Measure and Data Infrastructure
Learn how Promoted uses streaming data infrastructure to join and aggregate data to power machine learning and reporting.
real-time machine learning
data joining
aggregation
event processing
1 of 20
Promoted works by measuring everything in your app
1 of 20
processing that data
1 of 20
and then using that data in real-time machine learning,
1 of 20
reporting
1 of 20
and ads billing.
1 of 20
Promoted’s measurement Is unique because of how it joins data in real-time.
1 of 20
First promoted joins client and server events.
1 of 20
This join allows Promoted to log terabytes of user data for immediate use
1 of 20
without slowing your app or compromising privacy.
1 of 20
Promoted’s Open Source Client Libraries
1 of 20
log IAB standardized user events like impressions, clicks, and purchases.
1 of 20
Logging is battery and bandwidth efficient, and it connects through your servers for your complete control.
1 of 20
Then, Promoted’s Open Source server libraries
1 of 20
log corresponding requests and insertions to Promoted’s servers.
1 of 20
Promoted enriches these server events in real-time with your user and item data, machine learning features, and for ads, ad auction pricing.
1 of 20
Second, Promoted joins clicks and impressions with purchases in the future.
1 of 20
This join allows Promoted to attribute credit for conversions and ongoing purchases to specific insertions of search and feed listings, promotions, and ads.
1 of 20
Knowing what insertion caused a sale helps Promoted optimize better
1 of 20
and, for ads, compute fair prices
1 of 20
Promoted’s data infrastructure can join conversions days into the future while still using unsettled insertions now for real-time conversion optimization.
