HockeyStack vs Windsor.ai Comparison: Reviews, Features, Pricing & Alternatives in 2026

Detailed side-by-side comparison to help you choose the right solution for your team

Updated Apr 2026 8 min read

HockeyStack

0.0 (0 reviews)

HockeyStack is an analytics and attribution platform that helps B2B companies track the entire customer journey from first touch to closed-won revenue to optimize marketing spend.

Starting at $1399/mo
Free Trial 14 days
VS

Windsor.ai

0.0 (0 reviews)

Windsor.ai is a marketing data attribution software that connects all your marketing performance data to your preferred analytics, data visualization, and data warehouse tools for better ROI tracking.

Starting at Free
Free Trial 30 days

Quick Comparison

Feature HockeyStack Windsor.ai
Website hockeystack.com windsor.ai
Pricing Model Subscription Freemium
Starting Price $1399/month Free
FREE Trial ✓ 14 days free trial ✓ 30 days free trial
Free Plan ✘ No free plan ✓ Has free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment cloud saas
Integrations Salesforce HubSpot LinkedIn Ads Google Ads Slack Segment Pipedrive Marketo Intercom Facebook Ads Google Ads Facebook Ads LinkedIn Ads Google Analytics BigQuery Looker Studio Power BI Snowflake TikTok Ads Shopify
Target Users mid-market enterprise small-business mid-market enterprise
Target Industries
Customer Count 0 0
Founded Year 2020 2017
Headquarters San Francisco, USA Zurich, Switzerland

Overview

H

HockeyStack

HockeyStack gives you a unified view of your entire B2B go-to-market engine by connecting your website, CRM, and ad platforms. You can finally stop guessing which campaigns drive revenue and start seeing the exact path your customers take, from their first ad click to the final contract signature. It eliminates the data silos between your marketing and sales teams, providing a single source of truth for your growth metrics.

The platform is built specifically for B2B companies with complex, multi-touch sales cycles. You can build custom dashboards, run multi-touch attribution models, and identify which content pieces actually influence deals. By surfacing these insights, you can double down on what works, cut wasted ad spend, and align your entire organization around revenue goals rather than just vanity metrics like clicks or impressions.

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Windsor.ai

Windsor.ai is a data integration and marketing attribution platform that helps you centralize all your marketing data in one place. Instead of manually exporting CSVs from different platforms, you can automate the flow of data from over 75 sources—including Facebook Ads, Google Ads, and LinkedIn—directly into your favorite reporting tools like Looker Studio, Power BI, or BigQuery.

You can use the platform to gain a clear view of your customer journey through multi-touch attribution modeling. This allows you to see exactly which touchpoints contribute to conversions, helping you optimize your ad spend and improve your overall return on investment. It is designed for performance marketers, agencies, and data analysts who need to move beyond basic reporting to advanced data-driven decision making.

Overview

H

HockeyStack Features

  • Multi-Touch Attribution Assign revenue credit to every interaction across the funnel so you know exactly which channels deserve your budget.
  • Unified Customer Journeys View the complete history of every account by stitching together website visits, CRM activities, and ad impressions.
  • Custom Dashboard Builder Create personalized reports with a drag-and-drop interface to track the specific KPIs that matter to your stakeholders.
  • Revenue Forecasting Predict future pipeline and revenue based on historical conversion data and current marketing performance trends.
  • Account-Based Analytics Track engagement at the company level rather than just individual leads to better support your ABM strategies.
  • No-Code Tracking Capture every button click and form submission automatically without needing to write custom Javascript or tracking code.
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Windsor.ai Features

  • Multi-Touch Attribution. Track every customer touchpoint across different channels to see which campaigns actually drive your sales and conversions.
  • Automated Data Pipelines. Connect your marketing platforms to destinations like BigQuery or Snowflake with automated refreshes that keep your data current.
  • Looker Studio Connectors. Build professional marketing dashboards in minutes using pre-built connectors that bypass the limitations of native platform tools.
  • Cross-Channel Mapping. Join data from disparate sources into a single schema so you can compare performance across Google, Meta, and TikTok side-by-side.
  • No-Code Integration. Set up complex data flows between your ad accounts and data warehouses without writing a single line of code.
  • Customer Journey Mapping. Visualize the path your customers take from the first ad click to the final purchase across all digital devices.

Pricing Comparison

H

HockeyStack Pricing

Accelerate
$1399
  • Up to $10M tracked revenue
  • Unlimited users
  • Multi-touch attribution
  • CRM & Ad integrations
  • Customer journey mapping
  • Standard support
W

Windsor.ai Pricing

Free
$0
  • 1 report per month
  • 1 data source included
  • Looker Studio destination
  • Standard email support
  • Basic attribution models

Pros & Cons

M

HockeyStack

Pros

  • Fast implementation compared to traditional attribution tools
  • Excellent customer support via dedicated Slack channels
  • Intuitive interface makes complex data easy to visualize
  • Automatic tracking captures data without manual tagging

Cons

  • Higher starting price point for smaller startups
  • Initial setup requires careful CRM data mapping
  • Learning curve for building complex custom reports
A

Windsor.ai

Pros

  • Extensive library of marketing data connectors
  • Affordable entry-level pricing for small agencies
  • Simple setup for Looker Studio dashboards
  • Responsive customer support for technical issues

Cons

  • Initial data mapping can be technical
  • Documentation can be sparse for complex setups
  • Occasional latency with large data refreshes
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