When you create a video in the SundaySky Video Platform, you can either create one version that all your viewers will see or personalize the video so that viewers will see a version that is customized especially for them. Personalization can take many forms, from addressing viewers by their first name to displaying messages to viewers according to a segment to which they belong.

In order to enable this personalization, you need to connect the data that exists in your company to the video that you are creating.

Connecting your data to the SundaySky Video Platform includes a number of steps. This article describes these steps and gives you all the information you need to start personalizing your video quickly and easily.



Steps 2,5, and 6 as described in this article are relevant to you only if you are uploading your data manually using a file in CSV format. If you are using any other data integration method, the data library is managed by your SundaySky Project Manager.


Currently, it is only possible to connect data to programs created for owned media. In the future, it will also be possible to connect data to programs created for paid media.


Step 1

Plan how you want to personalize your video.

In this step, you'll need to decide how you want to use the data in your company to personalize the scenes in your video. With the data that you have, you can add personalization using the following two methods of dynamic messaging:

1:1 Personalization

In 1:1 personalization, data from the company data record is used to create personalization.
You can personalize the on-screen text, the voice-over, or even show each viewer a unique media asset according to the URL in the data record that you provide to SundaySky.
Below is one example of 1:1 personalization:


Audience Messaging

In audience messaging, the video is personalized for a specific audience according to a predefined value that exists in the data record that you provide to SundaySky.

For example:
1. You create a data element named Age Group, with the following predefined values: Gen Y, Gen Z, Boomer, Senior.
2. You add one of the above predefined values to each data record according to the viewer's age.
3. When creating the video, you configure messages or voice-overs that are specific to each one of these age segments.
4. Videos sent to viewers belonging to a specific age segment will be personalized according to the relevant age group.


After you familiarize yourself with the two methods for dynamic messaging, you should know what company data you will use in the video that you are creating.



Step 2

Set up the data library.

In this step, you'll set up the data library that will be used in your video. This is a file—in CSV format— that defines all the data elements that you will use for personalization.

See Setting up the Data Library to learn how to create this file.



Step 3

Create your video and configure the data elements in the relevant scenes.

In this step, you'll create your video and personalize the scenes according to the data elements in your data library.

See the following articles for step-by-step guidance:
Configuring 1:1 Personalization (Text)
Configuring Messages for Different Audiences (Text)
Scripting a Voice-over with 1:1 Personalization
Scripting a Voice-over with Audience Messaging
Configuring a Button



Step 4

Publish your program.

In this step, you'll preview your program to make sure that all the content is configured correctly. Afterwards, you're ready to publish your program.

See Publishing a Program to learn more.



Step 5

Generate video links.

In this step, personalized links to the video you created are generated. These are the links that you will send to your viewers.

See Generating Video Links (CSV) to learn more.



Step 6 (optional)

Update the data library.

In this step—and only when needed—you can update your data library to add or remove data elements and predefined values.

See Updating the Data Library to learn more.

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