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Contexts Library

The Contexts Library is a convenient, account-wide repository, ensuring consistent context testing across your organisation

Angus Bingham avatar
Written by Angus Bingham
Updated over 3 weeks ago

How does it work?

Testing your visual content in its final context is vital to ensuring your audience will notice and engage with it. The Contexts feature will allow you to quickly and easily mock up your content into a context image of your choosing; ultimately allowing you to test how likely your content is to be seen in the real world.


Creating New Context

The Context Library is a feature that acts as a repository for your Context background imagery. These images can be used account-wide for quick and consistent collaboration.

Upload a selection of environment images, draw their dropzones, and select their usecase (possibly adding them to a Context Pack). Then, upon creating a new study under the same usecase, you can select the Context Images or Pack to be applied to your study, which will give you a more comprehensive layer of analysis across a range of contexts.

Finding Context Images

In order for optimal context testing across a use-case, the chosen collection of context imagery must be consistent and high-quality. There are multiple steps to take in order to ensure your success:

  • Testing across a multitude of locations allows you to ensure high stand-out across any channel (Tesco, Target, Walmart, etc).

  • Ensure the view you are testing is the same as, or similar to, how your customers will view the scene you are testing (correct resolution and aspect ratio for your images).

  • Need context images for different platforms like mobiles or tablets? No problem! On Chrome, you can quickly adjust the aspect ratio of a webpage by pressing F12 or right-clicking and selecting ‘Inspect’.

Adding Image and Drop Zones

Once you’ve uploaded your context image, it’s time to define a drop zone—marking where your testing content will appear within its intended environment.

  1. Open the Context tab from the left panel. This is where all your context images are stored and bundled into packs.

  2. Select your context image to upload - it follows the same file requirements as asset media.

  3. Assign the correct usecase for easy organisation and selection.

  4. Adjust your drop zone to ensure your content fits perfectly within the environment.

  5. Choose whether to fill the background for a realistic look or leave it transparent using the toggle.

You should end up with an upload page similar to this:

Your new Context should now appear in the Context Library with the correct Use Case attached. This can now be pulled into any Study, whenever you select the same usecase.

Adding Multiple Images to One Context

Context Packs act as a collection of context backgrounds for a Use Case. These packs are account-wide and can be used to instantly and consistently test new imagery in a multitude of contexts. Context Packs are built using context images that have already been uploaded to the library. Ensure your chosen context images are already uploaded before you start to build your Context Pack.

To start, select the Contexts Pack tab and create a new pack. A new page will open and you will be able to select any Context Images that match your given Use Case from the library to add to the pack.

Once you've selected your chosen context images, click 'Save' in the corner to save the pack, this option leaves the pack in a draft state, allowing you to make further changes. The 'Save & Publish' option, will publish the pack, meaning the content inside cannot be changed. This keeps your data integrity secure, ensuring any analysis done using the Context Pack isn't affected. Only published packs will be available for use in Studies.


Applying Context to your Study

After successfully creating your own Context Packs, or if you’re content with the packs provided, when you create a new study you’ll now be able to apply them in the Context step.

This will deliver a predicted visibility score of your assets within the many simulated environments previously created.

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