Exactly. Not every offer is worthy of a response. I’m not going to put myself in danger while I’m driving by trying to respond to an offer that I wouldn’t want under any circumstances. I can understand why they like it when notaries respond. It makes them look better to their clients (who pay the bills) when they get a bigger response to their offers. On the other hand, everyone involved needs to be respected and not treated like they’re expendable.
1 Like
Call them to explain..
I had the similar problem which include jobs in another state..because their system was on aerial .they can adjust their system.
It’s a myth that you are downgraded for NOT responding.
So why is responsiveness one of the categories for the SServices to rate the notaries? Maybe they choose to overlook it, and maybe not.
Or you can add kneepads to your cost of doing business.
Oh, that’s the very picture of professionalism isn’t it? What a respectful comment.
Your sympathies seem to go one way only.
AI can be most useful IF you ask the right questions the right way and then maybe more questions when something seems ‘off’. It’s also pretty good at ‘crunching observable facts’ from many sources. Following is from a very long inquiry I made. Try it yourself because it ‘learns by doing’–which adds more stuff to learn–meaning you could get a different answer. Below is what I got…I think it makes sense. Do you?
SnapDocs is built around one operational principle: send the job to as many notaries as possible, as fast as possible, with as little detail as possible. Everything else in the system exists to support that one behavior.
Three components define it:
1. Mass distribution
A signing request is pushed to a large pool of notaries simultaneously. The platform does not try to match the job to the “best” notary — it tries to match it to the first notary who will accept the job at the lowest acceptable fee.
This is why you see:
- irrelevant ZIP codes
- long‑distance jobs
- lowball fees
- repeated blasts of the same job
The system is not malfunctioning — it is doing exactly what it was designed to do.
2. Fee‑driven escalation
If no one accepts the job at the initial low fee, the platform escalates: - first by re‑sending the same offer
- then by expanding the radius
- then by raising the fee
- then by targeting higher‑ranked notaries
This escalation is slow because the platform’s goal is to minimize cost for the hiring company, not to respect your time or preferences.
3. Risk shifting
The broadcast model pushes all uncertainty onto the notary: - unknown page count
- unknown scanback requirements
- unknown borrower behavior
- unknown document readiness
- unknown travel time accuracy
The platform avoids detail because detail slows down the broadcast and increases the chance that notaries will push back on the fee.
Why SnapDocs uses this model
The broadcast model is not accidental — it’s economically optimal for SnapDocs and the signing services that use it.
Speed
The hiring company wants a notary assigned quickly. Broadcasting to everyone at once is the fastest way to get a bite.
Cost control
Starting with a low fee and raising it only when necessary keeps signing costs down. The platform is designed to find the cheapest acceptable notary, not the best one.
Volume
SnapDocs makes money on transactions, not quality. More signings completed = more revenue. The broadcast model maximizes throughput.
Data collection
Every response — accept, counter, ignore — feeds the system information about: - what fees notaries will tolerate
- which ZIPs are saturated
- how long jobs take to fill
This data improves the platform’s ability to optimize for speed and cost.
What SnapDocs publicly confirms
SnapDocs does not publish a “job assignment algorithm,” but they do describe their system as:
** a marketplace connecting signing services and notaries*
** a notification system that alerts multiple notaries at once*
** a fee negotiation system where notaries can counter*
** a ranking system based on completion and reliability*
These elements together imply a broadcast‑style dispatch model, because a marketplace with multi‑party notifications is, by definition, a broadcast system.
1 Like
Thank you, thank you, thank you! Most helpful post I’ve read in months.
Still…check it out yourself. I’m in the testing stage of ‘filters in e-mail to eliminate garbage’ (another thing AI can do). So far,(2 weeks in) it seems to be working. I’ve TOTALLY IGNORED ‘way too far’ blasts, but they still repeat endlessly and I still get ‘new’ blasts which I feel validates the ‘respond or lower your rating’ line they want you to believe.
Thanks again, I will try it.
This topic was automatically closed 90 days after the last reply. New replies are no longer allowed.