Tailor AI
Case StudyNOVOS rebuilt their storefront and pushed it live in a single morning. Tailor confirmed the new site was healthy inside four hours, then found the three things that were costing them money and data.
NOVOS rebuilt the front end of their entire storefront in one release. Product pages, cart, checkout, accounts, and every analytics tag layered on top all depend on it. On launch day nobody could tell whether a change in the numbers meant a broken site or a normal Thursday.
A quiet failure anywhere in checkout or tracking would look normal from the front end.
The last complete day was entirely pre-launch. Measuring a half day against a full one makes a healthy site look like a disaster.
A monitor that fires on every ordinary swing gets muted by lunchtime, on the day it matters most.
Each read measured a window against the identical window 24 hours earlier and the same weekday a week before, never a partial day against a full one.
A flat 15% threshold fires constantly. Each metric and each page was also judged against how much it normally swings, so ordinary movement stayed quiet.
Organic, direct, and search were read on their own, so a change in the ad account could not be mistaken for a change in the site.
Scope, stated up front. Tailor monitored what it observes directly: traffic by page and template, product, cart and checkout behavior, engagement, forms, purchases, and paid delivery. It does not reach into payment processing, subscription renewals, or fulfillment. NOVOS QA remained the primary go/no-go layer and caught a regional caching bug that no traffic data would have surfaced. Every report listed what it had not checked.
The new site itself was clean. These three were invisible from the front end, and all of them were live before anyone noticed.
It sent a day's worth of traffic that behaved nothing like the rest of the site. Only 2.4% of those visitors clicked anything and not one submitted a form, against a 56% click rate everywhere else. It was optimized for page views, so page views are what it bought. It also dragged the blended numbers down far enough to make a healthy launch look like a failed one.
The new order-confirmation page did not carry it, so nine in ten orders recorded with no value attached. Sales were unaffected, but every revenue and ROAS figure was unusable until it was restored, and values from the gap could not be recovered.
The rebuild renamed a CTA, so the goal watching it stopped matching. The goal kept reporting. It had stopped counting what everyone assumed it was counting.
Redesigns break measurement far more often than they break sites, and broken measurement looks exactly like working measurement until someone questions a monthly report.
Two reads on launch day, summarized into the team's Slack channel, each one showing its own reasoning so NOVOS could overrule it rather than take it on faith.
Tailor's launch-day report
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Twenty-four measurements were checked and held back, twelve of which had moved more than 15%. Site-wide visitors up 18.4% and page views up 16.6% would each trip a flat threshold, and both sat comfortably inside this site's ordinary range. Every held row shows its own history and the reason it was held, which is what makes the two that did get sent worth reading.

Click rate
54%β56%
Scroll depth
67%β70%
Form submissions
+7%
highest in three weeks
Organic, direct, and search traffic on the first full day after launch, against the last full day before it. Product, cart, checkout, and account pages all behaved normally. Both tracking breaks were closed, and Tailor confirmed order values flowing again and in line with pre-launch.
NOVOS shipped a full storefront rebuild and knew within four hours that it had worked. Tailor caught the three things that were costing them, one campaign and two broken trackers, in days rather than at the end of the month.
The launch-week cadence was temporary. Tailor's monitoring runs every day and posts to the same Slack channel. Real alerts from this account, with campaign names removed.
CTA clicks down 60% on a paid campaign, against what its own recent traffic predicts. Volume stable, so this is not a traffic issue.
Bounce rate up 15 points from Meta, 46% against a 32% baseline, sustained two days.
Dwell time down 53% on a paid campaign, 7 seconds against the 15 its traffic predicts.
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