HockeyStack Review: Full Platform Breakdown [2026]

HockeyStack has moved fast since emerging from Y Combinator in 2023. In under three years, it grew from a no-code attribution tool to a B2B revenue data intelligence platform, now serving 200+ GTM teams that collectively manage more than $20 billion in campaign spend. The pitch: unify your sales and marketing data, surface what works through AI, and deploy agents that act on those insights.

To write this HockeyStack review, we analyzed the platform in detail. We believe it's the right choice if:

• You need multi-touch attribution across 9 models with full-funnel buyer journey visibility

• You want an AI analyst (Odin) that answers GTM questions in plain English

• You're looking to replace fragmented BI tools and spreadsheets with a single analytics layer

• Your marketing ops team needs self-service dashboard building without data engineering

• You want Blueprints that identify winning engagement patterns from your own deal data

However, HockeyStack might not be the best choice if:

• You need verified B2B contact data, direct dials, and business emails for prospecting

• You require sales execution tools alongside your analytics

• You want transparent, self-serve pricing without a mandatory sales conversation

• You need a platform with analyst validation and an enterprise-scale track record

• You're looking for conversation intelligence, website chat, or multi-channel outreach in the same platform

In this case, you should consider ZoomInfo: an AI GTM platform that goes beyond analytics to provide a B2B data foundation (500M contacts, 100M companies, 135M+ verified phone numbers, and 200M+ verified business emails), a GTM Context Graph that captures not just what happened in your deals but why, and access through GTM Workspace for sellers, GTM Studio for marketers and RevOps, or APIs and MCP in any third-party tool.

We've included a detailed look at ZoomInfo later in this HockeyStack review, as the broader platform for teams that need data, intelligence, and execution in one place. If you're ready to explore what a complete AI GTM platform looks like, you can start with ZoomInfo's free trial here.

What is HockeyStack?

HockeyStack is a B2B Revenue Data Intelligence Platform founded in 2023 by Bugra Gunduz (CEO), Arda Bulut (CTO), and Emir Atli (CRO), three childhood friends from Turkey who dropped out of college to build the company. The founding thesis: every B2B enterprise has the same problem. Revenue-facing teams rely on dozens of tools and spreadsheets with no central system of record for customer data.

The company joined Y Combinator's Summer 2023 batch, raised a $2.7M seed round led by General Catalyst, achieved 4.5x revenue growth from 2023 to 2024, and closed a $20M Series A led by Bessemer Venture Partners in January 2025. The team has 35 employees.

Today, HockeyStack is built around three pillars: GTM Intelligence (unified data, attribution, scoring, and Blueprints), AI Agents (autonomous GTM execution workflows), and Nex-LM (a proprietary LLM built for GTM data).

Source: HockeyStack

The primary buyers are marketing and sales leaders at mid-market to enterprise B2B companies: CMOs, VPs of Demand Generation, Marketing Ops, Sales Leaders, and Sales Reps.

HockeyStack Pros & Cons

HockeyStack Review: How It Works & Key Features

GTM Intelligence: HockeyStack unifies fragmented GTM data into a single analytics layer with 9 attribution models and prescriptive Blueprints.

GTM Intelligence is HockeyStack's core. It answers questions like "What's the highest-ROI way to deploy $50K in marketing spend?" by connecting every data source across the GTM motion and turning insights into actions.

Source: HockeyStack

The system ingests data from CRM, ad platforms, marketing automation, website analytics, and product usage tools, then resolves it to the account and contact level via Atlas, HockeyStack's data foundation for deduplication and identity resolution. Anonymous activity is matched via cookieless tracking using server-side SHA-256 fingerprinting, which does not degrade with browser cookie deprecation.

From there, users can analyze data through 9 attribution models simultaneously, including single-touch (first/last) and multi-touch models, down to the channel, campaign group, campaign, and ad level. The platform also combines quantitative and qualitative attribution, pairing observed touchpoints with self-reported "how did you hear about us?" answers.

One of HockeyStack's most distinctive capabilities is Blueprints. Rather than reporting what happened, Blueprints identify the actions and channels that consistently appear in successful deals, measure how close each account is to the ideal engagement mix, and prescribe next-best engagements to increase velocity and conversion.

