Sift Science

4.3
(10 reviews)

Sift Science is a fraud detection system it has flexible, adaptive, and automated solution thathelps businesses of all sizes detect and prevent fraud, before it hits the bottom line.

Work for Sift Science?

Learning about Sift Science?

We can help you find the solution that fits you best.

Find the Right Product

Sift Science Reviews

Ask Sift Science a Question
Write a Review
Filter Reviews
Filter Reviews
  • Ratings
  • Company Size
  • User Role
  • For Category
  • Industry
Ratings
Company Size
User Role
For Category
Industry
Showing 10 Sift Science reviews
LinkedIn Connections
Sift Science review by Kevin L.
Kevin L.
Validated Reviewer
Verified Current User
Review Source

"Sift Science Protects our Shopify"

What do you like best?

Sift Science has come a long way since we started using it back in 2012, and the latest version really helps protect our store from fraudulent orders in an easy to view UI. There's a very simple view that helps us quickly identify possible fraudulent orders, so we only have to focus on a few orders a day, versus scanning each order.

What do you dislike?

There's nothing to dislike. Sift Science is free for our store's order volume and it does the job simply and efficiently.

Recommendations to others considering the product

If you're looking for a fully integrated solution for fraudulent order filtering and moitoring for Shopify, check out Sift Science. It's easy to set up and use. And notifications and dashboard for seeing orders is probably the most useful thing with Sift Science. Rather than looking through each order, you can look at only orders that are flagged risky.

What business problems are you solving with the product? What benefits have you realized?

We were getting about 10 chargebacks a month, sometimes losing $1k or more on fraudulent orders. After implementing Sift Science, we're averaging 0-2 chargebacks a month, with most months really being 0. We love the fact that Sift Science quickly filters out orders for us to put our eyes on, this elminates wasted time on sifting through each order.

Sign in to G2 Crowd to see what your connections have to say about Sift Science
Sift Science review by Dong Gun (Eric) A.
Dong Gun (Eric) A.
Validated Reviewer
Review Source

"Fast!"

What do you like best?

The system is reliable. It notices us of things I never knew even existed. Thankful the security it provides.

What do you dislike?

Teaching other people how to use it is difficult. Learning curve is bigger than some others. There are many different platforms people come from so incorporating similar style may be a good idea

What business problems are you solving with the product? What benefits have you realized?

Security from fraud accounts in our email database so we can make sure we are reaching out to the right people

What Fraud Detection solution do you use?

Thanks for letting us know!
Sift Science review by Mugdha  J.
Mugdha J.
Validated Reviewer
Review Source

"The right one!"

What do you like best?

It prevents and secures you from frauds using machine learning. It is quick to detect scams and content scans.

What do you dislike?

The application does not have a free trial and costs you a good amount to even try it. It can be turned to cost effective.

What business problems are you solving with the product? What benefits have you realized?

It is making internet a safe space for everyone. Being a constant internet user, it protects me from frauds and helps me be in a safe circle.

Sift Science review by Sharon L.
Sharon L.
Validated Reviewer
Review Source

"Fast and easy fraud prevention"

What do you like best?

Sift Science provides and easy-to-use fraud prevention platform for checking revenue and customers.

What do you dislike?

It's a little less customizable than I would prefer, but the platform is still incredibly feature rich and the customer service is always reliable.

What business problems are you solving with the product? What benefits have you realized?

It's easier than ever to find out whether there are leakages in sales pipelines and discovering fake accounts for product users.

Sift Science review by User
User
Validated Reviewer
Review Source

"SIFT"

What do you like best?

We use SIFT to detect any fraud and use in our verification channels. It allows us to review accounts and ensure that the marketplace is safe with all our users.

What do you dislike?

Sometimes the SIFT scores seem off for the people that we have had use our market. In my opinion sometimes it has not been exactly accurate.

What business problems are you solving with the product? What benefits have you realized?

Fraud and proper verification. It helps keep the marketplace safe and trusting.

Sift Science review by User in Internet
User in Internet
Validated Reviewer
Review Source

"Transparent fraud analysis tool"

What do you like best?

Sift Science made it easy to view user's connections and risk factors and make quick decisions about potentially fraudulent transactions. Intuitive interface and lots of features, machine learning

What do you dislike?

Some risk factors were poorly explained or inflated a user's risk score unnecessarily

Recommendations to others considering the product

Make initial decisions about users carefully to avoid inflated risk scores later

What business problems are you solving with the product? What benefits have you realized?

Helped us identify potential fraudulent chargebacks and remove repeat offenders before they could make purchases.

Sift Science review by User in Internet
User in Internet
Validated Reviewer
Review Source

"Solid Fraud Prevention Product"

What do you like best?

The ability to deal with fraud is a major issue for a big spender like us. I like the ability to be able to deal with fraud in our affilite/coupon promotions.

What do you dislike?

Platform is a bit confuisng to use and not easy for begginer

What business problems are you solving with the product? What benefits have you realized?

Prevention of general malicious intent through fraud, trolling, etc.I havent realized however I do see the value .

Sift Science review by Internal Consultant
Internal Consultant
Validated Reviewer
Review Source

"Important component to our fraud fighting efforts"

What do you like best?

Getting reputation data for email address

What do you dislike?

Doesn't catch everything, but that is expected

Recommendations to others considering the product

Use it for email monitoring, and include the javascript package to track client interactions.

What business problems are you solving with the product? What benefits have you realized?

We check email addresses against sift science and use the result as an important signal to our machine learning model for detecting fraudulent postings/listings.

Sift Science review by User
User
Validated Reviewer
Review Source

"Sift is awesome"

What do you like best?

I really enjoy the linked accounts view and deep dive into account risk score. Additionally, it does a good job at presenting features that are not available in our internal tools.

What do you dislike?

I dislike that I need to click around to understand account risk score.

What business problems are you solving with the product? What benefits have you realized?

Preventing fraud and improving investigator decisions.

Sift Science review by User in Accounting
User in Accounting
Validated Reviewer
Review Source

"Sift Science"

What do you like best?

Provides ratings accurately and quickly which easily helps mitigate fraud. Helps find strange occurrences between users who may "game the system", like using the same device.

What do you dislike?

A bit nuanced at first and hard to sometimes locate information due to the plethora of options.

What business problems are you solving with the product? What benefits have you realized?

Mainly fraud detection and complicated schemes.

Kate from G2 Crowd

Learning about Sift Science?

I can help.
* We monitor all Sift Science reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. Validated reviews require the user to submit a screenshot of the product containing their user ID, in order to verify a user is an actual user of the product.