Hi, I hope it will reach someone regarding to the feature request that I have in mind.
As you know, each order is marked under the “fraud analysis” as low, medium and high.
One criteria is that “Characteristics of this order are similar to non-fraudulent orders observed in the past”
So if Shopify can spot orders in other websites under “Shopify’s umbrella”, they can also spot high AOV, high-quality orders and repeat orders.
If Shopify can create a “Purchaser Quality Purchase” under the section of the fraud, it will be valuable for the store to know if they should focus their efforts on this purchaser or not.
To avoid the harassment and the personal information of the user, we can just categorize it as “bad, good, amazing” - while every store will decide how to treat these users.
I think that’s a cool idea. I’m not sure if they would be able to utilize that data from other websites with the direction data privacy concerns are going, I agree that just displaying good, bad, great, etc would be reasonable, but it may depend on the operating region whether they are allowed to collect and maintain that data.
An idea for now you could set this type of system up for your own customer base using order tags or notes.
I’ve seen people, for example, have problems with fraudulent orders from certain regions (I’ve seen zip codes, and even streets, for example a fraudulent address that uses different customer emails to get around identifying the customer), these type of orders they set to tag the order and get an alert for staff to investigate, or if it’s country based they block orders from that country.
And of course you can do the same and identify repeat customers, customers that have spent over $X, etc, to organize them for remarketing, give the order special attention, etc.
Good idea though, from a marketing / business perspective it would be cool to know how valuable a customer is even if they’ve never shopped on your store.
Thank you for your response Jose. I know that I can do it myself, and I am doing it on Klaviyo.
I can imagine what is the potential for people who left their details in the pop-up or made only 1 purchase with you. When you understand that this is valuable customer that made a purchase on other Shopify stores in the past and he is not fake or scam, but an actual customer who will be willing to make a good purchase.
If Shopify have the data to assume if an order is fraudulent due to specific parameters, while they are allowed to get this data, why is it an issue to take the same parameters and and adjust the data for positive use?
This CC used in several orders in Shopify for the same customer (OR Had more than 1 purchase - for the sack of the argument of the data)
The user lives in the location of the CC address
This user had no declines issues
This user has high potential to purchase again according to our data
The average order is [Higher/Lower/Same] as other orders that the user generated