Snowplow Unveils Signals: Real-Time Customer Intelligence Infrastructure for AI-Powered Products

BOSTON--(BUSINESS WIRE)--May 28, 2025--

Snowplow, the leader in customer data infrastructure, today 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.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20250528190036/en/

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.”

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.

Snowplow Signals includes three core capabilities:

Built for Digital Product and Engineering Teams

Snowplow Signals is designed for teams building AI-powered products that want to deliver different experiences to different customers through the use of personalization and recommendation models and AI agents to drive revenue growth.

What sets Snowplow Signals apart:

“Snowplow Signals provides our product and engineering teams with the real-time customer intelligence infrastructure they need to build adaptive, AI-powered experiences into our FindMyPast product,” said Anup Purewal, Chief Data Officer at DC Thomson, a design partner for the release. “With Signals, we can advance beyond static searches and singular actions to offer a genealogy experience that truly reflects the hobby — guiding each user’s unique journey through our vast archives by proactively surfacing relevant content and suggesting next steps in real time. It’s a game-changer for hyper-personalizing each user’s deeply unique and personal experience.”

Deliver AI-Powered Experiences with Trusted Customer Data Infrastructure

Built on Snowplow’s industry-leading real-time data pipeline and streaming engine, Signals ensures high-quality, consistent data across stream and warehouse — and delivers millisecond lookups with governance built in.

The new product offering runs natively in Snowplow customers’ clouds and will support deployments on AWS, Azure, and GCP, with compatibility for Snowflake, Databricks, and BigQuery. Customers benefit from robust governance, built-in security, and full transparency across their end-to-end customer data operations.

Snowplow Signals marks a strategic expansion beyond data engineering to become foundational infrastructure for real-time, AI-driven digital experiences. As more companies move to productize AI, Signals positions Snowplow at the core of this transformation, unlocking new growth across product, engineering, and data science teams.

Availability

Snowplow Signals is currently available to select design partners, with general availability in Q3 2025. To learn more or request a custom demo, visit snowplow.io/signals.

Snowplow is the global leader in customer data infrastructure for AI, enabling every organization to transform raw behavioral data into governed, high-fidelity fuel for AI-powered applications — including advanced analytics, real-time personalization engines, and AI agents. Digital-first companies like Strava, HelloFresh, Auto Trader, Burberry, and DPG Media use Snowplow to collect and process event-level data in real time, delivering it securely to their warehouse, lake, or stream, and integrate deep customer context into their applications. Thousands of companies rely on Snowplow to uncover customer insights, predict customer behaviors, hyper-personalize customer experiences, and detect fraud in real time. Learn more: www.snowplow.io.

Todd Boes, Chief Product Officer at Snowplow, announces the launch of Snowplow Signals — a new real-time customer intelligence infrastructure for AI-powered applications.

ANN ARBOR, Mich. (AP) — The law firm hired by the University of Michigan to investigate former football coach Sherrone Moore's relationship with a staffer will continue its probe of the program and is prepared to expand its inquiry throughout the athletic department, according to two people familiar with the situation.

The people spoke to The Associated Press on condition of anonymity because they were not authorized to discuss the details.

Michigan fired Moore on Wednesday, when the school said an investigation uncovered his inappropriate relationship with a staffer. He is married with three daughters.

The 39-year-old Moore was charged with three crimes after prosecutors said on Friday he “barged his way” into the apartment of a woman he’d been having an affair with and threatened to kill himself.

Athletic director Warde Manuel told the school's board during the season that he asked Moore and the woman if they were in a relationship and both denied it, according to the people familiar with the situation. They said Manuel told the board that he reviewed hundreds of text messages and emails between Moore and the woman on their school-issued cellphones and computers and did not discover anything inappropriate.

The school later hired a law firm to investigate the matter further and it began working on campus on Monday, when the woman did not show up to work, according to the two people. They said her attorney met with the firm on Tuesday and she provided evidence of her relationship with Moore on Wednesday, when Manuel fired Moore without human resources or campus police present.

Well before Manuel's inquiry and the law firm's investigation, a social media influencer outside the state contacted the school to express concerns about Moore's behavior, two people familiar with the situation said.

Moore faces charges including felony home invasion and stalking.

He and the woman had been having an affair “for a number of years” before she ended the relationship Monday, said Kati Rezmierski, a Washtenaw County prosecutor. Moore repeatedly called the woman and texted her, but she refused to respond, Rezmierski said.

Shortly after losing his job, Moore stormed into the woman’s apartment, “then proceeded to a kitchen drawer, grabbed several butter knives and a pair of kitchen scissors. And began to threaten his own life,” Rezmierski said.

The prosecutor quoted Moore as telling the woman: “I’m going to kill myself. I’m going to make you watch. My blood is on your hands. You’ve ruined my life.”

A plea of not guilty was entered on Moore’s behalf and he was released from jail after meeting the $25,000 bond. Moore said very little in court besides acknowledging that he must have no contact with the woman, among other conditions.

Defense attorney Joe Simon said Moore would “absolutely comply” with the judge’s order for an additional evaluation. Moore must wear a GPS tracking device, stay in Michigan and abstain from alcohol. The next court hearing was set for Jan. 22.

Moore signed a five-year contract with a base annual salary of $5.5 million last year. According to the terms of his deal, the university will not have to buy out the remaining years of his contract because he was fired for cause.

No. 18 Michigan is set to play No. 14 Texas on Dec. 31 in the Citrus Bowl. Biff Poggi, who filled in for Moore when he was suspended earlier this season in relation to a Jim Harbaugh-era sign-stealing scandal, will serve as interim coach.

The school is searching for a coach and hopes to make a hire this month to help it retain recruits and give players enough confidence in the program to stay out of the transfer portal next month.

EDITOR’S NOTE — This story includes discussion of suicide. If you or someone you know needs help, the national suicide and crisis lifeline in the U.S. is available by calling or texting 988. There is also an online chat at 988lifeline.org

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FILE - Michigan athletic director Warde Manuel, left, talks with head coach Sherrone Moore, right, before an NCAA college football spring game in Ann Arbor, Mich., April 19, 2025. (AP Photo/Paul Sancya, file)

Magistrate Odetalla listens to Michigan football coach Sherrone Moore's attorney Joseph A. Simon and Assistant prosecutor Kati Rezmierski in court on Friday, Dec. 12, 2025 in Ann Arbor, Mich. (AP Photo/Ryan Sun, Pool)

Fired Michigan football coach Sherrone Moore appears via video in court on Friday, Dec. 12, 2025 in Ann Arbor, Mich. (AP Photo/ Ryan Sun, Pool)