Snowplow, the leader in customer data infrastructure, announced the launch of Snowplow Signals, a real-time customer intelligence system that enables companies to build and deploy AI-powered customer experiences much faster. Signals provides applications with access to deep, real-time, trustworthy customer context – making it easier to hyper-personalize user journeys and equip AI agents to overcome the “cold start problem” and drive more relevant interactions.
Long trusted by data teams at leading digital-first companies, Snowplow is now expanding its platform to support product, engineering, and data science teams building customer-facing AI-powered applications – such as personalization engines, adaptive UIs, and agentic applications like AI copilots and chatbots.
“By infusing real-time behavioral context into an application’s memory, Signals transforms one-off customer interactions into deeply personalized, proactive experiences that drive measurable lift in customer engagement, conversion, and lifetime value,” said Todd Boes, Chief Product Officer at Snowplow. “We’re proud to partner with leading brands as they harness Signals to deliver the next generation of customer-intelligent applications.”
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The Missing Link Between AI and Real-Time Customer Context
As organizations race to embed AI into their products, many hit a common set of roadblocks: they struggle to reliably identify who each user is in real-time, understand their current behavior, anticipate their needs, and serve deeply personalized experiences accordingly.
Existing data infrastructure often forces a trade-off – real-time speed without deep, trustworthy data, or deep, trustworthy data that is too slow to act on. Signals eliminates this compromise by providing extensible infrastructure for computing, retrieving, and acting on rich, well-governed customer data — both in-session and across historical context.
SOURCE: Businesswire