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Leverage AIKE spending insights to identify trends and patterns within your CRM base that are otherwise invisible to humans.
Predict near future purchase
Real time performance monitoring and optimization
Keep customers engaged.
Increase conversions & ROI.
Convert more visitors into customers.
AI performance is only as strong as the data that fuels it, and data has been hard to come by. Advanced AI/ML teams are investing heavily in AI efforts, but data scarcity is a problem that Gartner estimates will amplify 6,000% next year. Third-party data has become incredibly expensive and can’t be used for AI/ML efforts in raw format.
The three main reasons it’s so difficult to use consumer data to build AI models are; Accessing Data is Harder than Ever, Managing Data Remains Challenging, and Regulatory Uncertainty Creates Risk
AIKE uses machine learning to create powerful representations of consumer behavior known as embeddings, extracting the signal from our rich behavioral dataset in order to make high-quality predictions about future actions.”
AIKE is now available in the Azure and Databricks marketplaces and empowers customers to improve customer targeting and segmentation without creating additional data pipelines.
AIKE licenses the Largest US-based Consented Behavioral Dataset (85% exclusive), combining 300M consumers with petabytes of signals across trillions of dollars in spend.
The three main reasons it’s so difficult to use consumer data to build AI models are; Accessing Data is Harder than Ever, Managing Data Remains Challenging, and Regulatory Uncertainty Creates Risk
Embeddings (vectorized data) are the cornerstone of modern AI, allowing AI to process vast amounts of data quickly and efficiently, capturing non-linear relationships in data, and drawing correlations that might not be apparent to humans.
AIKE customers can enrich their customer base with AIKE’s 200+ most predictive behavioral signals, from petabytes of consumer signals combined with trillions of dollars of spend, to identify new attributes to model against. This new enriched customer dataset can be foundational for use cases like improving the overall customer experience, increasing marketing conversions, and better understanding customer behavior.