Test campaigns on simulated customers first

The usual test is to launch, split the budget and wait for the platform to report. Small budgets rarely reach a clear answer, the numbers say what happened but not why, and by the time an ad is called a loser it has already spent. A check before launch will not replace that test. It catches the pieces that were never going to work.

• Ads and videos: who would stop, click or scroll past, and why.
• Landing pages: whether the page keeps the promise the ad made.
• Emails: who would open, read and act, and what puts people off.
• Copy: headlines, taglines and offers compared on the same simulated people.

Ad creative. Drop in the image, or a video of up to 3 minutes, and describe the audience the way you would target it. Each simulated person sees it as it would show up in their feed and decides to scroll past, glance, stop or click, and says why.

Campaign landing pages. Paste the page and read the objections. A page that works on its own can still lose the people who arrive from a specific ad.

Emails. Paste the email with its subject line. Each simulated recipient sees it land in their inbox and decides whether to ignore it, skim it, read it or act on it.

Copy. Compare two headlines, taglines or offers on the same simulated people in the headline tester, or test a longer message as copy.

Ad testing Message testing

Many campaigns lose people at the jump from ad to page: the ad promises one thing and the page leads with another. Save the audience from the ad test and run the landing page on the same simulated people. If their objections on the page are about something the ad promised, the two do not match.

Describe the audience as the people who clicked, such as "small business owners who clicked an ad about faster invoicing", so the page test starts with the expectation the ad set.

Use it to cut the list. If you have six ad ideas and budget for two, drop the ones people misread or do not believe, and put the live budget behind the rest. Mimiq's forecast has held up on headlines. In pre-registered tests on emails, text messages and ads, it was no better than chance at ranking small wording changes, and on real web page tests it did not beat the simplest guess.

So it will not pick the winner between two close variants, and it will not give you a click-through rate, a cost per click or a return on ad spend. The counts in a report describe simulated people, not your campaign.

Write the audience the way you set up targeting: role, industry, company size, country, interests. If a campaign runs in two markets, describe both, and the segments will show where they split.

If you have a customer list, import it from a CSV as simulated twins, with names, emails and phone numbers stripped before upload. Twins are still simulated.