Night Shift (always on)

Your team watches the launch. We watch everything else.

Prior.Run runs every way a shopper can reach and move through your site, around the clock, and tells you the moment one of those paths breaks. It works in the background while your team works on what's next.

paths watched
2,560
Runs last 24h
7,680
open issues
7
last check
4 min ago
01The blind spot

Launches get every set of eyes. The rest of the store gets none.

◉ all eyes here

The launch

  • ✓New PDP template reviewed by design, PM and QA
  • ✓Campaign landing page checked on three devices
  • ✓War room on Slack for launch day
◌ nobody looking

Everything else, every day

  • ✕A two-year-old coupon field rejects codes for logged-out shoppers
  • ✕Size filter returns zero results on phones after a catalog sync
  • ✕A promo banner covers Add to Cart on small phones
  • ✕Subscribe and save stacks wrong with the welcome offer from TikTok
02The math

A shopper's journey isn't one flow. It's thousands.

Where they came from, what they do once they land, who they are to you, what they're on, and which offer is live. Each one multiplies the rest. No team can check all of them by hand, so most never get checked at all.

Entry points10
Meta adTikTok adGoogle SearchYahoo / BingEmailSMSAffiliate / coupon siteInfluencer linkDirectOrganic social
Behaviors8
Browse collectionSearchFilter & sortQuizPDP to cartApply couponStack offersSubscribe & save
Shopper states4
New, logged outReturning, logged outLogged inSubscriber
Devices2
DesktopMobile
Live offers4
No promoSitewide saleWelcome offerFree-ship threshold
10 × 8 × 4 × 2 × 4 =2,560distinct shopper paths, on a mid-size DTC store
store / every path / liveswipe →
Meta adTikTok adGoogle SearchYahoo / BingEmailSMSAffiliate / coupon siteInfluencer linkDirectOrganic socialNo promoSitewide saleWelcome offerFree-ship thresholdNew, logged outReturning, logged outLogged inSubscriberDesktopMobileBrowse collectionSearchFilter & sortQuizPDP to cartApply couponStack offersSubscribe & save12
Every option, connected to every option
1Google Search · No promo · New, logged out · Mobile

The coupon field rejects valid codes for shoppers who aren't signed in.

2TikTok ad · Welcome offer · New, logged out · Mobile

The welcome offer drops off once subscribe and save is picked, and the cart shows full price.

03What it looks like

Every path, checked on a schedule. Red is where to look.

Sample store. Pick a device and shopper state, then tap any square to see what the Run found on that path.

Swipe to see every path →

Browse collectionSearchFilter & sortQuizPDP to cartApply couponStack offersSubscribe & save
Meta ad
TikTok ad
Google Search
Yahoo / Bing
Email
SMS
Affiliate / coupon site
Influencer link
Direct
Organic social
HealthyDegradingBreaking
Degrading

Quiz result page loads without products

Influencer link → Quiz
Desktop · New, logged out · current offer

Quiz finishes but the recommendation grid is empty for about 8 seconds.

Started
Last week
Impact
Medium · quiz completion
Next Run
Confirms the fix automatically
04What shows up in your Slack

Not a dashboard to check. A ping when something needs you.

Prior.Run
Breaking · Checkout9:42 AM

Promo code field rejects valid codes for logged-out shoppers on phones.

Google Search → PDP → Coupon · Mobile · logged out · started after Tuesday's theme update

Degrading · Offer stacking8:15 AM

Welcome offer from the TikTok ad doesn't apply once subscribe and save is selected. The cart shows full price.

TikTok ad → Landing page → Subscribe · Mobile · new shopper

Breaking · Search & filterYesterday

Filtering by size on the women's collection returns zero products. Unfiltered results look fine.

Email → Collection → Filter · Mobile · returning shopper

Resolved · NavigationMon

Sticky header no longer covers the size guide on desktop. Confirmed fixed on the next scheduled Run.

Direct → PDP → Size guide · Desktop · logged in

05How it works

Set it once. It keeps watching.

01

Map your paths

Point Prior.Run at your store. It lays out the entry points, behaviors, shopper states, devices and live offers that make up your real journeys.

02

Runs on a cadence

Agents run every path on a schedule, try to actually buy, and use judgment the way a sharp CRO lead would. Not just “did the page load.”

03

Flag, fix, confirm

When a path breaks you get the exact path, a screenshot, when it started and what it likely costs. The next Run confirms the fix.

[ the short version ]

Your monitoring watches your servers. Prior.Run watches your shoppers' journeys.

Engineering asks

Is the site up?

Product asks

Can every shopper still buy?