AI Sales Plays

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Play · Follow-up
For sellersFor sales leadersAI that flags no-shows and drafts the email (tool not named); rep edits and sends

Send the no-show follow-up the same day, drafted by AI

Picked and checked by Olga Pearson, SalesUpLevel

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The resultas reported

Reported: stalled pipeline from missed meetings fell from 39% to under 26% in two weeks; conversion on recovered deals nearly doubled; about $100K pipeline from this group in under a month.

Reps handle demo no-shows inconsistently: some chase, some ping twice and quit. Make the no-show itself trigger a same-day, AI-drafted note that the rep tweaks and sends, so nobody has to remember.

By Jake Dunlap (LinkedIn /in/jakedunlap), CEO, Skaled Consulting · Jake Dunlap on LinkedIn ↗ · Oct 7, 2026

If you sell: run it before your 10am

  1. Define the trigger: meeting marked no-show (or no join after 10 minutes).
  2. Same day, AI drafts the follow-up from the meeting's purpose and the last exchange.
  3. Rep edits and sends; save the edits, they show what a good note looks like.
  4. Track: share of no-show deals that stall, rebooked rate, and pipeline recovered.
  5. After a month, decide whether to automate fully (he plans to test that in month two).
Copy-paste prompt · Our template version (the post gives no prompt)
[Prospect name, title, company] missed our [demo/meeting] today. The meeting was meant to cover [purpose]. In our last exchange they said [quote or summary]. Write a same-day email under 80 words that does not guilt them, restates in one line what they wanted to get out of the meeting, gives one useful thing (a short answer, a 2-minute recording link placeholder, or a relevant example), and offers two specific times in the next 48 hours plus a link to pick another. Use only the facts above.

If you lead a team: roll it out

  1. Report the no-show stall rate weekly by rep; it shows who lets missed meetings die.

Watch out for

  • A consulting client's results told by the consultant; client unnamed; two weeks of data.
  • Numbers are relative (39% to under 26%); "nearly doubled" is not exact.

Source: Jake Dunlap, Jake Dunlap on LinkedIn, Oct 7, 2026. Results are as reported by the source; we did not measure them.

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