HockeyStack is an enterprise revenue platform pitching "Revenue Agents" — AI agents that automate prospecting, new business, and expansion based on Blueprint, a proprietary ML model that reverse-engineers winning sales processes from historical deal data. Founded 2023, $50M total raised (Bessemer Venture Partners, Y Combinator, Uncorrelated Ventures, announced April 15, 2026). 300+ customers in under two years, with Fortune 100 logos including Mastercard, GitHub, Mimecast, RingCentral, Sumo Logic.

What does HockeyStack actually replace in a GTM stack?

Primary targets: Bizible (Marketo Measure) and Dreamdata for B2B attribution. Secondary targets: Clari for forecasting and RevOps dashboarding, parts of Gong (forecast features only — call recording and coaching stay), and custom warehouse + Looker setups for revenue analytics. The platform doesn't replace your CRM (it integrates with Salesforce and HubSpot), call recording (Gong, Zoom stay), or your sequencer (Outreach, Salesloft, Apollo stay).

What is HockeyStack's Blueprint?

Blueprint is HockeyStack's proprietary machine learning model. It reverse-engineers winning sales processes by analyzing every touchpoint and signal across your sales stack — won deals vs lost deals, deal velocity, stakeholder engagement patterns, content interactions. Unlike rule-based forecasting models, Blueprint adapts as new outcomes occur. The pitch: "preserves full sequence and causality of every interaction" rather than treating revenue activities as isolated events.

How much does HockeyStack cost?

Pricing isn't published. The Fortune 100 customer profile, enterprise positioning, and $50M raise all signal six-figures-plus annual contracts. The honest evaluation: compare against your current Bizible + Dreamdata + Clari + custom analytics spend. For Fortune 1000 teams already paying $200K-$500K/yr on the attribution + forecasting + analytics stack, the consolidation math can work. Below $10M ARR, the unit economics likely don't justify it.

What's the agent-shaped redundancy risk with HockeyStack?

High. Attribution stacks have the most overlap of any GTM category — most enterprises pay for Bizible + Dreamdata + Clari + warehouse-native analytics simultaneously, doing variations of the same job. Adding HockeyStack without explicitly cutting Bizible/Dreamdata/Clari attribution layers compounds the spend instead of consolidating it. The fix: pre-commit cancellation deadlines for incumbent attribution tools as part of HockeyStack contract negotiation. Don't sign HockeyStack without a written cutover plan.

How is HockeyStack different from Clari's revenue platform?

Different architectural framing. Clari is a CRM-native revenue platform built around RevDB (their unified revenue database) with humans as the primary operators. HockeyStack is built around Blueprint ML model with agents as the primary operators. Clari's integration moat is real — they have years of CRM workflow depth. HockeyStack's bet is that agent-led execution will pull execution velocity meaningfully. The honest read: incumbent vs new architectural paradigm; the math depends on which side of that gap matters more for your team.

Should I evaluate HockeyStack vs incumbent AI features?

Yes — both. Salesforce Agentforce, HubSpot Breeze, Gong's AI features, Clari's Copilot are all shipping inside the platforms you already pay for. They have the integration moat. HockeyStack has the agent-native architecture and the Blueprint model. For most enterprise teams, the honest evaluation is to pilot HockeyStack against the incumbent's AI feature on a defined slice (one revenue function, one quarter) and measure the output gap before committing.

How does StackSwap evaluate HockeyStack vs Bizible/Clari?

StackSwap doesn't sell agents — we model GTM stacks against 100,000 synthetic stacks and surface which line items overlap. For HockeyStack specifically: if your stack contains Bizible + Dreamdata + Clari attribution + custom Looker dashboards, our overlap engine flags those as the consolidation target. Run StackScan to see modeled annual recoverable spend from the cuts. $25 per actionable decision, $249 cap.

Vendor review · Revenue Agents · $50M Series A (Apr 2026)

HockeyStack Review: Revenue Agents Replacing the Enterprise Attribution Stack

HockeyStack raised $50M in April 2026 (Bessemer/YC/Uncorrelated, $50M+ total) to scale Revenue Agents — AI agents that automate prospecting, new business, and expansion using Blueprint, a proprietary ML model that reverse-engineers winning sales processes from historical deal data. 300+ customers in under two years. Logos include Mastercard, GitHub, Mimecast, RingCentral, Sumo Logic. The replacement claim is implicit but sharp: HockeyStack collapses the enterprise attribution + forecasting + revenue analytics stack (Bizible, Dreamdata, parts of Clari, custom warehouse-Looker setups) into one agent-native platform. Operator-grade read on what it does, what it replaces, and when to evaluate vs wait.

See my attribution-stack overlap →Read the 5-layer thesis

What HockeyStack actually does

Per their own positioning: "Revenue Agents for the Enterprise." The platform deploys agents across three jobs:

Prospecting: Agent identifies high-intent accounts, enriches them, and surfaces them to the SDR/AE team with recommended next actions.
New business: Agent monitors deal progression, flags stalling accounts, drafts the next-action recommendation, and maintains forecast accuracy via Blueprint.
Expansion: Agent watches existing customer accounts for upsell signals (usage patterns, engagement, role changes) and surfaces expansion opportunities to CSMs.