The Buyer Journeys feature tracks the complete path from first impression to closed-won. HockeyStack claims to be "the only tool" that enables reverse-funnel analysis, starting from closed-won deals and tracing back to the touchpoints that influenced them.

Account Scoring completes the intelligence layer, combining first- and third-party data into customizable, explainable scoring models derived from historical closed-won journey patterns rather than arbitrary point rules. Each score shows which actions drive it.

Source: HoneyStack

Odin AI Analyst: HockeyStack's embedded AI answers GTM questions in plain English using a multi-agent verification architecture.

Odin is HockeyStack's AI analyst. It handles attribution queries, budget allocation recommendations, conversion analysis, dropoff diagnosis, segment breakdowns, and root-cause "why" questions, all through natural language.

What distinguishes Odin from a typical AI chat interface is its multi-agent orchestration architecture. When you ask a question, Odin does not send it to a single LLM. Instead, it generates a multi-step plan, assigns each step to a specialized agent (data querying, report building, journey aggregation), uses data science code rather than LLM reasoning to extract insights, and then runs an evaluation agent that cross-checks the analysis against the original datasets.

Source: HockeyStack

Results come from deterministic executable code, not generative prediction, giving Odin structural protection against hallucination. Each answer can be traced back to its datasets, logic, and validation steps.

Odin is accessible inside HockeyStack and via Slack by tagging @hockeystackodin. It supports scheduled prompts that deliver automated analyses via email on a daily, weekly, or monthly cadence. HockeyStack also maintains a public Odin Prompt Library organized by role, with curated prompts like "Which LinkedIn campaigns drove the most pipeline creation?" and "Where should I cut $100k in budget from?"

Current limitations are worth noting: Odin cannot perform journey-level single-company path analysis, cannot directly analyze reports via link, and has no forecasting capabilities.

AI Agents: HockeyStack offers 12 prebuilt agents and a custom builder that turn GTM intelligence into autonomous execution workflows.

HockeyStack Agents bridge insight and action. They turn plain English instructions into repeatable workflows that run on a manual or scheduled basis.

Every agent follows a reasoning engine that starts with a plain-English contract defining the goal, analyzes winning pipeline conversion and closed-won patterns, selects which signals, data, and tools to use, and feeds every outcome back to improve agent decisions across the business context.

The 12 prebuilt agents cover four categories:

• Create Pipeline: Closed Lost Deal Resurrector, Target Account Outbound Best Next Steps Generator, Marketing Budget Optimizer, Multi-Touch Attribution Anomaly Detector

• Close More: Account Pre-Call Brief, Open Deal Next Best Step Generator

• Expand and Retain: Expansion Opportunity Finder, Customer Success Playbook Orchestrator

• Management and Operations: Sales Enablement, Weekly Rep Coaching Report, Win/Loss Intelligence, AE Forecast Challenger

Source: HockeyStack

Custom Agents let you build agents for any GTM use case by defining your goal, selecting relevant data, choosing an output format, and testing. Nex-LM, HockeyStack's proprietary GTM-specific LLM, powers the agent layer with dual validation (semantic and structural checks) and automatic correction up to three attempts before anything runs.

Source: HoneyStack

These agents can process thousands of accounts overnight without timeout issues, and if a workflow fails mid-execution, it resumes where it left off.

Integrations: HockeyStack connects to 20+ GTM tools with one-click integrations across CRM, ad platforms, marketing automation, and data warehouses.

HockeyStack's integrations page lists "one-click integrations" with your tech stack:

• CRM: HubSpot, Salesforce, ActiveCampaign, Freshsales

• Ad Platforms: Google Ads, LinkedIn, Meta, Bing, TikTok, Reddit, and others

• Marketing Automation: Marketo, Salesforce Pardot, Eloqua

• ABM/Intent: 6sense, Bombora, Demandbase, G2

• Data Warehouse: BigQuery, Snowflake, Amazon S3, Amazon Redshift

• Other: Gong, Apollo, Drift, Intercom, Calendly, Segment

Source: HockeyStack

Website tracking is deployed via a JavaScript snippet with cookieless tracking enabled by default. The platform also offers an Account Intelligence API for custom integrations, and supports SSO and MFA.

Pricing: HockeyStack uses custom-quoted, sales-led pricing with no published tiers.

