HockeyStack Review: What You Need to Know

HockeyStack is a strong choice for multi-touch attribution, AI-powered GTM analytics, and buyer journey intelligence. It is a limited choice for teams that also need a verified B2B contact database, sales execution tools, or analyst-validated enterprise infrastructure in one platform.

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 is 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 are 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

In this case, you should consider ZoomInfo: an all-in-one 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 have 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 are 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). 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 and Cons

HockeyStack Review: How It Works and 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 is the highest-ROI way to deploy $50K in marketing spend?" by connecting every data source across the GTM motion and turning insights into actions.

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.

Users can analyze data through 9 attribution models simultaneously, including single-touch and multi-touch models, down to the channel, campaign group, campaign, and ad level. 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.

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 questions through natural language.

What distinguishes Odin from a typical AI chat interface is its multi-agent orchestration architecture. When you ask a question, Odin generates a multi-step plan, assigns each step to a specialized agent, 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. Results come from deterministic executable code rather than generative prediction, giving Odin structural protection against hallucination.

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.

AI Agents bridge insight and action in HockeyStack. They turn plain English instructions into repeatable workflows that run on a manual or scheduled basis. The 12 prebuilt agents cover common GTM workflows. The custom agent builder lets teams create workflows tailored to their specific playbooks.

HockeyStack also built Nex-LM, a proprietary large language model trained on GTM data, to power more accurate agent outputs than general-purpose LLMs provide for revenue intelligence use cases.

Integrations and Pricing

HockeyStack's integrations page lists one-click integrations with the major GTM tools:

• 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

HockeyStack's pricing page is a demo request form. No prices, no per-seat costs, and 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.

Both plans include hands-on support from the success team and custom setups for complex data environments. Additional Account Intelligence Credits beyond the 10,000 included annually cost $0.08 per credit. 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. For more detail on HockeyStack's pricing structure, see our HockeyStack pricing breakdown.

What Users Say About HockeyStack: G2 and Peer Review Themes

HockeyStack holds a 4.5 out of 5 rating on G2 based on 82 reviews. That is a strong early-stage rating, though the review corpus is modest compared to established platforms with thousands of reviews.

Common praise from reviewers centers on HockeyStack's real-time insights and ease of integration: users consistently highlight the platform's ability to track marketing performance without requiring heavy data engineering overhead. The multi-touch attribution capability and the speed to first dashboard value are recurring positives.

Common criticisms align with the platform's limitations: pricing opacity is frequently mentioned (buyers go into procurement conversations with no public benchmark), and teams with complex data environments report that the white-glove onboarding process can extend timelines. A number of reviewers also note that the platform is most valuable when a team already has strong CRM hygiene and clean data flowing in.

HockeyStack does not yet appear in Gartner Magic Quadrant or Forrester Wave evaluations, which is expected for a Series A platform. Teams that need analyst validation for executive defensibility will not find it here at this stage.

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. 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.

Early-Stage Risk. HockeyStack is a Series A company with 35 employees and approximately $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.

Implementation Requires Hands-On Support. Multiple case studies cite white-glove implementation and dedicated success teams as key factors in getting value from HockeyStack. Teams that want to deploy and configure independently 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.

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.

Top HockeyStack Alternative for Complete GTM: ZoomInfo

ZoomInfo, an all-in-one AI GTM Platform, addresses HockeyStack's core gaps by combining data, intelligence, and execution in a single platform. Where HockeyStack tells you what is working, ZoomInfo gives you the data to find the right people, the intelligence layer to understand why deals move, and the execution tools to act without leaving the platform.

The data foundation is the most immediate gap. ZoomInfo operates at 500M contacts, 100M companies, 135M+ verified phone numbers, and 200M+ verified business emails, verified through a multi-source pipeline backed by 300+ human researchers. 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 and a Leader in the Forrester Wave for Intent Data Providers. For marketing and demand gen leaders, Smartsheet used ZoomInfo to achieve 84% MQL lift, a 26% opp rate lift, and a 59% win rate lift with full-funnel attribution showing exactly which channels drove each outcome.

The intelligence layer is GTM Context Graph, ZoomInfo's reasoning layer that fuses ZoomInfo's B2B data with a customer's CRM records, conversation transcripts, email threads, and behavioral signals. The difference from HockeyStack's attribution model is directional: HockeyStack tells you what channels correlated with winning deals; the GTM Context Graph captures why deals moved and extracts that context across thousands of deals to predict what will move the next one. Toby Carrington, CBO at Seismic, describes it: "That combination of our internal CRM data, external signals, and AI that has given all that context has helped us craft very specific account- and persona-based messages. And people have responded to them right away."

Access is available through three lanes: GTM Workspace for sellers (AI agents that handle account research, outreach drafting, CRM updates, and signal monitoring), GTM Studio for marketers and RevOps (natural language audience building, enrichment, and activation), and APIs and MCP for teams building custom workflows or AI agents. GTM Workspace users report boosting pipelines by 23% and booking nearly 60% more meetings per week. ZoomInfo also offers a permanent free tier (ZoomInfo Lite) and a 7-day free trial, giving teams an entry point HockeyStack does not provide.

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 in a single analytics layer

• 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

• You want a platform that has passed enterprise validation with Gartner and Forrester

If you are evaluating alternatives to HockeyStack more broadly, our HockeyStack alternatives guide covers seven platforms across the attribution and GTM intelligence category.

Run your entire GTM workflow in one place with ZoomInfo.

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 for prescriptive next-best actions, 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. For a full breakdown, see our HockeyStack pricing page.

Does HockeyStack provide B2B contact data?

No. HockeyStack is an analytics and intelligence platform, not a contact data vendor. 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 data source. 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.

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 this review.

What integrations does HockeyStack support?

HockeyStack integrates with CRMs (Salesforce, HubSpot, ActiveCampaign, Freshsales), ad platforms (Google Ads, LinkedIn, Meta, Bing, TikTok, Reddit), 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.

More HockeyStack comparisons and guides

If you're interested in reading more, you might like:

• [7 HockeyStack Alternatives Worth Considering [2026]](https://pipeline.zoominfo.com/sales/hockeystack-alternatives)

• 6sense vs. HockeyStack (vs. ZoomInfo): Which B2B Revenue Intelligence Platform Fits Your GTM Strategy in 2026?

• Demandbase vs. HockeyStack (vs. ZoomInfo): Which B2B GTM Platform Should You Choose in 2026?