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HockeyStack

Features
Ease of use
Ease of management
Quality of support
Affordability
Market presence
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Pricing from
$1,400 per month
Free Trial unavailable
Free version unavailable
User corporate size
Small
Medium
Large
User industry
  1. Information technology and software
  2. Professional services (engineering, legal, consulting, etc.)
  3. Media and communications

What is HockeyStack

HockeyStack is a go-to-market analytics platform that connects product, marketing, and sales data to report on pipeline and revenue outcomes. It is used by revenue operations, marketing ops, and growth teams to understand which channels, campaigns, and content influence account engagement and conversions. The product emphasizes multi-touch attribution, account-level reporting, and journey analytics across anonymous and known users. It typically integrates with common CRM and marketing automation systems to unify reporting across the funnel.

pros

Unified GTM data model

HockeyStack is designed to combine website/product events with CRM and marketing system data into a single reporting layer. This supports analysis that ties early-stage engagement to downstream pipeline and revenue. It helps teams reduce reliance on separate point tools for web analytics versus revenue reporting. The account-level view aligns with B2B buying journeys where multiple stakeholders interact over time.

Account-based journey analytics

The platform supports account-centric reporting that aggregates activity across contacts and sessions. This is useful for ABM-style measurement, including engagement trends and touchpoint sequencing at the account level. It can help revenue teams understand how different personas and channels contribute across a longer sales cycle. The focus on account journeys differentiates it from tools centered primarily on individual-user web sessions.

Attribution and content impact

HockeyStack provides multi-touch attribution and reporting intended to connect campaigns and content to pipeline outcomes. This supports decisions about channel mix, content investment, and conversion paths. It is oriented toward B2B measurement where multiple touches occur before an opportunity is created. The reporting is structured for revenue teams that need to justify spend with pipeline and revenue influence.

cons

Implementation depends on data quality

Results depend on consistent tracking, identity resolution, and clean CRM data. If opportunity stages, campaign tagging, or contact-account relationships are incomplete, attribution and journey reports can be misleading. Teams often need governance and ongoing operations work to keep data reliable. This is a common constraint for RO&I platforms that unify multiple systems.

Not a full ABM execution suite

While it supports account-based analytics, it is not primarily an account-based execution system for running ads, orchestrating outreach, or managing sales engagement workflows. Organizations may still need separate tools for activation and sequencing. This can increase total stack complexity and integration requirements. Buyers expecting an end-to-end execution platform should validate scope carefully.

Attribution modeling trade-offs

Multi-touch attribution requires assumptions about credit allocation and lookback windows, which can vary by business model. Cross-device behavior, cookie restrictions, and offline touches can reduce completeness of the journey. Different stakeholders may disagree on which model is 'correct,' requiring internal alignment. Teams should expect iteration to calibrate models and definitions.

Plan & Pricing

Plan Price Key features & notes
Growth $1,400 per month Includes all platform integrations; multi-touch attribution models; account and user journeys; LinkedIn Ads impression tracker; cookieless tracking; free onboarding; Slack community.
Scale $2,400 per month Everything in Growth plus lead scoring; IP identification; cohort analysis; pipeline goal settings; dedicated account manager; 1:1 Slack support.
Enterprise Custom Everything in Scale plus forecasting; mix modelling; budget optimization; machine learning attribution; data warehouse integration; offline conversion.

Seller details

HockeyStack, Inc.
Unsure
Private
https://www.hockeystack.com/
https://x.com/hockeystack
https://www.linkedin.com/company/hockeystack/

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HockeyStack

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