Account Grader uses Jev to score and rank 1,000 accounts
The author applies Jev to outbound sales, combining Saleshandy company data to judge which accounts likely have the problem being solved, explain the reasoning and rank the top 100.
Jev by @typesafeai is flying drones, playing Pac-Man, reviewing code. i think GTM engineers are going to have a lot of fun with it too. i gave Jev an outbound problem: you have 1,000 accounts. which 100 are most likely to actually have the problem you solve? built Account Grader with Jev. filters can tell you industry, headcount, funding, tech, location. that tells you what the company is. but fit is about something else: is this company in a situation where the problem you solve is likely to exist? so you tell Account Grader what you sell. it uses the company data we already have in @saleshandy + Jev to reason through that question across every account, explain why, and rank them. before writing the cold email, i want to know whether the account deserves one. first version ↓