Dreamdata vs HockeyStack (2026): Which B2B Tool Fits

Both tools start from the same premise: in B2B, the unit that buys is a company, not a person, and the journey that matters is the account's. Where they differ is how wide the dataset is meant to be.

Dreamdata calls itself an agentic B2B attribution platform. It is built around its own tracking script and its account-based data model: every stakeholder's touches on one company timeline, the companies behind anonymous visits identified, and audiences built from that model. It reaches down market further than HockeyStack does, with a free plan for B2B web analytics, and up to the enterprise with full onboarding, a dedicated CSM and a technical manager.

HockeyStack sells GTM intelligence. Its data foundation (called Atlas) pulls marketing, sales, product and intent sources into one dataset and resolves identities across them, and three product lines sit on top: Marketing Intelligence for attribution and lift, Account Intelligence for scoring, stakeholder maps and account plans, and GTM workflows that push the result into ad platforms and outreach tools. The customer wall (Rakuten, Mastercard, GitHub, RingCentral, Yext) tells you who it is priced for.

Account-level attribution starts with knowing which company a visit belongs to. The two tools solve that differently.

Dreamdata: company identification

Dreamdata runs its own analytics script, tracking with and without cookies, and puts company identification on every plan, the free one included. Its pricing page claims a proprietary IP-to-company engine that identifies up to 80% of companies. Identified companies get an engagement score, feed the audience builder and trigger notifications to sales in Slack or Teams.

HockeyStack: identity resolution across every source

HockeyStack's browser snippet identifies visitors by fingerprinting rather than cookies, with an Enhanced Fingerprinting add-on for VPN and cross-device cases, and its documentation has a page on why that is GDPR compliant. The bigger difference is what happens next: Atlas resolves identities across the CRM, the ad platforms, marketing automation and the intent vendors (6sense, Bombora, Demandbase, G2, Rollworks, Albacross, Vector), so an account is assembled from far more than site visits.

Both tools attribute pipeline and revenue to the account journey rather than to a single lead, and both let you change the model without re-tracking.

• Dreamdata puts AI and custom attribution models, revenue and content analytics and custom ROI and ROAS reporting on its paid Attribution and Activation plan. The free plan is analytics: up to three stage models and two months of user history, but not the attribution models themselves.
• HockeyStack offers every attribution model plus lookbacks and custom weighting, and adds lift reports, which estimate the incremental impact of a campaign on pipeline and revenue. Lift is the answer to the question every attribution model leaves open: would this deal have closed anyway?

For a B2B team whose board asks whether LinkedIn spend creates pipeline or only collects credit for it, lift reports are the feature that separates the two. Dreamdata's AI models are a strong default; they do not claim to measure incrementality.

A B2B ad account optimises on whatever conversion you give it. Give it form fills and it finds more form fillers; give it the opportunity stage and it can learn which clicks become pipeline. Both tools can send the later stage back, with different reach.

HockeyStack's LinkedIn sync sends pipeline events from the past 90 days and can take up to 24 hours to push, by its own documentation. Dreamdata covers four platforms natively, but only with Activation, which is an add-on to the paid plan.

Both vendors have moved from dashboards to agents in the last year, and both now offer an MCP server, so you can ask your own Claude or ChatGPT about the data.

• Dreamdata AI is on the paid plan: an Analytics Agent for plain-language questions, AI report summaries, and an MCP server that brings Dreamdata into the LLM you already use. Engagement scoring and notifications to sales are on every plan.
• HockeyStack has Odin, an AI analyst that works in the app and as a Slackbot, with scheduled prompts. Account Intelligence adds custom scoring that combines first-party CRM data with third-party behaviour and intent, stakeholder maps and recommended account plans. Its MCP server reads dashboards, reports and people and can create or update reports. Agent work is metered in credits, per the documentation.

Pipedrive users have one option here: only Dreamdata lists it. Teams that already pay for 6sense or Demandbase get more out of HockeyStack, which reads them in.

