Is HockeyStack built for the enterprise

Short answer: yes.

Most enterprise GTM teams have a blind spot because the data problem is hard: identity resolution is messy, definitions change by region and product, and systems multiply. Because enterprises have longer buying cycles on average, the number of touchpoints is exponentially higher, wrangling all of that data is much harder, leading to poor sales and marketing alignment.

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Why this matters now

Enterprise buying has changed fast. Committees are bigger, deals are risk managed, and most of the journey is self guided across ad clicks, website visits, partner touches, events, sales calls, and in‑product exploration. 

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HockeyStack is built for this reality. It unifies first party web, product, ads, email, meetings, intent, and CRM into an enterprise grade identity graph and a governed data model. You can ingest custom data fields at scale. You get trusted account level journeys, multi touch attribution that focuses on incrementality, acceleration analysis by stage, and lift testing to prove cause and effect. 

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HockeyStack’s AI agents let GTM and operations leaders  ask questions in plain language and get explainable , forward looking insights fast. Role based governance, regional controls, and shared definitions keep every team aligned on one set of numbers; so you can prove impact, shorten cycles, and scale what works.

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Why Enterprise Teams Switch to HockeyStack

Atlas: Proprietary  data foundation

Ingest every custom object and field across web, product, CRM, MAP, ads, intent, and your warehouse to power forward looking insights. Govern with lineage, versioned definitions, and role based access so every team trusts the same numbers and gets answers in seconds.

ClickHouse speed and stability

Sub-second queries, streaming freshness, flexibility, and predictable pricing all enable real time and forward-looking analysis at enterprise scale while supporting your custom objects, fields, and schemas without brittle rebuilds.

Attribution that reflects real buying

Use first party behavior, multi touch models, add incrementality, and get recommendations on what to scale next.

Journeys you can trust

Track first touch to revenue at person and account levels with buying committee rollups plus forward looking signals on likely next steps and stage acceleration.

Answers in seconds

Role based dashboards and Odin for plain language analysis deliver guidance, alerts, and next best actions so fragmented reporting, slow answers, and siloed teams give way to shared truths.

Funnels and cohorts with context

See time to stage, drop off, and velocity with versioned definitions and forward looking projections on acceleration and risk so you can reallocate toward higher ROI.

Adoption built in

Shared definitions, role based workspaces, and templates drive change management with forward looking KPIs everyone rallies around and reduce dependency on in house BI.

Integrations that do not block progress

Fast, reliable connections with bidirectional sync and freshness SLAs keep models accurate and insights current across CRM, MAP, ads, intent, warehouse, CDP, and product signals.

Compliance and security ready for enterprise

Role based permissions, audit trails, PI and PII controls, regional data residency, SSO and SCIM, and VPC or private link options help security teams say yes.

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Why Atlas matters for enterprise

Atlas is HockeyStack’s enterprise data foundation that ingests all your systems’ raw data, resolves identities, applies your own governed definitions, and powers explainable AI and activation on top. 

1. Connect sources
   Bring in CRM, MAP, ads, web, product, intent, CDP, warehouse, and offline data including every custom object and field plus historical loads from Snowflake, BigQuery, S3, and Sheets. Set schema mappings and freshness SLAs. Capture anonymous pre conversion activity via fingerprinting and reverse IP for full funnel visibility.
   
   
2. Resolve identities and clean data
   Designed for messy, high volume data. Normalize into Person, Company, Action, and Metadata. Stitch  across devices. Map to leads, contacts, accounts, and opportunities including contactless using consent aware hashing, tokenization, and PII masking. Align all touchpoints on a single governed timeline.
   
   
3. Model journeys and govern definitions
   Use your definitions, not ours. Define funnels, touchpoint types, and segments. Backfill history, roll up to buying committees, and version logic with lineage so changes update every dashboard in real time. Unify cross domain and multi product activity under one account identity.
   
   
4. Surface recommendations and activate
   Odin answers plain language questions with incremental impact and time to stage insights. Nova briefs reps with risks and next best actions and writes back to CRM and MAP. Schedule alerts and automate workflows. AI runs on Atlas modeled data for explainable, fresh, and trusted outputs.

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What good looks like after rollout

Here is how our customers describe the transformation they experience with HockeyStack, moving from data chaos to revenue clarity.

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You operate from shared truths with faster alignment.

Confidence scores, governed definitions, and identity stitching create one trusted view from first touch to revenue. The same facts are written back to CRM and MAP so sales and marketing stay in lockstep.

