What is Cyris?
Imagine if we harvested every impression, from every media investment we’ve managed, filtered by 60+ dimensions — with the purpose of identifying the most effective combination of media investments for every business objective imaginable.
And imagine if that intelligence property got better, smarter, faster with every impression it ingested.
We made “what if” a reality. Welcome to CYRIS.
125+
Advertisers
50+
Channels
30+
Unique DSPs
60+
Industries
60+
Dimensions
How CYRIS Works
Our data schema includes dimensions such as revenue, leads, store visits and other important data sets, allowing us to synthesize data using data that matters — actual business outcomes.
When you scale this application across thousands of campaigns, across all verticals and industries, a clear picture can be painted on what types of media investments are most likely to perform and what results you can expect any type of media investment to deliver.
The Future of CYRIS
CYRIS continues to get more and more powerful with every media investment we manage, enhancing our predictive modeling possibilities, creating the opportunity for AI applications and — ultimately — an intelligence technology built to decipher which media investments will yield the highest returns across any outcome imaginable.
As we build the ability to layer in each client’s data directly, this will allow us to personalize each analysis and best predict the future and expected return on investments from various scenarios before we activate.
When we also layer in the ability to ingest client data — such as historical sales performance, market-level information and other data sets — into our predictive algorithm, we should be able to accurately forecast outcomes to better estimate the expected return/results from various scenario plans.
We may not be able to predict the future — but we’ll be pretty damn close.
The Future of CYRIS
CYRIS continues to get more and more powerful with every media investment we manage, enhancing our predictive modeling possibilities, creating the opportunity for AI applications and — ultimately — an intelligence technology built to decipher which media investments will yield the highest returns across any outcome imaginable.
As we build the ability to layer in each client’s data directly, this will allow us to personalize each analysis and best predict the future and expected return on investments from various scenarios before we activate.
When we also layer in the ability to ingest client data — such as historical sales performance, market-level information and other data sets — into our predictive algorithm, we should be able to accurately forecast outcomes to better estimate the expected return/results from various scenario plans.
We may not be able to predict the future — but we’ll be pretty damn close.