Rank #4 of 4 in Product Analytics
Access
Install
npm install plausible-tracker
vs PostHog
vs Amplitude
vs MixpanelShowcase
Verified integrations
Connections to other tracked products — hover a chip for the verbatim evidence quote behind it.
By theme — the product's score on each story themeBy theme
Agenticness — how well agents can access and operate the productAgenticnessevidence →
How well agents can access and operate the product
Automation depth — how much of the product can run unattendedAutomation depthevidence →
How much of the product can run unattended
Dashboards reporting — stories about dashboards reporting in this arenaDashboards reportingevidence →
Stories about dashboards reporting in this arena
Event ingestion — stories about event ingestion in this arenaEvent ingestionevidence →
Stories about event ingestion in this arena
Flags experiments — stories about flags experiments in this arenaFlags experimentsevidence →
Stories about flags experiments in this arena
Funnels retention — stories about funnels retention in this arenaFunnels retentionevidence →
Stories about funnels retention in this arena
Integrations — connecting to other tools — breadth and depth of built-in integrationsIntegrationsevidence →
Connecting to other tools — breadth and depth of built-in integrations
Openness — open source, data portability, and self-hosting storiesOpennessevidence →
Open source, data portability, and self-hosting stories
Privacy cookieless — stories about privacy cookieless in this arenaPrivacy cookielessevidence →
Stories about privacy cookieless in this arena
Privacy posture — data-handling and privacy storiesPrivacy postureevidence →
Data-handling and privacy stories
Session replay — stories about session replay in this arenaSession replayevidence →
Stories about session replay in this arena
n/a
Warehouse sql — stories about warehouse sql in this arenaWarehouse sqlevidence →
Stories about warehouse sql in this arena
Story verdicts — every judged story with its evidenceStory verdicts
What’s free: 2 free · 0 paid · 0 enterprise · 17 not stated in evidence
Follow the green: where the map greys out is where Plausible Analytics stops today. ✓ full · ~ partial · ! disputed · — none · n/a not applicable.
Agenticness — how well agents can access and operate the productAgenticness
How well agents can access and operate the product
API surface
Drive the product through a documented public API
✓7/10
unlocks → Webhooks · Official SDKs · MCP server · Machine-readable spec · Versioning policy · API sandbox · Official CLI · Stream events onward to third-party destinations (CRM, ad platforms, webhooks) from the analytics platform
Subscribe to events via webhooks
—0/10
Build against official SDKs
—0/10
Issue scoped/least-privilege API credentials for an agent
~5/10
unlocks → Autonomous automations
Connect an agent via an official MCP server
—0/10
Download a machine-readable API spec (OpenAPI or equivalent)
—0/10
Rely on versioned APIs with a documented deprecation policy
—0/10
Test against a sandbox environment without touching production data
—–
Explore an interactive API reference with runnable examples
—0/10
Docs for agents
Point an agent at llms.txt or agent-oriented docs
—0/10
Agentic features
Delegate tasks to a built-in AI assistant inside the product
—–
Operate the product with natural-language commands
—0/10
Plug MCP servers into this product so it can use their tools
n/an/a
Get AI-generated insights and suggestions from my data inside the product
—–
Set up automations that run autonomously in the background
—0/10
Automation depth — how much of the product can run unattendedAutomation depth
How much of the product can run unattended
Dashboards reporting — stories about dashboards reporting in this arenaDashboards reporting
Stories about dashboards reporting in this arena
Event ingestion — stories about event ingestion in this arenaEvent ingestion
Stories about event ingestion in this arena
Identity
Flags experiments — stories about flags experiments in this arenaFlags experiments
Stories about flags experiments in this arena
Funnels retention — stories about funnels retention in this arenaFunnels retention
Stories about funnels retention in this arena
Integrations — connecting to other tools — breadth and depth of built-in integrationsIntegrations
Connecting to other tools — breadth and depth of built-in integrations
Openness — open source, data portability, and self-hosting storiesOpenness
Open source, data portability, and self-hosting stories
Privacy cookieless — stories about privacy cookieless in this arenaPrivacy cookieless
Stories about privacy cookieless in this arena
Privacy posture — data-handling and privacy storiesPrivacy posture
Data-handling and privacy stories
Session replay — stories about session replay in this arenaSession replay
