Over the last 90 days, Triple Whale recorded 99.98% uptime with 1 major/critical incident and 20 minutes of total downtime, while Northbeam and Google Analytics both recorded 100.0% uptime with 0 major/critical incidents and zero minutes down. In practical terms the gap between the three attribution and analytics tools is one 20 minute window on October 2, 2026, which is a rounding error next to what the rest of an e-commerce stack did in the same period.
StatusBird checks each of the services it tracks every 2 minutes, and every figure below comes from those readings over the 90 days ending October 20, 2026. The full method is written up at statusbird.io/methodology.
What do the 90-day numbers say?
| Service | 90-day uptime | Grade | Major/critical incidents | Total downtime | Average incident | Last incident |
|---|---|---|---|---|---|---|
| Google Analytics | 100.0% | A+ | 0 | 0 min | 0 min | None in window |
| Northbeam | 100.0% | A+ | 0 | 0 min | 0 min | None in window |
| Triple Whale | 99.98% | A+ | 1 | 20 min | 20 min | October 2, 2026 |
All three hold an A+ grade. Northbeam and Google Analytics produced no non-operational readings at all in the window, so there is nothing to compare on incident length for them. Triple Whale's single incident is the only measurable difference, and it lasted 20 minutes from start to recovery.
You can see the live state and the running history for each at statusbird.io/status/triple-whale, statusbird.io/reliability/northbeam, and statusbird.io/reliability/google-analytics.
What actually happened on October 2?
The Triple Whale incident started at 21:50 UTC on October 2, 2026 and recovered at 22:10 UTC, for a total of 20 minutes. Two minutes earlier, at 21:48 UTC, Cloudflare went non-operational for 12 minutes and recovered at 22:00 UTC. The two windows overlap almost exactly at the start.
StatusBird measures reachability and status from the outside, so it cannot attribute cause. What it can show is that the Triple Whale reading and the Cloudflare reading moved together that evening, and that is worth knowing if you are deciding where to point the blame the next time a dashboard stops loading. The same logic applies in reverse: Cloudflare's 90-day uptime is 83.36%, by far the weakest figure in the monitored set, so an infrastructure wobble is a plausible first suspect for any tool that sits behind it. Cloudflare's current reading is at statusbird.io/status/cloudflare.
Does 20 minutes of analytics downtime cost a store anything?
Not in orders. None of these three tools sits in the checkout path. If Triple Whale is unreachable for 20 minutes, customers still add to cart, still pay, and still get confirmation emails. What stops is your view of what is happening.
That matters in exactly two situations:
- Live budget decisions. If you scale or kill ad sets off a blended ROAS dashboard during a flash sale or a Black Friday hour, 20 minutes without numbers is 20 minutes of flying blind on spend that is still going out.
- Data gaps you later have to explain. A gap in a dashboard looks identical whether it is the vendor, your pixel, or your tag setup. Having an independent record that the vendor was non-operational from 21:50 to 22:10 UTC saves an afternoon of debugging your own container.
For a store that reviews attribution weekly rather than hourly, the difference between 100.0% and 99.98% over 90 days is not a reason to switch tools. Pick on attribution model, data retention, and cost instead.
How does this category compare with the rest of your stack?
Across every service StatusBird tracked in the 90-day window there were 46 major or critical incidents. One of them belongs to this category. For contrast, Shippo recorded 98.6% uptime with 13 major/critical incidents and 1808 minutes of downtime over the same period, and Plaid recorded 98.87% with an average incident length of 486 minutes.
| Service | Category | 90-day uptime | Total downtime |
|---|---|---|---|
| Cloudflare | Infrastructure | 83.36% | 21524 min |
| Shippo | Shipping | 98.6% | 1808 min |
| Plaid | Payments | 98.87% | 1460 min |
| Shopify | E-commerce | 99.9% | 124 min |
| Triple Whale | Analytics | 99.98% | 20 min |
| Northbeam | Analytics | 100.0% | 0 min |
| Google Analytics | Analytics | 100.0% | 0 min |
Read that table before you spend an evening comparing analytics vendors on reliability. The monthly index tells the same story: September 2026 saw 11 major/critical incidents and 12.6 hours of combined downtime across 7 affected services, with ShipStation the most affected. Analytics was not where the hours went. The full monthly breakdown is at statusbird.io/reports/outage-index.
Which store should care about the difference?
Three concrete cases:
- You run paid media in-house with hourly checks. Northbeam's 0 incidents and Google Analytics' 0 incidents over 90 days mean neither interrupted a mid-flight decision in that window. Triple Whale interrupted one, for 20 minutes.
- You are an agency reporting to clients on a fixed schedule. A 20 minute gap does not change a monthly report. Stop optimising for this and optimise for the services that cost orders, starting with whatever payment and shipping tools you depend on.
- You feed a warehouse or internal BI job from an analytics API. A scheduled pull that fires inside a 20 minute non-operational window fails silently. Set the job to retry rather than switching vendors.
What should you actually set up?
Concrete steps, in order:
- Put an alert on the analytics tool you make spend decisions with, and route it to email rather than SMS. A 20 minute dashboard outage does not justify waking anyone.
- Put SMS or phone-grade alerting on the services with real downtime behind them instead. On the 90-day numbers that means payments and shipping first.
- When a dashboard goes blank, check the vendor's StatusBird page and Cloudflare's together before you open your tag manager. The October 2 overlap shows why.
- Record the UTC start and recovery times of any gap you see, so you can match reporting discrepancies to a measured window later.
If you want to be told when one of these goes non-operational instead of noticing a blank chart, StatusBird watches them every 2 minutes and sends SMS, email, Slack, Teams, or Discord alerts. You can set it up at statusbird.io/register.
FAQ
Which analytics tool had the best uptime over the last 90 days?
Northbeam and Google Analytics tied at 100.0% uptime with 0 major/critical incidents each. Triple Whale came in at 99.98% with 1 major/critical incident and 20 minutes of total downtime.
How long was the Triple Whale outage?
It lasted 20 minutes, starting at 21:50 UTC on October 2, 2026 and recovering at 22:10 UTC. That was Triple Whale's only major or critical incident in the 90-day window.
Is Google Analytics more reliable than Triple Whale?
On these readings, marginally. Google Analytics recorded 100.0% uptime and 0 incidents against Triple Whale's 99.98% and 20 minutes down. The gap is 20 minutes over 90 days, which is small enough that it should not decide your tool choice on its own.
Should I worry about analytics downtime at all?
Less than about most other categories. Across the whole monitored set there were 46 major or critical incidents in 90 days, and only one of them was in analytics. Cloudflare alone recorded 83.36% uptime over the same window.
Are any of these three at elevated risk right now?
None of the three appear on StatusBird's current above-normal risk list. Cloudflare does, at a modelled 90.0% chance of a non-operational reading in the next 24 hours, which is relevant because an infrastructure problem can show up as an analytics dashboard failure.