How long does HockeyStack take to deliver insights?

Within 24 hours of connecting your website and data sources, you can analyze data with AI analyst Odin and access prebuilt dashboards for funnel performance.

Does HockeyStack require technical knowledge to implement?

The platform is self-serve and requires no coding. While a GTM or revenue operations resource can help, it's not required.

How does HockeyStack ensure AI agent trustworthiness?

The platform connects directly to your GTM tech stack, cleans and organizes data, and allows you to customize context. AI agents continuously learn from real activities, ensuring accurate, business-aware recommendations.

What integrations does HockeyStack support?

HockeyStack integrates with leading CRM, ABM, marketing automation, sales outreach, ad platforms, and data warehouses.

Is HockeyStack data storage privacy-compliant?

Data is stored on AWS servers in Frankfurt, Germany. The platform doesn't collect personal information (including IP addresses) by default and follows GDPR and CCPA regulations.

HockeyStack

AI-powered B2B revenue data platform unifying marketing, sales, and product data with multi-touch attribution, AI analyst Odin, account scoring, and automated Revenue Agents to optimize GTM strategy.

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Summary

HockeyStack is an AI-powered B2B revenue data platform that unifies marketing, product, and sales data, using attribution models and AI predictive insights to help teams optimize GTM strategy. Built for enterprises needing a unified data view and automated decision recommendations.

What is HockeyStack?

HockeyStack integrates CRM, ad platforms, marketing automation, sales tools, and third-party data into a single source of truth, delivering complete buyer journey views, multi-touch attribution reporting, and AI analyst Odin. The platform supports Revenue Agents that autonomously execute tasks like identifying high-potential closed-lost deals, optimizing ad budgets, and prescribing next steps for sales reps. Ideal for B2B teams bridging PLG and sales-led motions.

Core Capabilities

AI Revenue Agents: Prebuilt and custom agents automate GTM tasks (e.g., deal resurrection, budget optimization, expansion opportunity identification)
Odin AI Analyst: Query marketing performance in natural language, get instant visual analysis and recommendations
Multi-Touch Attribution: Out-of-the-box dashboard templates, custom reporting, and multiple attribution models
Buyer Journey Views: Complete interaction timeline from first touch to close
Account Scoring: Explainable scoring models combining first- and third-party data
Blueprints: Reveal ideal touchpoint mix and actions based on actual conversion data
Integrations: Connect CRM, ABM, marketing automation, sales outreach, ad platforms, and data warehouses
Cookieless Tracking: Privacy-friendly tracking compliant with GDPR and CCPA

Pros

Initial GTM insights within 24 hours, self-serve implementation with no coding required
AI agents deliver actionable recommendations, reducing manual analysis time (e.g., hours in Excel to 5 minutes)
Unified reporting reduces internal meetings, improves sales and marketing alignment
Explainable account scoring models build trust, support custom context
Integrates with leading GTM tools, data stored on GDPR-compliant AWS servers (Frankfurt, Germany)

Cons

Primarily for B2B enterprises, not suited for B2C or small teams
Requires GTM or revenue operations resource to accelerate implementation (though platform is self-serve)
Pricing not publicly disclosed, requires sales contact
AI agent effectiveness depends on data quality and integration completeness
Learning curve may increase with custom agents and advanced reporting

Decision Guidance

Use HockeyStack if: You're a B2B enterprise needing to unify marketing, sales, and product data, seeking AI-driven attribution, account scoring, and automated GTM task execution. Especially suited for teams running both PLG and sales-led motions.

Consider alternatives if: You're a small team, B2C business, or need only basic analytics without enterprise-grade AI agents and integrations. If pricing transparency is a priority, confirm costs upfront.