Stories about session replay in this arena
Warehouse sql — stories about warehouse sql in this arenaWarehouse sql
Stories about warehouse sql in this arena
Sorted by importance (agentic first) (high → low) · 53/53 stories · click a row’s chevron for the rationale and evidence
Drive the product through a documented public API G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 7/10 | Tprobed | |
Connect an agent via an official MCP server G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | none | 0/10 | ||
Delegate tasks to a built-in AI assistant inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | none | untested | none yet | |
Plug MCP servers into this product so it can use their tools G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | n/a | untested | none yet | |
Run the product headlessly / in CI for automation G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 6/10 | Tprobed | |
Issue scoped/least-privilege API credentials for an agent G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 5/10 | Cclaimed | |
Build against official SDKs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Download a machine-readable API spec (OpenAPI or equivalent) G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Explore an interactive API reference with runnable examples G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Operate the product with natural-language commands G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Point an agent at llms.txt or agent-oriented docs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Rely on versioned APIs with a documented deprecation policy G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Set up automations that run autonomously in the background G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Subscribe to events via webhooks G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Use an official CLI G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Get AI-generated insights and suggestions from my data inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Test against a sandbox environment without touching production data G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 1 | none | untested | none yet | |
Build multi-step funnels with filters and breakdowns to find where users drop off C Behavioral analysis | product-manager | Funnels retention — stories about funnels retention in this arenaFunnels retention | 3 | full | 8/10 | Xcommunity | |
Self-host the core product G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | fullfree | 8/10 | Xcommunity | |
Answer "which activation step loses users?" myself with funnels and drop-off analysis, without an analyst C Self serve insights | founder | Funnels retention — stories about funnels retention in this arenaFunnels retention | 3 | partial | 7/10 | Xcommunity | |
Export all of my data in open formats and leave G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | full | 7/10 | Xcommunity | |
Run analytical queries and pull raw event data back through a documented query/export API G Raw access | developer | Warehouse sql — stories about warehouse sql in this arenaWarehouse sql | 3 | partial | 6/10 | Tprobed | |
Have an agent answer growth questions from live product data by running queries through the API or MCP server C Ai analytics ops | ai-native user | Warehouse sql — stories about warehouse sql in this arenaWarehouse sql | 3 | partial | 4/10 | Tprobed | |
Have an agent build a dashboard of my key metrics end-to-end via the API or MCP server C Ai analytics ops | ai-native user | Dashboards reporting — stories about dashboards reporting in this arenaDashboards reporting | 3 | partial | 4/10 | Tprobed | |
Send events from web, mobile, and backend apps through official SDKs for the major languages and platforms G Instrumentation | developer | Event ingestion — stories about event ingestion in this arenaEvent ingestion | 3 | partial | 4/10 | Cclaimed | |
Define rules that trigger actions automatically on events G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 3 | none | 0/10 | ||
Measure retention over time and slice it by behavioral cohorts C Behavioral analysis | product-manager | Funnels retention — stories about funnels retention in this arenaFunnels retention | 3 | none | 0/10 | ||
Query my raw events with SQL (or an SQL-equivalent query language) inside the platform C Raw access | developer | Warehouse sql — stories about warehouse sql in this arenaWarehouse sql | 3 | none | 0/10 | ||
Watch recordings of real user sessions with sensitive input masked by default C Replay | product-manager | Session replay — stories about session replay in this arenaSession replay | 3 | n/a | 0/10 | ||
Prevent my data from being used to train AI models G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 3 | none | untested | none yet | |
