COMPARE // DOMO
Domo alternative: pricing, the credit model, and Domo competitors compared
Domo is a full business intelligence platform. It ingests from hundreds of sources, transforms data with Magic ETL, stores it or federates to your warehouse, and puts charts, low-code apps, workflows, and an AI chat layer on top. For a company that wants one governed platform for finance, operations, sales, and marketing at once, that breadth is the entire point, and Domo is genuinely good at it. It also means the product you are buying is much larger than a marketing dashboard, and so is the commitment.
read-only connectors // blended truth // no PII exposure
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Sample data, your real stack connects in minutes, read-only
The part buyers get stuck on is cost. Domo replaced per-seat licensing with a credit-based consumption model, and it documents the mechanics openly: one credit per table created or updated, one to three credits per dataflow output table depending on the execution type, one credit per million materialized storage rows per month (nothing at all if you keep your data in your own warehouse), and 3.2877 credits per day for each external user account that needs its own instance. What Domo does not publish anywhere is what a credit costs in dollars. Its own pricing guide promises to explore general spend ranges and then never names a figure. Cost per credit falls as you commit to bigger pools and longer terms, which is normal enterprise practice, but it means two companies running identical workloads can pay very different amounts, and neither can check the other's number.
There is also a live corporate question. On July 22, 2026, Progress Software announced an agreement to acquire Domo's AI and Data Platform business for approximately $400 million in cash, a deal Progress expects to close within its fiscal year ending November 30, 2026, subject to regulatory clearance. Acquisitions do not make a product disappear, and Progress has said the platform broadens its data offering. They do reasonably prompt a buyer signing a multi-year credit commitment this quarter to ask where the roadmap and the pricing model land afterward.
MixedMetrics is not a Domo replacement for company-wide BI, and this page will not pretend otherwise. It is the alternative for the specific job most marketing teams hired Domo to do: read-only connectors to GA4, Google Ads, Meta Ads, TikTok Ads, Search Console, Shopify, Stripe, and Klaviyo or HubSpot feeding a board that already knows what blended ROAS, blended CAC, MER, LTV, and LTV:CAC mean, plus an AI layer that flags what changed and where spend is leaking. Flat $79 a month, no credits, no data modeling, no procurement cycle.
The short answer
Domo does not publish a price. Its contracts are credit-based: you buy a pool of credits and activity spends them, at one credit per table created or updated, one to three credits per ETL dataflow output table, and one credit per million materialized storage rows per month, with free unlimited user seats and a 30-day trial that needs no credit card. Domo publishes those credit mechanics but never a dollar value per credit, so the only way to learn your actual cost is a sales call. On July 22, 2026, Progress Software agreed to buy Domo's AI and Data Platform business for roughly $400 million in cash, which adds roadmap questions on top of the budget ones. MixedMetrics is the alternative for teams whose real question is marketing spend against revenue: blended ROAS, blended CAC, MER, and LTV:CAC on one live board for a flat $79 a month, with no credits to forecast.
Last updated July 2026
Domo is an enterprise BI and data platform sold on a credit-based consumption contract with no published dollar pricing, free unlimited internal seats, and a 30-day trial. MixedMetrics is a finished blended marketing and revenue dashboard: blended ROAS, CAC, MER, LTV, and revenue by channel with an AI leak-finder, flat $79 per month, self-serve, no BI build and no credit forecasting. A whole data platform you must scope with a sales team versus the marketing answer already computed.
Side by side
Domo vs MixedMetrics, honestly
A fair look at what each does well. Both can show you marketing numbers. Here is where they differ.
| What matters | MixedMetrics | Domo |
|---|---|---|
| Published price | Flat $79 per month, listed publicly, self-serve checkout | None. Domo publishes credit mechanics but no dollar figure. Every quote comes from a sales conversation |
| Pricing model | Flat subscription. Does not change with sources, accounts, users, spend, or revenue | Credit consumption: 1 credit per table created or updated, 1 to 3 per ETL output table, 1 per million materialized storage rows per month |
| Cost predictability | Fully predictable. The number is the same in a heavy month and a quiet one | Depends on refresh frequency and pipeline design. Domo provides credit utilization reporting so you can track and forecast it |
| User seats | Included on the flat plan | Genuinely free and unlimited for internal users, which is the strongest part of the model |
| Scope | Marketing and revenue only: paid channels, analytics, store, and billing | Full BI platform: any source, ETL, warehousing, apps, workflows, data science, embedded analytics |
| Blended profitability math | Blended ROAS, blended CAC, MER, LTV, and LTV:CAC computed out of the box | Buildable, and Domo has the power to do it well, but somebody has to model and maintain it |
| Time to first useful view | Same day. Connect accounts and the blended metrics populate | Weeks to months typically, including scoping, onboarding, and dataflow design |
| Trial | Self-serve, no sales call required | 30-day free trial, no credit card, full platform with onboarding support and one training session |
Comparison reflects general, publicly understood positioning. Capabilities change, so check each product for the latest.
