Domo Pricing: What It Actually Costs on a Quote-Based Model, and Where Its AI Forecasting Fits

Search “Domo pricing” and you will not find a price list — Domo, like most enterprise BI/analytics platforms, sells entirely through a custom quote. What you get on Domo’s own pricing page is a “Request a Demo” path, not a number. That’s workable if you know what a quote is actually built from and what a realistic range looks like; it’s a bad position to negotiate from if you don’t. This guide breaks down how Domo is actually priced, what real contracts tend to cost, what pushes the number up, what “Domo AI pricing” really means once you dig past the marketing name, and where a dedicated predictive-AI tool like Pecan AI fits (and doesn’t) once Domo is already in your stack.

Tip: try code CASRAI at checkout for 15% off, if the offer is currently active for this program — codes vary by vendor and aren’t guaranteed.

See Pecan AI pricing →

How is Domo priced? Seats, connectors, and consumption

Domo doesn’t sell one SKU. Per third-party SaaS-procurement aggregator Vendr, which tracks actual negotiated Domo deals (checked August 2026 — Domo’s own pricing page blocked automated access during verification for this guide, so it is cited here rather than quoted directly), a quote is assembled from several inputs quoted together, not priced separately on a public page:

• User licenses, by role — Domo has historically licensed users differently depending on what they need to do in the platform: full builders/admins, people who mainly consume dashboards, and lighter view-only access. The exact current role names and per-role pricing are part of the quote, not published.
• Data connectors — the number and type of source systems you connect (databases, SaaS apps, warehouses) factors into the license/platform tier you land on.
• Platform tier — see the two broad tiers below; which one you’re quoted into changes both the base price and what’s included.
• Contract term — annual commitments are standard; term length is itself a negotiating lever.
• Add-ons — embedded analytics/white-labeling, advanced governance, premium support, and Domo’s AI/ML features are commonly quoted as separate line items on top of the base platform (more on this in the Domo AI pricing section below).

One nuance worth flagging honestly: Domo has, at various points, also metered certain workloads — data pipeline/ETL jobs and some embedded-usage scenarios — through a credits-based consumption unit rather than a flat per-seat fee alone. That’s a real, historically documented part of how Domo prices consumption on top of seats, which is why this guide frames Domo as a “seat-plus-consumption” model rather than pure per-seat licensing. We could not independently reconfirm the current mechanics of that credits system against Domo’s own site for this page (domo.com returned an automated-access block on every fetch attempt made in August 2026), so treat the credits detail as a known structural feature of Domo’s pricing philosophy, not a reconfirmed August 2026 rate card — ask your Domo rep to walk through exactly how consumption is metered in your quote before you sign.

What Domo actually costs: real contract ranges

Since Domo doesn’t publish figures, the closest thing to real pricing data is what procurement aggregators see across actual negotiated deals. Vendr’s tracked-deal data (91 purchases, checked August 2026) reports:

• Median annual contract value: roughly $50,000/year, with buyers who used a benchmarking/negotiation process saving an average of about 13% off the initial quote.
• Full observed range: roughly $10,920 to $175,245/year across different deployment sizes.
• Standard tier — core BI functionality aimed at small-to-mid teams, typically landing around $40,000–$150,000/year for roughly 25–100 users.
• Enterprise tier — adds advanced security/governance and generally requires a 50–100+ user minimum commitment, typically $150,000–$400,000+/year.

Treat these as directional, not authoritative. They’re a third-party aggregator’s read on real negotiated deals, not numbers Domo itself confirms, and every quote depends on the specifics below. But if a quote you receive is wildly outside this range for a comparable team size, that’s worth pushing back on.

What drives a Domo quote up or down

Before a sales call, it helps to know what actually moves the number:

• Number and mix of user licenses — more full/builder-level users costs more than a dashboard-viewing-heavy rollout.
• Number of data connectors and source systems — more connected systems generally pushes you toward a higher tier.
• Data/pipeline volume — heavier ETL and refresh workloads increase whatever consumption unit is metering that usage.
• Governance and security requirements — row-level security, SSO/SCIM, audit logging, and similar controls generally require Enterprise tier.
• Embedded/white-label use (Domo Everywhere) — embedding Domo dashboards inside your own product is typically a separate add-on.
• Domo AI features — see below; these are commonly quoted as an add-on rather than bundled into the base platform price.
• Contract length and timing — longer commitments and end-of-quarter timing are the two most common negotiating levers buyers report using to move off the list quote.