Roll out features behind flags targeted by user properties, cohorts, and percentage rollouts C Feature flags | developer | Flags experiments — stories about flags experiments in this arenaFlags experiments | 3 | n/a | untested | none yet | |
Run A/B experiments with goal metrics and statistical significance reported on the results C Experimentation | product-manager | Flags experiments — stories about flags experiments in this arenaFlags experiments | 3 | none | untested | none yet | |
Track product usage without third-party cookies so I can minimize or avoid cookie consent banners C Privacy first analytics | founder | Privacy cookieless — stories about privacy cookieless in this arenaPrivacy cookieless | 2 | full | 9/10 | Xcommunity | |
Read the product's source under an open license G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | full | 8/10 | Xcommunity | |
Capture clicks, pageviews, and form interactions automatically without writing tracking code for each event C Instrumentation | product-manager | Event ingestion — stories about event ingestion in this arenaEvent ingestion | 2 | partial | 6/10 | Xcommunity | |
Choose where my data is stored (region/residency) G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | partialfree | 5/10 | Xcommunity | |
Control data retention and deletion G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | partial | 5/10 | Xcommunity | |
Explore the paths users actually take before or after a key event C Behavioral analysis | product-manager | Funnels retention — stories about funnels retention in this arenaFunnels retention | 2 | disputed | 5/10 | Dcontradicted | |
Compose saved insights into shareable dashboards for my team C Dashboards | product-manager | Dashboards reporting — stories about dashboards reporting in this arenaDashboards reporting | 2 | partial | 4/10 | Cclaimed | |
Do everything through the API that I can do in the UI G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | partial | 4/10 | Tprobed | |
Analyze behavior at the account or company level, not just per user, for B2B products C Behavioral analysis | product-manager | Funnels retention — stories about funnels retention in this arenaFunnels retention | 2 | none | 0/10 | ||
Create and manage dashboards and saved insights programmatically via the API C Dashboards | developer | Dashboards reporting — stories about dashboards reporting in this arenaDashboards reporting | 2 | none | 0/10 | ||
Identify users across devices and merge anonymous pre-signup activity into their identified profile C Identity | developer | Event ingestion — stories about event ingestion in this arenaEvent ingestion | 2 | none | 0/10 | ||
Jump from a funnel drop-off or an error event straight to session replays of the affected users C Replay | product-manager | Session replay — stories about session replay in this arenaSession replay | 2 | n/a | 0/10 | ||
Perform bulk operations across many items at once G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | none | 0/10 | ||
Stream events onward to third-party destinations (CRM, ad platforms, webhooks) from the analytics platform G Destinations | developer | Integrations — connecting to other tools — breadth and depth of built-in integrationsIntegrations | 2 | none | 0/10 | ||
Sync events between the platform and my own data warehouse (query warehouse tables in-product or export events continuously to it) G Warehouse | developer | Warehouse sql — stories about warehouse sql in this arenaWarehouse sql | 2 | none | 0/10 | ||
Have an agent create, target, and toggle feature flags through the API or MCP server C Ai analytics ops | ai-native user | Flags experiments — stories about flags experiments in this arenaFlags experiments | 2 | n/a | untested | none yet | |
Opt out of telemetry and usage tracking G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Schedule recurring jobs or workflows G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | none | untested | none yet | |
Bulk-import historical events from another analytics tool or a data export into the platform G Identity | developer | Event ingestion — stories about event ingestion in this arenaEvent ingestion | 1 | full | 7/10 | Xcommunity | |
Subscribe to dashboards and get alerted when a key metric moves abnormally C Dashboards | product-manager | Dashboards reporting — stories about dashboards reporting in this arenaDashboards reporting | 1 | partial | 6/10 | Cclaimed | |
Version, review, and roll back my automations G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 1 | n/a | untested | none yet |
Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 39 stories with headroom
What would move Plausible Analytics’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.
