Catch checkout killers before they kill conversion

A tireless autonomous shopper runs your store daily, flags anything that stops or slows a purchase, and sends fix-ready evidence you can share. Mobile & desktop. No dashboards to babysit.

the autonomous shopper

How it works

1. We configure the flows

We build the flows that matter the most:
Search → Product → Add to Cart
Cart → Shipping info → CheckoutWe use deterministic flows for reliability and speed. You just tell us any customer path variation you would like us to follow.

2. Daily runs

The shopper performs daily the journey like a buyer would, for both mobile and desktop devices.We capture video, screenshots, friction points, HAR, console logs, timings, and a step-by-step trace.

3. Alerts with evidence

If a step blocks or drags, you get an email and a report with the failing step, the likely cause, and links to the evidence, which directs your support team for fast resolution.

What it catches

You get a prioritized list of issues—each with severity, where it happened, and the proof to fix it fast.

Blockers (stop the purchase)

  • Dead or unresponsive clicks on Add to Cart / Checkout

  • 4xx/5xx errors on cart/checkout/payment endpoints

  • Payment handoff stalls or never loads

  • Overlays that fully cover critical CTAs

Performance regressions (quiet conversion drags)

  • Page ready time drifting above thresholds and layout shifts (mobile & desktop)

  • Excessive JavaScript errors or network failures

UX friction (evidence-based, high signal)

  • Partially obstructed or too-small tap targets

  • Reappearing cookie/chat overlays on key steps

Why daily, even if you rarely deploy?

  • Third-party changes (payments, CMP/chat widgets, A/B tools) ship on their schedule.

  • Promo banners and content updates can obstruct CTAs on mobile.

  • CDN/caching and traffic spikes cause intermittent failures you won’t see in staging.

  • Daily runs catch these regressions early and prove what broke with artifacts.

Trust & Security

We focus on reliability and low false positives. If we can’t reproduce an issue with evidence, we don’t alert.

  • We run only with merchant consent and rate limiting

  • No customer Personal Identifiable Information collected

  • Never settle real payments

  • Evidence artifacts (video/HAR/console) stored securely and linked in alerts

  • You control which flows we exercise

  • No scripts installation

packages

Pricing & Packages

Pilot (7-Day)

 Free 

  • Try everything in Basic for 7 days for free

Basic

$99 /month

  • 2 flows
    (search → product → cart; cart → checkout)

  • Mobile + desktop

  • Daily run

  • Email alerts for blockers

  • Daily report

pro

$- 

COMING SOON

  • Everything in Basic, plus:

  • Up to 5 flows

  • Additional UX friction points

  • Slack alerts

  • Baseline trendlines & regression highlights

  • And more...

mirrora

About Mirrora

Mirrora is a Myqonn (www.myqonn.com) spin-off project that builds practical AI for evaluating user experience on e-shops, and protecting revenue on the pages that matter most.We ship intelligent, evidence-first automation—powered by the latest technologies—so business owners and teams get fewer surprises and faster fixes.

FAQ

Frequently Asked Questions

🤖 What is the Autonomous Shopper, in plain English?

It’s a synthetic “buyer” that simulates a user that performs the basic purchase flows, identifying high friction or blocking points. This essentially protects your revenue by ensuring fewer lost orders.

📅 Why run it daily if our site rarely changes?

Because breakages often come from third-party updates (payments, CMPs, chat widgets, A/B tools), promo banners that obstruct CTAs, or CDN/traffic quirks—not your deploys. Daily runs catch regressions early and attach proof; you also get pass/digest emails so “nothing broke” is visible.

🧭 How is this different from uptime monitors or session replay?

Uptime/RUM tools check endpoints and collect analytics after users suffer. Autonomous Shopper executes the full buyer journey end-to-end and sends a one-pager with evidence you can forward to your dev team.

🔌 Do we need to install a script or SDK?

No SDK, no script. We run with your consent, rate-limited. We do not apply any payment steps. No customer PII is retained and artifacts are stored securely and linked with alerts. You choose which flows we exercise.

🕵️ What types of issues can it catch beyond “site down”?

At the moment, detectors flag dead clicks, CTA visibility/obstructions, JS/network errors, time the page loads the largest part of it (LCP), response time after user input (INP), Cumulative Layout Shift (CLS) and sticky overlays/banners overlap—plus performance drift vs your own baseline. We continuously adding detectors to catch additional dimensions of UX and conversion friction.

⚙️ What does setup look like?

There is a setup form you have to complete. You select the flows and the devices (mobile + desktop) you would like to test, plus some additional information (e.g. variations you would like on the flows, time you would like the Autonomous Shopper to run daily, the email to receive reports and alerts). Then the Autonomous Shopper will start running daily after 24h, and you will start getting reports for each run.

🛡️ How do you run checkout safely without charging real cards?

We never settle real payments. We always stop at the pay step.

🎯 Who gets the most value—and who probably shouldn’t buy?

Best fit: Shopify DTC brands ($30k–$300k/mo) and CRO/UX agencies—frequent changes, real revenue at risk, limited QA.
Lower fit: tiny shops with rare changes or teams already running robust synthetics daily.
Clear ROI: catching even one half-day checkout glitch typically outweighs a month of fees.

Contact

We'd love to hear from you!For details on setting up a pilot, using our product, sharing your bio, general enquires or just to chat, please email:
[email protected]If you'd like to send us something more physical, please address it to:
Praxitelous Street 24,
35131 Lamia, Greece

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