HockeyStack vs RevSure: What’s the best B2B marketing attribution software for GTM teams in 2026?

GTM organizations require dedicated tools to effectively track, measure, and optimize B2B buyer’s journeys, but determining the right combination can feel daunting. There were over 15,000 MarTech solutions on the market in 2025 and 77% of products added in the past year were AI-native. So how do you cut through all the clutter and pinpoint the best AI marketing attribution software for your team? 

This trusty guide is here to help you evaluate two options, HockeyStack and RevSure. HockeyStack is a GTM AI platform that combines predictive multi-touch attribution with deep, actionable insights and agentic workflows to rapidly optimize pipeline performance. RevSure is a marketing attribution solution that offers pipeline analytics and forecasting. 

What’s in The Guide

While both HockeyStack and RevSure are technically AI platforms, the similarities end there. This guide breaks it all down for you:

• Quick overview of each solutions
• 3 primary differences between HockeyStack and RevSure
• Side-by-side feature comparison
• Key considerations for enterprise teams

We’ve also compiled verifiable metrics and customer reviews wherever possible—our goal is to provide you with a genuinely helpful guide to assist in your research, so you can determine the best choice for your team.

HockeyStack vs RevSure: A Quick Overview

HockeyStack at a Glance

As a GTM AI platform, HockeyStack was purpose-built for complex B2B buyer’s journeys. It behaves like a single system of record, insight, and action for growing and enterprise revenue teams by:

• Unifying every data source in your tech stack, including CRM, MAP, data warehouse, website,  ad platforms, even product telemetry
• Surfacing actionable recommendations and insights across every channel, campaign, and touchpoint to tell you what’s working and how to improve
• Deploying AI agents and workflows to rapidly optimize spend, improve pipeline performance, and grow revenue—based on real-time buyer behavior

HockeyStack by the Numbers

Over 200 B2B teams currently use HockeyStack as their central source of truth for pipeline and revenue performance, including ActiveCampaign, Front, Mastercard, n8n, Rakuten, RingCentral, and Vidyard. 

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The average HockeyStack customer reports:

• 49% increase in closed-won deals from Marketing Qualified Leads (MQLs)
• 28.5% increase in qualified pipeline generated per customer
• 139% increase in Return on Ad Spend (RoAS)
• 5X increase in ROI at the revenue level

HockeyStack was founded in 2022 and raised $20M in a Series A led by Bessemer Venture Partners in 2025. It is based in San Francisco.

RevSure at a Glance

RevSure is an AI-driven pipeline analytics platform that aims to improve performance through predictive scoring and revenue forecasting. It emphasizes predictive scoring and conversion probability models, with touchpoint coverage focused more on known contacts and standard CRM activities than deeper buyer’s journey analysis and optimization. RevSure features include a chatbot and customizable dashboards.

RevSure by the Numbers

RevSure was founded in 2021 and last funded over 2.5 years ago in a $10M seed round. The company is based in Bengaluru, India.

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3 Big Differences Between HockeyStack and RevSure

Before diving straight into a side-by-side feature comparison, let’s dig into some of the core differences between HockeyStack and RevSure. We think it’s important to look under the hood and address how both platforms were actually built for two reasons:

1. The underlying architecture impacts everything from features to usability
2. Any solution can push new features, but it’s incredibly challenging to modify the foundations later on. 

It’s good to know what you’re getting into from the start, so you can more effectively determine which software best tracks full-funnel B2B journeys.

1. Data architecture & processing

HockeyStack’s proprietary data foundation, Atlas, unifies data from every source in your GTM tech stack into a single queryable layer. This feeds everything from AI agent workflows and analyst recommendations to intuitive dashboards, forming a 360 degree view of the entire buyer’s journey—from first anonymous visit to closed-won account. In fact, HockeyStack reveals an average of 4-6X more touchpoints than traditional CRM-based data models, around 80-120 actions per opportunity. And it does it fast.

HockeyStack is built on ClickHouse, a columnar database designed to process enterprise workloads in real-time—we’re talking millions of rows per second, with sub-second latency. OpenAI, Anthropic, Uber, IBM, Cloudflare, Cisco, Lyft, and Twilio are all built on the same ClickHouse architecture.

What truly sets HockeyStack apart is the depth and breadth of its foundational data capabilities, spanning data acquisition, deduplication, identity resolution, categorization, governance, and activation. Insights are surfaced from a single, centralized core, offering unparalleled pipeline visibility based on real-time buyer behavior, engagement, and account activity across any combination of campaigns, channels, and touchpoints. HockeyStack’s real-time processing and action-based model also enables dynamic analysis, with all activity and engagement immediately reflected.

RevSurewas built on an object-based model focused on data acquisition and deduplication. While this may offer some improvement from CRM-native reporting, its architecture lacks more robust data functionality necessary to convert raw data into actionable insights, like categorization, governance, and activation. 

