Wat is Sift?
Sift is de leider in digitaal vertrouwen en veiligheid, en biedt zowel digitale disruptors als Fortune 500-bedrijven de mogelijkheid om zonder risico nieuwe inkomsten aan te boren. Sift voorkomt op een dynamische manier fraude en misbruik door middel van toonaangevende technologie en expertise, een ongeëvenaard wereldwijd datanetwerk van 35 miljard events per maand en toewijding aan langdurige klantrelaties. Wereldwijde merken zoals Twitter, Airbnb en Twilio vertrouwen op Sift om concurrentievoordeel te behalen in hun markten.
Wie gebruikt Sift?
Als de leider in digitaal vertrouwen en veiligheid stelt Sift online bedrijven in staat om zonder risico te groeien, en biedt soepele ervaringen terwijl fraude en misbruik bij elke stap in het gebruikerstraject worden voorkomen.
Twijfels over Sift?
Vergelijk met een populair alternatief

Sift
Reviews over Sift
Geverifieerde reviewer
Best flexible option in the market nowadays...
Opmerkingen: It can be improved, the support team take too much time attending customer requirements, and regarding the reporting, one instead focusing on the actionable data invest too much time wrangling with the data to get the information we need (asking via email for Sift asciende support, yes is frustrating). But despite these drawbacks, their Machine Learning approach is the best on the market as of today.
Pluspunten:
Workflows functionality (is like the main actions an user can perform while inside our services platform) and Rules functionality (inside each Workflow one can set high number of options and criteria to execute actions (Blocking, Reviewing, etc.) these two features bring what we need in order to map fraudsters and behaviors alike, while at the same time they Machine Learning engine learns from us! Making everything we create inside the tools a lesson learn and then we can focus on the other kind of attacks, relying on the tool.
Minpunten:
The reporting is so basic it contrast with the high functionality and advanced Machine Learning tool it needs to be improved. Here is where tools like Ravelin excel Sift Science by far!.
Ryan
A must-have solution for merchants addressing scalability.
Opmerkingen: We began using Chargeback this year and have seen a positive ROI from Real-time Resolution alone. Our win rate has improved and we are able to postpone adding headcount because of the speed with which the existing team can respond to disputes. As a fraud manager with years in the space, this is one of the most elegant and efficient solutions I've used.
Pluspunten:
Speed, ease of use, the ability to copy and paste screenshots into compelling evidence. For a merchant that fields 200x disputes weekly, an automated solution is a must.
Minpunten:
Support for American Express, and alternative payment methods (like PayPal) is limited.
John
Good, but can be better
Opmerkingen: The management team is responsive, but needs more technical support to upgrade product
Pluspunten:
Simplicity is the single greatest aspect
Minpunten:
Lacking automation features and requires too much manual entry
Zeeshan
Overwogen alternatieven:
Charegback RTR Overview
Pluspunten:
We are using RTR solution to prevent chargeback, so far have good experience from the support and integration team.
Minpunten:
Notification system provided in Accounts sections is not working.
Geverifieerde reviewer
Sift Science has enabled us to control unviable users.
Opmerkingen: We get to know the activity of users on a website. Helps us know if there is some kind of iffy business going on. And I like that it is self learning. Meaning it learns from the decisions you make and helps you tag any bad users.
Pluspunten:
I like that it helps me find suspicious interactions between users. It does get me if a user has a network of accounts and if they are the same person by verifying if they are using the same device.
Minpunten:
It is a bit tricky to use. There are so many options and so much to discover it can be a little bit overwhelming. But once you know what you're doing (kinda) you should be all set.