Collect and clean the contact list
Badge scans, sign-up forms, and typed-in business cards are merged into one list, deduplicated, and checked for a consent flag per contact. Structured data, fixed rules.
Marketing · Process breakdown
Run the post event follow up on rules, let AI draft the personal notes, and give the warm conversations to a person the same week.
The event follow-up email is where most trade show and conference leads go cold. The list sits in a spreadsheet for a week, the thank-you goes out late, and the warm conversations get the same template as everyone else. Post event follow up is really two processes: a routine one, loading contacts and sending a standard sequence, which should run on rules within a day, and a personal one for the people who actually talked to you, where AI can draft and a person should send. Start by fixing the routine part, because speed matters more than polish there.
Badge scans, sign-up forms, and typed-in business cards are merged into one list, deduplicated, and checked for a consent flag per contact. Structured data, fixed rules.
The workflow creates or updates each record, tags it with the event and session, and assigns an owner by territory or account. Matching on email and company prevents the duplicates that make later reporting useless.
A thank-you with the slides or recording goes out within a day, followed by a short sequence spaced over the following weeks. Same content for everyone who did not have a specific conversation.
AI reads the notes reps took at the stand and the early replies, and suggests which contacts asked a specific question, mentioned a project, or asked for a call. That sorting from free text is a fair job for a model.
For the warm contacts, AI drafts a short email that refers to the actual conversation and proposes one next step, using only the recorded notes. The rep edits and sends it under their own name.
Calls, demos, and anything involving pricing or a proposal belong to a named person from that point on. The automation has done its job when the handover is fast and visible.
Use the next event. Automate the list clean-up, the CRM import, and the first thank-you email only, and keep the personal notes manual. Measure the hours between the event closing and the first email, the duplicate rate in the CRM, and how many replies the sequence gets compared with the last event.
Sending one generic sequence to everyone, including the person who asked a detailed question at the stand. Speed is only worth something if the warm contacts get a human reply.
The standard thank-you within one working day, while people still remember your stand or session, and the personal notes for warm contacts within two or three days. That is why the routine part should run on automation: the list, the CRM import, and the first email should not wait for someone to find time. The longer sequence can be spaced over the following weeks.
It can draft them from good notes. If the rep recorded what was discussed, the company, and the next step, AI turns that into a short, specific message quickly and in a consistent tone. Without notes it will invent plausible details, which is worse than a template. Keep the human approval step, and treat the quality of the notes as the real bottleneck.
Anyone who had a real conversation: asked a specific question, described a project or a problem, requested a call, or is at an account you already care about. Everyone else, such as scans and passers-by, gets the standard sequence. AI can help sort the two groups from the notes and replies, but the owner confirms the split, because that decision determines who gets a person’s time.
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