Connecting audiences across platforms is a challenge
The demise of 3rd-party cookies causing a precipitous drop in match rates.
Connect your Adobe audiences to Google and Facebook using first-party data
There is a better way
Become more effective in advertising through the use of first-party data
Your visitors’ behavior is trying to tell you how likely they are to buy. Algorithms translate that data
Better Match Rates
DMP match rates are dropping; bypass them to connect your first-party audiences directly to advertising networks
Eliminate the manual work associated with building custom audiences for each advertising network
Build transparent AI/ML models to target advertisements more accurately (and save a ton of money) or reach a broader audience in the most cost-effective way.
As third-party cookies and data fade, a strong first-party data strategy and platform is more important than ever
Combine all of your digital identifiers and pick the best one for matching to each advertising platform.
Allows advertising and audience professionals to easily build both rules-based audiences and Algorithmic Audiences with custom AI/ML algorithms
Activate your audiences in DSPs and/or AMPs on a continually ongoing basis so they’re always up to date for the best performance
reduction in ad spend with the same return
match-rate between Google and Adobe audiences
reduction in time and effort to build audiences
The benefits of first-party audiences are clear
Improved match rates
Scale first-party audiences to address more visitors in a cost-effective way
No tags needed
Unlike DMPs, there is no need to deploy and configure another website tag
No more delays
Avoid the back-and-forth with data, data science, and audience teams
Less manual work
Build custom audiences once and automatically activate to display, search, social, email, and notifications
Audiences in practice
In an effort to increase online sales, Lenovo is scoring purchasing intent, then segmenting and targeting customers who are most likely to buy.
A global airline uses Syntasa to build audiences and propensity models in order to predict and target those travelers most likely to purchase tickets for specific flight routes.
A multinational Electronics Company used algorithms to expand audiences beyond business rules and execute advertising campaigns in the most cost-effective way possible.