The field
Domo competitors compared on verified July 2026 pricing
Every figure below was read off the vendor's own pricing page in July 2026. Where a vendor does not publish a rate, we say so instead of repeating a third-party number we cannot confirm.
| Tool | Best for | Pricing model | The honest catch |
|---|---|---|---|
| Domo | Companies that want one governed BI and data platform across every department, with unlimited viewers | Not published. Credit-based consumption contract, quoted by sales. Cost per credit falls with larger credit pools and longer terms. 30-day free trial, no credit card | You cannot benchmark the cost before a sales call, and the bill tracks pipeline activity rather than headcount |
| MixedMetrics | Marketing and growth teams that want blended ROAS, CAC, MER, and LTV answered without building anything | Flat from $79/mo regardless of sources, accounts, users, spend, or revenue | Marketing and revenue scope only, attribution-lite by design, and no white-label client portal |
| Microsoft Power BI | Microsoft-shop teams that want cheap per-seat BI with deep Excel and Azure ties | Free account available. Pro $14.00 per user/month paid yearly, Premium Per User $24.00 per user/month paid yearly | Per-seat cost grows with every viewer, and marketing connectors are thin without a paid pipeline tool in front |
| Tableau | Analyst-led organizations that want best-in-class visual exploration | Standard from $15 USD per user/month billed annually, the advanced edition from $35, and the agentic analytics tier from $40 | Priced per user with a real learning curve, and it visualizes data rather than collecting it |
| Databox | Small teams that want prebuilt marketing dashboards fast | Free (3 sources, 1 user), Analyst $64/mo, Pro $159, Growth $399, Custom. Roughly $5.60/mo per extra source on Pro and above. 14-day Growth trial, no card | Cheap tiers cap data sources hard, and it reports channel metrics rather than blending spend against collected revenue |
| Klipfolio | Teams comfortable building custom metric logic themselves | Klips plans $120, $190, $310, and $600 per month on annual billing, metered by dashboard count | Charging by dashboard count penalizes exactly the teams getting value, and the PowerMetrics pricing pages now 404 |
| Improvado | Enterprise marketing teams with an analytics function and a real budget | Free Limited $0, MCP Only $100/mo, Advanced and Enterprise quoted | The tiers that matter are unpriced and sold through sales, so you cannot compare cost without a call |
| Looker Studio | Anyone who wants a free canvas and already has the data somewhere | Free. Looker Studio Pro roughly $9 per user per month | Free to license, expensive in hours. Native connectors are thin and blends get slow as data grows |
Pricing checked July 2026 on each vendor's public pricing page. Vendors change prices, so confirm before you buy.
In depth
What buyers actually ask before choosing Domo
How much does Domo cost?
Domo does not publish a price, and that is the complete answer. There are no tiers labelled Small Business or Enterprise, no per-seat rate, and no dollar figure anywhere on domo.com. The pricing page offers exactly two paths: a 30-day free trial with no credit card, or Custom Pricing behind a Contact Sales button. Domo's own pricing guide opens by promising to explore general spend ranges and then closes without naming one.
What Domo does publish, in useful detail, is the mechanics. Contracts come with a pool of credits, and activity spends them. Ingesting data costs one credit for each table created or updated. Running a dataflow costs one, two, or three credits per output table created or updated, depending on the execution type, with Magic ETL and MySQL priced differently. Storage is free if you keep your data in your own warehouse and Domo federates to it; if Domo manages storage it is one credit per one million materialized storage rows per month, or one credit per two million virtual storage rows. External users who need their own instance run 3.2877 credits per day each. Domo AI is included, while Domo AI Pro features are metered.
The missing variable is what a credit is worth in dollars, and Domo states that cost per credit decreases as you commit to larger credit pools or longer contracts. That is standard enterprise volume pricing, but it has a practical consequence: two companies with identical workloads can pay materially different amounts, and no public benchmark exists to check either. If you need a number before a sales cycle, Domo is structurally unable to give you one. We take the credit mechanics apart and work through what teams actually report paying in our guide to Domo pricing, and our marketing reporting software pricing comparison lists sixteen tools that do publish rates.
What is Domo's credit-based pricing model?
It is consumption pricing that meters work performed rather than people with logins. Domo explicitly replaced its previous per-seat model, and the headline benefit is real: user seats are free, so you can give every employee access without the bill moving. For a company that had been rationing dashboard access to control license spend, that alone can change how data gets used internally.
The trade is that cost now follows pipeline design instead of headcount, and pipeline design is easier to get wrong. Four things drive consumption: how many sources you connect and how often each refreshes, how much ETL transformation you run and how frequently, whether Domo stores your data or federates to your warehouse, and how much AI and workflow automation you use. A team that sets every dataset to refresh every 15 minutes because it seemed safer will spend several times what the same team spends on hourly refreshes, for reporting nobody reads more than twice a day.
