Carbon enables you to create segments based on levels of intent, brand affinity and a range of other parameters. As it learns, Carbon can save you time and automate this process through machine learning.
Using machine learning algorithms, Carbon automatically seeks out intelligent audiences for you. These audiences represent high value segments due to their desirable attributes such as being highly engaged. These can be exported quickly & easily to fuel marketing.
Carbon’s curated audiences are preset, off-the-shelf audience make-ups that can include specific intent, demographics, locations and more. These preset segments enable publishers to offer their advertisers a way to target specific customer types or communities within their network.
Publishers using Prebid header bidding can use Carbon to further segment & activate high performing audiences for further optimisation. For instance, publishers may want to segment audiences that clicked on an ad with a high CPM.
Quickly create & segment audiences using pre-determined, bespoke or rolling date ranges; and a range of attributes including property, device, location, and scored intent.
Carbon’s combined deep taxonomy and intent scoring algorithms enable publishers to create & segment audiences more accurately.
Our talented team of data scientists are always pushing the boundaries of what is possible with publisher data including our machine learning-driven segmentation techniques.
Using machine learning algorithms, Carbon uniquely scores its intent and brand affinity data for accurate segmentation.
Audience segments can be activated in realtime or via our integrations with the largest DSP & ad servers.
Regulatory compliant collection, segmentation and activation of data, with ISO 9001 and 27001 plus memberships to key bodies.