Define a Custom AudienceAll data in the Kochava Collective include a deterministic device identifier, enabling premium addressability. SDK data are cleaner than bid stream or IP-based data, and include behavioral attributes. Audience Builder provides simple, intuitive audience filtering to define the right audience for your message.
How the Kochava Collective Works
Third-party sources include select mobile media networks, direct app and game publishing partners, and other third-party data providers who are able to provide unique enrichment to the data set. All third-party data are put through a rigorous vetting process including a comprehensive fraud review, metadata verification, and activation addressability verification prior to going into the Collective.
Kochava does not use any data from our enterprise customers. The Kochava Collective is entirely separate from the Unified Audience Platform where enterprise customers measure their campaign activity. Kochava does not share or license the data of their enterprise customers.
Access Audience InsightsAudience Insights provides a snapshot of demographic (gender, age, geography), device (make, model, OS), and behavioral (apps on device, POI visited, IAB interests) attributes of an audience. The tool provides great value to both advertisers and publishers.
See a full Audience Insights report
Lookalike ModelingLookalike models are audiences that are substantially similar to a set of devices you upload to the system. By analyzing your devices for key characteristics:
Analyze the Seed—Success/Fail Scoring: All devices within the seed are given a score of 1 (success). An equal number of devices are given a score of 0 (fail). These devices are unlike the seed and determined by Gradient Boosting, a technique for predicting models.
Analyze Device History: Device characteristics like frequency of use, screen dimensions, app ratings, locations, apps installed, and more are analyzed to determine which devices in the Collective are most like the success group, and which are most unlike the fail group.
Device Ranking: The list of characteristics gathered from the device analysis are ranked from most important to least important. For each characteristic a single device ID has, it will receive a 1. The total of the scores is averaged to create an associated gain score between 0 and 1. This gain score predicts the likelihood that a device will behave like the seed audience. For example, if a device possesses every characteristic, it would receive a gain score of 1.
NTiles: Every unique device ID within the Collective is given a gain score. Devices with a score are separated into 100 separate ntiles with even device counts. For example, if 1M devices are scored, there will be 10K devices in each ntile.
Activation: Marketers determine the size of the desired target audience and export the new device ID list to the preferred activation partner(s).
A White-Label DMP For AllA premier feature of the Kochava Collective is the ability for advertisers, agencies, publishers, SSPs, DSPs, and networks to give their customers and partners access to a white-label version of the mobile audience platform to host their own unique data enriched by the broader Kochava Collective data set. This makes first-party data available privately where it can only be activated against a partner’s own media inventory, resulting in a complete solution for any large-scale mobile inventory owner or marketer who seeks to deliver a rich set of audience solutions for their digital advertising purposes.
A True Marketplace For Data Suppliers
Monetize pre-built segments or generate incremental revenue when your data are utilized in custom segment creation and lookalike modeled audiences.
All data usage is tracked within the data supply partner’s Kochava Collective dashboard where they can check on the health of their data feeds at any time.
For more information about Kochava Collective and a demo, please fill out this form and member of our team will reach out to you shortly.