GeckoStats is privacy-friendly web analytics that credits every payment to the traffic source, campaign, search query, or AI chat that produced it.
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Get ListedGeckoStats is a web analytics service that measures money rather than traffic volume. Each session is followed from the first click to the payment, and the dashboard places a currency figure beside every channel, referrer, campaign, landing page and search query. That framing separates it from conventional analytics tools, which report visitors and bounce rates but leave the connection to income for a spreadsheet built by hand.
The product targets three audiences named on its homepage. Founders selling a subscription want to know which launch post converted. Creators and newsletter authors want one tagged link per issue, so a sale completed two weeks later still credits the right article. Developers and AI agents receive a REST API and an MCP server over the same data. The competitive field includes Plausible, Fathom, Simple Analytics, Umami, DataFast and Google Analytics, and GeckoStats publishes head-to-head comparison pages against each of them, including a direct comparison with Plausible.
Privacy is handled without a consent banner by default. No cookies are set, a visitor is represented by a salted hash of IP address, user agent and site that rotates every day, and the raw IP is never written to storage. The tracking script weighs 6.6 KB gzipped and carries no dependencies, so it loads after the page without blocking rendering.
Pricing begins at 17 US dollars a month for a single site, with seven free days on every plan and no long-term commitment. A yearly option removes roughly 17 percent from the monthly rate. The overall positioning is deliberately narrow: this is not a general purpose marketing cloud, it is a measurement layer for people who sell something online and want to know which activity paid.
Revenue attribution across four payment providers. Stripe, Dodo Payments, Polar and Creem each connect through a single webhook, and any other provider can report a payment with one API call carrying an amount and a visitor identifier. When a checkout returns without a matching visitor id, the system falls back through the return page, the customer's earlier payments, an email passed to an identify call and finally checkout timing. The dashboard states which method matched, so the credit is auditable rather than opaque.
Customer journey profiles. Opening a customer record reveals first source, total visit count, total spent, time to first payment, device type, operating system, browser and city. Below that sits a chronological timeline of every session, each listing pages viewed, goals triggered and payments recorded. A typical profile shows three visits across eight days before a 49 dollar payment, with the opening session attributed to X / Twitter and a tagged launch campaign.
Search Console with revenue per query. A one-time Google connection imports every query, page and country the site ranks for. Queries are ordered by the money their landing pages earned rather than by impressions or position. Because Google never ties a query to an individual, these values appear with an approximation mark. The integration also surfaces queries losing clicks at an unchanged position and what Google's index says about pages that earn.
AI crawler visibility. A server-side component reports what GPTBot, ClaudeBot, PerplexityBot and Gemini actually read, since a JavaScript tracker cannot observe a crawler that runs no scripts. The dashboard compares pages read against the visitors and revenue each AI service later sent back, producing a read versus returned table per agent.
Live globe and event feed. A real-time map shows everyone on the site at that moment, alongside a feed of pageviews, goals and payments as they land. An optional sound plays on each sale, which suits a founder watching a launch unfold.
MCP server for AI agents. Twenty-six read-only tools cover overview, sources, pages, campaigns, goals, funnels, customers, search queries, releases and the live view. One command adds the server to Claude Code, while connectors exist for ChatGPT, Claude, Cursor, Gemini CLI, Grok, Hermes and GrokBot. Keys are issued per website and can be rotated or revoked from settings, and agents cannot change configuration or delete records.
Supporting toolkit. Goals and step-by-step funnels show drop-off between a click and a signup. One-click filters propagate across the whole dashboard, so selecting a country narrows every chart. MRR, churn and lifetime value break down by source. Alerts fire when tracking stops, revenue drops, organic clicks fall, a page is deindexed or a query slips five places. Release markers are written with a curl command at deploy time so a traffic dip can be read against what shipped. Weekly retention cohorts, Core Web Vitals and a share-as-image export round out the set.
Setup starts with creating a site inside the dashboard and pasting a script snippet, which can also be served from the customer's own domain through a one-line rewrite so ad blockers do not detect it. The next step is a payment provider. Connecting Stripe, Polar, Dodo Payments or Creem registers the webhook that pulls transactions back into the analytics database. Search Console is authorised once. After that the dashboard begins filling, and the live demo shows the resulting layout with sample data clearly marked as demo data.
