Audiense
Identify & understand any audience, no matter how specific/unique it is. Create reports using filter options such as user profiles, affinities, demographics & job roles, creating highly personalised audience segments. Make better marketing decisions, adapt your targeting, improve relevancy & drive high-performance campaigns at scale.
WHAT ARE WE TRYING TO SOLVE?
- Time-consuming, static & expensive traditional consumer research
- Social data to become a part of the strategy
- Brand strategy & personalisation is very tactical at the expense of performance marketing
WHAT MAKES US UNIQUE
Audiense segments audiences by interconnections between people (“Who knows who”). Thanks to how those connections are created between consumers (“How they know each other”), we can infer their shared interests & affinities. Our unique social consumer segmentation provides a great data foundation to Persona development, understanding the audience s that matter most or find new audience opps.
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PersonaHive
PersonaHive is an AI-powered consumer research platform that helps teams evaluate messaging, pricing, positioning, campaigns, and product concepts using AI personas calibrated on real survey data.
Marketers, product teams, agencies, and startups use PersonaHive to compare alternatives, understand different audience segments, and validate decisions before investing significant time and budget. Instead of waiting weeks for traditional studies, teams can explore new ideas, iterate quickly, and access consumer feedback within minutes.
By reducing the cost and complexity of research, PersonaHive makes consumer insights more accessible and helps organizations make decisions with greater confidence.
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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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