Protect Your Revenue From Downtime
Real-time monitoring of your checkout flow, cart, and payment gateway — so you never lose a sale to an undetected outage.
Every Minute of Downtime Costs Real Revenue
For an online store processing $120,000/month, a 2-hour checkout outage on a Friday evening can erase $8,000–$15,000 in sales — plus permanently damage customer trust.
Most e-commerce teams discover an outage the moment their support inbox floods. By then, hundreds of cart abandonment events have already happened, payment processor retries have exhausted, and social media complaints are spreading. Traditional uptime monitors only check if your homepage loads — they don't verify that a customer can actually add an item to cart, apply a promo code, enter a shipping address, and complete a payment.
PingKit's e-commerce monitoring closes that gap by simulating the full buyer journey from multiple global locations, alerting your team before customers do.
End-to-End Checkout Monitoring
PingKit runs automated browser-based checks that walk through your entire purchase flow — every 60 seconds, from 12 global locations.
Cart & Product Page Checks
Verify that product pages render correctly, inventory displays accurately, and the "Add to Cart" button responds within acceptable latency. Detect broken product links, missing images, and pricing API failures before they affect conversion.
Checkout Flow Simulation
Automated sessions fill a real cart, apply coupon codes, select shipping methods, and reach the payment confirmation step. If any step fails — even a silent JavaScript error that breaks the "Place Order" button — you get an instant alert via Slack, PagerDuty, or SMS.
Payment Gateway Validation
Monitor Stripe, PayPal, Adyen, or your preferred processor's response times and error rates. PingKit flags degraded performance (e.g., Stripe response time spiking from 200ms to 3,400ms) before transactions start failing outright.
Multi-Location Coverage
Checks run from New York, London, Frankfurt, Singapore, Sydney, São Paulo, and six additional nodes. Geographic-specific failures — like a CDN misconfiguration affecting EU customers — are caught within the first 60-second cycle.
Smart Alerting & Escalation
Configure escalation policies: Slack notification for the first failure, SMS to your on-call engineer after 3 consecutive failures, and auto-page to your engineering lead if checkout is down for more than 5 minutes. No false positives from temporary DNS blips.
Uptime SLA Reporting
Generate white-label availability reports for your stakeholders. Show your board or enterprise clients that your checkout maintained 99.99% availability across all monitored steps — with full incident timelines and root-cause timestamps.
Real Outcomes for Real Stores
E-commerce teams using PingKit see measurable improvements in availability, incident response time, and revenue protection.
99.99% Checkout Availability
Stores monitoring their full checkout flow with PingKit maintain 99.99% uptime on the critical purchase path — compared to 97.2% average for stores relying on basic homepage pinging alone.
4-Minute Mean Detection Time
Instead of waiting 20–45 minutes for customer complaints to surface, PingKit detects checkout failures in an average of 4 minutes, giving your team enough time to roll back a bad deploy or switch to a failover payment processor.
$230K+ Revenue Protected (Avg.)
Based on data from 340+ monitored e-commerce stores, PingKit prevents an average of $230,000 in annual lost sales by catching outages before they impact a significant number of shoppers.
Case in point: Threadwell Apparel, a DTC fashion retailer doing $2.1M/month, caught a Stripe webhook misconfiguration during their Black Friday prep that would have blocked 100% of orders. PingKit's checkout simulation flagged the failure at 2:14 AM PST — their team fixed it before the 8 AM sale launch. Estimated revenue at risk: $187,000.
Bloom & Crate, a subscription plant box service, reduced their average incident response time from 38 minutes to 4 minutes after switching from basic uptime monitoring to PingKit's full checkout flow checks. Their cart abandonment rate dropped 12% because intermittent checkout errors were eliminated.
Protect Your Revenue From Downtime
Real-time monitoring of your checkout flow, cart, and payment gateway — so you never lose a sale to an undetected outage.
Every Minute of Downtime Costs Real Revenue
For an online store processing $120,000/month, a 2-hour checkout outage on a Friday evening can erase $8,000–$15,000 in sales — plus permanently damage customer trust.
Most e-commerce teams discover an outage the moment their support inbox floods. By then, hundreds of cart abandonment events have already happened, payment processor retries have exhausted, and social media complaints are spreading. Traditional uptime monitors only check if your homepage loads — they don't verify that a customer can actually add an item to cart, apply a promo code, enter a shipping address, and complete a payment.
PingKit's e-commerce monitoring closes that gap by simulating the full buyer journey from multiple global locations, alerting your team before customers do.
End-to-End Checkout Monitoring
PingKit runs automated browser-based checks that walk through your entire purchase flow — every 60 seconds, from 12 global locations.
Cart & Product Page Checks
Verify that product pages render correctly, inventory displays accurately, and the "Add to Cart" button responds within acceptable latency. Detect broken product links, missing images, and pricing API failures before they affect conversion.
Checkout Flow Simulation
Automated sessions fill a real cart, apply coupon codes, select shipping methods, and reach the payment confirmation step. If any step fails — even a silent JavaScript error that breaks the "Place Order" button — you get an instant alert via Slack, PagerDuty, or SMS.
Payment Gateway Validation
Monitor Stripe, PayPal, Adyen, or your preferred processor's response times and error rates. PingKit flags degraded performance (e.g., Stripe response time spiking from 200ms to 3,400ms) before transactions start failing outright.
Multi-Location Coverage
Checks run from New York, London, Frankfurt, Singapore, Sydney, São Paulo, and six additional nodes. Geographic-specific failures — like a CDN misconfiguration affecting EU customers — are caught within the first 60-second cycle.
Smart Alerting & Escalation
Configure escalation policies: Slack notification for the first failure, SMS to your on-call engineer after 3 consecutive failures, and auto-page to your engineering lead if checkout is down for more than 5 minutes. No false positives from temporary DNS blips.
Uptime SLA Reporting
Generate white-label availability reports for your stakeholders. Show your board or enterprise clients that your checkout maintained 99.99% availability across all monitored steps — with full incident timelines and root-cause timestamps.
Real Outcomes for Real Stores
E-commerce teams using PingKit see measurable improvements in availability, incident response time, and revenue protection.
99.99% Checkout Availability
Stores monitoring their full checkout flow with PingKit maintain 99.99% uptime on the critical purchase path — compared to 97.2% average for stores relying on basic homepage pinging alone.
4-Minute Mean Detection Time
Instead of waiting 20–45 minutes for customer complaints to surface, PingKit detects checkout failures in an average of 4 minutes, giving your team enough time to roll back a bad deploy or switch to a failover payment processor.
$230K+ Revenue Protected (Avg.)
Based on data from 340+ monitored e-commerce stores, PingKit prevents an average of $230,000 in annual lost sales by catching outages before they impact a significant number of shoppers.
Threadwell Apparel, a DTC fashion retailer doing $2.1M/month, caught a Stripe webhook misconfiguration during their Black Friday prep that would have blocked 100% of orders. PingKit's checkout simulation flagged the failure at 2:14 AM PST — their team fixed it before the 8 AM sale launch. Estimated revenue at risk: $187,000.
Bloom & Crate, a subscription plant box service, reduced their average incident response time from 38 minutes to 4 minutes after switching from basic uptime monitoring to PingKit's full checkout flow checks. Their cart abandonment rate dropped 12% because intermittent checkout errors were eliminated.