Campaign Reach

The Campaign Reach available on our Reports will give you more insights on the audience you managed to deliver your campaign to.

In Ogury One, you have access to multiple dashboards and reports giving you a clear view of your Reach, your impressions and of course your campaign frequency.

You will find on this page more information about those 3 metrics.

Available data

1. Reach: number of devices where your ad was seen at least once

2. Impressions: total number of times your ad was displayed (including all devices, network, formats..etc.)

3. Frequency: number of impressions done on the same device. Frequency is calculated by dividing the number of impressions by the reach.

Those 3 metrics should be reviewed together to understand how your campaign performed against your targeted audience. You can also work with Ogury’s teams to go deeper into your audience analysis thanks to our Post Campaign Reports.

Reach out to your local team to have additional insights on your campaign!

How to access your Reach data in Ogury One?

Go on your Reporting module and select “Campaign Dashboard”. You should have the Reach, impressions and frequency available at first glance:

Ogury One Campaign Dashboard

You can download or schedule the data if you need to. Learn more about all the Reporting capabilities : Ogury One reporting capabilities.

Learn more about Ogury’s unique Reach model

Digital advertising is undergoing a major transformation. Between the gradual disappearance of identifiers and evolving privacy regulations, tracking user IDs is just not sustainable anymore.

At Ogury, we believe Privacy is the heart of a strong and future-proof digital advertising. This is why our Reach is not tracking people but devices. In other words, we never use Personal identifiable information to compute our Reach.

How do we track devices?

When possible, we are collecting unique device IDs to track our total number of devices and determine our Reach.

But in some cases, privacy regulations have pushed many vendors to limit the information shared with other vendors. For example, Intelligent Tracking Prevention (ITP), App Tracking Transparency (ATT), Firefox Enhanced Tracking Protection are multiple entities that are preventing direct device identification.

Ogury has thus created a unique model based on ratios computed from historical and current data that offer a strong and future-proof Reach to its clients.

Ogury’s unique Reach model

1. We use our historical data (including user identifiers) that we relate to impressions

2. We create a unique probabilistic model (called ratio) to estimate the reach taking into account the following dimensions:

   1. Country

   2. Environment (in-app and web)

   3. Number of impressions

3. Lastly, we apply our ratios to our campaigns depending on the country, environment, browsers and OS.

Thanks to our unique methodology, we can determine a global reach that is extremely accurate, respects the user's privacy and compensates for the lack of device IDs from certain OS or browsers.

FAQ

Which data model are you using for the Reach calculation?

The underlying model is an exponential decay curve. We elected this model due to its simplicity, robustness and good accuracy.

Parameters have been estimated using multiple cross-validation over a long-time period.

Representation of our model logic, based on historical ratio & probabilistic evolution through time.

How are you going to keep accurate ratios moving forward?

Training datasets to update the model can be obtained using privacy-enhancing technologies such as Google Privacy Sandbox.