Go live to sell and you're pitching everyone at once, which is close to pitching no one in particular. The Parallel Closing splits the job in two: the host keeps the mic and runs the pitch, while the moderator-setters pull every hot lead into a private message and work it in real time. You get the reach of a live with the personalization of a one-on-one call.
While the host pitches the whole room, the setters work the hot leads in private, one at a time. The moderator-setter gets his own space, built for a single job: knowing who to message right now, and why. An AI watches the room every 15 to 30 seconds. It reads public messages, private messages, time connected, clicks on the offer, poll answers, forms, and quizzes. Every attendee carries a live score, and it moves the moment they act.
Public chat on the left. Private messages with the current lead on the right. The notification center sits in the middle, and that's where the setter works. He isn't bouncing between the two panels hoping he didn't miss a buyer. He works down one list, already sorted. Urgent actions rank to the top, so whatever needs him right now is the first thing he sees.
Each notification arrives with the information, the lead's context, and a suggested action. Here's what surfaces today:
On the leads that matter, the notification carries a one-click WhatsApp link, to catch someone outside the app right after he leaves.
The public chat doesn't hit the setter as a wall of text. Every message gets tagged as it lands: price objection, question, purchase intent, hesitation, spam. On a room that types fast, that's the line between reading the chat and sorting it. The setter sees in one pass which messages need a public answer and which ones he takes into a private message.
Every notification carries its own actions: reply in private, reply in public, mark it handled, ignore it. Handled or ignored isn't just bookkeeping. It trains the models and sharpens what surfaces next. And the setter writes every message himself. The notification hands him the information, the lead's context, and a suggested move. Nothing goes out on his behalf. The machine is good at catching the moment. What you say to a lead who's on the fence stays with the person saying it.
Spam gets a shadowban. The heckler keeps typing, still sees his own messages, and nobody else does. You never call him out in front of the room, so the energy in the chat holds. On the leads who matter, you open the attendee file and get a timestamped timeline of the whole live: what he wrote, what he answered, what he clicked, when he left. A setter opening a private conversation already knows exactly who he's talking to.
The ratio we run: one setter per 300 to 500 registrants. On bigger volumes, you add setters in parallel, and notifications route between them so no two setters ever work the same lead.
We look at your format, your volume, and what the tool would change for you. No strings attached.