HockeyStack's pricing page is a demo request form. No prices, no per-seat costs, no ranges are listed. The platform offers two plans:

GTM Intelligence includes: GTM Reporting, Odin (AI Analyst), Blueprints, 2 out-of-the-box AI Agents, Account Overview, Conversion API, Scoring, Audience Sync, Enrichment, HockeyStack Signals, Workflows, and Salesforce iFrame.

GTM Execution includes: Everything in GTM Intelligence, plus all prebuilt agents, the Custom Agent Builder, and 250,000 Agent Credits.

Source: HockeyStack

Both plans include integrations with GTM tools and CRM, hands-on support from the success team, custom setups for complex data environments, and real-time ROI tracking.

Additional costs to watch: Account Intelligence Credits are provided at 10,000 annually, with additional credits at $0.08 per credit. Credits are consumed by AI research, account enrichment, and contact discovery. Customers with existing ZoomInfo contracts can substitute their own credits for enrichment.

There is no free trial and no free plan. A free Account Research Tool and Interactive Demo are available without a sales call, but neither constitutes a free product tier.

Source: HoneyStack

Where HockeyStack Falls Short

HockeyStack has built a strong analytics and intelligence layer, but several limitations reflect a platform still in its early stages, built for a specific use case rather than the full GTM workflow.

No Contact Data or Prospecting Tools. HockeyStack tells you which accounts are in-market and what engagement patterns lead to conversion. But it does not provide the verified contact data, direct dials, or business emails your sales team needs to act on those insights. Your reps still need a separate data provider to find the right people at the right accounts. Intelligence without contact data creates a gap between knowing and doing.

Opaque Pricing. With no published prices, no free trial, and no free plan, evaluating HockeyStack requires a sales conversation before you can assess value. The only way to experience the product is through an interactive demo or the limited Account Research Tool. This creates friction for buyers who want to evaluate on their own before talking to sales.

Early-Stage Risk. HockeyStack is a Series A company with 35 employees and ~$22.7M in total funding. It does not yet appear in Gartner Magic Quadrant or Forrester Wave reports. For enterprise buyers who require vendor stability and analyst validation, this stage carries risk. The 200+ customer count is modest compared to established GTM platforms with tens of thousands of customers.

Implementation Requires Hands-On Support. Multiple case studies cite white-glove implementation and dedicated success teams as key factors in getting value from HockeyStack. The pricing page lists "hands-on support from our success team" and "custom setups for complex data environments" as standard inclusions, suggesting the product is not fully self-serve. Teams that want to deploy and configure on their own may find this limiting.

AI Agents Are Unproven at Scale. The 12 prebuilt agents and custom agent builder represent HockeyStack's most ambitious feature. But all evidence of their effectiveness comes from the company's own marketing. No independent analyst reports or quantified third-party ROI case studies address the agent layer. For a feature positioned as a core differentiator, this lack of external validation is notable.

Analytics Depth Comes with Boundaries. Odin works well within its scope, but its documented limitations include no forecasting capabilities, no journey-level single-company path analysis, and an inability to directly analyze reports via link. These gaps may require workarounds for teams with advanced analytics needs.

These limitations are not failures. They reflect the trade-offs of a young company focused on building a strong analytics and intelligence layer. But they create a gap for teams that need not just intelligence, but the data foundation and execution tools to act on it.

Top HockeyStack Alternative for Complete GTM: ZoomInfo

ZoomInfo, an AI GTM platform, addresses HockeyStack's gaps by providing the full GTM stack: the data foundation, the intelligence layer, and the execution tools, all in one platform. Where HockeyStack tells you what's working, ZoomInfo gives you the data to find the right people, the intelligence to understand why deals move, and the tools to execute without leaving the platform.

The B2B Data Platform: ZoomInfo provides the verified contact and company data that analytics platforms lack.

HockeyStack's intelligence layer identifies which accounts to target and what engagement patterns drive conversion. But acting on those insights requires verified contact data, and that is where ZoomInfo's advantage becomes clear.

ZoomInfo operates a large-scale B2B data platform: 500M contacts, 100M companies, 135M+ verified phone numbers, 120M direct-dial phone numbers, and 200M+ verified business email addresses. This data is verified through a multi-source pipeline backed by 300+ human researchers and achieves up to 95% accuracy on first-party data.

