Attention Insight vs Maze
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
The short answer
Both sides assessedAttention Insight compared with Maze
Both operate pre-launch, but with different evidence. Maze puts real participants in front of a prototype and measures task completion, which costs money and time but reflects behavior. Attention Insight returns a prediction in seconds for a few dollars. The sensible sequence is predictive screening to eliminate weak options, then a Maze study on the survivors.
Maze compared with Attention Insight
Both answer design questions before launch, but on different evidence. Maze recruits real participants to attempt tasks on a prototype and reports completion rates, misclicks, and time on task. Attention Insight runs no participants at all: it predicts first-glance visual salience from a model trained on eye-tracking data and returns a heatmap in seconds, from roughly $19 a month. Use Attention Insight as a cheap composition check on a hero section or an ad creative; use Maze when the question is whether people can actually finish the flow.
Choose Attention Insight if
Designers, agencies, and ad teams who need to evaluate attention on a design, ad creative, or landing page before it goes live, and who want an objective figure to support a recommendation in a client review.
Choose Maze if
Product designers and product managers at software companies who want to validate prototypes and concepts continuously, with quantitative reports polished enough to circulate to stakeholders without editing.
Side by side
13 attributes| Attribute | Attention Insight | Maze |
|---|---|---|
| Category | CRO | CRO |
| Starting price | From roughly $19 per month for a small monthly analysis allowance (free trial) | Free tier for limited studies; paid plans commonly from around $99 per month (free plan available) |
| Pricing model | Self-serve subscription metered by number of analyses per month, with higher tiers adding team seats, API access, and white-label reporting. Annual billing is discounted. | Seat and volume-based subscription with a free tier for occasional use. Paid plans scale by studies, responses, and seats; panel participants are charged separately per person. Annual billing is discounted and enterprise agreements are quoted. |
| Free plan | No | A small number of studies and responses per month with core methods |
| Free trial | Free trial with a limited number of analyses | Free plan plus trial access to paid features |
| Best for | Designers, agencies, and ad teams who need to evaluate attention on a design, ad creative, or landing page before it goes live, and who want an objective figure to support a recommendation in a client review. | Product designers and product managers at software companies who want to validate prototypes and concepts continuously, with quantitative reports polished enough to circulate to stakeholders without editing. |
| Setup time | Minutes. There is nothing to install: upload a design or paste a URL and the analysis returns immediately. | A first prototype study can be built and launched within an hour, particularly from a template. Live website testing and in-product recruitment require a script and slightly more setup. |
| Learning curve | Low to use, higher to interpret responsibly. The important discipline is stating clearly, especially to clients, that the output is a prediction of attention rather than a measurement of behavior. | Low for launching studies, moderate for designing them well. The common failure is writing leading tasks, which produces confident but useless data, and templates only partly protect against it. |
| Platforms | Web application, Design tool plugins, API on higher tiers | Web application, Figma and prototyping tool integrations, In-product recruitment widget, Mobile web testing |
| Compliance | GDPR | GDPR, CCPA, SOC 2 Type II |
| Founded | 2019 | 2018 |
| Headquarters | Vilnius, Lithuania | Remote (incorporated in the United States, European roots) |
| Ownership | Private, independent | Private, venture-backed |
Strengths and limitations
Attention Insight
Strengths
- Works with no traffic and no tracking code, which no behavioral tool can do.
- Results arrive in seconds, fitting inside a design review rather than after it.
- Quantified attention percentages turn subjective design debates into measurable comparisons.
- Inexpensive relative to any form of real user research.
Limitations
- Predicts visual salience, not comprehension, motivation, or conversion.
- Static views only; interactive flows and scrolling behavior are not modelled as journeys.
- Accuracy claims are averages, and unusual layouts or imagery can fall outside the model's training distribution.
- Easily over-interpreted by stakeholders who hear heatmap and assume real users.
Maze
Strengths
- Direct Figma integration makes testing a design as easy as sharing it.
- Automatic quantitative metrics give unmoderated studies stakeholder credibility.
- Reports are genuinely presentable, which matters more than researchers like to admit.
- Broad method coverage including IA testing, surveys, and moderated interviews.
Limitations
- Unmoderated testing cannot ask the follow-up question when a participant does something unexpected.
- Pricing is aimed at funded product teams, with panel costs on top of the subscription.
- No A/B testing or conversion experimentation on live traffic.
- Behavior analytics on an existing site is shallow compared with dedicated replay tools.
Pricing compared
Attention Insight
Self-serve subscription metered by number of analyses per month, with higher tiers adding team seats, API access, and white-label reporting. Annual billing is discounted.
- StarterFrom about $19
- ProfessionalFrom about $59
- Agency and APIQuoted
At entry pricing this costs less than an hour of design time and can prevent a hero layout that hides the call to action, which is a good trade for any team shipping designs regularly. The value collapses if the output is over-interpreted: it predicts looking, not buying, and no reasonable price makes that a substitute for testing. Treated as a pre-launch sanity check and a persuasion tool in client reviews, it is inexpensive and useful.
Maze
Seat and volume-based subscription with a free tier for occasional use. Paid plans scale by studies, responses, and seats; panel participants are charged separately per person. Annual billing is discounted and enterprise agreements are quoted.
- Free$0
- ProfessionalFrom about $99
- OrganizationQuoted
Maze converts research from a scheduled project into something a designer does on a Tuesday, and the time saved before a bad build is the return that matters. For a funded product team, one avoided sprint pays for a year of the subscription. For a small team or solo operator, the entry price plus panel costs is steep next to cheaper suites that cover the same methods with less polish, and the honest comparison is against those rather than against not doing research at all.
Editorial verdict on each
Attention Insight
Attention Insight solves a narrow problem well: knowing whether a design directs attention where you intended before anyone has seen it. That is exactly when it is cheapest to fix, and no traffic-dependent heatmap tool can help at that moment. The quantified attention percentages are also unusually effective in client conversations, converting a design argument into a comparison. The risk is entirely in interpretation, since a predicted heatmap looks identical to a measured one and stakeholders will not naturally distinguish them. Used as a pre-launch screen and stated honestly as a model, it is cheap insurance. Used as evidence of conversion impact, it is worse than nothing.
Read the full Attention Insight profileMaze
Maze's contribution is speed: it made research fast enough to influence decisions that were already in motion, which is the difference between a research function that shapes a product and one that documents it afterwards. The Figma integration, automatic metrics, and shareable reports together mean a designer can settle an argument with data in two days rather than deferring it. The limits are structural rather than fixable: unmoderated studies cannot probe, prototypes are not products, and panel costs stack on top of a subscription already priced for funded teams. For product organizations that will actually run studies weekly it is excellent value, and for everyone else a cheaper suite covers the same methods with less polish.
Read the full Maze profileAttention Insight profile last reviewed 2026-08-22; Maze last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.