Head-to-head · Back to the report
Who your audience would pick
between you and 3 competitors
Your rank
#1 of 4 first choice · 72 of 100
Your page was the first choice for 72% of the audience, ahead of Deepsona at 12%.
First choice · share of the audience
- 01Your page72%
- 02Deepsona12%
- 03Evelance9%
- 04Electrictwin7%
Everyone saw all the pages and picked one. Shares add up to 100%.
What to steal
3 moves · from why people picked a rivalAdd a 'How accurate is it?' section directly below the hero. State a predictive-alignment range against named external benchmarks (real campaign outcomes, YouGov/GWI-style human response data). Report
Deepsona does this
“Claims 'consistently achieved 74-90% predictive alignment with real campaign outcomes and actual human responses from YouGov and' GWI. Separately reports 64% predictive alignment and 70% repeatability”
Pickers said Deepsona was 'the only page that states its own validation': it named the benchmark sources, gave a range rather than one number, reported repeatability separately and stated caveats. · +~6 of 100 people
Add a row of recognizable customer logos next to your existing pricing and trust signals, with a 'View the case study' link under them. Add one concrete head-to-head proof line, e.g. 'We ran the same
Evelance does this
“'We ran the same product past 23 real people and 7 Evelance personas. The themes overlapped in 11 of 13 categories', plus a 'View the case study' link.”
Pickers wanted 'the most proof I could take to a CEO': recognizable client logos, linked case studies and a specific accuracy claim alongside pricing. · +~4 of 100 people
Add an 'For insights & research teams' block. Say personas are built from the buyer's own customer data, and that synthetic responses are checked against real survey data the model has never seen. Lin
Electrictwin does this
“'we generate synthetic responses, then compare them against real survey data the model has never seen'. Testimonial: Chris Courtney-Smith, Director of Data Operations, The Times: 'We went from rationi”
Pickers said it was 'the only page built for research teams': audiences built from their own customer data eased staleness worries, and the dedicated Accuracy page compared it against surveys and focus groups. · +~3 of 100 people
Why they picked a rival
Top reasons · in their words- 01Deepsona is the only page that comes close to my real question, whether predictions match live results. It cites 74–90% alignment with real campaign outcomes and names Meta and Google spend. The others lean on general accuracy claims or on other people's research.
- 02Deepsona is the only page that directly answers my core doubt: it claims 74-90% predictive alignment with real campaign outcomes, cites the YouGov/GWI benchmarks and a 2M-simulation base, and caveats the results, though its 64% headline figure is confusingly inconsistent with tha
“Show me that predictions track real campaign results and I'll try it. Deepsona at least puts a number on that and mentions Meta and Google. URA gives me Harvard papers, not its own validation data.”
Skylar · The Ad-Spend Guardian
- 01Evelance offers the most complete proof package for skeptical stakeholders: recognizable customer logos, linked case studies, a specific accuracy claim, pricing and a free trial. URA's sample report and research citations come close, but its credibility is borrowed from academic
- 02Evelance covers the most of my three must-haves: a pricing page, linked case studies, recognizable customer logos for CEO credibility, and a real product UI that suggests my team would actually adopt it. URA's sample report is compelling but it lacks customer case studies.
“If I'm putting this in front of my CEO, I need to show that companies like Meta and Samsung actually use it, plus case studies. Evelance gives me that. URA's sample report is tempting, but Harvard research doesn't prove”
Sawyer · The Opinion-Loop Breaker
- 01Electric Twin best addresses my two biggest worries. Its 'Synthetic audiences built from your customer data' line speaks directly to grounding personas in my real ICP. Its dedicated Accuracy page and enterprise logos (Channel 4, Virgin, Sage) give me something defensible to show
- 02Electric Twin best fits my research-throughput goal and enterprise needs. It builds personas from my own customer data, which addresses staleness. It has a dedicated Accuracy page, names an Insights & Research team use case, and frames the research agent as accelerating existing
“If I'm going to put the words 'synthetic audience' in front of my leadership, I need personas built from our own customer data and logos they recognize. Electric Twin gets closest to that. I still need to see their secur”
Moss · The Messaging-First Product Marketer
Who each audience type picked
8 typesWhat the audience said
2 of 100 responsesPicked you
“It's built for exactly what I'm doing, and I can run my page free with no card and see the sample report first. I'd still like to see their own predicted-vs-real CVR numbers instead of Harvard citations, but there's almo”
AlexThe Ad-Spend Guardian
Picked Deepsona
“Show me that predictions track real campaign results and I'll try it. Deepsona at least puts a number on that and mentions Meta and Google. URA gives me Harvard papers, not its own validation data.”
SkylarThe Ad-Spend Guardian