"Mouse movements, keystrokes, capitalization, clipboard usage, and more make sense, because we understand all the elements of the DOM" ...
Such data is super valuable for fraud detection.
That is - if ability to model mouse movements as well as similar behavior features over time is indeed part of the offering and included into modeling [1]. Pretty much no one to speak of is productizing it today.
This is 1000% right. If there was a prioritized list of differentiators, this is #1 for us. And, what enables us to do that, is having a checkout flow that we host (which also drives our clients more conversion-rates/revenue). It’s a win-win. Without a controlled checkout flow, there are too many behavioral confounding variables. This is what makes us unique.
- Fraud detection and data science is our bread and butter.
- We take 100% fraud liability. This is different than providing tools and rule engines. We actually make the decisions, and bear the cost of any mistakes.
- We are insanely focused on false positive reduction, including several layers of human review before we reject an order.
- We collect immense behavioral data via checkout instead of working directly through an API which gives us clearer visibility.
We are using Signifyd to process fraud. Why should one move from an existing platform to yours? Our system is stable, why would we risk any stability to migrate somewhere else?
Good question. A core reason to switch to Bolt is that we fight ruthlessly for every single good customer, far beyond any other solution out there. A lot of this is described in the article, and a lot isn’t.
Every good customer is precious, and not only has order value, but also has customer lifetime value, referral value, and more. Falsely rejected customers will also go to competitors, handing that value on a silver platter to them.
Our unparalleled data visibility, fraud models, and review team results in a white-glove service that maximizes order approval rates and minimizes false positives. We’ve had countless customers switch from Signifyd and related vendors to Bolt, all of which realized these improvements.
Finally, our checkout drives 10%-50% newfound revenue. In summary, we can offer an all-in-one solution and massive revenue upside for making the switch. Let me know if I can help :-) rb [at] bolt.com
It looks like you fixed exactly what I was seeing. It seemed odd for a site dealing with security to not be served over SSL. I'm not sure what the issue was, but it appears to be resolved.
"Mouse movements, keystrokes, capitalization, clipboard usage, and more make sense, because we understand all the elements of the DOM" ...
Such data is super valuable for fraud detection.
That is - if ability to model mouse movements as well as similar behavior features over time is indeed part of the offering and included into modeling [1]. Pretty much no one to speak of is productizing it today.
[1]
https://www.splunk.com/blog/2017/04/18/deep-learning-with-sp...