KERV Targeting Flashcards
What is KERV’s value proposition for targeting without cookies?
KERV uses our 1st party engagement data for deterministic (real human interaction), cookie-free targeting across platforms.
What data does KERV use for audience targeting?
1) Site/Page Level Data: typical Ad data that everyone gets
2) 1st Party Interactor data: When users interact with our interactive ads we are able to keep track of them and what they’re interested in
3) Retargeting on campaign - taking both of the above we’re able to retarget uses with products and verticals they’ve shown interest in
How does KERV’s AI-driven contextual targeting work?
Kerv’s AI analyzes site/page level data across the web understanding, based on an IP address, what content that user as consumed or site they have visited recently. We are then able to retarget based on assumed interests or web actions.
What sets KERV’s interactor engagement data apart?
KERV captures 25+ real-time signals which are 1st party deterministic interactions, truly showcasing a human is in front of the screen and leaned in.
How does KERV use retargeting and sequential messaging?
KERV retargets based on contextual and 1st party engagement data, evolving ads as users move through the funnel.
What is the best practice for custom audience segments?
We suggest using a blended targeting approach, employing both 3rd and 1st party data to leverage highly leaned in consumers with scale.
Further, we try to use a seed set of at least 5 million unique visitors for adequate scale.
How does KERV improve campaign performance?
KERV’s targeting increases CTR by 1.5x, leveraging 1P retargeting.
Which industries benefit from KERV’s proprietary targeting?
All industries and verticals benefit from KERV’s data
How does KERV’s retargeting differ from traditional contextual targeting?
KERV retargets based on user engagement, not just keywords, making it more effective.
What proof points show KERV’s effectiveness?
KERV’s ads increase action likelihood by 32%, and 1P retargeting boosts CTR.