AI Simulator

Test the campaign before real people see it

Describe your ideal prospects and ZicReach builds a population of AI prospects that react like them. Run your sequence on it, see what holds it back, fix it, then launch for real.

Get Started Free Get a demo

100 free credits when you sign upNo card required

500 to 20k AI prospects in one population
A vs B on the same population
0 emails sent while you test

AI SimulatorAt a glanceLive in the app

AI prospects in one simulated population: Included; 500 to 20k; AI prospects in one simulated population
two versions of a sequence, side by side: Included; A and B; two versions of a sequence, side by side
sent while you test, to anyone: Included; 0 emails; sent while you test, to anyone
campaign created when you launch for real: Included; Draft; campaign created when you launch for real

How it works

A test run for your outbound

Four steps, from who you are writing to, to a draft campaign ready to send.

01Step 1Describe
02Step 2Simulate
03Step 3Diagnose
04Step 4Improve

01Describe

Step 1: Describe the people you want to reach

A step by step form asks who you are writing to: job titles, industries, company size, regions, their pains, the tools they use now, the objections you hear, their buying stage and what you sell. It starts filled in from your AI Training.

Titles, industries, size and regions
Pains, tools and objections
Buying stage and your offer

02Simulate

Step 2: Run your sequence on AI prospects

ZicReach builds a population of 500 to 20,000 AI prospects from that description and sends them your sequence, version A and an optional version B. Nothing is emailed. The report shows predicted reply rate, interested replies, meetings, unsubscribes and how spammy it felt, each with a likely range.

Up to five emails per sequence
A vs B on the same population
Every number with a low to high range

03Diagnose

Step 3: See what holds the campaign back

The report names what is costing you replies, with a fix for each one. It lists the top objections, maps reply rate by segment so you see which titles and industries respond, and shows sample replies the AI prospects wrote back.

What holds it back, with a fix
Top objections and a segment heatmap
Sample replies, in their words

04Improve

Step 4: Improve it, re-test, then launch for real

Generate improved copy from the report and run it again on the same audience to compare. When a version wins, Launch for real creates a draft campaign with that sequence, so you add leads and mailboxes and press start yourself.

Generate improved copy in one click
Re-run and compare with earlier runs
Launch for real as a draft campaign

A simulation, not a guarantee

Real people still decide. Use the simulator to find the better version before they see it.

Where reply rates land in the simulator

Predicted reply rate

Up to 0.09%: of the prospects contacted reply interested, in an excellent campaign
About 40%: of interested replies become a booked meeting

Compare versionsThe simulator is at its best telling A from B, or this run from the last.
Change one thingChange the subject, the offer or the audience, then re-run to see what moved.
Read the rangeEvery number comes with a low to high range. Treat it as a range.

What changes

Find the weak email before your list does.

Before and with ZicReach

Before: Spend a list to learn the copy was wrong
With ZicReach: Test on AI prospects first, then send the winner

Capabilities

Everything in the simulator

Audience

Who you are writing toJob titles, industries, company size, regions, pains, tools and objections, filled in from your AI Training.
Buying stageNot aware of the problem, aware of it, looking at solutions, comparing vendors now, or a mix.
Population500 to 20,000 AI prospects that react like the people you described.

Sequence

Start from a campaignLoad an existing campaign's sequence, or write the emails in the simulator.
A and BTest a second version against the first on the same population.
Repeat and averageRun the same test more than once and average the results.

Report

Predicted resultsReply rate, interested replies, meetings, unsubscribes and spam feel, each with a likely range.
What holds it backThe problems costing replies, each with a fix.
Objections and segmentsTop objections, reply rate by segment and sample replies.

Next steps

Generate improved copyA new version written from the report, ready to re-test.
Compare runsPut this run next to earlier ones to see what changed.
Launch for realCreates a draft campaign with the winning sequence. Nothing sends until you start it.

FAQ

Questions, answered

The six things people ask us most, in short answers.

Is the simulator a guarantee of results?

No. It is a simulation built from the audience you describe, not a promise of what real people will do. It is best used to compare versions of a campaign and to catch weak copy, offers or targeting before you send.

What reply rate should I expect to see?

An excellent campaign lands around a 2.5 to 3% reply rate in the simulator, with interested replies at up to 0.09% of the prospects contacted and about 40% of those booking a meeting. Weaker copy, a weaker offer or an audience that fits less well scores lower.

Does the simulator send any email?

No. Nothing is emailed during a simulation. Launch for real only creates a draft campaign, and it sends nothing until you add leads and mailboxes and start it.

How much does a simulation cost?

It uses credits per simulated prospect, so a larger population costs more. The exact price is shown in the app before you run, next to your credit balance.

How big can the AI prospect population be?

From 500 to 20,000 AI prospects. They are built from your description, so a clear description of titles, pains and objections gives a more useful result.

Can I test two versions at once?

Yes. Switch on a second version (B) and both run on the same population, so the report can show A vs B side by side.