HockeyStack is an AI-powered revenue analytics and attribution platform that unifies marketing, sales, and product data to show what truly drives pipeline and revenue. It helps B2B teams visualize buyer journeys, run multi-touch attribution, and power account intelligence in one place.
Independently researched by the SalesHive team. Ratings are from public review platforms; this page is not sponsored by or affiliated with HockeyStack. Research last updated December 2025.
What is HockeyStack?
HockeyStack is a B2B revenue analytics, attribution, and account intelligence platform built for modern go-to-market teams. Founded in 2021, the company connects data from CRMs, marketing automation tools, ad platforms, product analytics, and customer success systems into a single GTM data foundation. On top of this unified data layer, HockeyStack delivers AI-powered insights and workflows via its two core agents: Odin (an AI analyst) and Nova (an AI sales assistant).
The platform was originally created to solve the common challenge where B2B companies have fragmented data spread across Salesforce, HubSpot, ad platforms, and spreadsheets, making it nearly impossible to understand which activities actually drive revenue. HockeyStack ingests and cleans this data, stitches together user and account identities, and builds complete buyer journeys from first touch through closed-won and expansion. Marketers and RevOps teams then use multi-touch attribution, lift modeling, funnel reports, and custom dashboards to allocate budget, measure ROI, and communicate marketing’s impact in terms of pipeline and revenue rather than just leads.
HockeyStack’s recent evolution focuses heavily on AI. Odin, the AI analyst, allows leaders to ask complex questions in plain English, such as which campaigns drive qualified pipeline by segment or how to re-allocate spend to hit a revenue goal, and returns visual analyses, explanations, and actionable recommendations. Nova, the AI sales rep assistant, lives primarily in Salesforce and other GTM tools to surface in-market accounts, generate stakeholder maps and account plans, and suggest next-best actions and outreach tailored to each opportunity. Together, these agents turn the platform from a passive reporting layer into an active GTM co-pilot.
Backed by investors including Bessemer Venture Partners and Y Combinator, HockeyStack has raised roughly $22.7M across a seed round and a $20M Series A. The company is used by hundreds of B2B organizations ranging from high-growth SaaS startups to large enterprises such as 8x8, DataRobot, AppsFlyer, Rakuten, RingCentral, LaunchDarkly, and MasterCard. It competes in the marketing attribution, revenue analytics, and GTM intelligence space, differentiating itself through its AI-first workflow automation, privacy-friendly cookieless tracking, and deep focus on end-to-end GTM analytics rather than just last-click or channel reporting.
HockeyStack key features
Teams typically use it for B2B marketing attribution and ROI measurement, full-funnel revenue and pipeline analytics, account-based marketing and intent-driven targeting, and more.
- Unified GTM data platform. Ingests and normalizes data from CRM, marketing automation, ad platforms, product analytics, and CS tools into a single revenue data foundation.
- Multi-touch attribution. Supports multiple attribution models (including first-touch, last-touch, and multi-touch) across all channels to quantify impact on pipeline and revenue.
- Combined quantitative and qualitative attribution. Ties self-reported attribution survey responses to tracked touchpoints so teams see the full story behind each opportunity.
- Buyer journey analytics. Visualizes complete buyer and account journeys from first touch to closed-won, including offline events and multi-stakeholder deals.
- Odin AI analyst. An AI co-pilot that answers complex GTM questions in natural language, generates visual reports, and recommends next best actions based on live data.
- Nova AI sales assistant. In-Salesforce AI that researches accounts, builds stakeholder maps, drafts personalized outreach, and surfaces prioritized next steps for reps.
- Account intelligence and scoring. Combines first- and third-party intent data into explainable account scores, account plans, and dynamic stakeholder maps.
- Out-of-the-box dashboards. Pre-built CMO, pipeline, paid acquisition, ABM, and funnel dashboards that can be customized without code.
- Funnel and conversion analysis. Flexible funnel reporting to identify drop-offs across stages, channels, campaigns, and segments.
- Lift modeling and incrementality. Measures incremental impact of campaigns and channels via lift reports, helping teams understand what truly moves the needle.
