Q by SubStrata

Q by SubStrata

AI powered email intelligence for B2B sales

5.0•2 reviews•

19 followers

Visit website
Q is your email communication genius for B2B sales. Trained on millions of data points, it "reads between the lines" to figure out where your prospect stands and guides you through the best next actions to take to increase your chances of winning the deal.
Q by SubStrata gallery image
Q by SubStrata gallery image
Q by SubStrata gallery image
Q by SubStrata gallery image
Q by SubStrata gallery image
Q by SubStrata gallery image
Free Options
Launch tags:
Productivity•Sales•Tech
Launch Team

What do you think? …

Philip Tannor
Looks very promising! A couple of questions: How much of the value do I get before my own data has a meaningful bulk (e.g. new sales team), and then how much does it improve after our own data is aggregated? And can you possibly share how much the solution is dependent on my own data/my team's data/data from other teams or organizations?
Ori Manor Zuckerman
Maker
@philip_tannor, the engine is already heavily well trained, so dependency isn't super high . It does improve though as it captures and learns your baseline tendencies. Essentially, the more you use it the better it gets.
Alina Matvieieva 🇺🇦
@philip_tannor It is so interesting, how much AI can do today!
Ori Manor Zuckerman
Maker
@philip_tannor @alinama Very true, thank you )
Kim Salmi
Looks very promising 🔥 ?makers: So the hypothesis is that at reconnecting with prospects at the optimal time will increase the probability of a sale? Do you have different data sets for different fields or is it a generic model? Also what does the pricing look like (there is nothing on your site)?
Ori Manor Zuckerman
Maker
@infr Hi Kim, response time is indeed part of the model, but we go a little deeper. From Semantics to pragmatics (including textual paralanguage). We use many types of datasets and fine tune on b2b sales related datasets (and other types of cross-organizational communication). Since it's B2B the pricing depends on no. of users and a few other factors (data usage, required integrations, other package features, etc). A good ballpark for a single user in a small company would be $79/mo.
Ken Savage
Congrats on the launch @ori_manor_zuckerman and team. How many emails back-and-forth does it take before your analysis can be confident on making a deal? Specifically how many emails back-and-forth before something can be considered in the green?
Ori Manor Zuckerman
Maker
@kensavage, the engine is already heavily trained from the get-go on millions of email threads so it provides value almost immediately. For the stats & analytics dashboard to start filling up you'll need to analyze 40+ emails (10-12 average threads). Note: it's not exactly about being "confident on making a deal". We found a very strong correlation between the seller's "perceived competence" (i.e. prospect's perception of the seller's domain expertise or situational authority) and "closed-won" deal status in CRM data. What we do is help you understand how you're being perceived by your prospect and help you convey the right signals (implicitly) that will help you push the deal forward.