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Autonomous Media Buying

Albert is redefining digital media buying with artificial intelligence

What is Autonomous media buying?

Autonomous media buying is when an artificial intelligence marketing platform performs digital media buying for you. As opposed to the classic media buying system which is completely human dependent, autonomous media buying requires little to no human interaction or supervision. It also differs from programmatic systems in that those systems still require frequent, manual human intervention. These systems are also susceptible to widespread ecosystem inconsistencies such as ad fraud and viewability issues.

Autonomous media buying excels past current programmatic capabilities as a result of its “AI from the ground-up” structure. Using a combination of predictive analytics and deep learning (which combined make up machine learning), expert systems, natural language processing and proprietary algorithms, the system detect patterns, draw conclusions, and adjusts performance as it goes.

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Get Started Today!

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No Bullshit Approach – Full Transparency

Classic media buying is on its way out. Gone are the days of the middleman who is out for a profit while you are in the dark about the media you purchased. Albert knows nothing of personal gain, he is an artificial intelligence marketing system that has only one goal and one goal alone when it comes to media buying – to meet, if not exceed your KPI. He finds the media where your customers engage; bids most efficiently, and uses all possible media outlets in order to deliver the ROI you have defined. He works around the clock adjusting according to performance, ensuring that all sources of information are available to you.

Ad Fraud be gone, Albert has no use for you

Albert negates the impact that fraudulent traffic has introduced to the marketing ecosystem. With fraud on the rise, often times the damage is done before a source can be identified as bot-traffic, wasting precious ad dollars on sources useless for engagement while muddying performance and measurement accuracy.

Albert, on the other hand, is able to calculate thousands of variables in real-time in order to swiftly identify and weed out fraudulent traffic sources as they appear along the campaign journey, without the need of regular human supervision. He quickly processes and stores any and all information regarding the sources to apply to all future purchasing decisions ensuring current and future campaign safety and focusing budget and learnings on bot-free traffic sources.

Get Started Today!

Request a Demo