Benchmarking Digital Twin Efficacy for B2B Research: An ITDM Buyer Preference Study
A statistical validation study across 35 Likert-scalequestions measuring digital twin accuracy forpreference and attitude measurement
Prove Client Impact with
Benchmark‑Validated Digital Twins
Less than half‑step error on a 5‑point scale (MAE 0.44).
28–34% lower error than baseline AI, neutral, and random approaches.
Validated on 40 IT decision‑makers across 35 attitudinal questions.
Learn How Digital Twins Stack Up—And Where to Use Them
This report shows how Emporia Digital Twins were validated against real IT decision‑makers on 35 Likert‑scale questions spanning technology priorities, vendor evaluation, and purchasing preferences. The twins delivered a mean absolute error of 0.44—beating a profile‑only baseline, midpoint, and random strategies—with statistically significant results and moderate‑to‑large practical effects, so you can deploy twins confidently in early‑stage work.
- Evidence your claims with clear, simple benchmarks.
- Mirror real buyer patterns for segmentation work.
- Use immediately for concept, messaging, and preference reads.
Download Your Free Whitepaper
Complete the form below to receive instant access to your guide on successfully positioning and selling B2B synthetic audiences.
Unlock Benchmark‑Validated B2B Insights with Digital Twins
See how Emporia Digital Twins beat baselines across 35 buyer‑preference
questions with statistically significant gains.