The data advantage is externally validated. In a Fortune 500 competitive RFP analyzing 25 million contacts across vendors, the independent consultant concluded that "no other competitor came even close." ZoomInfo has been named a Leader in the Gartner Magic Quadrant for ABM Platforms for two consecutive years, a Leader in the Forrester Wave for Intent Data Providers, and holds 133 No. 1 rankings on G2.

Beyond identity data, ZoomInfo provides Buyer Intent Data tracking signals from 210 million IP-to-Organization pairings and 6 trillion+ new keyword-to-device pairings sourced monthly. Guided Intent, exclusive to ZoomInfo, identifies topics historically correlated with deal success rather than requiring manual topic selection.

"ZoomInfo gives us the information we need to execute. We don't have to spend our time digging. It's already there, so we can be three steps ahead." (William Kenimer, VP of Revenue Operations, Vensure)

The GTM Context Graph: ZoomInfo's intelligence layer captures not just what happened in your deals, but why.

HockeyStack unifies GTM tool data for attribution and analytics. ZoomInfo's GTM Context Graph goes further: it fuses ZoomInfo's B2B data with a customer's own CRM records, conversation transcripts, email threads, and behavioral signals, then extracts the connections between signals and outcomes across all of it.

The difference is between knowing that a deal moved to Stage 3 and understanding why. As ZoomInfo's Chief Product Officer Dominik Facher writes: "The CRM recorded the state change." It has no record of why it happened. The GTM Context Graph makes this decision context machine-readable, capturing people and their relationships, actions and their outcomes, patterns from thousands of similar deals, and the exceptions that reveal real blockers.

This intelligence layer processes 1.5B+ data points daily and exists because of twenty years of data unification infrastructure. ZoomInfo acquired Chorus not as a standalone product, but for its ability to extract from every call, meeting, and email the underlying signals that explain why deals move or stall.

"That combination of our internal CRM data, external signals, and AI that's given all that context has helped us craft very specific account- and persona-based messages. And people have responded to them right away." (Toby Carrington, CBO, Seismic)

Universal Access: ZoomInfo delivers its intelligence through dedicated seller and marketer front-ends, plus APIs and MCP for any tool.

HockeyStack delivers intelligence through its own platform. ZoomInfo provides three ways to access the same intelligence, regardless of where each team works.

GTM Workspace is the seller's front-end. It provides a complete book-of-business view across CRM, ZoomInfo data, and conversation history, with AI agents that handle account research, outreach drafting, CRM updates, and signal monitoring. GTM Workspace users report boosting pipelines by 23% and booking nearly 60% more meetings per week.

GTM Studio is the front-end for marketers, RevOps, and GTM engineers. It lets teams build audiences using natural language, enrich with first- and third-party data, define triggers, and activate plays across channels without engineering support. Expansion plays that used to take 3 weeks now launch in 30 minutes.

For teams that build beyond ZoomInfo's own products, APIs and MCP expose the same intelligence to any custom agent, internal tool, or partner platform. API access is included in all relevant plans.

Established Enterprise Track Record: ZoomInfo brings the scale and validation that early-stage platforms cannot yet offer.

ZoomInfo serves 35,000+ companies worldwide with 1,921 customers spending $100K+ annually. Named customers include Adobe, Microsoft, Snowflake, PayPal, and JPMorgan. With $1.25 billion in annual revenue and $455 million in free cash flow, ZoomInfo has the stability enterprise buyers require.

ZoomInfo also offers entry points that HockeyStack does not: ZoomInfo Lite is a permanent free tier with access to the B2B database, 10 monthly export credits, individual and company searches, the Chrome extension, and WebSights Lite (up to 10 website visitor reveals per day). A separate 7-day free trial is also available with no credit card required.

The compliance infrastructure matches the enterprise positioning: ISO 27001, ISO 27701, SOC 2 Type II, TRUSTe GDPR, and TRUSTe CCPA certifications, all renewed annually. ZoomInfo is a registered data broker in California and Vermont.

"ZoomInfo has literally changed the way we go to market." (Jeremy Melius, Sr. Director of Marketing Operations, Impartner)

HockeyStack or ZoomInfo: Comparison Summary

Final Verdict

The choice between HockeyStack and ZoomInfo depends on what your GTM team needs most: analytics depth or a complete platform.