• DataRobot: “Before HockeyStack, our team was uncomfortable with data. Now every marketer presents their own metrics, tells the story behind them, and makes confident decisions. When they walk into a meeting with the CEO, they can explain their choices with evidence instead of opinions.”
  
  
  
  • — Doug Cone, Director, Growth Marketing and Operations @ DataRobot
• 8x8: “We’re the glue between sales, product, and growth [as a company]... you need to make sure that you’re transforming your team and you’re transforming marketing as fast, if not faster, than the world outside.”
  
  
  
  • — Bruno Bertini, CMO @ 8x8
• ActiveCampaign: “Now we’re able to be really intentional about building those customer journeys.”
  
  
  
  • — Chris Wood, Director of Demand Generation @ ActiveCampaign

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Attribution is clear and acceleration is measurable.

You see which programs create incremental opportunities and which shorten time to stage, supported by lift testing and stage-by-stage analysis.

• 8x8: “We’re doing very, very innovative things with HockeyStack… understanding the campaigns and touchpoints that accelerate deals at each stage.”
  
  
  
  • — Bruno Bertini, CMO @ 8x8
• ActiveCampaign: “I knew LinkedIn was working but I couldn’t prove it [before HockeyStack].”
  
  
  
  • — Chris Wood, Director of Demand Generation @ ActiveCampaign
• 8x8: “With our old platform…it was very hard for me to go full-funnel. And I’m in the business of going all the way down to bookings, all the way down to looking at renewals, which is really what grows the business.”
  
  
  
  • — Bruno Bertini, CMO @ 8x8

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Answers arrive in minutes, not weeks.

Analysts and operators self-serve new questions without spinning up a new BI model, thanks to ClickHouse speed and a resilient data foundation.

• 8x8: “How could we have a platform that runs at the speed that we’re running, and that allows us to tweak things on the fly?”
  
  
  
  • — Bruno Bertini, CMO @ 8x8
• ActiveCampaign: Before HockeyStack, "marketers were 3 steps removed from actioning any insights - the process was request → ops team → BI team (then see the report)."
  
  
  
  • — From the ActiveCampaign Case Study
• DataRobot: “And when working with Dreamdata, we were always lagging behind on data just because of the size of our dataset.”
  
  
  
  • — Doug Cone, Director, Growth Marketing and Operations @ DataRobot

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Adoption sticks.

Role-based dashboards, templates, and plain-language analysis drive usage across teams and reduce dependency on ad-hoc reports.

• DataRobot: “...that mindset shift is the real return.”
  
  
  
  • — Doug Cone, Director, Growth Marketing and Operations @ DataRobot
• ActiveCampaign: Multiple teams now rely on HockeyStack with different cadences:
  
  
  
  • Daily: Paid and digital acquisition teams to understand ad performance from impression to revenue.
  • Weekly: Sales teams to identify accounts ready for outreach.
  • Weekly: Content marketing to measure the impact of content on the buyer journey.
  • Monthly: Affiliate and partner teams to understand how channels drive revenue.

— From the ActiveCampaign Case Study

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Integrations stay fresh and data is reliable.

Fast, reliable connections to CRM, MAP, ads, intent, warehouse, CDP, and product signals are backed by bidirectional sync and freshness SLAs.

• 8x8: The team moved away from systems that were "homegrown, complex, outdated, [and] hard to maintain" to a single, modern platform.
  
  
  
  • — From the 8x8 Case Study
• DataRobot: A key requirement was an "Enterprise-Grade Data Handling" platform capable of ingesting and processing large data volumes without lag or delays, unlike competitors that struggled.
  
  
  
  • — From the DataRobot Case Study
• ActiveCampaign: A core need was a platform that could "Integrate with multiple systems spanning CRM and paid providers like HubSpot, Salesforce, LinkedIn Ads and Google Adwords" to provide a unified view.
  
  
  
  • — From the ActiveCampaign Case Study

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Organizational impact

Your operating rhythm becomes decisively more data driven as teams move from opinion to evidence with shared definitions, documented lineage, and explainable AI embedded in everyday workflows, accelerating AI adoption as Odin and Nova become the front door for questions with forward looking insights, next best actions, and clear narratives leaders can trust. 

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Speed to insight compresses decision cycles, unblocks cross functional coordination, reduces dependency on scarce BI resources, and makes change management easier through governance, role based access, and consistent templates, creating a culture that learns faster, experiments more confidently, and scales what works with less friction.

