Marketing Analytics Tools for Small Business: What They Actually Cost in 2026

How are business analytics tools priced? Per user (Power BI Pro is $14 per user per month on a yearly plan), per connected data source or account (Supermetrics starts at $39 a month on yearly billing), or by ad spend and data volume (Northbeam starts at $1,500 a month). Yearly billing is usually about 20% cheaper than monthly, and add-ons are charged on top.

This post lists only prices we read on each vendor’s own pricing page on 12 October 2026, with the billing basis beside each figure. Prices are in US dollars as listed and may differ at checkout.

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What the listed prices are

Tool	What you pay for	Listed price	Billing basis
Power BI Pro	Per user	$14.00 per user per month	Paid yearly
Power BI Premium Per User	Per user	$24.00 per user per month	Paid yearly
Supermetrics Starter	Per plan, 1 user	$39 per month, or $49 on monthly billing	Yearly or monthly
Supermetrics Growth	Per plan, 2 users, 7 data sources	$159 per month, or $199 on monthly billing	Yearly or monthly
Funnel Starter	Per plan, 117 connectors	$300 per month	Billed annually
Funnel Business	Per plan, 579 connectors, unlimited users	$600 per month	Billed annually
Databox Free	1 user, 3 data sources	$0	Free
Databox Analyst	1 user, 5 data sources	$71 per month	Billed annually
Northbeam Starter	Ad spend and data volume, brands under $1.5M a year in ad spend	$1,500 per month	Month-to-month, usage-based
Northbeam Professional	Ad spend, up to $500K a month	$3,500 per month	Annual term

Prices read 12 October 2026 from the vendor pages linked in the table. Two vendors are left out on purpose. Tableau and Triple Whale did not return a price page we could read, and Looker’s pricing page did not load. Databox’s Team plans are also left out because its own plan cards and FAQ disagree on the figure.

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Three ways a tool is priced

Per user. Power BI is the clearest example. The price you see is for one person, so a team of five on Pro is five times the figure in the table. Per-user pricing is cheap for a founder working alone and grows with every person who needs to open a report.

Per source or account. Supermetrics and Funnel charge for how much data you pull in. A plan includes a set number of users, data sources and ad accounts, and going past that means an add-on or a higher plan. On Supermetrics Starter, an extra data source is $29 a month on yearly billing, and on Growth an extra user is $99 a month on yearly billing, each up to a cap. Compare the add-on and the billing basis, not just the headline plan price.

By ad spend and data volume. Northbeam prices attribution by how much a brand spends on ads and how much traffic it tracks. The $1,500 a month starting price is for brands spending under $1.5M a year, and Northbeam notes that monthly figures are estimates based on data volume, so the final price can differ.

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Annual billing is the norm

Supermetrics lists Starter at $49 a month on monthly billing and $39 on yearly billing, and Growth at $199 against $159. Databox lists a 20% discount for annual billing, and Funnel and Northbeam Professional are annual. Power BI’s page lists Pro and Premium Per User as paid yearly and shows no monthly option.

That is a 20% saving if you will use the tool for twelve months and a 12-month commitment if you will not. For a small business still working out which reports it needs, the cheaper monthly rate is a cost of staying flexible.

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What the table does not include

Implementation time. Mapping fields, fixing a sync when an ad platform changes its API and rebuilding a report that silently stopped updating all take hours that no pricing page counts. For a solo founder that time comes out of the business.

Add-ons and caps. A plan’s included users, sources and accounts are fixed. The add-on that fills the gap has its own price and its own cap, and past the cap you move up a plan.

Seats. Per-user tools multiply by headcount. We have not built a team total from the figures above, because the add-on rules and caps differ by plan and any total we gave would depend on a plan you may not choose.

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When a paid tool is worth it

A business with a dedicated analyst, several data sources that need to refresh through the day, and stakeholders who each need their own access gets real value from a paid platform. The mistake is buying that tier before the business needs it.

The signal that a business has outgrown the spreadsheet is refresh frequency, not revenue: once a dashboard has to update several times a day for more than two people making decisions from it independently, rebuilding it by hand starts to cost more than the subscription.

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The low-code middle ground

Before pricing any tool, confirm which framework you need it for. See RACE, AIDA, RFM, CLV-NPS or AARRR: which one solves your problem.

For a solo founder or a lean team under that threshold, a spreadsheet-native approach covers most of the same reporting with no per-user fee, no connector add-on and no annual contract. An RFM segmentation build, for example, needs nothing more than a spreadsheet and your existing transaction log. It needs a manual export and refresh instead of a live sync, which is the real tradeoff against the paid tools above, but for weekly or monthly decisions that rarely costs anything that matters.

The thinking behind that approach is in the low-code revolution for bootstrapped founders. That is the tier Analytics Forge is built for: five framework-specific engines, one flat price each, no subscription, running in the spreadsheet tools already open on your desktop. Tell us what you are paying for now and we will tell you whether it is worth the cost at your current size.