Signifyd Review
Helps me solve cases that I am unsure about if whether they’re a fraud or not, or reassures me they are.
Read MoreQuick Implementation, Valuable Time Saver, Highly Recommend
We are solving the problem of chargebacks and staff hours spent researching customers on questionable orders. We have realized time savings, allowing these employees to take on new tasks benefiting Appogee, as well as financial savings in not being hit with chargebacks.
Read MoreHelpful Tool for Fraud Prevention
As above, it’s hard to catch when someone has been denied without an email or notification. We are coming up with a manual process for checking for cancelled orders.
Read MoreKind of complicated to understand scores
Our previous method we would have to eyeball a customers ID and card they used for the order which was very time-consuming. we have avoided some fraud orders with Signifyd. there arent really any problems to solve so i cannot answer that question. one benefit is not having to ask customers to send sensitive information…
Read MorePays for itself
Prior to implementing Signifyd we had two expensive fraudulent orders which were worth AU$900 each. After implementing Signifyd we have not had a single chargeback claim as we cancel all orders that Signifyd flag as suspect and won’t guarantee. It has paid for itself!
Read MoreDrastically decreased credit card fraud
Love Signifyd, A lot less stress when doing high dollar orders.
Read MoreEasy to use and great communication
It allows our business to run a lot more smoother without worrying about fraudulent orders.
Read MoreGreat product for peace of mind
Simple to use, and takes the worry out of selling online. Signifyd has allowed us to focus on our product they worry and screen for fraudulent orders.
Read MoreSignifyd is the premier fraud prevention service for e-commerce companies on the market.
Our clients have many transactions and have a difficult time with bots. Signifyd helps with the prevention of fraud and also helps increase revenue by allowing certain orders, that may have otherwise been falsely flagged as fraudulent, through.
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