Aetherya

Blog

Andrei Dan

Founder, Aetherya

9 notes

AI concept testing: how to screen product ideas before you build them

Use synthetic audiences to find concepts buyers misread or disbelieve, then take the survivors to real buyers and a demand test.

Andrei Dan
September 29, 2026

Ad creative pretesting: what to check before you pay for impressions

Check brand recall, offer comprehension, and credibility before launch, then send two variants with a written hypothesis into a live split test.

Andrei Dan
September 29, 2026

Customer digital twins in market research: what the evidence supports

Individual and population digital twins differ in evidence, privacy, and fit. Learn what current research shows and how to validate a twin before trusting it.

Andrei Dan
September 29, 2026

Synthetic audience tests: a practical guide to their uses and limits

Learn where synthetic audience testing helps, where it fails, and how to combine it with human research and live experiments.

Andrei Dan
August 23, 2026

AI focus groups vs AI-moderated human interviews: choose the method by the evidence you need

Compare synthetic AI focus groups with AI-moderated interviews of real people, including when each method fits concept testing, discovery, and validation.

Andrei Dan
August 23, 2026

A landing page should pass this test before it gets live traffic

Use cognitive pre-testing to find unclear, untrusted, or weak landing-page variants before spending traffic on an A/B test.

Andrei Dan
August 23, 2026

White-label synthetic audience research for agencies: a buyer's guide

Learn how agencies can package synthetic audience research without overstating the evidence, including workflow, reporting, and client safeguards.

Andrei Dan
August 23, 2026

Synthetic users vs real user research: choose by the evidence you need

Compare synthetic users with research involving real people and learn which method fits concept screening, discovery, usability, and validation.

Andrei Dan
August 23, 2026

Pricing message testing before launch: a practical research workflow

Test pricing-page comprehension, fairness, trust, and plan fit before launch, then validate the strongest version with real customers and experiments.

Andrei Dan
August 23, 2026