Enter the market knowing who will say yes
Predict real market reactions with
synthetic audiences
Deepsona is the all-in-one predictive marketing simulation platform that lets you build and validate against lifelike synthetic audiences. We deliver high-fidelity insights so you know which ads, content, pricing, products and ideas will perform - all before your first dollar goes to Meta or Google.
Ask 1,000,000+ AI Personas
Build multiple custom audiences of up to one million AI personas each.
Predictive accuracy
Deepsona delivers structured and confidence scored predictions across 5 content types, enabling marketers to validate and forecast performance before spending on live campaigns. Initial synthetic audience simulations consistently achieved 74-90% predictive alignment with real campaign outcomes and actual human responses from YouGov and GWI. Results may vary depending on input quality, audience size, content type, target segment diversity and prompt design.
%
Predictive alignment
Measured against real campaign outcomes and actual human responses from YouGov and GWI.
%
Repeatability
Consistent output across repeated simulation runs.
Fully agentic framework
Unlike AI chatbots such as ChatGPT that give a single response, Deepsona runs large scale simulations with tens of thousands to over 1,000,000 synthetic AI personas. Deepsona's orchestration combines Persona Factory, Exposure, Debate, Scoring, QA and Insights agents to deliver statistically reliable results at population scale.
%+
Statistical confidence
vs ChatGPT, Gemini, Claude and Perplexity.*
x
Higher result stability
vs a single AI chatbot output.*
Operational impact and cost efficiency
Teams identify winning creative, pricing or ideas before launch, saving weeks compared to traditional A/B testing. By filtering low performing variants upfront, marketers move faster and allocate budgets more effectively. This reduces wasted spend on live campaigns that fail to convert.
x
Faster decision cycles
Compared to traditional A/B testing workflows.*
%
Reduction in exploratory media spend
Eliminating weak variants before launch.*
Built on trusted AI and infrastructure platforms
Run high-fidelity audience simulations in minutes.
Build audiences that mirror your real market
Build and validate against lifelike synthetic audiences, where each AI persona is modeled using psychographic, socioeconomic and the Big Five (OCEAN) personality frameworks. Unlike simple models, our Persona Factory Agent enforces complexity across traits, values, category familiarity and price sensitivity. From ad campaigns to pricing strategies, Deepsona simulates how real audiences respond before you launch. Each run delivers ranked insights, ready to act on immediately.
Build Custom Audiences
Build synthetic audiences with full control over size, demographics and behaviours. Define target roles, age ranges, income brackets, education levels and locations. Deepsona automatically applies advanced psychographic modeling, including Big Five personality distributions, category familiarity and price sensitivity. Create audiences of any size, from small test groups to large scale segments. Each persona is unique and mirrors real population patterns. Urban design professionals behave differently than suburban families. Early adopters respond differently than cautious buyers. These differences translate into clear, structured signals that show how real markets will respond.
Openness
Conscientiousness
Extraversion
Agreeableness
Neuroticism
Test Product Proposition
Describe your product concept, value proposition, key features and target outcomes. Select which audiences will evaluate it. Within minutes, you receive segment level reactions showing which groups connect with your messaging and which remain skeptical. AI personas generate authentic responses (not survey checkboxes) explaining what excites them, what concerns them and what would push them to convert. One segment might love your innovation angle while another prioritizes affordability. Another might question your credibility or need stronger social proof. You see these patterns immediately, along with recommendations for repositioning messages by segment.
Positive Response
Most personas described the offer as ...
Confidence 88%
Run Ad Campaign Simulations
Enter your ad creative components: offer text, primary copy, visual descriptions, call-to-action, budget parameters and target CPA. Run the simulation against your chosen audiences. Each AI persona evaluates your ad as a real consumer would: considering their income, lifestyle, personality and purchase behaviours. They output numeric scores for click probability, conversion intent, trust, clarity, novelty and brand fit, along with written reactions and blocking objections. The platform aggregates these into segment level heatmaps showing which demographics and psychographics respond strongest. Compare multiple ad variants side by side. See predicted lift percentages between versions. Identify which creative elements drive engagement and which create friction. All before your first dollar goes to Meta or Google.
