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Under the hood: Normalised vs. non-normalised indices
Under the hood: Normalised vs. non-normalised indices

Adsquare introduces the non-normalised index for raw data transparency in poster analytics, offering users valuable insights.

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Written by Dominick Banks
Updated over a week ago

At Adsquare, we've always sought to provide you with tools that empower you to make informed data-driven decisions. Our new non-normalised index takes transparency and precision to new heights, offering you an unfiltered view into your poster data and enabling you to achieve even greater clarity when using our platform.

The two indexing methods

Normalised index

Up until now, our focus has been on the normalised index, centring audience indices around a value of 1 where >1 signifies higher precision, and <1 implies a broader reach. This approach makes data more comparable and visualisations clearer, enabling interpretations.

Non-normalised index

Our new non-normalised index feature presents a different angle โ€“ raw numbers that offer additional transparency. Instead of a centred value around 1, this index provides you with unprocessed data. This approach is particularly useful when you're seeking to gain insight into the unfiltered figures, allowing you to fully comprehend the intricacies of our calculation and replicate it with confidence.

Understanding index normalisation

In short, index normalisation is how Adsquare weights user engagement around your inventory.

The index normalisation calculation factors in the average ratio between all users seen around your posters and users within the target group across selected campaign locations. This meticulous analysis is ideal for a comprehensive understanding of user engagement within your target group.

Imagine the normalised index as the dynamic content displayed on digital billboards. Just like how these screens change to show tailored messages to different audiences, the normalised index centres the data around a common reference point. Similar to how dynamic content adapts to different scenarios, an index value greater than 1 represents high precision โ€“ like showcasing the perfect message to a specific audience segment. An index value less than 1 signifies broader reach โ€“ like ensuring your message reaches a wider audience.

Now, think of the non-normalised index as the unedited insights that inform your DOOH strategy. It's like having access to the raw copy points before it's polished into a final advertising message. The non-normalised index provides you with the actual numbers, unfiltered and unadjusted.

The power of choice

Weโ€™ve made switching between the two indices easy. By unchecking the 'Normalise Index' box in the inventory filter menu you can seamlessly transition to the unfiltered, non-normalised index calculation. This flexibility empowers you to clearly access the untouched data in your export file.

How to access the non-normalised index

  1. Log in to your the OOH planner

  2. Create your campaign and model your audience

  3. Navigate to the filters widget

  4. Locate the "Index Normalisation" checkbox

  5. Uncheck the box to activate the non-averaged (non-normalised) index calculation

We are excited about the potential this enhancement brings to your data analysis endeavors. It aligns with our commitment to providing you with the finest solutions in the most transparent manner.

Should you have any inquiries or require assistance, our support team is at your service. Feel free to reach out directly to your Account Manager or email support@adsquare.com.

Thank you for entrusting Adsquare as your partner in data-driven OOH planning and activation.

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