Hyros pricing: what is public and what is not
Hyros's own page shows one plan priced by tracked monthly revenue, $230 a month for up to $20k (read 1 October 2026), with setup booked through its team. Get the price for your own bracket in writing, and test the credited sales against a holdout.
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By Joris van Huët, Founder & CEOUpdated 5 min read
Hyros publishes one plan priced by tracked monthly revenue, and its own page shows $230 per month for up to $20k of tracked monthly revenue (read 1 October 2026), with revenue brackets listed up to $1m+ and setup booked through its team. Whatever the number, credit for tracked clicks is an observational figure, and in 15 Facebook experiments observational methods often failed to reproduce the randomized result (Gordon et al., Marketing Science, 2019, peer-reviewed).
What is public about Hyros pricing, and what is not?
Hyros's pricing and FAQ page, read on 1 October 2026, lists revenue brackets of 20k, 40k, 83k, 250k, 750k and 1m+ and, for "Up to $20k tracked monthly revenue", shows "$230 / per month". It describes "One plan" with "No tiers. No add-ons.", says "Your set up will be custom", and offers "Book Setup" and "Book a demo". The price shown when the page loads is the lowest bracket's; this post states no price for the higher brackets, because the page as read did not print them. A banner on the same page announced special pricing for setups booked before 10/1 ("Special pricing ends soon"), and the page does not say whether $230 is that special price or the standing one. The comparison table records the same entry with its read date.
What stays open is the part that decides your cost: which revenue Hyros counts as tracked, over what period, what your bracket costs, and whether the figure you are quoted is the special price or the standing one.
What should you ask before you book a setup?
Ask for these in writing:
- What the price scales with. The page prices by tracked monthly revenue, so ask which revenue is counted and over what period, and what your bracket costs.
- The term, the renewal and the special price. Month-to-month or a minimum term, whether the price assumes paying a year up front, whether the quote is the banner's special price or the standing one, and what the price becomes at renewal.
- What is included. Seats, integrations, onboarding and support, and what costs extra.
- The exit. What happens if it does not work for you, in writing.
- What it says about a test with a known answer. Use the test below.
How do you test what you would be paying for?
A price is a cost. The value is the extra sales the tool lets you keep or find, and a click-tracking tool credits sales to clicks it recorded. A comparison group is the direct way to see whether those sales would have happened anyway. Test the channel the tool credits most:
- Write down the tool's number first. Note the orders it credits to that channel each week before you change anything.
- Cut or pause the channel in some regions. Keep it on in matched regions and run the test long enough to count orders; the holdout calculator gives the number of days.
- Compare total Shopify orders, not credited ones. Pass: the drop in total orders in the cut regions is close to the orders the tool credited there. Fail: total orders barely move while the tool still credits many.
For illustration: the tool credits 400 orders a month to the channel, 200 of them in the regions you cut; if those regions then book 20 fewer orders than their matched regions, the test points to about 20 incremental orders there, a tenth of the 200 credited.
Experiments are noisy too. Across 25 large field experiments, the median confidence interval on return on investment was over 100 percentage points wide (Lewis and Rao, Quarterly Journal of Economics, 2015, peer-reviewed), so read the direction and the rough size, and pick a channel with enough orders. Neither study tested a tracking vendor's credit, and no source cited here tests Hyros's credit against a holdout.
Where does a one-off causal read fit?
For comparison, a causal attribution read like Causality Engine's publishes its price: €99 per read, once, excluding VAT, refundable within 30 days; Pro is €299 a month. It takes one GA4 export and needs no pixel or tracking script, and it shows what each channel caused next to what last-click gave it. It does not track clicks or calls, works on GA4 channel groups rather than campaigns, and takes no spend data.
Sources, 1 October 2026: Hyros pricing and FAQ page (Hyros, read 2026-10-01, vendor-published); A Comparison of Approaches to Advertising Measurement (Gordon et al., Marketing Science, 2019); The Unfavorable Economics of Measuring the Returns to Advertising (Lewis and Rao, Quarterly Journal of Economics, 2015).
Related answers
Frequently asked questions
How much does Hyros cost?
Hyros's pricing page, read on 1 October 2026, shows $230 per month for up to $20k of tracked monthly revenue, with brackets listed up to $1m+, one plan and no tiers or add-ons. A banner on the page also announced special pricing for setups booked before 10/1. Setup is booked through its team, so get the price for your own bracket in writing and ask whether it is the special or the standing price.What should I ask before buying a tracking tool priced by revenue?
Ask, in writing, which revenue is counted and over what period, the term and the renewal price, what is included, and the exit terms. Then test one channel with a holdout before you rely on the credited numbers.Is click tracking the same as incrementality?
No. Click tracking records which touchpoints were present; incrementality asks whether the sale would have happened without the spend, which needs a comparison group. In 15 Facebook experiments, observational methods often failed to match the randomized result.
Go deeper: Causal attribution, explained.
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
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Terms in this article
- AttributionAttribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
- Causal AttributionCausal Attribution uses causal inference to determine which marketing touchpoints genuinely cause conversions, not just correlate with them.
- CausalityCausality is the relationship where one event directly causes another, essential for identifying specific actions that drive desired outcomes in marketing.
- Confidence IntervalConfidence Interval is a statistical range of values that likely contains the true value of a metric. In marketing analytics, it quantifies uncertainty around estimates, indicating the precision of an outcome or causal effect.
- ExperimentsExperiments are scientific procedures that test hypotheses or demonstrate facts. In marketing, experiments like A/B tests determine the causal effect of campaign changes, enabling data-driven decisions.
- IncrementalityIncrementality measures the true causal impact of a marketing campaign. It quantifies the additional conversions or revenue directly from that activity.
- Incrementality TestingIncrementality Testing measures the additional impact of a marketing campaign. It compares exposed and control groups to determine causal effect.
- RevenueRevenue is the total income generated by the sale of goods or services related to a company's primary operations.