Category
Revenue Intelligence
Key features
Multi-touch attribution
Lift and incrementality analysis
Cookieless buyer journey tracking
01 — Overview
What is
HockeyStack
HockeyStack pulls marketing, sales and product data into one place so revenue teams can see the full buyer journey from anonymous first visit to closed deal. Teams use it for multi-touch attribution, lift and incrementality testing, account and lead scoring, and custom reports built without SQL. It also runs AI sales agents that turn CRM, call and engagement data into daily next steps for reps on deals and prospecting.
The verdict
B2B revenue data, attribution and AI agents
02 — Who it’s for
Ideal Customer Profile
Built for B2B marketing leaders, GTM operations and sales leaders who need one shared view of pipeline. The site has a dedicated enterprise team and shows large customers such as Mastercard, Rakuten and RingCentral.
03 — Capabilities
Key Features
Multi-touch attribution
Lift and incrementality analysis
Cookieless buyer journey tracking
Account and lead scoring
No-SQL custom reports and dashboards
AI sales agents for deal tasks
Two-way sync to CRM, ads and warehouses
05 — Similar tools
Alternatives
06 — FAQ
Frequently Asked Questions
What is HockeyStack used for?
HockeyStack is used to connect marketing, sales and product touchpoints to revenue, so teams can see which channels and campaigns create pipeline through attribution, incrementality and custom dashboards.
Who is HockeyStack for?
It is aimed at B2B marketing leaders, GTM and revenue operations teams and sales leaders. Its Sales Agents product also gives individual reps daily tasks for open deals and prospecting.
Which tools does HockeyStack integrate with?
It connects to Salesforce, HubSpot and Dynamics, marketing automation tools like Marketo, Pardot and customer.io, ad platforms including LinkedIn, Google, Meta, Reddit and Bing, intent sources like 6sense, Bombora and G2, plus Gong, ZoomInfo, Cognism and Calendly.
Can HockeyStack send data to a data warehouse?
Yes. HockeyStack lists Snowflake, BigQuery, Databricks, ClickHouse, Amazon S3 and Azure Blob Storage as warehouse connections, and it can push attribution and conversion data back to CRMs and ad platforms.