Kuoll
p/kuoll
Monitors Conversion Rates
Dmitry Kaigorodov
Kuoll e-commerce revenue monitoring — Find out about your store revenue leaks
Featured
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All monitoring services capture data about errors. Kuoll e-commerce monitoring actually knows if an error is negatively affecting shoppers.

✔︎ detect revenue leaks

✔︎ monitor online store

✔︎ control release status

✔︎ track dev team KPI

Replies
Henadzi Tsaryk
Kuoll has come a long way! Good luck!
Dmitry Kaigorodov
@henadzit Thanks!
Eugene Mi
Can it catch bugs from checkout on mobile phones? it is pretty easy to reproduce and see bugs on desktop platform but not so easy it is reported by a customer with a mobile phone browser
Dmitry Kaigorodov
@emironic Thank you! > checkout on mobile phones Sure, and actually it is a pretty common scenario for us: developers test in chrome, shoppers use Safari.
Boris Mossounov

Really happy to hunt this product!

Pros:

- Much less false positive errors comparing to competitors

- Automatic error impact prioritization

- Realtime error detection at our volume

Cons:

- Minor error grouping issues

Dmitry Kaigorodov
Thank you Boris, we are working hard to make a difference and create monitoring that is not just reporting lots of raw data but provides great insights!
Vova Tereschenko
Congrats on the wonderful product!
Andrei Baklinau
On which Ecommerce platforms does Kuoll works? How do you evaluate potential revenue losses because of a bug?
Dmitry Kaigorodov
@andreibaklinau Hi Andrei. We support Magento 2 out of the box. With other platforms developers need to mark e-commerce events like Visit, AddToCart and Checkout. Kuoll evaluates revenue losses automatically using data about error and shoppers micro-conversions. For more detailed answer you can read https://www.kuoll.com/how-revenu...
Sergey Alekseev
Great job! Are you going to expand to Shopify? I usually see many JS errors on Shopify stores.
Victor Semeniaka
Awesome idea! Good luck!
Dmitry Kaigorodov
@victor_semeniaka thanks, hope we'll able to execute well on it ;)
Andrey  Bondarenko
Guys, it looks like a great product! The idea is amazing! Good luck
Nikita  Abrosimov
Great tool! Good luck, Dmitry!
Dmitry Ovod-Marchuk
Sounds great! Are there any limitations? I mean min/max daily conversions number or daily audience?
Dmitry Kaigorodov
@dmitry_ovod_marchuk thank you for the question. Actually, the more traffic you have, the faster we will be able to detect issues and the faster you will see the release status report. Also, more data means better statistical significance of the result. Which is for nerds but a good thing anyway ;) The largest store we are serving right now generates 100k-200k sessions per day.
Dmitry Kaigorodov
Folks, thank you for all of your support! Feel free to ask ANY question you may have. Would LOVE to answer 😉 The most common question, btw: how Kuoll is different? We measure HOW MUCH a specific bug affects shopper interactions, purchases and revenue.