Dreamdata vs HockeyStack vs CaliberMind: B2B Revenue Attribution Compared

Dreamdata, HockeyStack and CaliberMind are the three names that keep coming up when B2B teams outgrow the attribution reports inside HubSpot or Salesforce. All three join ad, web, CRM and marketing automation data into account journeys and credit touchpoints with pipeline and revenue. Where they differ is price transparency, who owns them, how they store your data and how much setup work they expect from you.

We read each vendor’s pricing, product, integration and documentation pages on November 3, 2026, checked current G2 ratings and reviews, and pulled contract benchmarks from Vendr. Here is how they compare, and which one fits which kind of team. For the wider market, see our guide to B2B attribution tools.

Dreamdata vs HockeyStack vs CaliberMind at a glance

Comparison card of Dreamdata, HockeyStack and CaliberMind covering owner, published price, Vendr median, attribution models, data foundation, setup claim, best fit and G2 rating
Sources: Dreamdata, HockeyStack and CaliberMind product and pricing pages, Integrate, G2 and Vendr, read November 3, 2026. Chart by About Martech.
DreamdataHockeyStackCaliberMind
OwnerIndependentIndependentIntegrate (since August 2026)
Published pricingFree plan; Attribution and Activation plan is customNone on its pricing page; G2 lists “Platform starting at $2,200 per month”Custom, volume based, no per-user fees
Pricing unitMonthly tracked users (MTUs)Not statedData volume and credits
Built-in modelsFirst, last, linear, W-shaped, U-shaped, data-driven9 models, compared side by sideRule-based and Markov chain; MMM
Beyond attributionAudiences, conversion syncs to ad platforms, AI agent, MCP serverOdin AI analyst, lift reports, ABM add-on, AI agentsAsk Cal AI assistant, MMM, BI-ready warehouse
Data hostingGoogle Cloud, EU data centersAWS, FrankfurtGoogle BigQuery
G2 rating4.7 (279)4.4 (84)4.5 (195)

Sources: Dreamdata pricing, Dreamdata security, G2 Dreamdata, HockeyStack, G2 HockeyStack, CaliberMind pricing, CaliberMind platform, read November 3, 2026.


The ownership change you should know about

On August 26, 2026, Integrate announced it had acquired CaliberMind. Integrate says CaliberMind “will continue operating as a dedicated product line, with its existing team and platform”, that existing contracts, integrations and roadmaps remain in place, and that “expanded interoperability” is planned throughout 2027 (Integrate). CaliberMind’s own site now calls it “an Integrate company”, and its G2 listing shows the seller as Integrate (G2).

That is not a reason to rule it out, but it changes the questions you ask. If you buy CaliberMind now, ask for the product roadmap in writing, ask whether pricing or packaging will change at renewal, and ask how Integrate’s demand generation data will flow into attribution. We found no ownership change announced for Dreamdata or HockeyStack.


Dreamdata: free to start, account-based by design

Dreamdata homepage first fold, captured November 3, 2026
Source: Dreamdata homepage, captured November 3, 2026.

Dreamdata calls itself an “agentic B2B attribution platform”. Its pricing page lists a Free plan at $0 with 2 months of user history, 5 seats, 3 stage models, 2 notifications and 1 sync. Free includes B2B web analytics, cookie and cookieless tracking, engagement scoring, company identification, an audience builder, Slack and Teams notifications and an ad spend report (Dreamdata pricing).

Attribution itself sits on the paid “Attribution & Activation” plan, which is custom priced with a guided free trial. It adds AI and custom attribution models, the Analytics Agent, an MCP server, full onboarding, a dedicated customer success manager and SSO. Activation and a Data Warehouse add-on cost extra, and pricing is based on monthly tracked users (Dreamdata pricing). Dreamdata also claims its IP-to-company engine identifies “up to 80% of companies” visiting your site; that is a vendor claim we did not test.

Its documentation lists six models: first-touch, last-touch, linear, W-shaped (30% first, 30% last, 30% to the conversion touch, 10% to the middle), U-shaped (40% first, 40% last, 20% middle) and a data-driven model (Dreamdata docs). The data-driven model is “based on a Markov model” and can be combined with custom rules and exclusions (Dreamdata docs).