Agenticness — how well agents can access and operate the productDelegate tasks to a built-in AI assistant inside the product
nonemoves Built-in AIimpact 45
Missing: any built-in AI assistant, agentic chat interface, or task-delegation feature.
Agenticness — how well agents can access and operate the productConnect an agent via an official MCP server
nonemoves agent-readyimpact 45
Plausible is a SaaS analytics product, so an official MCP server is a plausible ecosystem offering, but no evidence pack item mentions MCP, an agent integration, or any AI-agent connector; probes confirm no llms.txt/openapi discoverability either.
Flags experiments — stories about flags experiments in this arenaRun A/B experiments with goal metrics and statistical significance reported on the results
nonemoves PA Scoreimpact 30
Plausible is a privacy-focused web analytics tool offering goals, funnels, and traffic stats, but there is no evidence of any A/B testing/experimentation feature, variant assignment, or statistical significance reporting on results.
Automation depth — how much of the product can run unattendedDefine rules that trigger actions automatically on events
nonemoves PA Scoreimpact 30
Missing: rule definition UI/API, conditional trigger logic, automated action execution beyond static notifications.
Privacy posture — data-handling and privacy storiesPrevent my data from being used to train AI models
nonemoves PA Scoreimpact 30
The evidence pack covers Plausible's privacy stance on cookies, consent banners, and personal data collection, but nowhere does it address whether collected data is used to train AI models or how a user could opt out of such use.
Funnels retention — stories about funnels retention in this arenaMeasure retention over time and slice it by behavioral cohorts
nonemoves PA Scoreimpact 30
Plausible's docs describe funnels, goals, and dashboard filters/segments, but there is no evidence of retention curves, cohort definitions, or cohort-based behavioral analysis over time.
Warehouse sql — stories about warehouse sql in this arenaQuery my raw events with SQL (or an SQL-equivalent query language) inside the platform
nonemoves PA Scoreimpact 30
Missing: sQL/SQL-equivalent query language, raw event-level query access, in-platform query editor.
Agenticness — how well agents can access and operate the productPoint an agent at llms.txt or agent-oriented docs
nonemoves agent-readyimpact 30
Probes explicitly show llms.txt, docs.md, and OpenAPI endpoints all return 404, indicating no agent-oriented documentation is exposed at expected locations, and no other evidence mentions llms.txt or agent-readable docs.
Showing the top 8 of 39 — every none/partial verdict in the story verdicts table is headroom.
Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.
Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map8 surfaces · 21 covered stories
Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.
docs16 stories
- Run the product headlessly / in CI for automation
- Drive the product through a documented public API
- Issue scoped/least-privilege API credentials for an agent
- Have an agent build a dashboard of my key metrics end-to-end via the API or MCP server
- Compose saved insights into shareable dashboards for my team
- Subscribe to dashboards and get alerted when a key metric moves abnormally
- Bulk-import historical events from another analytics tool or a data export into the platform
- Send events from web, mobile, and backend apps through official SDKs for the major languages and platforms
- Build multi-step funnels with filters and breakdowns to find where users drop off
- Explore the paths users actually take before or after a key event
- Answer "which activation step loses users?" myself with funnels and drop-off analysis, without an analyst
- Do everything through the API that I can do in the UI
- Export all of my data in open formats and leave
- Control data retention and deletion
- Have an agent answer growth questions from live product data by running queries through the API or MCP server
- Run analytical queries and pull raw event data back through a documented query/export API
Hacker News11 stories
- Bulk-import historical events from another analytics tool or a data export into the platform
- Capture clicks, pageviews, and form interactions automatically without writing tracking code for each event
- Build multi-step funnels with filters and breakdowns to find where users drop off
- Explore the paths users actually take before or after a key event
- Answer "which activation step loses users?" myself with funnels and drop-off analysis, without an analyst
