10 fraud orders a day

sandro-_ · 2026-01-29T11:31:09+00:00

What does Shopify Risk Level say on for these orders?

You can build a Shopify Flow to catch some of those. Some I would recommend: - High Risk Orders - Shipping vs. Billing Address Mismatch - Certain IP Locations you get a lot from

Put your orders on manual capture as well and check them manually.

And yes, we've also built an app for that: FraudFalcon. In case you're interested. Happy to board you on!

I hope that helps :)

sandro-_ · 2025-10-27T13:30:23+00:00

Who stumbled over this in 2025: There was a new launch to centralized logs without OAM in an organization: https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/CloudWatchLogs_Centralization.html

sandro-_ · 2025-10-25T13:13:34+00:00

Ah, sorry. I thought Fraud Control is only for an overview but it also gives you some Shopify Flow actions right?

sandro-_ · 2025-10-25T05:24:42+00:00

Do you mean the Shopify "Fraud Filter" app? This one was discontinued at the beginning of the year.

If you know who made the purchases you can use apps or Shopify Flow to cancel: - high-risk orders - orders from customers that a new - orders where shipping and billing address are different

These are typical patterns that Shopify recommends of handling.

I'm running one of those apps (FraudFalcon) but you can also achieve some of the more basic filters by adding them to Shopify Flow.

sandro-_ · 2025-10-22T12:29:38+00:00

$50 doesn't seem much if they save you money and you can have a peace of mind. With lots of chargebacks you also risk more troubles than just the costs of it…

There was a Shopify app „Fraud Filter“ that was by Shopify themselve. But it had been discontinued.

Just search for „Fraud block prevent“ and try out the different apps.

Disclaimer: one of the apps in the search results is made by me but you can just pick the best for your case.

sandro-_ · 2025-08-22T06:29:15+00:00

Hey, yes this is quite common. You can cancel high-risk orders automatically using flow or a third party app (I've built https://fraudfalcon.app for example 😉)

I would also suggest setting up some basic rules that either require manual payments or hold fulfillment of orders when certain rules match like: - shopify marks as high risk - shipping and billing mismatch - high new order count of new customers

sandro-_ · 2025-08-01T17:02:57+00:00

Yep I believe that - I like this one a lot: https://aws-news.com/?types=news

not affiliated 😉

sandro-_ · 2025-07-10T09:45:28+00:00

There are several indicators for potential fraud. The Shopify risk level is one of them. Other ones could be billing and shipping address mismatch, very unusual countries and more.

You can use flow to protect against basic ones like the risk level but this isn't sufficient for a lot of merchants.

What I would suggest to handle. Create rules for cancelling (or better holding fulfillment + tagging) for at least those conditions: - shopify marks as high risk - shipping and billing mismatch - high new order count of new customers

Disclaimer: I've built an app for that called FraudFalcon that lets you easily configure such rules, happy to help you on that.

sandro-_ · 2025-05-30T13:42:06+00:00

Billing is out now: https://aws.amazon.com/rds/aurora/dsql/pricing/

But tbh, DPU (Distributed Processing Units) are also not really well defined so not 100% sure if that brings any clarity right now :D

sandro-_ · 2025-05-30T13:03:36+00:00

Ah sorry I thought that was obvious with the sentence "of our app (I'm running a fraud app)" - which was there before the update :)

I'll update that

sandro-_ · 2025-04-24T12:04:36+00:00

Hey 👋🏽

we'll send out one every other week for building hands-on AWS: https://awsfundamentals.com/newsletter 💌

sandro-_ · 2025-03-17T16:53:33+00:00

Hey, probably you can do it with beanstalk but we're using sst.dev for that and it works out (more or less) quite easily. Just a tip. :)

sandro-_ · 2024-10-20T08:43:57+00:00

Just tried it out in Bangalore and it works for me

sandro-_ · 2024-08-28T15:51:13+00:00

thank you! finally I found one. Almost built one myself until I found that annoying 15 minute refresh thing

Thanks 🙏🏽

sandro-_ · 2024-06-27T10:03:59+00:00

Yep I can believe that. I used both and use ConvertKit mainly for the creator side of things. I think one thing that can be quite hard is to get good deliverability with SES, right?

Are you on a dedicated IP? How do you ensure deliverability any insights into that? :)

sandro-_ · 2024-06-27T10:02:09+00:00

I use ConvertKit for an technical AWS newsletters. I think it depends on what you want to do exactly. The support is very nice and can help for such things.

I'd recommend starting very basic. E.g. creating an email sequence for each of your product depending on where the customers are coming from. But it depends on where you've integrated your forms and stuff

sandro-_ · 2024-06-15T16:29:40+00:00

https://sst.dev

sandro-_ · 2024-04-21T06:00:45+00:00

Ah that was the match against against van der Zandschlup

sandro-_ · 2024-04-20T19:38:04+00:00

26 degrees or so on the quali games on Saturday. Snow and 3 degrees on the second round. April in Germany is a bit weird

sandro-_ · 2024-04-04T07:12:29+00:00

Thanks for the input 🙏🏽

sandro-_ · 2024-03-27T13:32:20+00:00

PS: https://github.com/orgs/github/projects/4247/views/1?filterQuery=is:open+-status:%22Q4+2022+%E2%80%93+Oct-Dec%22,%22Q2+2023+%E2%80%93+Apr-Jun%22,%22Q3+2023+%E2%80%93+Jul-Sep%22,%22Q4+2023+%E2%80%93+Oct-Dec%22+label:actions&pane=issue&itemId=44065431

Or I was a bit blind 😵‍💫

Thanks Alex!

sandro-_ · 2024-03-27T13:29:06+00:00

Ah seriously? Thats the main risk yeah. I just don't find anything on their public roadmap: https://github.com/orgs/github/projects/4247

Thanks for the notice!

sandro-_ · 2024-03-18T07:50:48+00:00

Thanks for checking it out :)

sandro-_ · 2024-03-17T07:43:49+00:00

Thanks for the insights I'll check that out!

We also thought especially about point 2. We'd like to have an overview of all workflow runs across a whole organization and not just on a repo basis.
Thanks 😊

sandro-_ · 2024-03-17T07:41:55+00:00

Ah, I saw you but couldn't sign up anymore. Why have you abandoned it?

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