Live $/min loss from an incident, every dollar of paused spend recovers ROAS during the outage window.
At a glance
Cross-platform real-time card: when a site incident is OPEN (checkout down, payment processor outage, search broken, key landing page 5xx), this card tracks the live £/minute of Google Ads spend that’s continuing to flow into a site that cannot convert. Every minute the ads run during the outage is fully wasted spend AND wasted brand impressions (“they showed me an ad and I couldn’t buy”). Pausing campaigns during incidents is the single highest-ROI action available; this card surfaces the exact £/minute saved by doing so.
Calculation
Calculated automatically from your Google Ads data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.Worked example
A UK fashion brand. Tuesday 14 Apr 26, 14:30 local. Their payment processor (Stripe) opens an incident affecting card payments to the EU. Checkout error rate spikes to 38%. The card opens its incident overlay.
What this scenario tells the analyst (the playbook):
- The alert opens within 60 seconds of incident detection. Faster than any human can notice from the order dashboard (“Where are today’s orders?”). The £/min shown lets the on-call team make a quick economic decision: do we pause spend now or ride it out?
- The first 15 minutes are usually “wait and see”. Most checkout incidents resolve in 5-15 minutes (transient payment-processor blips, CDN cache flush, briefly-deployed code that auto-rolled-back). Pausing campaigns has a recovery cost (Smart Bidding may take hours to relearn after re-enable), so for short incidents, pausing is net negative.
- Past 30 minutes, pause becomes net positive. At ~£1/min spend, 30 minutes is £30 wasted. Smart Bidding recovery cost from a 30-min pause is typically 5-10% efficiency loss for 12-24 hours, perhaps £40-80. Still close to break-even. At 60+ minutes, the cumulative loss exceeds Smart Bidding recovery cost; pause clearly wins.
- At T+173min (resolved), the brand has lost £162.80 of spend during the outage. Had they paused at T+30, they’d have saved £130 of spend (capping loss at ~£32) and lost perhaps £80 of post-resume Smart Bidding efficiency. Net win: £50. A small win per incident, but compounded across the 4-8 incidents/year a typical brand suffers, this is £400-£1,600/year of recoverable spend.
- The incident also prevented £900+ of revenue (the brand was averaging £15/min revenue before the incident; 173 min of zero conversions = ~£2,600 estimated revenue lost). This card focuses on the £162 of recoverable spend, not the £2,600 of unrecoverable revenue. Engineering’s job is to prevent the £2,600 by reducing incident frequency; marketing’s job is to recover the £162 by pausing.
- T+0 to T+15min: monitor. Most incidents resolve in this window.
- T+15min: if still OPEN, alert the marketing on-call.
- T+30min: pause Search and PMax campaigns if still OPEN. Keep brand-defense (Branded Search) running, those clicks have low cost and high conversion intent post-recovery.
- T+resolution: wait 15-30 minutes after resolution before re-enabling, allow checkout to fully stabilise.
- Post-incident: document the cumulative loss; use the figure to make the engineering case for reliability investment.
- Card sits at £0/min: no incident OPEN, healthy.
- Card opens but resolves within 5min: routine; no action needed.
- Card frequently passes £100 cumulative: reliability problem; engineering needs the £/incident figure to prioritise.
- Card never opens: either no incidents (good) or no integration (set up commerce-platform health monitoring).
- Multi-store: one incident affects one store; check which store the incident is on before pausing the wrong account.
Sibling cards merchants should reference together
Reconciling against the vendor’s own dashboard
Where to look in Google Ads UI: Google Ads > Overview shows live(-ish) spend, but with 1-5 minute lag and no incident overlay. This card is the only place where Google Ads spend is overlaid with commerce-platform incident state in real time. Google Ads > Tools > Conversions > Status shows pixel-fire status; during a checkout incident, you’ll see conversions stop firing here within 10-30 minutes (slower than this card detects). Commerce platform admin > Orders for Shopify, BigCommerce > Orders, or Adobe > Sales > Orders is the truth side: order volume going to zero confirms the incident impact. Other Google Ads / commerce views that look like this number but aren’t:- Google Ads > Recommendations: Google may eventually recommend pausing low-CR campaigns, but typically 24-48 hours after the incident, far too slow.
- Smart Bidding “Limited” status: Smart Bidding does eventually detect an incident and cut spend, but with 30-60 minute lag. This card is faster.
- Commerce-platform “Status” pages: useful for confirming the incident is platform-wide; but no per-store impact figure.
- Datadog / New Relic dashboards: engineering-side; show error rates and latency but not £/min of paid-traffic loss.
Why the BUSINESS metric often differs (the IMPORTANT one):
The £/min loss this card displays is the spend-side recovery only. The full business impact is much larger:
- Lost revenue during the incident: at typical 4-5x ROAS, £1/min of spend would have produced £4-5/min of revenue. The full opportunity cost during a 60-minute outage is £240-£300, not the £60 of spend the card highlights.
- Brand damage from “showed me an ad, couldn’t buy”. Customers who arrive during an outage typically don’t return; cost-per-disappointed-customer is hard to quantify but real.
- Smart Bidding learning damage. Even after the incident closes, Smart Bidding has learned from a window of zero-conversion data and may take 12-24 hours to re-stabilise.
- Google Ads Quality Score impact. Repeated landing-page errors affect Quality Score, raising future CPC. Marginal but compound.