Software Alternatives & Startups

DebugBear VS AnalyticsProof

Compare DebugBear VS AnalyticsProof and see what are their differences

DebugBear

Track site speed and Core Web Vitals

Rating
0 reviews
Pricing
Paid Free trial $125 / Monthly
AnalyticsProof

Checks every day that your website and Android app still track visitors correctly: which GA4 or dataLayer event stopped arriving after a release, at which step, and what tools send before cookie consent. Nothing to install.

Rating
0 reviews
Pricing
Freemium Free trial €49 / Monthly (1 website, 3 recorded journeys, daily checks, Slack, API.)

Which is more popular?

Website Monitoring popularity
94% vs 6%
alternatives listed
158 vs 3

Base details

Website, pricing, platforms and company facts side by side.

DebugBear
AnalyticsProof
Website debugbear.com analyticsproof.com
Pricing
Paid Free trial $125 / Monthly Official pricing
Freemium Free trial €49 / Monthly (1 website, 3 recorded journeys, daily checks, Slack, API.) Official pricing
Company — Startup from the Czech Republic · 1 - 9 employees · 2026
Listed in

About DebugBear and AnalyticsProof

In their own words, as submitted to SaaSHub.

DebugBear
AnalyticsProof

Monitor the performance of your website and benchmark against the competition. Get alerted in Slack or by email when there's a problem. Continuously test the speed of your website in a controlled lab environment and get in-depth reports to optimize your site. DebugBear is built on top of...

Read more about DebugBear

Website and Android app tracking usually breaks quietly: a release changes the checkout, the purchase event still fires, but value or currency no longer arrives. Teams find out weeks later from a ROAS drop or a finance mismatch. How it works - Record a key journey once, such as product → cart →...

Read more about AnalyticsProof

Features and specs

What each product offers, as listed by its team.

DebugBear 5 features
AnalyticsProof 8 features
  • Performance Monitoring
    DebugBear offers extensive performance monitoring capabilities, allowing developers to track and enhance website speed and performance metrics over time.
  • Core Web Vitals
    The tool provides detailed insights into Google's Core Web Vitals, helping to optimize user experience by adhering to industry standards.
  • Automated Testing
    Automated testing features in DebugBear facilitate regular site checks without manual intervention, ensuring that performance standards are consistently met.
  • Collaboration Tools
    DebugBear includes collaboration tools that enable team members to share insights, reports, and progress, fostering a collaborative environment for performance optimization.
  • Historical Data
    It provides historical data tracking, allowing users to understand long-term performance trends and the impact of changes over time.

Possible disadvantages

  • Cost
    DebugBear can be relatively expensive for small businesses or individual developers, potentially making it less accessible for those with limited budgets.
  • Complexity
    The extensive features and detailed data can be overwhelming for users without a technical background, potentially increasing the learning curve.
  • Integration Limitations
    There may be some limitations in integrating DebugBear with certain other third-party tools or platforms that development teams use, which can affect workflow efficiency.
  • Limited Customization
    Some users may find that the level of customization available in the tool is not as high as they would like for certain specific use cases or reporting formats.
  • Cookie-banner check
    Opens the site as a new visitor and lists which tools, such as GA4, Google Ads and Meta, send data before consent and after rejection, including Google Consent Mode states.
  • No-code journey recording
    Record a key journey once, such as product → cart → checkout. The browser runs on our servers and streams into your dashboard, so nothing is installed on the site.
  • MCP server and REST API
    AI assistants such as Claude and ChatGPT connect over MCP to read results, explain findings and set up checks. The REST API is available from Starter.
  • Daily journey replay
    Recorded journeys are replayed every day on paid plans and every 2 weeks on Free, with the same country, language and viewport as the recording.
  • Agency organizations
    Agencies manage client projects in one organization, set alerts per project and invite client teams. €99/month for 3 websites, €29 per extra website.
  • Measured event diff per step
    Each step shows what the page pushed to the dataLayer next to what was sent to GA4 (and other tools), compared with the expected state learned from the first runs.
  • Android and smart-TV app journeys
    The same journey checks run on Android apps and smart-TV (HbbTV) apps alongside the website, on the Professional plan.
  • Pull-request checks
    A journey runs against the preview of a pull request on GitHub, GitLab or Bitbucket and reports changes before the code is merged (Professional).

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
DebugBear
AnalyticsProof
94% 94%
6% 6%
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%

Questions & Answers

As answered by people managing DebugBear and AnalyticsProof.

What makes your product unique?

AnalyticsProof's answer:

User journey tests are recorded once in a browser that runs on our servers, then replayed every day. Each step shows what the page pushed to the dataLayer next to what was sent to GA4 (and other tools), plus a cookie-banner check of what tools send before consent and after rejection. An MCP server lets AI assistants read results and set up checks.

Why should a person choose your product over its competitors?

AnalyticsProof's answer:

It checks the journeys that make money, such as cart and checkout, step by step, and says exactly which event or parameter stopped arriving after a release. Nothing is installed on the site. The same check runs on Android and smart-TV apps, which most tag-audit tools don't cover. Pricing starts with a free plan instead of an enterprise contract.

How would you describe the primary audience of your product?

AnalyticsProof's answer:

Analytics leads, Head of Digital and e-commerce managers at companies that release often, and analytics/PPC agencies that look after tracking on many client websites.

What's the story behind your product?

AnalyticsProof's answer:

Built by Václav Ráš, a web analytics consultant who kept finding the same problem with clients: a release quietly breaks tracking and nobody notices for weeks. AnalyticsProof automates the check he used to do by hand in DevTools after every release.

User comments

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Alternatives to DebugBear and AnalyticsProof

When comparing DebugBear and AnalyticsProof, you can also consider the following products.