About
HockeyStack builds an AI-powered B2B revenue intelligence platform that unifies marketing, sales, product, and go-to-market data into buyer journeys, attribution, dashboards, and revenue agents. It sells primarily to enterprise revenue, marketing, sales, and operations teams, differentiating through event-based data architecture, no-code workflows, explainable attribution, and AI-powered recommendations.
Market
HockeyStack competes in B2B revenue intelligence, marketing attribution, and go-to-market analytics. It positions itself as an AI-powered, enterprise-ready source of truth that unifies marketing, product, sales, and other GTM data, connects touchpoints to pipeline and ARR, and provides explainable no-code attribution, recommendations, and account scoring; this differentiates it from specialized single-channel tools and basic reporting platforms.
HockeyStack targets B2B companies, particularly mid-market and enterprise organizations with complex, multi-channel go-to-market motions. Its primary users and buyers are marketing, sales, revenue operations, and broader GTM leaders who need to connect customer touchpoints to pipeline and revenue.
At a Glance
Problem
B2B go-to-market teams struggle to connect the full buyer journey—from anonymous web activity and advertising through marketing, sales, customer success, product usage, and closed-won revenue—across siloed systems. That makes attribution difficult to audit, hides which channels and campaigns actually create pipeline, and encourages teams to spend on leads or activity rather than revenue. The economic pain is wasted marketing budget, slower deal cycles, weaker forecasting, and hours spent manually reconciling spreadsheets and CRM data. The killer use case is identifying the touchpoints and programs that accelerate deals, then reallocating spend toward the accounts and campaigns most likely to produce pipeline and ARR.
Product / Service
HockeyStack is a B2B revenue acceleration and GTM intelligence platform. It combines a proprietary tracking script with integrations across CRM, marketing automation, advertising, product, and data-warehouse systems; its Atlas data foundation ingests and unifies that information into a common source of truth. The platform then turns the data into visual buyer journeys, dashboards, multi-touch attribution, account and lead scoring, and AI-powered recommendations that help marketing, sales, and revenue leaders decide what to do next.
The delivery model is enterprise-oriented but designed for rapid, no-code adoption: implementation is self-serve, most customers reportedly receive initial attribution insights within 24 hours, and customer-success and technical teams help reconcile results against source systems. Users can build reports, change attribution models, and drill from a metric to the underlying accounts and touchpoints, making the analysis explainable rather than a black box. The intended benefit is more revenue per dollar invested, more predictable GTM performance, and faster payback.
Market
HockeyStack competes in the overlapping markets for B2B marketing attribution, revenue intelligence, account intelligence, and broader GTM or revenue data platforms. Its competitive set includes CRM-centric attribution tools, but HockeyStack positions itself around a more complete view of anonymous and pre-conversion behavior, asset-level performance, product telemetry, cross-system identity, and enterprise-scale data governance. This makes it particularly relevant to mid-market and enterprise B2B companies with complex, multi-channel GTM motions.
The company is operating commercially rather than being pre-revenue. HockeyStack’s company materials claim more than 200 B2B customers, revenue doubling every six months, 60 TB of tracked data, and 212 requests processed per second. LinkedIn lists the company as founded in 2021 with 76 employees, while HockeyStack has announced a $20 million Series A led by Bessemer Venture Partners. These figures indicate meaningful early traction, although the revenue and operating metrics are company-reported rather than audited financial disclosures.
Founders & Leadership
Funding History
Y Combinator
General Catalyst
Bessemer Venture Partners
Bessemer Venture Partners, Y Combinator, Uncorrelated Ventures
Recent News
HockeyStack joined LinkedIn’s Marketing Partner Program for Reporting and ROI, expanding its marketing measurement and revenue analytics capabilities for LinkedIn users.
HockeyStack launched Blueprints, a new approach intended to identify the engagement patterns associated with closed-won business and help teams build more predictable pipeline.
VentureBurn reported that HockeyStack raised $50 million to enhance its Revenue Agents platform and accelerate enterprise growth across product, sales, and customer functions.
HockeyStack announced more than $50 million in total funding from Bessemer Venture Partners, Y Combinator, and Uncorrelated Ventures, alongside the launch of Revenue Agents for enterprise revenue teams. The capital is intended to support expansion into prospecting, new business, and account expansion.
HockeyStack highlighted enterprise adoption of its AI analysts Odin and Nova, reporting that 98% of customers use them and more than 60% engage with them monthly.
GTMnow featured HockeyStack co-founder and CRO Emir Atli discussing the shift from fragmented go-to-market tools toward a unified platform in the AI era.
HockeyStack announced a $20 million Series A led by Bessemer Venture Partners. The company said the funding would support expanded product offerings, including the Odin and Nova AI agents for marketing and revenue teams.
In this company blog post, HockeyStack discussed a recently released feature that adds podcast mentions to the customer journey, extending its media and attribution analysis.
G2 documentation describes an integration that sends G2 Buyer Intent signals into HockeyStack, allowing teams to evaluate their contribution to conversion rates, pipeline growth, closed deals, and revenue.
Active Roles
2Business Model
HockeyStack sells access to its B2B revenue intelligence and attribution software through custom-priced plans, with startup pricing available and an enterprise demo-led sales process. Plans include integrations, customer-success support, custom data-environment setup, and ROI reporting, indicating a recurring enterprise SaaS model.