Compresses the Bidstream 80%+ 
Keeps Bids and Wins at Full Strength

AutoToggle's breakthrough machine learning algorithms adapt to each buyer's decisioning to optimize traffic.  It’s like continuously asking the exchanges directly for the supply you need.

Employing stochastic constraint optimization techniques to deliver highly concentrated inventory, AutoToggle™ pinpoints ad requests that best match specific advertiser demand and filters out the rest.  

AutoToggle is designed for buyers and sellers to accelerate revenue growth, lift bid and win rates and achieve dramatically lower traffic levels, bandwidth and infrastructure costs.

 
 

 
 

Unparalleled Buyer and Seller Efficiency

Advanced machine learning algorithms power AutoToggle’s traffic optimization

 
Sophisticated in analyzing buyer and seller optimization decisioning, detecting signal strength, pattern interactions and KPI performance correlations

Sophisticated
in analyzing buyer and seller optimization decisioning, detecting signal strength, pattern interactions and KPI performance correlations

Smart in shaping traffic based on each buyer’s unique targeting and bidding techniques

Smart
in shaping traffic based on each buyer’s unique targeting and bidding techniques

Continuous in publishing on-going QPS allocation settings (every few minutes)

Continuous
in publishing on-going QPS allocation settings (every few minutes)

Nimble in perpetually exploring all traffic combinations to rapidly detect changing supply and demand dynamics

Nimble
in perpetually exploring all traffic combinations to rapidly detect changing supply and demand dynamics

 

 
 

Machine Learning

AutoToggle analyzes these signals to determine the precise combinations of inventory needed to significantly compress the QPS advertisers don’t want and maximize bids, wins, and spend.