Daily use is mostly reading. The overview pairs a blue visitors line with an orange revenue line, so a spike in one can be matched against the other. Clicking a channel row filters the entire dashboard to that channel, and the same behaviour applies to countries, referrers, campaigns and pages. A campaigns table lists tagged links by name with visitors and revenue, which is where a single tweet, newsletter issue or podcast episode becomes measurable rather than anecdotal.
For teams working with agents, the final step is issuing an API key per site and adding the MCP endpoint to a client. The agent then answers questions in natural language using the same query path as the interface, so a figure quoted in chat matches the figure on screen. Data leaves the platform only when a specific question is asked, and the key can be revoked at any time.
Analysts who prefer a conventional layout can toggle to a classic analytics view, so the revenue-first framing does not remove the basics. Alerts and release markers complete the loop by turning the dashboard from a report into a monitoring tool.
A solo SaaS founder evaluating launch channels. After shipping a product, the founder posts on X, submits to Product Hunt and sends a newsletter. The campaigns view shows the launch tweet produced 612 visitors and 497 dollars, the newsletter 388 visitors and 245 dollars, while an Instagram reel pulled 1,120 visitors for 98 dollars. The following month's effort shifts toward the channels with revenue density.
A newsletter writer with a long consideration cycle. A reader opens issue 42, reads a blog post three days later, returns directly two weeks after that and finally pays. Because credit goes to the last visit that came from a real source, the newsletter issue keeps the sale and the revenue is not silently reassigned to a direct visit.
A developer wiring analytics into an AI workflow. An engineering team adds the MCP server to Claude Code and asks which landing page produced the most revenue last quarter. The agent queries the same tables as the dashboard, so the answer matches the interface without an export step or a CSV.
A content marketer defending an SEO budget. Search Console data prices each ranking query. A term with modest volume but steady revenue outranks a high-volume, zero-revenue keyword, giving a defensible basis for deciding which pages deserve another update and which can be left alone.
A privacy-conscious European business. With no cookies set by default and no raw IP storage, the site avoids a consent banner and keeps its legal exposure low, while the 6.6 KB payload protects page speed scores. Payments are still recorded through webhooks even when a visitor blocks the script entirely.
Two tiers, both carrying a seven day free trial and no commitment. Starter costs 17 dollars a month for one site and a single user. Growth costs 35 dollars a month and raises the ceiling to 30 sites and 30 team seats. Both share one event ladder controlled by a slider from 25,000 to 10 million events a month, and both include every payment provider, Search Console, funnels, retention, alerts, the live globe and the MCP server. Yearly billing removes roughly 17 percent.
An event is a pageview, a chosen goal or a payment. Crawler hits are counted separately and do not consume quota, which matters for sites attracting substantial AI traffic. Exceeding the plan is not penalised. Counting continues, a note recommends the next tier, and a firmer request arrives after two consecutive overage months.
Against Plausible and Fathom the entry price is comparable or marginally higher, yet neither competitor ships payment attribution or an agent server at that level. Full breakdowns sit on the pricing page.
GeckoStats is a focused product with a clear thesis: traffic is only interesting once it has been priced. Execution is strongest in three places, namely payment attribution that documents its own matching logic, a Search Console integration ranked by revenue rather than volume, and an MCP server exposing genuine dashboard numbers to agents instead of a stale export. The cookieless default and the small script keep the privacy and performance claims credible.
Weaknesses are structural rather than accidental. One site and one seat on Starter pushes any growing team to the 35 dollar tier immediately. Revenue depends on webhook coverage, so a provider without an integration needs custom work. Search query revenue remains an apportioned estimate, labelled as such, which is honest but less precise than payment-level attribution. The Stripe integration page demonstrates how small the setup burden is, and also how central that dependency remains.
Founders, newsletter operators and small marketing teams selling online will find value quickly. Enterprises needing warehouse exports, custom retention rules or a vendor with a long audit history should look at larger suites. Anyone who only wants pageview counts will be paying for capability that never gets used.