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Measurable business impact and ROI

Turn clarity into compounding returns. With a trusted view of what truly drives momentum, you can reallocate in real time, scale what works, and cut what doesn’t. Budgets shift from noise to programs that create incremental pipeline, lifting ROAS while lowering CAC. 

Stage acceleration and higher win rates increase closed won without adding headcount. Forward looking insights highlight where the next dollar yields the most impact, so plans adjust in the moment instead of at quarter end.

Visibility improves across finance, marketing, and sales with shared definitions and confidence scores, reducing wasted spend and rework. The result is more revenue per dollar invested, predictable performance, and faster payback on go to market.

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How HockeyStack compares

Adobe Marketo Measure (Bizible)

• What it is: A CRM-centric attribution tool.
• Where it falls short for enterprise: 
  
  • Misses anonymous and pre conversion behavior, asset level performance, product telemetry, and cross system identity without extra stitching or custom builds
• How HockeyStack is different: 
  
  • Atlas is our data foundation that ingests raw, structured, and unstructured data, including Salesforce custom objects and fields
  • It normalizes, deduplicates, and reconciles identities automatically
  • Built on ClickHouse for sub second queries at massive scale with always fresh streaming data and predictable cost
  • Delivers complete journeys, multi touch attribution plus lift testing, and forward looking insights via Odin
  • Stack agnostic and fast to roll out with governance and change management built in

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Dreamdata

• What it is: A warehouse-first attribution layer built on BigQuery with CRM-leaning models.
• Where it falls short for enterprise: 
  
  • Batch based and not real time, with query costs and latency that grow unpredictably
  • Limited visibility into anonymous account level web engagement and pre conversion content and ad consumption
  • Hard to model unconverted stakeholders and long multi stakeholder journeys
  • Asset level measurement is shallow, rigid schemas limit customizability, and there is no native lift testing to prove incrementality
• How HockeyStack is different: 
  
  • Atlas ingests every custom object and field in Salesforce and beyond, cleans messy data, and ties all touchpoints to revenue in real time
  • ClickHouse delivers sub second latency on billions of rows with streaming freshness and stable pricing
  • Full visibility across web, product, sales engagement, partners, customer success, and asset level performance with no stitching tools required
  • True multi touch attribution plus causal insights including lift and expansion attribution
  • Odin provides explainable forward looking guidance, while role based workspaces, shared definitions, and CRM and MAP write back drive adoption across siloed teams

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Built for the Enterprise: Architecture, Scale, and Security

Atlas is the data foundation that ingests raw, structured, and unstructured data from CRM, MAP, ads, web, product telemetry, CS, partners, offline events, and warehouses including all Salesforce custom objects and fields then normalizes, deduplicates, and reconciles identities at the person and account level. 

Built on ClickHouse, HockeyStack delivers sub-second queries on billions of rows, streaming freshness, and predictable costs via columnar, compressed storage. Touchpoints are governed by your enterprise structure, mapped to pipeline and revenue in real time, and exposed through a modeled, versioned layer that updates instantly when definitions change. 

AI runs in a secure, isolated environment: customer data is never used to train global models, access is role-based with audit trails, and every Odin insight is explainable and traceable back to source data. Integrations are bi-directional with freshness, and insights are written back to CRM and MAP to power workflows in sales and marketing.

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Why this matters now

Buying groups are larger, journeys are more self guided, partner and product influence is heavier, and CRM data is messy by design. The status quo CRM-only views or batch analytics misses anonymous and pre-conversion influence, struggles with identity, and slows decisions. 

HockeyStack meets this moment with Atlas plus ClickHouse to deliver complete, real-time visibility, enterprise-grade governance and flexibility, and AI that moves teams from analysis to action with forward looking insights.

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The time is now for enterprises to act

Enterprise teams across software, infrastructure, and fintech run their GTM on HockeyStack. Customers adopt AI fast, 98% use Odin and Nova, with over 60% engaging monthly because the numbers are trusted and the answers arrive in seconds. 

Security and RevOps leaders choose us for governed definitions, identity stitching, and write-back to CRM and MAP that keep every team aligned. Reference calls highlight faster time to insight, clearer attribution, and smoother cross-functional decision making.

Enterprise GTM is too complex for stitched-together tools and too fast for batch analytics. HockeyStack gives you the data foundation, real-time engine, and explainable AI to see the whole journey, prove what’s working, and act on it immediately. If you’re ready to replace blind spots with clarity and move towards a path that scales, contact us today!