Where the data lives

Dreamdata states that it stores data in data centres within the European Union on Google Cloud, holds a SOC 2 Type II report and offers a DPA. HockeyStack is a Delaware company with a DPA on the EU Standard Contractual Clauses; its certifications and hosting region sit in a trust centre you request access to. An archived 2024 copy of its pricing page named AWS in Frankfurt, which the current site does not repeat.

• Dreamdata can be tried before any call: the free plan is self-serve, needs no credit card, and the paid plan comes with a guided free trial. Paying customers get full onboarding, a dedicated CSM, a technical manager, solutions consulting and data science support, plus SSO and SAML.
• HockeyStack starts with a demo. Every plan includes hands-on support from the success team and custom setups. Its documentation describes self-serve product onboarding with an internal launch by week two or three, and new dashboard builds or extra implementation work subject to an implementation fee.

Neither vendor publishes a paid price. Dreamdata prints a free plan and "custom pricing" metered by monthly tracked users; HockeyStack prints nothing but a demo form. What buyers report paying comes from Vendr's contract data, last updated February 2026.

A worked example at three sizes

The two vendors meter different things, so the table reads Vendr's bands for each size, and adds LeadJourney, which prices by monthly ad spend, at an ad budget we assumed for each size. The budgets are an assumption, not a benchmark: put in your own.

Read it as orders of magnitude, not quotes. Dreamdata's free plan costs nothing until you need attribution, and both vendors' quotes are reported to drop 10 to 30% on multi-year terms. Where implementation is charged, the same data puts it at a few thousand to $10,000 or more on Dreamdata and $5,000 to $15,000 or more on HockeyStack.

Dreamdata

HockeyStack

Both tools are built for the account. That is the right unit for a buying committee of six, and the wrong one for a business whose revenue arrives as a named lead: a demo request, a booked call, a phone call, a deal in the CRM. For that team the question is not which company visited, but which campaign produced this person and what they closed for. And a quote of $25,000 a year is a lot to spend before you know.

LeadJourney is an all-in-one attribution platform, built lead generation first for B2B and B2C, with e-commerce through Shopify beside it:

• Server-side, first-party tracking on your own domain, 95%+ of conversions captured, live in 21 minutes.
• Every named lead's journey from first click to closed deal, with the CRM stage on it, synced natively with HubSpot, Salesforce, Pipedrive, Close, Attio, GoHighLevel, ActiveCampaign, Odoo, Zoho CRM and Microsoft Dynamics 365.
• Closed deals back to the ad platforms on every plan: Meta, Google, LinkedIn, Microsoft, Reddit, X, Taboola and Outbrain Ads, plus Audience Sync to Meta, Google, LinkedIn and Microsoft.
• ChatGPT, Gemini, Claude, Copilot, Perplexity, Grok and DeepSeek as sources of their own.
• Public prices by monthly ad spend: $139 up to $5,000, $269 up to $15,000, $539 up to $50,000, $869 up to $100,000 and from $1,079 above, 20% off yearly. The MCP connection and the API are included from Growth, the BigQuery export from Scale.
• Hosted in Frankfurt. Every plan starts with a one hour onboarding call with a tracking expert, 14 days of setup support and a 30-day money-back guarantee.

Where LeadJourney is not the right pick

LeadJourney does not identify anonymous companies, has no intent data, no stakeholder maps and no lift reports, and does not hold SOC 2 or ISO 27001 or offer SAML SSO. If your programme runs on account-based targeting of companies that have not raised their hand, Dreamdata or HockeyStack is the tool. The row by row detail is in LeadJourney vs Dreamdata and LeadJourney vs HockeyStack.

• LeadJourney vs Dreamdata: the account model against the named lead, row by row.
• LeadJourney vs HockeyStack: enterprise GTM intelligence against lead attribution with public prices.
• Dreamdata pricing: the free plan's limits, buyer data and the prices the page used to show.
• HockeyStack pricing: what buyers pay, the add-ons and the archived price list.
• The best Dreamdata alternatives and the best HockeyStack alternatives.
• Multi-touch attribution: what the models do with the touches first and last touch leave out.
• Offline conversion tracking: sending the closed deal back to the ad platforms.
• LeadJourney pricing: every plan, in five currencies.