536 karma · joined March 8, 2013
Onsite | San Francisco | Toronto | VISA ok
We are building the first online checkout platform and are growing fast.
Actively hiring for 30+ roles:
- Fullstack / Backend Engineer
- Data Science / Data Engineer
- Infrastructure / Devops Engineer
- More at https://bolt.com/jobs
Email --> rb [at] bolt.com
Onsite | San Francisco | Toronto | VISA ok
We are building a better online payments stack and are growing fast.
Actively hiring for 30+ roles:
- Fullstack / Backend Engineer
- Data Science / Data Engineer
- Infrastructure / Devops Engineer
- Recruiter / Head of Talent
- HR/Operations
- Business Development Reps / Account Executives
- More at https://bolt.com/jobs
Email --> adam [at] bolt.com
Don't have much else to add at this point :/ We're new, growing, and getting better. That involves taking feedback like this seriously. Will deliver through our actions in the near future instead of words.
Typically our deals are more enterprise-y / custom, especially since we're taking on all fraud liability. It's not just a processing rate.
Feel free to send me your volume and website and I'll get you back a quote: rb [at] bolt.com.
And the pricing page will be updated soon. Appreciate it, again.
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
Half a dozen points to answer this question:
- First off, our #1 north star metrics are order approval rates and minimal false positives. We measure this for every merchant. Clients sign up with us under the clear expectation that they'll see a spike in order approval rates and all of our case studies (compared to tools like Signifyd, Riskified, Stripe Radar, and many others) have shown significant spikes in order approval rates.
- We have some of our case studies published here https://bolt.com/case-studies and will be posting more in short order.
- We are more incentivized than siloed fraud detection providers to approve more orders. Payment processors are aligned to maximize volume. Fraud providers are aligned to minimize fraud. We play both roles. We want maximum volume through our pipes just as badly as merchants do.
- Furthermore, fraud rates are simply FRAUD / TOTAL VOLUME. We always aim to maximize TOTAL VOLUME to keep fraud rates low vs squeezing the numerator (which is what most companies do).
- Finally, as elaborated in the most, we have unparalleled data visibility by powering checkout. We use no rules. So, just because something looks bad (e.g. a user using a VPN, coming from a certain country, etc) our models just factor that in as one of hundreds of variables.
- We try to not profit and maximize fraud for the first several months to root out false positives in our models. If you only approve things that are clearly good and reject all else, your models will never learn.
- Our human review team rigorously processes every machine decline before it's officially declined to once again maximize order approvals.
A lot more that I could elaborate on here. But, just a few quick tidbits on what we do to minimize false positives as our #1 priority. All of the above and more lends itself to, what we believe to be, the best results in the industry.
For every client we measure order approval and decline rates before/after. Here are several case studies with those results: https://bolt.com/case-studies
And we have more that we can send over if you're interested in learning more! rb [at] bolt.com.
I've we have already approved the order, it is indemnified for fraud and we'll take the loss if it's a stolen good.
All future orders from that CC will be detected and flagged as having previously had a chargeback as well!
Email me directly and I'll send over details? rb [at] bolt.com.
Onsite | San Francisco | VISA ok
We are building a better online payments stack and are growing fast.
Actively hiring for 10+ roles:
- Fullstack / Backend Engineer (Using Go and React although prior experience therein is not required)
- Data Science / Data Engineer (Lots of python)
- Infrastructure / Devops Engineer
- Recruiter
- HR/Operations
- Business Development Reps / Account Executives
- More at https://bolt.com/jobs
Email --> adam [at] bolt.com
We have a server-based webhooks to create orders which is how we do secure order creation. Bolt provides a webhook (Bolt server -> merchant server) and REST APIs (merchant server -> Bolt server) to exchange data (including transaction details) through a secure channel.
Appreciate it again.
We hope to shorten the list as time goes on.
The key: everyone is focused on large data sets (breadth of data). We have some of that, but not nearly as much as large processors. We have, however, much more depth (sometimes 10X-20X as much). This allows us to achieve high accuracy in short amounts of time. Often times we'll lose money in the beginning to ensure high approval rates and, in essence, pay for learning data.
We're taking a strong stand against endless customization. While we'll have some styling options absolutely, we're pretty insistent in best-standards and letting the data speak.
Bolt is for people who want highest-performance decisions made for them. Customers who want to nitpick will have to write their own checkouts and will, for the most part, leave revenue on the table.
And the whole hog of data gives us a huge competitive advantage in manage regards, as you mention.
PayPal is great for PayPal account holders, but complete ineffective for non-PayPal account holders. So, it's pretty much useless for 95% of your traffic (most notably "guest checkout").