POPJAM
POPJAM simulates your audience to discover the winning hooks—and generates variants (copy + creatives) tailored for each segment.
Just a website URL is enough for POPJAM agents to deep research your product and competitive landscape, build the right target audience segments, craft synthetic but hyper-realistic personas with user behavior modeling and then generate hyper-personalized, high converting ads that speak to them. You can pre-test your ad creatives on these synthetic personas and iterate new variants based on the feedback.
Preliminary Research:
Context engineering of your brand and industry sets the winning foundation.
Synthetic Personas:
Buyer behavior modeling that matches your target audience segments.
Simulation Feedback:
Personas react to ads with detailed feedback to find the best angles.
Variants & Iteration:
Autonomous generation of high-converting ad variants at scale.
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C5i Synthetic Audiences
C5i’s Synthetic Audiences is an AI-powered consumer insight solution that creates hyper-realistic virtual personas to mirror real consumer attitudes, behaviors, and preferences so teams can generate rapid, scalable market understanding without recruiting real respondents. It uses demographic, behavioral, and social listening data combined with generative AI models to simulate market-like feedback for concept testing, message evaluation, segmentation analysis, and strategic validation in hours instead of weeks, overcoming the time, cost, and logistical limitations of traditional surveys and panels. These AI-generated virtual consumers behave like real target segments, enabling brands to test product ideas, pricing, messaging, UX flows, and strategic hypotheses at scale while reducing privacy risk and panel recruitment overhead, and to gain directional insight early in the research cycle.
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Deepsona
Deepsona is an AI-powered market research platform that uses synthetic audience simulations to generate predictive consumer behaviour insights. Built on behavioural science and advanced AI modeling, the platform enables marketers, market researchers and product teams to evaluate commercial viability, test messaging strategies and assess market acceptance before launch.
The platform combines large-scale persona generation, interaction modeling, and sentiment analysis into a unified simulation engine. Users can run concept tests, pricing experiments, and positioning evaluations that produce high-fidelity predictive data on consumer responses.
Key capabilities include multi-trait synthetic AI personas, automated sentiment evaluation, and conversion likelihood modeling. Deepsona transforms traditional market research from retrospective analysis into forward-looking simulation, enabling faster validation cycles and data-driven go-to-market decisions.
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Electric Twin
Electric Twin is an AI-powered synthetic audience simulation platform that builds virtual populations from real data so teams can instantly predict how target consumers will think, behave, and respond to products, messages, campaigns, and strategic questions without running traditional surveys or panels. It combines large language models, machine learning, and social science theory to create detailed synthetic personas that mirror real-world audiences and can be queried to produce quick, distribution-accurate insights that match the statistical patterns of live research with high fidelity, often achieving accuracy comparable to conventional methods but in seconds instead of weeks. With tailored synthetic audiences, organizations can test copy, product ideas, campaigns, and market assumptions, iterate quickly across segments, explore reactions from different demographics, and accelerate understanding that would normally require costly, slow field research.
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