify/#anonymous-id

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The default behavior is for Quin AI to pass the event data associated with the anonymous userId.
The default behavior is for Quin AI to pass the event data associated with the anonymousId.


## Events

The table below lists events that Quin sends to Segment. These events appear as tables in your warehouse, and as regular events in other Destinations.
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The table below lists events that Quin sends to Segment. These events appear as tables in your warehouse, and as regular events in other Destinations.
The table below lists events that Quin sends to Segment. These events appear as tables in your warehouse and as regular events in other Destinations.


Log into your downstream tools and check to see that your events appear as expected, and that they contain all of the properties you expect.

If there are any issues with how the events are arriving to Segment, [contact the Quin AI support team](mailto:hello@<quinengine.com).
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If there are any issues with how the events are arriving to Segment, [contact the Quin AI support team](mailto:hello@<quinengine.com).
If there are any issues with how the events are arriving to Segment, [contact the Quin AI support team](mailto:hello@quinengine.com).

@forstisabella
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Hi @eren-quinengine - please take another look at this PR, I'd love to help you get these docs published!

@forstisabella forstisabella merged commit 43f0926 into segmentio:develop Sep 17, 2024
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Thank you for your contribution! Your pull request is merged, but may take a day or two to appear on the site.

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