Overview
GeckoStats is a web analytics service built around one question: which traffic actually produces paying customers. Instead of reporting pageviews and sessions in isolation, it links individual visitors to the payments they make and then places that money beside the source, campaign, page or search query responsible. The product markets itself as a privacy-friendly Google Analytics alternative, yet its real argument is narrower and sharper than the crowded privacy-first analytics category: attribution to revenue rather than attribution to traffic.
The audience is equally specific. Founders of small software businesses, newsletter operators, creators who sell through tagged links, and developers who want their own numbers exposed to an AI agent. All of them sell something, which matters because GeckoStats derives most of its value from payment webhooks. A blog that never transacts would still get clean dashboards, but it would not get the feature the product is named for.
The competitive set is well defined and the company is not shy about it. Public comparison pages exist for Plausible, Fathom, Google Analytics, DataFast, Simple Analytics and Umami, each framed as a head to head that names what the other product does better. That posture signals confidence in a specific wedge. Where most lightweight analytics tools stop at traffic, GeckoStats continues into transactions, subscriptions and lifetime value by channel.
The secondary thesis is unusual for a tool of this size. GeckoStats ships a Model Context Protocol server so that Claude, ChatGPT, Cursor, Gemini CLI and other agents can read the same dashboard numbers directly. Combined with crawler level tracking of GPTBot, ClaudeBot and PerplexityBot, the positioning suggests a company betting that the next analytics buyer is as interested in agent readable data as in human readable charts.
Key Features
Revenue attribution across every channel. The core loop connects a payment provider through a webhook, carries a visitor identifier into checkout, and returns it with the transaction. The dashboard then ranks channels, referrers, campaigns and landing pages by money rather than by volume. A demo account shows organic social as the top channel with $3,120 against 2,412 visitors, while direct traffic with fewer visitors earns less, which is exactly the inversion that traditional analytics hides.
Customer journey profiles. Opening any customer reveals a timeline from first touch to payment. The profile card lists first source, number of visits, total spent and time to first payment, followed by a chronological list of sessions with pages, goal events and the final transaction. Each session carries its own referrer and campaign tag, so a visitor who arrives from a tweet, disappears for eight days and returns directly still has the original source credited.
Search Console integrated with revenue. After a one-time connection, every query a site ranks for is displayed with clicks, average position and an apportioned revenue figure. The list sorts by what a query earns rather than by impression volume. GeckoStats marks these values with an approximation symbol because Google never ties a query to a person, an honesty detail that separates it from tools that present estimates as facts.
AI crawler visibility. Because a crawler does not execute JavaScript, a tracking script cannot observe it. GeckoStats solves this with server-side reporting that records which AI agents read which pages, then compares that reading activity against the visitors and revenue the same services returned. The interface presents a read versus sent back table for ChatGPT, Claude, Perplexity and Gemini.
Live globe and event feed. A real-time map shows everyone on the site at that moment, alongside a streaming feed of pageviews, goals and payments as they land. The feed annotates events with geography and origin, and the company notes that sound can be enabled so each sale is audible. It is a small flourish, but it makes the dashboard feel closer to a trading terminal than a report.
MCP server with 26 tools. The agent layer exposes overview, sources, pages, goals, funnels, customers, search queries, releases and the live view through a documented MCP endpoint. Keys are issued per website and can be revoked at any time, and the tools are read-only unless configured otherwise. Installation is a single command for Claude Code or a connector entry for ChatGPT and Claude.
Supporting infrastructure. Beyond the headline features, the product includes goals and funnels with step-by-step drop-off, one-click filters that propagate across the whole dashboard, subscription and MRR reporting by source, retention cohorts, release markers fired by a curl command at the end of a deploy, PNG export of any period, and alerts for tracking failures, revenue drops or deindexed pages. The tracker itself is 6.6 KB gzipped with no dependencies.
How It Works
Onboarding follows the standard script-driven model. An account is created, a website is added, and a small JavaScript snippet is placed on the site. For teams worried about ad blockers, the script can be served from the site's own domain through a one-line rewrite, which hides it from blocklists. Because the tracker writes no cookies and stores no IP addresses, most deployments need no consent banner. A visitor is represented by a salted hash of IP, user agent and site that rotates daily.
The second step is where GeckoStats diverges from lighter competitors. A payment provider is connected, with Stripe, Dodo Payments, Polar and Creem supported out of the box through a single webhook each, and any other provider accepted through an API call that supplies an amount and a visitor identifier. A Search Console connection is optional but unlocks the query level revenue view.