Optimize Email Campaigns
Configure your email elements: campaign name, goal, subject line, preheader text, body copy and call-to-action. Select target audiences that mirror your subscriber segments. AI personas evaluate each component based on their personality traits, communication preferences and behavioural patterns. Introverted personas might prefer direct, no-fluff subject lines. Extroverted personas might respond better to playful, social language. Price-sensitive segments scrutinize value propositions more intensely. The simulation surfaces these preferences explicitly, showing you which subject lines generate curiosity, which body copy builds trust and which CTAs convert - segmented by demographic and psychographic profile. Optimize every element before hitting send to your real list.
Discover Optimal Pricing
Define your product name, description and current price if applicable. Set minimum and maximum price bounds. Optionally specify exact price points to evaluate. The simulation tests each price across your selected audience segments, measuring willingness to pay, perceived value, conversion thresholds and price sensitivity by demographic and psychographic group. High-income early adopters might barely notice a premium price while budget-conscious families hit a hard ceiling at a lower point. You see these patterns visualized across segments with confidence scores. The system recommends optimal pricing by segment and suggests tiered pricing strategies when data shows distinct willingness-to-pay clusters.
Validate ideas
Describe your product or feature idea: name, type, detailed description, problem being solved, target outcome and key features. Choose which market segments should evaluate it. AI personas assess your concept through their personal lens: their pain points, priorities, existing solutions and psychological profiles. A time starved parent evaluates productivity tools differently than a solo entrepreneur. A privacy-focused techie scrutinizes data handling differently than a convenience seeking casual user. You receive explicit demand signals segmented by audience type, along with the reasoning behind positive and negative reactions. See objections you never anticipated. Discover which audiences show genuine enthusiasm versus polite indifference. Make build-versus-kill decisions backed by predictive data rather than founder intuition.
Transform Your Workflow
Know the buyer before the first click
Deepsona helps you understand what works before spending on live campaigns. You can build and test everything in one place: audiences, product propositions, ads, emails, pricing strategies and even early-stage ideas. Simulations run at scale, giving you structured feedback and predictive accuracy that AI chatbots or traditional surveys can't match. The result is a clear picture of what drives performance, so you can make confident marketing decisions without wasting time or money.
With traditional methods, you have to test ideas on real audiences using real budgets, often burning money just to find what works. Half your ads will underperform - that's the nature of testing. Deepsona lets you try out those ideas in a simulation first. Test five ad variations against three segments in minutes. The data shows you the winner before you allocate media spend. Your media budget becomes pure fuel for proven campaigns rather than expensive learning experiments. CAC drops because you're not paying to discover what doesn't work.
Budget burn
Spend first
Paid testing
Expensive validation
Traditional research lies because participants lie - not intentionally, but systematically. They claim preferences that make them look rational, socially acceptable or consistent with their self-image. These biases corrupt your data and lead you to launch campaigns that flop despite 'validation'. Synthetic personas don't perform for researchers. They respond based on modelled behavioural patterns calibrated against real market data. If a high-neuroticism, price-sensitive persona says your product feels risky, that's predictive. If a low-openness persona finds your innovation confusing, that's actionable. You get honest reactions uncorrupted by social dynamics, leading to decisions backed by behavioural truth rather than stated preferences. This turns product and marketing decisions into actions based on real behaviour rather than claimed survey responses.
Marketing and product teams often start with a product and then hunt for an audience. They guess at demographics. Try Facebook lookalikes. Experiment with messaging until something sticks. This backwards approach wastes months and budgets discovering who actually wants the offer. Deepsona changes this order. You can simulate your concept across dozens of demographic and psychographic segments at once. The heatmap highlights which groups respond with high conversion intent and which remain cold. A SaaS tool may resonate with ambitious solopreneurs while confusing enterprise buyers. A sustainable product may attract eco-conscious millennials while price-sensitive families require a different value frame. These patterns appear in your first simulation before building a brand, writing ad copy or launching a campaign. You develop your go-to-market strategy around segments that already want the offer instead of trying to win over skeptical audiences. You reach product market fit faster because you know where the strongest pull exists before you commit resources.
