23Bn IoT Devices
80Tn Messages Per Day
$310M AI Startup Funds
$2TnIndustry by 2020
Powerful creative can succeed in changing behaviors of individuals, groups or society without real time measurement. Quantifiable predictive and descriptive data begets prescriptive data, which introduces the dynamism relevant engagement we deserve. The most effective programmatic marketers have embraced this to deliver the right message, to the right person, in the right place because optimization goals can have greater confidence in addressing causality rather than correlation alone. Axieve has integrated the capability to target both inferred and deduced state of mind signals in real time available for bidding in compliant exchanges and platforms. Find out which activities pay off by quantifying engagement instead of by proxy of a view.
Curated partnerships with Instant Messaging platforms, app developers, hardware and sensor manufacturers fuels by Cognitive and Affective computing algorithms to detect and estimate our state of mind. Whether the objective is to generate intent or identify behavior, new methodologies are deployed via integrations to scale winning activities by targeting near real time, impression level categories from a taxonomy that used to be only available to neuroscientists in controlled, ‘wet lab’ environments and controlled conditions. 1st and 3rd party data: audience measurement, behavioral targeting, cloud computing, campaign management, content management, sCRM, eCommerce, tag management, email marketing, search marketing, conversion analytics, a-b testing, lead generation, user experience can be seen through the lens of quantified human emotion.
Axieve collaborated with Affectio Inc. to incubate a Most Lovable Project that demonstrates value by combining the three disciplines of Messaging platforms, Artificial Intelligence and IoT. A Minimal Viable Product as a Facebook Messenger app was showcased at CES 2016, only a week after launching on Apple App store and Google Play store with native Apple Watch and Android Wear extensions.
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