Recurring revenue should power your growth, not drain it. The Bolt team has been working tirelessly to launch Bolt Charge, our subscriptions API with no-added-cost.
Recurring revenue should power your growth, not drain it. The Bolt dev team has been hard at work. We just launched Bolt Charge, subscriptions are no-added-cost. Effortlessly manage and scale your subs with our API, built for developers to maximize profits and simplicity.
Sorry guys. Something we need to work on: instant and clearer pricing for everyone.
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.
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.
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
Furthermore, all of our clients have a "Force Approve" button where they take liability. The usage of that is approximately 0 because of how much clients end up trusting us. We want usage to be 0. But, they do have final say if needed.
Thanks for the question, nothrabannosir! Very key points here, so want to answer it in-depth.
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.
Yep, totally get it. We wanted to show specific examples, but obviously not disclose PII. So, this was a middle-ground although not idea.
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.
- 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 can likely do this for you with credit card depending on the details. We'll be rolling out ACH in upcoming months (but ACH is not immediately usable).
Email me directly and I'll send over details? rb [at] bolt.com.
Bolt is a full-stack solution. We do 1) end-to-end payment processing (like Stripe), 2) optimizing checkout, and 3) white glove fraud detection where we take on full fraud liability.