Best forTeams that want to test on their own data before a sales cycle, and EU-based buyers
Watch out forAttribution needs the paid plan; MTU pricing means a traffic spike can change your quote
HostingGoogle Cloud, EU data centers; SOC 2 Type II

HockeyStack: AI analyst and lift reports, heavier setup

HockeyStack homepage first fold, captured November 3, 2026
Source: HockeyStack homepage, captured November 3, 2026.

HockeyStack’s homepage leads with “Modern attribution that captures the complete buyer journey.” It lets you “apply any model and compare them side by side”, and adds lift reports that “compare exposed and unexposed accounts” to show incremental impact, which it pitches for low-volume programs like events and content (HockeyStack). Its G2 listing describes 9 attribution models, the Odin AI analyst, no-code custom reports and account intelligence for ABM (G2).

Under the hood is Atlas, which HockeyStack describes as its data foundation for ingesting, unifying and acting on CRM, marketing automation, ad, website and warehouse data. Its FAQ says “most customers get their initial attribution insights within 24 hours”, that tracking is cookieless by default, and that data is stored “on AWS servers in Frankfurt, Germany” (HockeyStack).

The pricing page has no prices, only a demo form, and says every plan includes integrations, hands-on support, custom setups and real-time ROI tracking (HockeyStack pricing). On G2, the vendor-provided price is “Platform: Starting at $2,200.00 per month”, with an ABM add-on (G2).

Read the recent reviews before you sign. Several G2 reviews from 2026, including October 22, 2026 and May 12, 2026, describe difficult implementations, data that would not connect and cancelled contracts, while others praise model switching, the MCP integration and incrementality reports (G2). The 24-hour claim and those reviews can both be true: insights may appear fast while mapping touchpoints correctly takes far longer. Ask for a reference customer with a CRM setup like yours.

Best forTeams that want AI-assisted analysis, lift testing and sales plus marketing reporting in one tool
Watch out forImplementation complaints on G2; no price on its site
HostingAWS, Frankfurt, Germany

CaliberMind: warehouse-grade control for enterprise data

CaliberMind homepage first fold, captured November 3, 2026
Source: CaliberMind homepage, captured November 3, 2026.

CaliberMind positions itself as “multi-touch attribution and marketing mix modeling for enterprises” (CaliberMind). It launched B2B marketing mix modeling on April 23, 2026 (CaliberMind), which makes it the only one of the three that markets MMM alongside multi-touch attribution.

Its platform page describes “full ELT architecture built on Google BigQuery”, where raw data is loaded first and transformed downstream, and says customers “retain direct access to raw and transformed datasets”. It lists 170+ enterprise integrations including custom objects and formula fields, advanced Salesforce pull and push controls, Markov chain attribution and activation into CRM, Slack and email (CaliberMind platform). Its docs say connections run through Fivetran’s 100+ connector library, with push connectors to Salesforce and Slack; non-standard connectors may need a small statement of work (CaliberMind docs).

Pricing is custom and volume based with no per-user fees, and the base platform bundles attribution, account engagement and funnel tracking, the Ask Cal AI assistant, an enterprise data warehouse and full ETL, with data and AI credit plans on top (CaliberMind pricing). CaliberMind’s FAQ says setup takes “two weeks or less” in most cases (CaliberMind), but G2 reviewers report an average time to implement of 3 months (G2).

Best forEnterprise Salesforce shops with custom objects, a data team and a need for MMM
Watch out forSteeper learning curve in reviews; roadmap under a new owner
HostingGoogle BigQuery-based warehouse

Pricing compared

None of the three publishes a paid price on its own site. These are the numbers you can actually find, with where each comes from. For prices across the wider category, see our marketing attribution software pricing guide.