- Export all of my data in open formats and leave
- Read the product's source under an open license
- Self-host the core product
- Track product usage without third-party cookies so I can minimize or avoid cookie consent banners
- Choose where my data is stored (region/residency)
- Control data retention and deletion
GitHub README7 stories
- Compose saved insights into shareable dashboards for my team
- Subscribe to dashboards and get alerted when a key metric moves abnormally
- Bulk-import historical events from another analytics tool or a data export into the platform
- Export all of my data in open formats and leave
- Read the product's source under an open license
- Self-host the core product
- Choose where my data is stored (region/residency)
OpenAPI spec6 stories
- Run the product headlessly / in CI for automation
- Drive the product through a documented public API
- Have an agent build a dashboard of my key metrics end-to-end via the API or MCP server
- Do everything through the API that I can do in the UI
- Have an agent answer growth questions from live product data by running queries through the API or MCP server
- Run analytical queries and pull raw event data back through a documented query/export API
plausible.io5 stories
- Bulk-import historical events from another analytics tool or a data export into the platform
- Capture clicks, pageviews, and form interactions automatically without writing tracking code for each event
- Build multi-step funnels with filters and breakdowns to find where users drop off
- Explore the paths users actually take before or after a key event
- Answer "which activation step loses users?" myself with funnels and drop-off analysis, without an analyst
llms.txt2 stories
Data policy docs2 stories
Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence
8 of 13 testable claims verified · 2 contradicted → integrity 31/100
45 distinct capability claims found in Plausible Analytics’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.
8
Verified
3
Unverified
2
Contradicted
9
Undersold
Verified (15)
“Events API can record pageviews and custom events, useful for mobile apps or server-side tracking”
Drive the product through a documented public APIfullproof ↗
“Guide for self-hosting the Community Edition of the product”
“Stats API is a read-only HTTP interface for historical and real-time stats”
Run analytical queries and pull raw event data back through a documented query/export APIpartialproof ↗
“Funnel analysis lets you define steps and measure completion/drop-off to improve conversion”
Build multi-step funnels with filters and breakdowns to find where users drop offfullproof ↗
“Can import historical data from Google Analytics”
Bulk-import historical events from another analytics tool or a data export into the platformfullproof ↗
“Supports campaign tracking and Search Console integration alongside GA import”
Bulk-import historical events from another analytics tool or a data export into the platformfullproof ↗
“Query API (/api/v2/query) accepts simple and complex stats queries via POST and returns JSON”
Run analytical queries and pull raw event data back through a documented query/export APIpartialproof ↗
“Scroll depth (1-100%) is tracked automatically on every page with no setup or tag manager needed”
Capture clicks, pageviews, and form interactions automatically without writing tracking code for each eventpartialproof ↗
“Collects no personal data and requires no consent banner, treating every recorded visit as real”
Track product usage without third-party cookies so I can minimize or avoid cookie consent bannersfullproof ↗
“Scroll depth goals can be created without writing any code”
Build multi-step funnels with filters and breakdowns to find where users drop offfullproof ↗
“Any page can become a goal; automatically tracks file downloads, form completions, and external link clicks; supports custom events and revenue tracking”
Capture clicks, pageviews, and form interactions automatically without writing tracking code for each eventpartialproof ↗
“Can measure drop-off across a fixed sequence of steps or explore paths visitors actually take”
Build multi-step funnels with filters and breakdowns to find where users drop offfullproof ↗
“Two funnel types available: sequential (flexible order) or strict order (exact consecutive steps)”
Build multi-step funnels with filters and breakdowns to find where users drop offfullproof ↗
“Can import stats data via CSV”
Bulk-import historical events from another analytics tool or a data export into the platformfullproof ↗
“Can export your analytics data for download”
Unverified (6)