Another foundational limitation with RevSure is its batch processing, which introduces latency between when an event occurs and when it appears in your reports. For GTM teams looking to run real-time lead routing, automate workflows, or respond to evolving buyer behavior, this delay creates friction—especially with enterprise data loads. Waiting hours for data to refresh breaks routing workflows, delays decision-making, and makes real-time optimization impossible.

2. AI features and functionality

Here’s the thing about AI. Buzz doesn’t always equal impact, and not every “AI-powered” feature is equally reliable or useful. There’s a difference between random acts of automation and true GTM intelligence equipped for complex buyer’s journeys. So how do you know which is which?

HockeyStack was built as a GTM AI platform from day one. That means every single AI capability—from agentic pipeline workflows to analyst recommendations—operates from a central foundation of real-time GTM data. It’s like equipping your revenue team with a dedicated command center that learns from, adapts to, and optimizes your pipeline in real-time.

While HockeyStack agents analyze data, research accounts, surface insights, and automate workflows, RevSure’s limited data foundation can only support basic performance optimizations and surface-level agentic capabilities. Teams are further inhibited by rigid automation workflows, forced to toggle between products and create manual reports to uncover meaningful intel they can actually use to improve pipeline performance. As one RevSure customer cautioned on G2: “Not super convinced on the projections and use of AI in the tool yet. A few of the views that we wanted have had to be built by their implementation teams for us… it is hard to be autonomous as there is a learning curve for non-technical users… [RevSure] isn't a magic solution for attribution and you will have to ensure your systems and operations are locked down before implementing a tool like this.”

3. Implementation and support

HockeyStack was designed to get teams up and running as quickly as possible. That’s why every customer is guided through a personalized onboarding process by a dedicated Customer Success Manager (CSM) and backed by a hands-on technical support team. This approach expedites time to value while ensuring proactive communication and smooth implementation from day one. Dashboards are typically live within days and full rollout in 4-5 weeks. Ongoing maintenance is also minimal in HockeyStack—no schema work, manual attribution logic updates, or ETL upkeep. 

RevSure relies heavily on offshore teams, with limited coverage as accounts scale. This causes slow implementations, fragmented support, and long wait times when customers need help. Time zone gaps also mean RevSure customers are left to troubleshoot on their own. According to G2, RevSure’s average time to implement is six months.

Category-by-Category Comparison

HockeyStack vs RevSure Feature Comparison Chart

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Multi-Touch Attribution and Identity Resolution

Effective multi-touch attribution not only assigns credit to sales and marketing activities that influence a deal. It also enables GTM teams to consistently answer one simple question: what actually drove this revenue? The quality of your answer depends on how many touchpoints you can see.

HockeyStack captures the complete B2B buyer’s journey in a single unified view. Anonymous site visits, ad impressions, content engagement, sales activity, even product usage are all tied together at the account level. You can instantly switch between attribution models and even use predictive attribution to forecast revenue based on real-time buyer behavior. 

Beyond standard attribution, HockeyStack also measures incremental lift to reveal the  true causal impact of a channel or campaign versus correlation-based credit. This distinction matters because some touchpoints simply happen to be present in winning deals without actually influencing the outcome. Incremental analysis helps you distinguish between channels that drive pipeline and channels that just show up in the journey. 

RevSure's touchpoint coverage tends to focus on known contacts and standard CRM activities. This approach may be sufficient for shorter buyer’s journeys but fails to capture early engagement—when B2B buyers engage with ads, visit your website, and consume content before ever identifying themselves.

HockeyStack solves this challenge with its proprietary fingerprinting technology, which captures pre-form-fill engagement through a unique combination of identifiers, including:

• Device type
• Screen height, width, and depth
• Browser
• OS
• Browser language
• Browser version
• Plugins installed
• Extensions
• Country and city data
• Timezone
• API key

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This cookieless approach effectively consolidates these data points, which can then be connected to a single person or account for unparalleled visibility.

AI-Powered Insights and Recommendations

HockeyStack’s AI analysts Odin and Nova use everyday language to make recommendations and surface nuanced insights into pipeline performance. You can ask “Which Q3 assets influenced enterprise pipeline the most?” and get a direct answer with supporting data.

HockeyStack takes it further than most AI driven attribution tools for B2B. Every time you ask a question, specialized agents run an analysis code to calculate metrics. A dedicated evaluation agent then validates the output before it reaches you, which significantly reduces hallucinations.

This ensures every insight in HockeyStack is both traceable and auditable; essential when CMOs and CFOs make million-dollar budget decisions based on AI recommendations. Further, customer data is never used to train global models, and all AI features are opt-in with full data ownership retained by the customer.

RevSure offers predictive scoring and conversion probability features that forecast which deals will close. Teams looking to delve into deeper questions like “What’s actually driving our pipeline?” will likely require more robust analytical capabilities than RevSure was built for.