The differentiator vs incumbent forecasting tools (Clari, Gong) is the Blueprint ML model. Rather than rule-based forecasting ("if pipeline = X and stage = Y, then close probability = Z"), Blueprint analyzes every touchpoint and signal across won vs lost deals and adapts as new outcomes occur. The pitch: "preserves full sequence and causality of every interaction" instead of treating revenue activities as isolated events.

What it replaces in your stack

Five common attribution-and-forecasting line items and how HockeyStack relates to each:

Incumbent	Function	Overlap	Cut, keep, or hybrid
Bizible (Marketo Measure)	Multi-touch B2B marketing attribution	High	HockeyStack's Blueprint model reverse-engineers winning sales processes from historical deals — the same job Bizible does for marketing attribution, extended into the full revenue funnel.
Dreamdata	B2B revenue attribution + journey analytics	High	Direct overlap on B2B attribution. Dreamdata's strength is the warehouse-native architecture; HockeyStack's is the agent execution layer on top. Cut Dreamdata if you adopt HockeyStack.
Clari (forecasting + RevDB)	Pipeline forecasting + revenue intelligence	Medium-High	Clari's forecasting and HockeyStack's expansion agents target the same job. Clari's CRM-native moat is real; HockeyStack's agent-led execution is the competitive question.
Gong (forecasting features only)	Deal coaching + forecast	Medium (forecast slice only)	Gong is durable for call recording + coaching. HockeyStack overlaps only on the forecast layer. Most teams keep Gong; reconsider Gong Forecast specifically.
Warehouse + Looker custom revenue dashboards	Custom analytics + RevOps reporting	Medium-High	If you built custom Snowflake/BigQuery + Looker dashboards for revenue analytics, HockeyStack collapses that infrastructure into a managed product. The math depends on whether your custom build was actually getting used.

When to evaluate vs when to wait

Five team profiles and the fit verdict:

Team profile	Fit	Why
Fortune 1000 / $50M+ ARR with established attribution stack	Strong	HockeyStack is enterprise-priced and the customer base (Mastercard, GitHub, Mimecast, RingCentral) is Fortune-tier. The Blueprint ML model needs deal volume to learn from; this is the right scale.
Mid-market ($10-50M ARR) with Bizible + Clari + custom dashboards	Strong evaluation candidate	You're paying $100K-$300K/yr for the attribution + forecasting + analytics stack. HockeyStack collapses that into one platform with agents — strong consolidation play if the migration math works.
Sub-$10M ARR with no formal attribution	Wait	Enterprise pricing tier and you don't have the deal volume for the Blueprint model to extract meaningful patterns. Stay on warehouse + Looker (or just GA4) until you scale past $10M ARR.
PLG-only motion	Weak	HockeyStack is built for sales-led revenue motions (prospecting, new business, expansion). PLG attribution is a different job — product analytics tools (Amplitude, Mixpanel) cover it better.
Already on Salesforce + Gong + heavy custom Snowflake setup	Partial evaluation	HockeyStack integrates with Salesforce, Gong, Zoom, etc. The question is whether the Blueprint agents + integrated dashboard beats your custom build. Run a 1-quarter pilot before cutting infrastructure.

Pricing reality

No public pricing — quoted after a demo. The Fortune 100 customer profile (Mastercard, GitHub, Mimecast, RingCentral) and enterprise positioning signal six-figures-plus annual contracts. The Series A raise of $50M total funding suggests they're scaling into the enterprise revenue band aggressively.

The honest evaluation framework: don't evaluate HockeyStack's sticker price in isolation. Sum the line items it would replace — Bizible ($30K-$100K/yr), Dreamdata ($30K-$80K/yr), Clari forecasting + RevDB ($50K-$200K/yr), custom warehouse-Looker data engineering time ($50K-$200K/yr in FTE allocation) — and compare. For Fortune 1000 teams paying $200K-$500K/yr across that stack, the consolidation math can work. Below $50M ARR, it generally doesn't.

Customer proof — what we know

Heavy enterprise customer base, with 300+ customers in under two years. Named logos from the homepage include Mastercard, GitHub, Mimecast, RingCentral, Sumo Logic, DataRobot, Airbyte, Dice, Yext, ActiveCampaign, 8x8, Justworks, Rakuten, Forcepoint, StackAdapt, Tipalti, Outreach (yes, the sales engagement company is itself a customer), AppsFlyer, n8n, Cribl, Honeycomb, RudderStack, Anvilogic, Firstup.

That's a credible enterprise B2B SaaS roster. The pattern: high-growth scale-ups and public companies with established attribution + forecasting needs and dedicated RevOps teams. Not a customer base of small-business teams or sub-Series-B startups. Specific deployment outcomes (revenue impact, accuracy lift) aren't published.

The agent-shaped redundancy risk

Highest of any vendor in the agent wave after Inflection.io. The reason: attribution stacks already overlap heavily today. Most enterprise GTM teams are paying for some combination of Bizible, Dreamdata, Clari, Gong forecast, custom warehouse + Looker — three or four tools doing variations of the same attribution + forecasting job. Adding HockeyStack without explicit cancellation deadlines for the incumbents compounds the existing waste.