DreamdataHockeyStackCaliberMind
Vendor pricing pageFree $0; paid plan customDemo form onlyCustom, volume based
Vendor price on G2FreeFrom $2,200 a monthNot listed
Vendr median per year$35,440$29,702 (33 purchases)$49,750
Vendr range$27,000 to $96,000$24,040 to $77,500$6,000 to $53,340
Extra costs Vendr flagsImplementation from a few thousand dollars to $10,000+$5,000 to $15,000+ for complex setupsNot stated

Sources: Dreamdata, HockeyStack, CaliberMind, G2 Dreamdata, G2 HockeyStack, Vendr Dreamdata, Vendr HockeyStack and Vendr CaliberMind, read November 3, 2026. Vendr figures are medians of contracts in its own dataset, not list prices.

Dreamdata used to publish prices. LeadJourney’s comparison records a Team plan at $599 a month and Business at $1,499 a month in 2024, and Activation from $750 a month in 2025 (LeadJourney). Those plans are no longer on Dreamdata’s pricing page, so treat older articles quoting fixed Dreamdata prices as out of date. G2 reviewers say CaliberMind gives an average discount of 9% (G2).


Attribution models and measurement

CapabilityDreamdataHockeyStackCaliberMind
First and last touchYesYesYes
LinearYesYesYes
Position basedW-shaped and U-shapedNot itemized publicly (9 models in total)Weighted models, per G2 reviewers
Data-drivenMarkov modelNot itemized publiclyMarkov chain
Custom modelsAI and custom models on paid planCustom no-code reportsCustom models, per G2 reviewers
Incrementality or MMMNot listedLift and incrementality reportsMMM since April 2026

Sources: Dreamdata docs, HockeyStack, G2 HockeyStack, G2 CaliberMind, CaliberMind platform, CaliberMind MMM launch. HockeyStack does not list its 9 models by name publicly; G2 reviewers mention first touch, linear and last touch. If you are new to how these models differ, our explainer on how to choose attribution software covers the trade-offs.


Integrations compared

CategoryDreamdataHockeyStackCaliberMind
CRMHubSpot, Salesforce, Microsoft DynamicsSalesforce, HubSpot, DynamicsSalesforce (pull and push)
Marketing automationHubSpot, Marketo, Pardot, Eloqua, Salesforce Marketing CloudMarketo, Pardot, HubSpotVia Fivetran library
Ad platformsLinkedIn, Google, Meta, Microsoft, X, NextRoll, Reddit and moreGoogle, Facebook, LinkedIn, Bing, X, TikTok, Reddit, AdRoll, StackAdaptVia Fivetran library
Intent and ABM6sense, Demandbase, ZoomInfo, Dealfront, Albacross, Clearbit, RollWorks6sense, Bombora, Demandbase, G2, RollWorks, ZoomInfo, Cognism and moreVia Fivetran library
WarehouseGoogle BigQuery; Data Warehouse add-onBigQuery, Snowflake, Databricks, S3, Azure Blob, ClickHouseBuilt on BigQuery; raw data access
Count claimedNot statedNot stated170+ integrations; 100+ via Fivetran

Sources: Dreamdata integrations, HockeyStack integrations, CaliberMind platform and CaliberMind docs, read November 3, 2026. CaliberMind lists its standard connectors inside the product rather than on a public page, so confirm your exact systems in the demo.


How each one handles your data

  • Dreamdata builds an account-based data model and runs on Google Cloud Platform. It stores data in EU data centers and says it moves it elsewhere only at your request. It is SOC 2 Type II certified (Dreamdata security).
  • HockeyStack ingests raw data into Atlas, matches identities across sources and applies your funnel definitions. It stores data on AWS in Frankfurt and supports two-way syncs with CRM, ad platforms and warehouses (HockeyStack).
  • CaliberMind loads raw data into BigQuery first and transforms it downstream, keeps lineage from source to activation, and gives you direct access to both raw and transformed tables, so you can feed your own BI tool (CaliberMind platform).

If your team already runs a warehouse, our guide to marketing attribution software covers warehouse-native options too.


Ratings and what reviewers say

DreamdataHockeyStackCaliberMind
G2 rating4.7 out of 54.4 out of 54.5 out of 5
G2 reviews27984195
Common praiseCustomer journey view, ease of use, onboardingModel switching, MCP, incrementality reportsFlexible models, account journeys, customer success
Common complaintInterface can be tricky; no point-in-time data snapshotHard implementations, data connection issuesSteep learning curve, UX can be confusing

Sources: G2 Dreamdata, G2 HockeyStack, G2 CaliberMind, read November 3, 2026. Review themes are our summary of the reviews shown on each page.


