Dreamdata Pricing 2026: Plans, Real Costs and What Changed

The unit behind Dreamdata's price is the monthly tracked user, or MTU. Its pricing page defines it as the number of unique monthly tracked users across all your go-to-market assets, such as your website and your marketing automation system. The documentation is more precise about what counts:

• Website: every visitor, anonymous or identified, who views a page or submits a form, where they have accepted cookies.
• CRM: active contacts with tracked activity, such as form submissions, page views and email clicks.
• LinkedIn: each member who engages with an ad through a click, a like, a comment, a share or a completed video. Impressions do not count.
• Across sources: one person is counted once per calendar month, and anonymous visits merge into one MTU once the person identifies themselves.

Two things follow. The price grows with your reach rather than your results: a bigger website audience, a larger CRM and a more engaging LinkedIn campaign all add MTUs. And connecting another source to get a fuller picture is also connecting another source of billable users.

Tracked users or tracked accounts?

Buyer data on Vendr names the number of tracked companies as the main driver of a Dreamdata contract, followed by the feature set, the contract length and the integrations. Both readings point the same way: the quote follows how much of your market Dreamdata sees, and it is set in a sales conversation.

Why there is no price on the page

The paid column describes itself as advanced plans for larger teams, with a guided free trial available, and the way in is a demo. What it includes is listed in full. What it costs is not, for any volume.

The free plan is real and needs no credit card. In the page's own words it covers:

• B2B web analytics
• Cookie and cookie-less tracking
• Engagement scoring
• Company identification
• Audience builder
• Slack and Teams notifications
• Ad spend report
• B2B benchmarks

What it leaves out is the reason most teams look at Dreamdata: the AI-based attribution models, revenue and content analytics, custom ROI and ROAS reporting, the Analytics Agent and the MCP server are all on the paid plan. The free plan tells you which companies are on your site. It does not tell you which campaign earned the pipeline.

The paid plan unlocks everything Dreamdata sells, some of it as add-ons with a price of their own:

• Attribution: AI-based attribution models, revenue and content analytics, custom reporting on ROI and ROAS, AI-powered report summaries.
• Dreamdata AI: the Analytics Agent for plain-language questions, and an MCP server that brings Dreamdata into the LLM you already use.
• Advanced data controls: event builder, custom UTM mapping, data model scheduler, custom data sources, multiple business units, SSO and SAML login, with SCIM as an add-on.
• Support: full onboarding, a dedicated CSM, a dedicated technical manager, solutions consulting and data science support.
• Activation (add-on): audiences built from the account model and synced to the ad platforms, sales notifications, and conversion syncs to Google Ads, LinkedIn, Microsoft Ads and Meta.
• Data Warehouse (add-on): Dreamdata's account-based model in your own warehouse.

The add-ons matter for the quote. Sending conversions back to the ad platforms, which many teams consider part of attribution, is Activation, and Activation is priced on top.

With no price on the page, the best public evidence is what buyers report paying. Vendr, which negotiates software contracts, publishes a median of $35,440 a year for Dreamdata, with deals from $27,000 to $96,000, and groups them by the number of accounts tracked:

The first year column adds the implementation fees Vendr reports, $5,000 to $10,000 or more. The same data describes annual subscriptions as the standard, monthly billing as generally unavailable for new customers, discounts of 10 to 30% off the first quote depending on deal size, 15 to 30% lower annual pricing on multi-year terms, and renewal escalators of 5 to 10% a year.

Read the ranges as negotiated outcomes, not a price list. They tell you the order of magnitude to expect in the room, and that the first number you hear is rarely the last.

Articles still quote Dreamdata at $599, $1,499 or $750 a month. All three prices were real. Archived copies of the pricing page show them:

What changed is not only the number but where you learn it. In 2024 a team could budget from the page and see that 30,000 tracked users cost from $7,188 a year. In 2025 the first paid step was $750 a month for 10,000 tracked users. Today the first paid price arrives in a sales conversation, and the buyer data above suggests it lands well above either.

Dreamdata models the B2B account journey better than almost anyone, and for the right team the contract buys exactly that:

• You sell to buying committees. Every stakeholder's touches land on one company timeline, which is what an account-based programme runs on.
• You need to see anonymous companies. Dreamdata identifies, by its own figure, up to 80% of the companies behind visits, scores their engagement and builds audiences from it.
• You run an enterprise stack. Microsoft Dynamics, Marketo, Eloqua, Snowflake and the BI tools are all connected, with a technical manager to wire them.
• Procurement has a checklist. SOC 2 Type II, EU data centres and SSO are in place.
• Your deals are large. Against six-figure contracts, a $35,000 tool that moves budget to the right accounts pays for itself quickly.

• You need attribution, not analytics. The free plan has no attribution models, so the real comparison starts at the paid plan and its quote.
• You want a number before a call. No paid price is published for any volume.
• Your conversion is a named lead. When revenue arrives as a form, a call or a booked meeting, an account model and company identification are capability you pay for and do not use.
• Your team is small. Implementation fees, a data model to configure and an annual contract are a lot of commitment for a team of two.
• You want to pay monthly. Buyer data describes annual contracts as the standard, with escalators at renewal.
• You want the loop closed by default. Conversion syncs back to the ad platforms sit in the Activation add-on.

LeadJourney is an all-in-one attribution platform built around the named lead, B2B and B2C: it follows every person from the first click through the form, the call and the CRM stages to the closed deal. Its plans are priced by monthly ad spend and published in full.

The LeadJourney ladder

These are not the same product at different prices. Dreamdata sees the anonymous account and LeadJourney does not; LeadJourney tracks server-side on your own domain, attributes the named lead with every model on every plan, and sends the stage changes and closed deals back to Meta, Google, LinkedIn and Microsoft Ads without an add-on. If the account is what you need to see, the Dreamdata contract buys it. If the lead is, the price on the page is the shorter route.

The full Dreamdata comparison sets both products against each other row by row.

1. Count your monthly tracked users. Unique website visitors who accepted cookies, CRM contacts with activity, and LinkedIn members who engaged with an ad, deduplicated, per month.
2. Count your tracked accounts too. The number of companies behind those users is what buyer data names as the main driver.
3. Place yourself in a band. Use the Vendr ranges above, and budget the implementation fee on top for the first year.
4. List the add-ons you need. Ask whether Activation and the Data Warehouse are in the quote, since conversion syncs to the ad platforms live in Activation.
5. Ask about the renewal. The escalator, the multi-year discount and whether the MTU count is reviewed during the term.
6. Price the alternative on the same needs. A tool priced by ad spend needs only your monthly budget, which you already know.

• Dreamdata vs LeadJourney: the full comparison, feature by feature.
• Hyros pricing: the other way to price attribution, by the revenue it tracks.
• LeadJourney pricing: every plan, in five currencies.
• Offline conversion tracking: sending the closed deal back to the ad platforms.
• Multi-touch attribution: what the models do with the touches first and last touch leave out.