Campaign simulator

Set up a simulation

1. Open Simulator in the AI Email Marketing menu.
2. Load the sequence of an existing campaign, or write the emails on the page.
3. Describe who you are writing to: job titles, industries, company size, regions, pains, the tools they use now, objections and their buying stage. These start from your AI Training.
4. Say what you sell, so the prospects know what they are reading about.
5. Tick Test a second version (B) to compare two sequences.
6. Choose how many AI prospects to simulate (500 to 20,000) and whether to repeat the run and average it, then click Run simulation.

What happens

• Nothing is emailed. The simulator never uses your mailboxes or your campaigns.
• A representative group of AI prospects (up to 400) reads the whole sequence, and the results are scaled to the number you chose.
• It runs in the background and usually takes a few minutes. You can leave the page.

Read the report

• The headline shows the predicted reply rate, interested replies, meetings and unsubscribes, each with a likely range.
• A vs B says which sequence is likely better, or that they are too close to call.
• What holds it back ranks the main reasons people would not reply, with the words from your emails that put them off and a fix for each.
• Below are replies by email, top objections, reply rate by title and industry, and sample replies the AI prospects wrote.

Improve and launch

• Generate improved copy rewrites the sequence to fix what the report found. Your current copy becomes A and the rewrite B, ready to test again.
• Re-run repeats the simulation with a fresh set of answers. Earlier runs are listed so you can compare them.
• Create draft campaign puts the tested sequence into a draft campaign. Nothing is sent until you add recipients and launch it.

Credits and accuracy

• Each AI call covers 10 prospects and uses credits. The page shows the cost before you run. With your own AI key it uses no credits.
• Calls that fail are refunded.
• It is a prediction from AI prospects, not a guarantee. It is most useful for comparing versions and finding weak spots.