Which one should you pick?

  • Pick Dreamdata if you want to see your own account journeys before you talk to sales, you sell to or operate in Europe and want EU hosting, or you want to push revenue conversions back into LinkedIn, Google, Meta and Microsoft Ads.
  • Pick HockeyStack if you want an AI analyst, side-by-side model comparison and lift reports, and you can assign an owner to setup. Get a reference customer and a written implementation plan first.
  • Pick CaliberMind if your Salesforce has custom objects and years of messy data, you have a data team that wants raw tables in BigQuery, or you want MTA and MMM from one vendor.
  • Pick none of them yet if you have under a few hundred opportunities a year. Start with your CRM’s built-in reports and the options in our Ruler Analytics alternatives or Bizible alternatives guides.

Questions to ask in every demo

  • Show me attribution on a sample of our own data, not a demo account.
  • Which of our systems are standard connectors, and which need extra work or a statement of work?
  • What drives the price: tracked users, accounts, data volume or credits? What happens if we go over?
  • Who does the touchpoint mapping, and how long did it take for a customer with our CRM setup?
  • Where is our data stored, and can we export raw and modeled data if we leave?
  • For CaliberMind: what changes at renewal now that Integrate owns the product?

How we compared these tools

We read Dreamdata’s homepage, pricing, integrations, security and attribution documentation; HockeyStack’s homepage, pricing and integrations pages; and CaliberMind’s homepage, pricing, platform, FAQ, documentation and MMM launch post on November 3, 2026, and captured each homepage the same day. Ownership details come from Integrate’s announcement. Ratings and vendor-provided prices come from G2, and contract benchmarks from Vendr, both read the same day. We did not run the tools on a live account, so setup times and identification rates are reported as vendor claims.


Frequently asked questions

What is the difference between Dreamdata and HockeyStack?

Dreamdata has a free plan, six documented attribution models and stores data in the EU on Google Cloud. HockeyStack has no free plan, lists 9 models plus lift reports and an AI analyst called Odin, stores data on AWS in Frankfurt, and its vendor-provided G2 price starts at $2,200 a month.

How much does Dreamdata cost?

Dreamdata has a free plan at $0 a month. Its Attribution and Activation plan is custom priced by monthly tracked users. Vendr reports a median contract of $35,440 a year, with a range of $27,000 to $96,000.

How much does HockeyStack cost?

HockeyStack does not publish prices on its site. On G2 it lists its platform as starting at $2,200 a month, with an ABM add-on. Vendr reports a median of $29,702 a year based on 33 purchases.

How much does CaliberMind cost?

CaliberMind pricing is custom and volume based with no per-user fees. Vendr reports a median contract of $49,750 a year.

Who owns CaliberMind?

Integrate acquired CaliberMind on August 26, 2026. Integrate says CaliberMind will keep operating as a dedicated product line with its existing team, and existing contracts stay in place.

Which is better for enterprise: CaliberMind or Dreamdata?

CaliberMind is built for enterprise Salesforce data, with BigQuery-based ELT, 170+ integrations, raw data access and marketing mix modeling. Dreamdata is easier to start with and rated higher on G2, 4.7 against 4.5. Choose on data complexity and whether you need MMM.

Does HockeyStack support marketing mix modeling?

HockeyStack offers lift and incrementality reports that compare exposed and unexposed accounts. Of these three, CaliberMind is the one that markets a dedicated marketing mix modeling product, launched in April 2026.

How long does implementation take?

HockeyStack says most customers see initial insights within 24 hours, and CaliberMind says setup takes two weeks or less in most cases. G2 reviewers report an average of 3 months to implement CaliberMind, and several HockeyStack reviewers describe implementations lasting months.

Related reading

Amelia Foster
Amelia Foster

Amelia Foster covers marketing measurement at About Martech, from marketing mix modeling and B2B attribution to proving ROI without third-party cookies. She also writes about the messaging stack, including SMS, RCS, and push notifications. Her focus is which measurement method to trust for a given data set and sales cycle length.

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