Attribution Reporting & Analytics

The best dashboards for B2B attribution reporting are ones you actually use.

HockeyStack equips GTM teams to analyze touchpoints, measure attribution, and surface quality insights without writing SQL or submitting tickets to Data Engineering or RevOps.

HockeyStack's clean, intuitive dashboards and chatbot analysts enables self-serve data slicing across geography, product, channel, and ACV. You can rebuild reports dynamically, swap attribution models, and explore cohorts independently. HockeyStack also supports business-defined governance to define funnel stages, channel groupings, touchpoint categories, and attribution rules. When definitions change, every dashboard and report updates instantly—no reprocessing or engineering work required. HockeyStack’s flexibility eliminates manual grunt work as your business logic evolves— campaigns change, channels shift, and what counts as a "qualified" touchpoint today might differ from last quarter.

RevSure’s rigid data foundation leaves little room for customization, confining users to pre-set templates that can’t answer deeper questions around campaign, channel, and pipeline performance.

Key considerations for enterprise teams

Enterprises have additional complexity to consider when determining the best B2B marketing attribution software. These include:

AI Accuracy and Enterprise Trust

AI trust is non-negotiable for enterprise teams. HockeyStack's AI runs in a secure, isolated environment and customer data is never used to train global models. Additionally, all outputs  are traceable and auditable.

When evaluating AI features, it's worth asking vendors whether your data trains their models and whether outputs are explainable. Hallucinated insights can be worse than no insights at all—especially when they inform budget decisions.

Data Complexity and Quality Controls

Your attribution capabilities are only as good as the data behind it. Enterprise B2B organizations typically have messy CRMs stuffed with duplicates, conflicting field values, and the same person appearing differently across systems. There’s also multiple marketing tools and complex data structures in the mix.

HockeyStack assumes your data is imperfect by design, automatically normalizing, deduplicating, and reconciling without manual cleanup. So basically, it works with your existing reality rather than requiring you to change it first.

Additionally, HockeyStack was built from the ground up to rapidly process massive volumes of GTM data, without compromising on quality or flexibility—making it a strong choice for enterprise teams. Its ClickHouse architecture features columnar compression, which keeps storage costs stable even as data volume expands. 

This prevents costs from spiking unpredictably when you add new data sources or your traffic increases—a common concern with batch-based systems that charge by query volume, like RevSure.

Custom Salesforce Object Support

Enterprise organizations tracking partner activities, product usage, or industry-specific data through custom Salesforce objects require additional support. HockeyStack ingests these natively, so you never lose visibility into your attribution. 

Complex Account Hierarchy Handling

HockeyStack handles both heterogeneous and homogeneous hierarchies, including multi-brand organizations and global subsidiaries. Instead of forcing CRM merges or pretending there's one perfect hierarchy, it shows separate brand journeys and also rolls up to parent accounts—so you can gain visibility into enterprise account activity, without restructuring your entire CRM.  

Touchpoint Governance and Business-Defined Rules

Unlike rigid attribution tools, HockeyStack lets your team define funnel stages, channel groupings, touchpoint categories, and attribution rules. When definitions change, every dashboard and report updates instantly—no reprocessing or engineering work required.

Data privacy and security standards

HockeyStack maintains rigorous data security protocols and compliance for enterprise teams. The platform is certified SOC 2 Type II, GDPR, ISO 27001.

RevSure is also SOC 2 Type II and ISO 27001 compliant. 

“Which platform is right for me?”

Why B2B Teams Choose HockeyStack for Full-Funnel Attribution

The choice between HockeyStack and RevSure ultimately depends on what problem you're solving. If you want comprehensive buyer journey visibility, real-time attribution, and AI-powered analysis across your entire GTM motion, HockeyStack delivers capabilities that RevSure's forecasting-focused approach doesn't match.

Teams may choose Revsure if they are primarily focused on pipeline forecasting and conversion predictions, with less emphasis on granular touchpoint analysis, substantial AI insights, and agentic pipeline optimization workflows.

FAQs About HockeyStack vs RevSure

How does HockeyStack pricing compare to RevSure pricing?

Both platforms offer custom enterprise pricing based on data volume and features. 

Can I migrate from RevSure to HockeyStack without losing historical data?

HockeyStack can ingest historical data from your existing systems during onboarding. This preserves continuity in your reporting and lets you analyze trends across the transition period.

Which platform is better for organizations using Salesforce extensively?

HockeyStack offers native support for custom Salesforce objects and complex account hierarchies. If your Salesforce instance is heavily customized, HockeyStack provides deeper integration than platforms limited to standard objects.

Does HockeyStack support product-led growth analytics alongside marketing attribution?

Yes. HockeyStack ingests product telemetry data and unifies it with marketing and sales engagement for complete buyer journey visibility across both PLG and sales-led motions.

Check out the interactive demo to see HockeyStack in action.