Meteoric Fraud Protection

Name: Meteoric Fraud Protection Introduction Video
Uploaded: 2024-04-04T09:54:02Z
Duration: 1 min 33 s
Description: Save money, time and stress with Meteoric Fraud Protection

Develop by Meteoric Apps

$10

/ Month

7 Days Free Trial

Save money, time and stress with Meteoric Fraud Protection

Refund processing

Automated cancellations

Rule-based filtering

Fraudulent order detection

Parameter configuration

About Meteoric Fraud Protection

Launched Aug 06, 2023

Built by Meteoric Apps

Email :

[email protected]

Address

Unit 1-2 Phoenix Workshops, Station Road, Mochdre, Colwyn Bay, WLS, LL28 5EF, GB

Website Privacy policy Tutorial Document

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Introduction Video

Description

Meteoric Fraud Protection is an easy-to-configure app designed by storeowners - for storeowners.

Meteoric Fraud Protection allows you to configure rules to automatically cancel and refund orders that have known fraudulent characteristics. You can quickly and easily build cancel rule sets to automatically cancel and refund orders based on parameters including: Email address, name, zip code, IP address and more. If you find your store being targeted over and over again by the same bad actors, then the Advanced Fraud Protection app is for you!

Automatically filter, cancel and refund orders based on: IP, zip & other data
Reduce your exposure to fraudulent chargebacks and refunds and save $$$
Spend less time fighting chargebacks by cancelling before fraudulent orders ship

Pros

Automatically cancels and refunds orders with known fraudulent characteristics
Easily configurable rule sets based on various parameters such as email address, name, zip code, and IP address
Helps in reducing exposure to fraudulent chargebacks and refunds, saving money
Reduces the time spent fighting chargebacks by canceling fraudulent orders before they ship

Cons

May require initial setup and configuration effort
Could potentially cancel legitimate orders if rules are too strict or incorrectly configured
Dependence on the accuracy of rules and fraud detection parameters