“Events API can record pageviews and custom events, useful for mobile apps or server-side tracking”
Send events from web, mobile, and backend apps through official SDKs for the major languages and platformspartialproof ↗
“API keys are scoped to a single team, limiting which sites they can query”
Issue scoped/least-privilege API credentials for an agentpartialproof ↗
“Tracking script can be added directly to a site”
Send events from web, mobile, and backend apps through official SDKs for the major languages and platformspartialproof ↗
“Works with modern JS frameworks and SPAs out of the box, including pushState and hash-based routing”
Send events from web, mobile, and backend apps through official SDKs for the major languages and platformspartialproof ↗
“Traffic spike notifications alert you when traffic spikes”
Subscribe to dashboards and get alerted when a key metric moves abnormallypartialproof ↗
“Weekly or monthly reports via email or Slack, including traffic spike/drop notifications”
Subscribe to dashboards and get alerted when a key metric moves abnormallypartialproof ↗
Contradicted (5)
“Can measure drop-off across a fixed sequence of steps or explore paths visitors actually take”
Explore the paths users actually take before or after a key eventdisputedproof ↗
“Scheduled email reports delivered to your inbox”
“Reports can be sent to a Slack channel”
“Weekly or monthly reports via email or Slack, including traffic spike/drop notifications”
“User journeys feature lets you explore the paths visitors take on your site”
Explore the paths users actually take before or after a key eventdisputedproof ↗
Undersold (9)
Run the product headlessly / in CI for automationpartialproof ↗
Have an agent build a dashboard of my key metrics end-to-end via the API or MCP serverpartialproof ↗
Compose saved insights into shareable dashboards for my teampartialproof ↗
Answer "which activation step loses users?" myself with funnels and drop-off analysis, without an analystpartialproof ↗
Do everything through the API that I can do in the UIpartialproof ↗
Choose where my data is stored (region/residency)partialproof ↗
Have an agent answer growth questions from live product data by running queries through the API or MCP serverpartialproof ↗
Claims outside our story set (22)
Real capability claims found in Plausible Analytics’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.
“Can be deployed via Google Tag Manager without editing site code”
source ↗“Dashboard supports previous period, year-over-year, and custom period comparisons”
source ↗“Dashboard can be filtered by multiple sources, countries, pages, and more simultaneously”
source ↗“Can add annotations to charts to mark events like deployments, campaigns, or outages”
source ↗“Consolidated view lets you see all your sites in one dashboard”
source ↗“Real-time dashboard shows live current visitors and activity”
source ↗“Dashboard appearance supports light mode, dark mode, and more”
source ↗“Can track which AI tools (ChatGPT, Perplexity, Claude) send traffic and see their conversions”
source ↗“Can embed the analytics dashboard on any external page”
source ↗“Can be installed via a WordPress plugin”
source ↗“Single dashboard page shows visitors, sources, pages, countries, devices, goals, and revenue attribution”
source ↗“Filters and segments allow drilling into any slice of traffic data”
source ↗“Compare periods feature benchmarks current stats against previous time ranges”
source ↗“Annotations let you mark events like deployments or campaigns directly on the chart”
source ↗“Real-time dashboard gives a live view of current visitors”
source ↗“Search Console integration surfaces search queries and organic performance in the dashboard”
source ↗“UTM campaign tracking with automatic channel grouping (e.g. Paid Search, Affiliates)”
source ↗“Chart time-grouping unit (e.g. day/week/month) can be changed via options menu”
source ↗“Clicking any report entry filters the whole dashboard by that value”
source ↗“Single Sign-On (SSO) support for Google Workspace, Microsoft Entra, and Okta”
source ↗“Shared links let you share the dashboard publicly or with specific people”
source ↗“Role-based access invites for team members alongside public/shared dashboard links”
source ↗
Business model
Paid cloud subscription tiered by monthly pageviews (30-day free trial, no free cloud tier); the AGPL community edition can be self-hosted for free.
pricing ↗Score trend
How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.
Flag
⚑ Flag a verdictThink a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.
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