The most predictable failure mode: a Fortune 1000 team adopts HockeyStack but keeps Bizible "because Marketing owns it," keeps Clari "because RevOps built on it," keeps Gong forecast "because it's bundled with our Gong contract," and the custom Snowflake-Looker dashboards "during transition." 18 months later, total spend has compounded across all five.

The fix: pre-commit cancellation deadlines for at least two incumbent attribution tools as part of the HockeyStack contract negotiation. Build the migration plan during the HockeyStack pilot. Treat the incumbents as on-the-clock the moment HockeyStack is adopted.

Sources

FAQ

What is HockeyStack?: HockeyStack is an enterprise revenue platform pitching "Revenue Agents" — AI agents that automate prospecting, new business, and expansion based on Blueprint, a proprietary ML model that reverse-engineers winning sales processes from historical deal data. Founded 2023, $50M total raised (Bessemer Venture Partners, Y Combinator, Uncorrelated Ventures, announced April 15, 2026). 300+ customers in under two years, with Fortune 100 logos including Mastercard, GitHub, Mimecast, RingCentral, Sumo Logic.
What does HockeyStack actually replace in a GTM stack?: Primary targets: Bizible (Marketo Measure) and Dreamdata for B2B attribution. Secondary targets: Clari for forecasting and RevOps dashboarding, parts of Gong (forecast features only — call recording and coaching stay), and custom warehouse + Looker setups for revenue analytics. The platform doesn't replace your CRM (it integrates with Salesforce and HubSpot), call recording (Gong, Zoom stay), or your sequencer (Outreach, Salesloft, Apollo stay).
What is HockeyStack's Blueprint?: Blueprint is HockeyStack's proprietary machine learning model. It reverse-engineers winning sales processes by analyzing every touchpoint and signal across your sales stack — won deals vs lost deals, deal velocity, stakeholder engagement patterns, content interactions. Unlike rule-based forecasting models, Blueprint adapts as new outcomes occur. The pitch: "preserves full sequence and causality of every interaction" rather than treating revenue activities as isolated events.
How much does HockeyStack cost?: Pricing isn't published. The Fortune 100 customer profile, enterprise positioning, and $50M raise all signal six-figures-plus annual contracts. The honest evaluation: compare against your current Bizible + Dreamdata + Clari + custom analytics spend. For Fortune 1000 teams already paying $200K-$500K/yr on the attribution + forecasting + analytics stack, the consolidation math can work. Below $10M ARR, the unit economics likely don't justify it.
Who are HockeyStack customers?: 300+ customers in under two years per the Series A announcement. Named logos on the homepage include Mastercard, GitHub, Mimecast, RingCentral, Sumo Logic, DataRobot, Airbyte, Dice, Yext, ActiveCampaign, 8x8, Justworks, Rakuten, Forcepoint, StackAdapt, Tipalti, Outreach, AppsFlyer, n8n, Cribl, Honeycomb, RudderStack, Anvilogic, Firstup. Heavy enterprise B2B SaaS skew, with public companies and high-growth scale-ups dominating the list.
What's the agent-shaped redundancy risk with HockeyStack?: High. Attribution stacks have the most overlap of any GTM category — most enterprises pay for Bizible + Dreamdata + Clari + warehouse-native analytics simultaneously, doing variations of the same job. Adding HockeyStack without explicitly cutting Bizible/Dreamdata/Clari attribution layers compounds the spend instead of consolidating it. The fix: pre-commit cancellation deadlines for incumbent attribution tools as part of HockeyStack contract negotiation. Don't sign HockeyStack without a written cutover plan.
How is HockeyStack different from Clari's revenue platform?: Different architectural framing. Clari is a CRM-native revenue platform built around RevDB (their unified revenue database) with humans as the primary operators. HockeyStack is built around Blueprint ML model with agents as the primary operators. Clari's integration moat is real — they have years of CRM workflow depth. HockeyStack's bet is that agent-led execution will pull execution velocity meaningfully. The honest read: incumbent vs new architectural paradigm; the math depends on which side of that gap matters more for your team.
Should I evaluate HockeyStack vs incumbent AI features?: Yes — both. Salesforce Agentforce, HubSpot Breeze, Gong's AI features, Clari's Copilot are all shipping inside the platforms you already pay for. They have the integration moat. HockeyStack has the agent-native architecture and the Blueprint model. For most enterprise teams, the honest evaluation is to pilot HockeyStack against the incumbent's AI feature on a defined slice (one revenue function, one quarter) and measure the output gap before committing.
How does StackSwap evaluate HockeyStack vs Bizible/Clari?: StackSwap doesn't sell agents — we model GTM stacks against 100,000 synthetic stacks and surface which line items overlap. For HockeyStack specifically: if your stack contains Bizible + Dreamdata + Clari attribution + custom Looker dashboards, our overlap engine flags those as the consolidation target. Run StackScan to see modeled annual recoverable spend from the cuts. $25 per actionable decision, $249 cap.