- GTM workflow automation. Builds end-to-end workflows that sync audiences, enrich accounts, trigger campaigns, and push actions into tools like Salesforce, Outreach, and ad platforms.
- No-code report builder. Enables marketers and RevOps to build custom reports and segments without SQL or BI teams.
- Slack integration. Lets users query Odin directly in Slack and share AI-generated analyses and reports with stakeholders in real time.
- Cookieless tracking. Tracks web behavior without cookies by default and stores data in EU-based infrastructure to support privacy and compliance needs.
- Governance and data quality. Provides identity resolution, deduplication, and data governance features to maintain a consistent GTM data model across tools.
What reviewers love, and what to watch
A balanced view of HockeyStack, drawn from public reviews and product research.
Pros
- Powerful multi-touch attribution that clearly shows which channels and campaigns drive qualified pipeline and revenue.
- Unified buyer and account journeys that connect web, ad, CRM, and product data into a single, easy-to-explore view.
- Strong, responsive customer success and onboarding support, with many customers live and seeing value within weeks.
- No-code, flexible reporting and dashboards that let marketers build and iterate on their own analyses without data teams.
- Odin AI analyst provides fast, reliable answers to complex GTM questions, saving hours of manual report building.
- Cookieless tracking and privacy-friendly data storage that help teams address GDPR and other data privacy concerns.
Cons
- Steep learning curve at first, especially when designing more advanced reports or data models.
- Platform depth and flexibility can feel complex or overwhelming for smaller teams without dedicated RevOps resources.
- Mobile experience and mobile responsiveness are limited compared to desktop, and there is no native mobile app.
- Some users would like even broader out-of-the-box integrations and features that match legacy web analytics tools like heatmaps or session replay.
HockeyStack pricing
Published pricing at the time of research. Always confirm current rates with the vendor.
- Core GTM data platform and analytics
- Multi-touch attribution and lift modeling
- Buyer journey and funnel analytics
- Odin AI analyst
- Standard integrations with CRM, MAP, and ad platforms
- Advanced ABM reporting and intent-based workflows
- Nova AI account intelligence and sales assistant capabilities
- Data warehouse synchronization and advanced data connectivity
Who HockeyStack is for
A strong fit for
HockeyStack is ideal for B2B companies with multi-touch, considered purchase cycles, existing tools like Salesforce and HubSpot, and marketing programs spanning paid media, content, events, and partnerships. Organizations that have outgrown basic web analytics and spreadsheet-based reporting, and that want AI-powered insights and workflows to optimize pipeline and revenue, get the most value.
Probably not for
HockeyStack is less suitable for very small businesses or early-stage startups with low traffic and simple lead flows, companies focused primarily on B2C or transactional e-commerce, teams that only need basic pageview analytics, or organizations that require on-premise deployment instead of a cloud-based solution.
How HockeyStack compares
Within the B2B marketing analytics and attribution category, HockeyStack competes most directly with tools like Dreamdata, CaliberMind, Adobe Marketo Measure (Bizible), and Windsor.ai. Compared with these platforms, HockeyStack’s core differentiator is its AI-first architecture, its Odin and Nova agents sit on top of a unified GTM data layer and are designed to answer questions, generate plans, and automate workflows, not just provide static dashboards. This makes it especially attractive to teams that are resource-constrained on analytics and RevOps but still need sophisticated attribution and account intelligence.
Relative to more mature incumbents such as Adobe Marketo Measure or Google Analytics 360, HockeyStack typically offers a faster, more marketer-friendly implementation, less reliance on data engineers, and stronger visibility into B2B account journeys rather than raw web traffic. However, those incumbents may have broader ecosystems, deeper feature sets in adjacent areas, or longer track records with large enterprises. Compared with other newer entrants like Dreamdata and CaliberMind, HockeyStack tends to lean more heavily into AI agents and workflow automation, positioning itself not just as an analytics platform but as a GTM operating system that closes the loop between insights and action.
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Frequently asked about HockeyStack
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