The third step is optional and increasingly central. An MCP key is generated per site and handed to an AI client. From that point an agent can answer questions about traffic, revenue, search and funnels using the same read path the dashboard uses, which the company describes as a single source rather than a copy.
Daily use is drill-down oriented. The overview shows visitors and revenue as two overlaid series, with the visitor line in blue and revenue in orange, so the relationship between the two is visible at a glance. Clicking any row in a table, whether a channel, country, campaign or query, filters the entire dashboard to that segment. Attribution fallbacks are documented and applied in a stated order: the visitor identifier in checkout, then the return page, then the customer's earlier payments, then an identify call on an email, and finally checkout timing. The dashboard reports which method matched. Anyone who wants to inspect the interface before signing up can open the live demo, which is populated with clearly labelled sample data.
Use Cases
A solo founder selling a small SaaS. The founder writes a launch post, sends a newsletter and posts on social. Because each link carries a campaign tag, GeckoStats reports that the tweet drove 612 visitors and $497 while a podcast mention drove 94 visitors and nothing. The decision that follows is mundane but valuable: write more tweets, skip the podcast.
A newsletter operator with a paid tier. Every issue gets a tagged link. When subscribers convert two weeks after reading, the original issue still receives credit because the attribution window reaches back to the last visit from a real source. The operator can rank issues by revenue rather than by open rate.
A content marketer at a small B2B company. Search Console data arrives with revenue attached, so queries with modest volume but high commercial intent rise to the top of the content roadmap. Queries that lose clicks at an unchanged position surface as separate alerts, turning SEO reporting into a monitoring task rather than a monthly spreadsheet exercise.
A developer working inside an editor. With the MCP server configured, questions about last week's traffic or the best performing page can be asked from Cursor or Claude Code without switching tabs. The same 26 tools serve every supported client, which keeps the workflow consistent across environments.
A small agency managing client sites. The Growth tier allows up to 30 sites and 30 seats, which suits a studio that wants a single billing relationship and shared access. Client reporting benefits from the PNG export, since a rendered chart drawn from real numbers looks better than a screenshot.
Pricing & Value
Pricing is organized around monthly event volume rather than around seat tricks. Two plans exist, both of which include every feature, every provider connection, the MCP server and Search Console. Starter costs $17 per month for 100,000 events, one site and a single user. Growth costs $35 per month for the same 100,000 events but raises the ceiling to 30 sites and 30 team members. A slider extends the volume ladder from 25,000 to 10 million events, and annual billing carries a stated 17 percent discount. The marketing copy on the homepage advertises entry pricing from $9 per month, which corresponds to a lower rung on that ladder than the 100,000 event tier shown by default on the pricing page.
Every plan begins with a seven-day free trial, with no commitment and cancellation at any point. An event is defined as a pageview, a goal or a payment, while crawler hits are counted separately and do not consume quota. Overage is handled softly: counting continues, a note suggests the next tier, and only two consecutive over-quota months prompt a request to upgrade. Against the field, the pricing sits mid-market. It is more expensive than the entry tiers of several minimal privacy analytics tools and cheaper than full product analytics suites, which is a reasonable match for a product carrying attribution, funnels, subscriptions and an agent interface in the base tier. Teams evaluating alternatives will find the company's own head to head write-ups genuinely useful, particularly its comparison pages that acknowledge competitor strengths.
Final Verdict
GeckoStats is a focused product with a clear thesis and the engineering to support it. The revenue attribution loop is well documented, including the fallback order used when a visitor identifier is missing, and the willingness to mark estimates as estimates is a credible signal. The MCP server and crawler reporting give it a defensible modern edge that most competitors in the privacy analytics bracket have not shipped. Setup appears genuinely lightweight: one script, one webhook, one optional Search Console connection.
The trade-offs are equally clear. There is no permanent free tier, so hobby projects and personal blogs are better served elsewhere. The value proposition collapses for sites that never sell anything, since the central feature has nothing to attach to. Some of the supporting integrations, such as the generic payment API described in the Stripe integration notes and its siblings, assume a developer is available to wire things up.
Founders, newsletter operators and small teams selling software or subscriptions should treat GeckoStats as a serious candidate, especially if they already suspect that traffic volume and revenue are telling different stories. Content publishers with no commerce layer, and teams that need deep product analytics such as event funnels across mobile apps, should look at lighter or broader tools respectively.