Domo mitigates this reasonably well. Failed processes do not trigger charges, and the Credit Utilization interface plus DomoStats Credit Balance Reports let you see what has been spent, forecast forward, and prioritize. Used properly it is a fair model. It is simply a model that requires ongoing attention from somebody who understands it, which is a different kind of cost from a flat subscription.
Is Domo being acquired by Progress Software?
Yes, in part. On July 22, 2026, Progress Software announced an asset purchase agreement to acquire Domo's AI and Data Platform business for approximately $400 million in cash, funded with cash on hand and borrowings under Progress' existing $1.5 billion revolving credit facility. Progress expects the transaction to close within its fiscal year ending November 30, 2026, supported by a voting agreement from key Domo shareholders and subject to regulatory clearance and customary closing conditions. Progress has said the deal brings over 2,400 customers along with cloud partnerships and stronger data governance and analytics capability.
What this means for a buyer is not disaster, and treating it as one would be unfair to a platform with a long track record. Progress is acquiring the business to invest in it, and existing contracts are contractual obligations that survive a change of ownership. The honest read is narrower: any acquisition creates a period where roadmap priorities, support structures, and eventually commercial terms get revisited by new owners.
The practical advice is timing-sensitive rather than directional. If you are about to sign a multi-year credit commitment, it is a fair question to raise with the sales team and worth asking what happens to your rate and your renewal terms after close. If you are buying a marketing dashboard rather than a company-wide data platform, this is one more reason to check whether you need something this large at all.
Domo vs Power BI vs Tableau: which one is cheaper?
On list price, Power BI is the cheapest by a wide margin. Power BI Pro runs $14.00 per user per month paid yearly, Premium Per User is $24.00, and there is a free account for personal use. Tableau starts at $15 USD per user per month billed annually for Standard, $35 for the advanced edition, and $40 for its agentic analytics tier. Domo cannot be compared on list price because it has none, but its free unlimited seats mean the comparison inverts at scale: 200 viewers cost Power BI $2,800 a month in Pro licenses and cost Domo nothing extra.
That crossover is the real decision. Per-seat tools are cheap when few people need access and expensive when the whole company does. Consumption tools are the reverse: cheap for wide readership, expensive when pipelines run hot. Estimate your viewer count and your refresh frequency before comparing anything, because those two numbers decide the answer more than the vendor does.
The point all three share is that none of them collects your marketing data. Power BI and Tableau are visualization layers, and Domo does have native connectors, but in every case somebody defines what blended CAC means, builds it, and repairs it when Meta renames a field. That build is where marketing teams lose months. Our Looker Studio alternative page works through the same hidden-labor problem on the free end of the market.
Do you actually need Domo to track marketing performance?
If marketing reporting is the reason Domo is on your shortlist, probably not. Domo is built for the case where finance, operations, supply chain, and marketing all need governed access to the same modeled data, with apps and workflows on top. That is a real problem and Domo solves it. It is also a much bigger problem than knowing whether last month's ad spend produced profitable revenue.
The marketing question is narrow and repeatable: total spend across every channel, revenue actually collected in Stripe or Shopify, new customers acquired, and the blended ratios between them. Those definitions do not vary much between companies, which is why they can be productized rather than modeled from scratch. MixedMetrics computes blended ROAS, blended CAC, MER, LTV, and LTV:CAC across connected channels the same day you connect accounts, and its AI layer flags what changed week over week and where spend is leaking. See blended ROAS for how the core metric is calculated and cross-channel marketing analytics for the full view.
The honest boundary: we are attribution-lite, not multi-touch attribution or marketing mix modeling, and we do not offer a white-label client portal. If your requirement is embedded analytics for external customers, company-wide governed BI, or data science notebooks against your warehouse, Domo is a legitimately better purchase and you should buy it. If the requirement is knowing where the money went, a flat $79 a month answers it this afternoon.
Why teams pick MixedMetrics
Blended truth, AI insights, no BI tool
One blended read-out
Blended ROAS, CAC, MER, LTV, and revenue by channel in one live view, instead of eight platform dashboards each claiming the same conversion under its own attribution.
AI that finds the leak
A built-in insight layer reads the blended data and tells you what changed and where spend is leaking, so you act before the month closes. No analyst required.
Connect, do not migrate
Read-only connectors to GA4, Google Ads, Meta, TikTok, Stripe, Shopify, and more. No BI tool to build, no data engineer, first blended dashboard the same day.
Good questions
Domo vs MixedMetrics, answered
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Blend your marketing and revenue with MixedMetrics
Connect your ad channels, store, and billing through read-only connectors and see blended ROAS, CAC, and revenue in one live dashboard.
read-only connectors // blended ROAS, CAC, MER // AI insights // no PII exposure