Choose HockeyStack if:

• Your main challenge is understanding which marketing and sales activities actually drive revenue

• You need multi-touch attribution across multiple models

• You want insights based on your own closed-won data through Blueprints

• You value an AI analyst that answers GTM questions in plain English

• You already have strong data and execution tools and need an analytics layer to connect them

Choose ZoomInfo if:

• You need data, intelligence, and execution tools in one platform

• You want a large-scale B2B data foundation to power your GTM

• You need visibility into why deals move or stall through a GTM Context Graph

• Your team wants dedicated tools for sales (GTM Workspace) and marketing (GTM Studio)

• You prefer a single workflow from account discovery to outreach without stitching multiple vendors

Run your entire GTM workflow in one place with ZoomInfo.

The core difference is scope. HockeyStack is a focused analytics platform that excels at answering "what's working and why" across your existing GTM tools. ZoomInfo is the broader platform that provides the data, the reasoning, and the execution layer so your team can act on those answers.

HockeyStack FAQ

What does HockeyStack do?

HockeyStack is a B2B Revenue Data Intelligence Platform that unifies sales and marketing data from 20+ GTM tools into a single timeline of account activity. It provides multi-touch attribution across 9 models, AI-powered analytics through its Odin analyst, Blueprints, account scoring, and AI agents that execute GTM workflows. It is designed for mid-market to enterprise B2B companies with complex, multi-tool go-to-market stacks.

How much does HockeyStack cost?

HockeyStack does not publish pricing. All plans require booking a demo and going through a sales conversation. The platform offers two tiers: GTM Intelligence (analytics, attribution, Odin, Blueprints, 2 AI agents) and GTM Execution (everything in Intelligence plus all prebuilt agents, custom agent builder, and 250,000 agent credits). Additional Account Intelligence credits beyond the 10,000 included annually cost $0.08 per credit. There is no free plan or free trial.

Does HockeyStack provide B2B contact data?

No. HockeyStack is an analytics and intelligence platform, not a data provider. It does not include a contact database, direct dial phone numbers, or verified business emails. To act on HockeyStack's insights with outbound outreach, you need a separate B2B data provider. ZoomInfo offers 500M contacts, 135M+ verified phone numbers, and 200M+ verified business email addresses as part of its platform.

What is HockeyStack's Odin AI?

Odin is HockeyStack's embedded AI analyst. It uses a multi-agent orchestration architecture to answer GTM questions in natural language, running deterministic executable code rather than generative prediction to avoid hallucination. Odin handles attribution queries, budget recommendations, conversion analysis, and segment breakdowns. It is accessible inside HockeyStack and via Slack. Current limitations include no forecasting, no single-company journey analysis, and an inability to analyze reports shared via link.

How long does it take to implement HockeyStack?

HockeyStack claims fast time-to-value, with one customer (Dice) reporting dashboards live within one week. However, implementation is not fully self-serve. The pricing page includes "hands-on support from our success team" and "custom setups for complex data environments" as standard inclusions. The platform requires connecting CRM, ad platforms, marketing automation, and website tracking, with Atlas handling data unification and identity resolution.

Is HockeyStack GDPR compliant?

Yes. HockeyStack uses cookieless tracking via server-side SHA-256 fingerprinting, with IP addresses deleted before being written to disk. The resulting visitor IDs cannot be reverse-decrypted. HockeyStack confirms fingerprinting is GDPR compliant and publishes a Data Processing Agreement. However, certifications such as SOC 2 or ISO 27001 could not be confirmed from publicly accessible sources at the time of review.

What integrations does HockeyStack support?

HockeyStack integrates with CRMs (Salesforce, HubSpot, ActiveCampaign, Freshsales), ad platforms (Google Ads, LinkedIn, Meta, Bing, TikTok, Reddit, and others), marketing automation (Marketo, Pardot, Eloqua), ABM/intent tools (6sense, Bombora, Demandbase, G2), data warehouses (BigQuery, Snowflake, Amazon S3), conversational tools (Gong, Drift, Intercom), and scheduling tools (Calendly). Website tracking uses a JavaScript snippet with cookieless tracking enabled by default.

Who are HockeyStack's competitors?

HockeyStack competes primarily with marketing analytics and attribution platforms. For teams that need analytics plus B2B data and execution tools, ZoomInfo offers a broader solution with 500M contacts, native intent data, conversation intelligence via Chorus, dedicated seller and marketer front-ends, and access through APIs and MCP.