Validate at scale
Why teams use Deepsona
Synthetic audiences are changing how companies test ad campaigns, MVP ideas, pricing and products. They offer immediate, scalable insights without the cost of real world exposure.
Instant results
Most simulations complete in 2-5 minutes. Enter your campaign details, select your audience, run the simulation. While your coffee brews, you receive segment level heatmaps, persona reactions, confidence scores and ranked insights. Traditional research requires weeks of planning, recruitment, data collection and analysis. We deliver actionable intelligence before your competitor's focus group even schedules.
Unlimited Scale
Survey panels cap at hundreds of responses due to recruitment costs. Focus groups max out at 8-12 participants. Deepsona simulates thousands of personas per run with no additional cost. Want to evaluate ten market segments simultaneously? Twenty? Test against them all in a single simulation. Scale your research without scaling your budget.
Zero Bias
Real research participants lie, not maliciously, but predictably. Social desirability bias makes them claim they'd buy your premium product when they wouldn't. Acquiescence bias makes them agree with your framing. Synthetic personas respond based on their modelled traits and behaviours, not what makes them look good to researchers. You get authentic reactions uncorrupted by survey dynamics.
Segment performance
Deep Segmentation
Traditional demographics give you shallow buckets: 'women 25-34'. Our personas carry psychological depth, OCEAN personality traits, lifestyle values, category familiarity, price sensitivity, channel preferences and behavioural patterns. You discover that not all millennials respond alike. Urban tech-savvy introverts behave differently than suburban extraverted families despite sharing age brackets. Segment by psychographics, not demographics, and your targeting precision multiplies.
Risk-Free Testing
Real A/B tests require live budget, real audiences and time to reach statistical significance. Bad tests waste thousands proving what does not work. Deepsona lets you test ten variations before spending a dollar on media. Kill the losers in simulation. Launch the winners in reality. Your first real campaign runs with confidence.
Continuous Iteration
Need to tweak your headline? Adjust pricing? Test a new CTA? Run another simulation in minutes. No waiting for panel availability, recruitment cycles or budget approval. Iterate as fast as you type. Refine your messaging through rapid simulation cycles until segment responses converge on optimal configurations, then launch knowing what works for whom.
Synthetic marketing data is reshaping how companies make decisions
For decades, marketers relied on surveys, focus groups and historical data to understand audiences. These methods carry systematic flaws: response bias, small samples, slow turnarounds and high costs. Synthetic data (AI-generated personas modeled on real behavioural patterns), solves these problems. Here's what industry leaders and researchers are saying about the shift:
"When used correctly, synthetic data accelerates our understanding of human behavior, especially for underrepresented audiences. That's really important in today's world."
Jane Ostler
EVP, Global Solutions Marketing and Thought Leadership, The Drum
The Drum
Source
Protected data, guaranteed
Your simulation results stay private.
We are a UK-based, GDPR compliant company and handle your data with enterprise-grade security. Your simulations, audiences and content are processed only within secure environments and never used for model training or shared with third parties. Every project remains confidential, giving you full control and peace of mind when running sensitive tests or validating market ideas.
Not 100% Sure Yet?
What Others Asked Before Joining Deepsona
If this still sounds unreal, you're not alone. Below are the questions others asked before seeing how Deepsona works in practice.
Deepsona is the synthetic audience simulation platform for predictive marketing. Built at the intersection of behavioral science and AI modeling, Deepsona enables brands to validate creative, pricing, messaging, ideas and positioning through lifelike synthetic audiences that mirror real-world reactions at scale. The platform provides actionable, measurable insights into market responses, turning marketing strategy from uncertainty into reliable data.
Our platform combines large scale persona generation, interaction modeling and sentiment evaluation into a single, cohesive simulation flow.
Every test produces measurable behavioral data, giving marketers and product teams the foresight into what will convert, resonate and perform in the real market. The result is faster validation, reduced spend and higher confidence in every go-to-market decision.
Deepsona is built for a new era of marketing, one where predictive insight replaces retrospective analytics. By transforming static research into dynamic simulations, we empower teams to know what works before they launch.
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