Conversion rate fell 0.8% last Tuesday. Was it the theme update? A Stripe timeout? Slow load times on mobile? Nobody knows until someone manually checks three tools. By then, hundreds of carts are gone. askotter watches your checkout every minute and traces the root cause automatically.
A checkout error that affects 2% of sessions is invisible in daily dashboards. But at 10,000 sessions a day, that is 200 lost sales. A Stripe webhook timeout of 12 seconds instead of 0.3 seconds causes 41 failed transactions in 8 minutes. A theme update breaks mobile payment on Android. These are not hypothetical. They happen every week in DTC.
Shopify shows conversion rate as a single number. It does not tell you the checkout broke on mobile at 2:14 PM because of a CSS update. It cannot connect a Stripe timeout to a revenue dip. And it cannot estimate the revenue impact or queue recovery emails for abandoned carts. Shopify sees the store. It does not see the system.
askotter tracks checkout conversion by device, step, and payment method in real time. When conversion drops 62% in 8 minutes, the agent traces it to a Stripe webhook timeout, identifies 41 failed transactions, estimates $2,847/hr in lost revenue, and notifies your engineering lead. Recovery emails are queued. The fix deployed by 2:42 PM instead of discovered on Friday.
Understanding these metrics helps you measure the problem and track improvement. Each links to our full glossary definition with formulas, benchmarks, and role-specific context.
askotter unifies Shopify, Stripe, GA4, Meta Ads, and Google Ads into a single attribution model. See the real customer journey, not platform-inflated numbers.
askotter detects creative fatigue before ROAS drops. Monitors frequency, CTR decay, and CPA spikes across Meta, Google, and TikTok so you refresh creatives in time.
askotter captures and resurfaces seasonal learnings so your DTC team never starts from zero. Connected data from past peaks informs this year's strategy automatically.
We will connect your data, deploy agents that watch for this specific problem, and surface what matters. Your team stays in control. AI suggests, humans decide.