Your Analytics Knows When The Problem Is Not You

Every dashboard shows you that traffic dropped. Almost none of them tell you why. So you spend the afternoon suspecting your own code, your own SEO, your own funnel, when the real cause was Cloudflare degrading in your region, a Google core update rolling out, or your payment provider having a bad hour. A movement without a cause is a mystery you have to solve by hand. Datalenk watches the ecosystem around your site so that most of those mysteries arrive already explained.

None of this is noise you have to sift through. Every source below is matched to your site first: a Paddle outage only appears if you actually charge through Paddle, a Reddit incident only if Reddit actually sends you traffic. You see the ones that can move your curve, and not the forty that cannot.

The services your site depends on

Around forty official status pages, polled every fifteen minutes: payment processors (Stripe, Paddle, Lemon Squeezy and more), hosting and PaaS (Vercel, Railway, Render, Fly, AWS, and others), CDNs, email providers, store builders, and the AI platforms. An incident is stored once, then shown only to the sites it concerns. How we decide it concerns you: your connected integrations, the stack we detect on your site, the third-party services your visitors' browsers actually load, and the channels that actually send you traffic. A checkout outage is the cleanest signal we have: revenue drops to zero while traffic stays flat, which is exactly the shape only a revenue-first analytics can read.

Google, in its own words

Google publishes its search status: core updates with their real start and end dates, indexing incidents, plus Ads, Workspace and Play. When your SEO moves the same week an update is rolling out, that update sits as a band on your chart instead of a shrug.

Internet outages, by country

Country-level internet blackouts, crossed with where your traffic actually comes from. A drop that traces back to an outage in a specific country stops looking like your fault, and starts looking like the map it is. You only see an outage in a country that is a real share of your visits.

The Datalenk network signal

Here is one thing no single status page can give you. When payments stop at the same moment across several unrelated Datalenk sites that use the same processor, that is the processor, and Datalenk can surface it before the official status page reflects it. This runs on aggregated, anonymous counts only: it never shows one customer's numbers to another, and it stays quiet unless the signal is strong enough to mean something.

Your own site, watched continuously

Is it up. Is the robots.txt healthy, the sitemap intact, the SSL certificate valid. Is it getting slower for real visitors (measured on real Chrome users, not a lab test). Are JavaScript errors spiking. Did a third-party script (a chat widget, a popup, an A/B test) appear months after launch. Is the robots.txt quietly blocking the AI answer engines. Each of these is the kind of thing that moves a number and never announces itself.

Your competitors and the wider world

The competitors you name (their prices, pages, changelogs) and the events of the world: elections, major sport, severe weather, holidays, filtered down to the handful per month that are relevant to your country and your kind of site.

What happens after we detect it

Detection is only useful if it lands somewhere you will see it. Three things happen. The event appears on your traffic chart, as a flag or a band, with its source named. The movements engine can offer it as a candidate the next time a number moves: your visits dropped, and here is what changed around that day. And once an outage is over, Datalenk estimates what it cost, honestly: for a payment outage it reads like $A collected during this window vs about $E typical, and when there was no visible dent it says so, because ruling a cause out is worth as much as pinning one down.

The point is not to watch everything for its own sake. It is that the next time your dashboard moves and you feel that flash of it must be me, the answer is often already sitting there, and it often is not you.