Domo AI pricing: what’s included, what costs extra

“Domo AI pricing” is a confusing search because Domo doesn’t sell “Domo.AI” as a separate product with its own price tag — it’s the marketing name for a set of AI/ML capabilities built into the core platform: natural-language querying of your data, automated narrative insights on dashboards, agentic workflows, and forecasting features embedded directly in Domo’s charts and dashboards. The practical answer, per Vendr’s tracked-deal data (checked August 2026): features like embedded analytics, AI/ML tooling, and premium support are typically priced separately from the base platform fee, not automatically included at every tier. In other words, the base seat-plus-consumption quote gets you the platform; whether the AI layer is bundled or billed as an add-on is itself part of what your rep negotiates into the contract — it is not a fixed, published add-on price you can look up in advance.

That matters for the rest of this guide, because it means Domo’s forecasting capability is not free to assume you have — confirm it’s actually in your quoted tier before deciding you don’t need anything else.

Domo’s built-in forecasting vs. a dedicated predictive-AI platform

Here’s the honest version of where this comparison actually lands. Domo’s forecasting and automated-insight features are genuinely built into the platform you’re already paying for (once confirmed in your tier) — they run on the data already inside Domo, surface trend lines and anomaly flags directly on dashboards your team already looks at, and require no separate integration. If that coverage is already meeting your need, adding a dedicated predictive-AI tool on top is redundant spend, full stop. A lot of teams asking “domo ai pricing” are really asking whether they need to buy anything else at all, and for a straightforward trend-and-anomaly use case sitting entirely inside Domo’s own data model, the answer is often no.

Pecan AI is a different kind of tool: a dedicated predictive-modeling platform built for teams that need to go past what an embedded BI forecasting feature does — genuinely custom predictive models (churn, demand, lead scoring, fraud) built against your specific data, deployed back into your warehouse or CRM, not just a trend line drawn on top of a chart you already had. Pecan’s own pricing (checked August 2026, verified directly on pecan.ai) is also quote-based, structured across three tiers — Starter, Team, and Business — scaled by monthly prediction-batch volume and rows of data stored (Starter: 2 batches/month, 500M rows; Team: 10 batches/month, 2B rows; Business: custom volume, 5B rows), billed annually with no setup fee. Neither vendor publishes a dollar figure, so this isn’t a “cheaper than Domo” claim — it’s a different tool for a different job.

Compare Pecan AI plans →

Who should NOT add Pecan AI on top of Domo

Being direct about this, since it cuts against the obvious incentive to recommend the affiliate product regardless: do not add Pecan AI if Domo’s built-in forecasting already covers what you need. Specifically, skip it if:

• Your use case is trend visibility and anomaly detection on metrics that already live in Domo dashboards — the embedded forecasting is designed exactly for this and adding a second tool is pure duplicate spend.
• You haven’t confirmed whether Domo’s AI features are already included in your current tier — check that first; you may already be paying for the thing you’re shopping to replace.
• Your team has no data science/analytics capacity to define and validate a custom predictive model — a dedicated predictive platform is only worth the added cost and workflow if someone owns the modeling work.
• Your predictions would run entirely on data that’s already fully modeled and clean inside Domo — there’s no data-model gap for a separate platform to close.

Pecan AI is the better fit only once you’ve genuinely hit the limits of what Domo’s forecasting covers — custom model types Domo’s embedded feature doesn’t offer, predictions that need to run against data outside Domo’s model entirely, or deployment back into a CRM/warehouse rather than a dashboard. If you’re not there yet, the honest answer is: don’t buy it yet.

Domo pricing FAQ

Does Domo publish pricing?

No. As of August 2026, Domo sells exclusively through custom quotes based on user licenses, connectors, platform tier, and add-ons — there is no public price list or self-serve calculator on domo.com.

How much does Domo cost per year?

Per third-party procurement aggregator Vendr’s tracked-deal data (checked August 2026), the median tracked contract is around $50,000/year, with a full observed range of roughly $10,920 to $175,245/year depending on tier and team size. Treat this as directional — Domo does not confirm these figures itself.

Is Domo AI included in the base price?

Not automatically. Per the same Vendr data, AI/ML tooling and embedded analytics are typically priced as add-ons rather than bundled into every tier by default — confirm what’s in your specific quote rather than assuming.

Is there a free version of Domo?

Domo has offered limited free/trial access at various points, but the core product for real organizational use is the quote-based paid platform described above; check Domo’s current site directly for any live trial offer, since free-tier availability changes over time.

Do I need Pecan AI if I already use Domo?

Only if Domo’s built-in forecasting doesn’t cover your need — see the honest breakdown above. If your forecasting need is fully served by what’s already in your Domo tier, adding Pecan is unnecessary spend.

Try Pecan AI →