HockeyStack — B2B Revenue Data Intelligence Platform with AI Agents for GTM. Best for Enterprise B2B revenue teams needing unified GTM intelligence, Marketing operations leaders seeking AI-powered attribution and pipeline analytics, Sales leaders wanting to reduce rep variability and accelerate ramp time. Contact Sales pricing.
Enterprise B2B revenue teams needing unified GTM intelligenceMarketing operations leaders seeking AI-powered attribution and pipeline analyticsSales leaders wanting to reduce rep variability and accelerate ramp timeRevenue operations teams aligning sales and marketing with shared metricsGrowth teams identifying high-intent accounts and expansion opportunities
Not ideal for
Small startups with simple sales cycles and low data volumeTeams already satisfied with basic BI tools and manual attributionOrganizations without dedicated revenue operations or data engineering supportCompanies requiring a low-cost, self-service analytics tool with transparent pricingBusinesses that prefer not to invest in AI agents or predictive modeling
A powerful choice for enterprise B2B teams needing unified GTM intelligence with AI-driven insights. Especially strong if you value predictive scoring and autonomous agents, but may be overkill for smaller teams or those with simple attribution needs.
HockeyStack differentiates with its AI agents (like 'Odin') that act as an analyst on demand, plus a proprietary ML model that learns your winning deal patterns. This makes it stand out from traditional attribution tools like Bizible or Full Circle Insights. When to pick this: you're an enterprise B2B with complex sales cycles, multiple attribution models needed, and you want to automate prospecting and expansion. When to pass: you're a small startup needing basic analytics, or your data stack is simple. Real-world caveats: heavy integration lift, cost likely high (contact for pricing), and the AI agents may require training data. Best for revenue operations, marketing analytics, and sales enablement leaders at mid-market to enterprise.
Skip HockeyStack if Skip HockeyStack if you’re an SMB or early-stage startup without years of historical deal data to train the Blueprint ML model.
Latest from HockeyStack
Updated 4 days ago
Across the latest 7 updates: 5 feature updates, 1 launch and 1 news mention.
How likely is HockeyStack to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
funding runway
60
website health
90
github activity
50
category mortality
70
wrapper dependency
100
hyperscaler overlap
80
About HockeyStack
HockeyStack is an AI-powered B2B Revenue Data Intelligence Platform that helps go-to-market teams turn sales and marketing data into actionable insights, plans, and autonomous actions. Built for enterprise revenue teams, it combines first-party account intelligence, multi-touch attribution, and predictive AI agents to shorten ramp time, reduce rep variability, generate pipeline, and drive expansion. Key features include AI agents for prospecting and new business, a Machine Learning Model of how your company wins deals, full-funnel visibility with scoring you trust, and unified reporting across multiple attribution models. Trusted by leading B2B teams at Rakuten, Justworks, Firstup, GitHub, Airbyte, and others, HockeyStack positions itself as a comprehensive alternative to fragmented analytics stacks like BI tools plus manual attribution, offering an all-in-one GTM intelligence layer.
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Key Features
AI Revenue Agents for prospecting, new business, and expansion
ML Model that learns how your company wins deals
Full-funnel visibility with trusted scoring
Multi-touch attribution on multiple models
Unified reporting across sales and marketing data
Real-time insights and guided actions for reps
Account intelligence for ABM and personalization
Pipeline generation from high-intent accounts
Product usage tracking for expansion opportunities
Shorten ramp time with actionable insights
Reduce rep variability by standardizing execution
Real-world workflow fit
Concrete scenarios for the personas HockeyStack actually fits — and what changes day-one when you adopt it.
Revenue Marketing Director
You need to prove campaign ROI and align sales on pipeline source.
Outcome: Set up integrations with Salesforce and HubSpot; HockeyStack ingests touchpoints and builds a Blueprint from closed deals. Within 2 weeks, you get cookieless attribution reports and a unified dashboard that your VP of Sales trusts.
Sales Enablement Manager
Your new reps take 3+ months to ramp and your top reps carry the quota.
Outcome: Deploy Revenue Agents that push daily prioritized actions to each rep based on historical win patterns. Acceptance rate hits 90%; ramp time reduces from 12 weeks to 4 weeks.
GTM Strategy Lead
You want to predict which deals will close and which accounts need attention.
Outcome: Use the predictive GTM forecasting (May 2026) to see behavioral insights and forecasted pipeline. Odin AI generates recommendations to re-engage stalled accounts, increasing pipeline by 20%.
Use Cases
Shorten ramp time for new reps by providing real-time insights and guided actions from your best deal patterns.
Reduce rep variability by standardizing execution across your team using AI-driven revenue agents.
Generate pipeline by identifying high-intent accounts and converting signals into qualified pipeline.
Drive expansion by tracking product usage to uncover upsell and cross-sell opportunities.
Replace manual attribution with cookieless, data-driven attribution that shows what’s actually working.
HockeyStack is enterprise-only with no self-serve or public pricing. Deployment requires significant integration and a dedicated success team. The platform is designed for companies with ample historical deal data to build a Blueprint; without that, the Revenue Agents may be less effective. There may be rate limits on API calls and data processing, but specifics are not publicly documented.
What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.
•No public pricing; requires booking a demo to get a quote
•Dedicated implementation and success team likely increases total cost
•Potential API rate limits not publicly documented
•May require additional data warehouse integration costs
Where the pricing makes sense
The company stage and team size where HockeyStack's pricing actually pencils out — and where peers do it cheaper.
HockeyStack is built for enterprises with complex GTM stacks and dedicated ops teams. It likely costs tens of thousands per year, similar to other enterprise attribution platforms like Bizible or Full Circle. For smaller teams, cheaper alternatives like WhatConverts or Ruler Analytics offer simpler attribution without the agent layer.
Setup time & first value
How long it actually takes to get something useful out of HockeyStack — broken out by persona, not the marketing-page minute.
For revenue marketing directors: initial integration with CRM, ads, and marketing automation takes about 2-4 weeks with the dedicated success team. Sales reps can start seeing Revenue Agent tasks within the first month. Full Blueprint creation requires at least 6 months of historical deal data.
Switching to or from HockeyStack
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Migrating in
→From Bizible/Marketo Measure: HockeyStack offers full-funnel attribution and account intelligence with a unified data model.
→From Google Analytics: HockeyStack replaces GA with cookieless, revenue-focused analytics and integrates with your CRM.
→From custom spreadsheets/BI tools: HockeyStack centralizes data from multiple sources into one GTM intelligence platform.
Migrating out
↗To Gong: If you need conversation intelligence rather than agent execution, Gong offers deeper call analysis.
↗To Clari: If you prefer a revenue intelligence platform with forecasting but less autonomous execution.
↗To a CDP like Segment: If you want raw customer data unification without the AI agent layer.
Recent material changes
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
•May 2026: Launched Blueprints—ML model that reverse-engineers how your company wins deals and powers Revenue Agents.
•May 2026: Raised $50M in funding to accelerate development of Revenue Agents.
•May 2026: Introduced Deal Agent for closing, integrated with Blueprint and other agents.
•May 2026: Released predictive GTM forecasting using behavioral insights.
