What
if...
Nothing changed.
Markets change. So do people’s preferences. Try different possibilities with synthetic consumers before you decide.
Request early access What else could change?Start with today. Compare the other scenarios with this baseline.
The figures are examples, not research results.
Each dot is a synthetic consumer.
Build the sample you want from more than 50 socioeconomic and demographic attributes such as age, income, city and shopping channel.
A synthetic consumer is a digital person with a profile that resembles a real person’s. We draw on statistical distributions and past consumer research to build the profiles.
If you prefer, you can start with a ready-made sample that matches Türkiye’s population. Either way, each profile is represented by its own AI agent.
The dots become a voice.
Each dot is a person; every person’s answer is collected and analysed.
The same question goes to every person in the sample. Each one weighs it against their own budget and needs, and explains which option they prefer and why.
Side by side, the answers form a distribution. In this example, you can see the prices where demand clusters and the price beyond which it thins out.
The voice becomes a decision.
Every synthetic consumer’s answer is recorded. The answers are analysed, broken down by segment and turned into outputs you can act on.
In this example, the distribution comes down to two findings: the average purchase price and the demand drop. The drop is the price range where demand falls quickly as the price rises.
The report shows the results separately by age, income and other profile attributes, and you can download it as a PDF or Excel file. The responses are model outputs. The decision is yours to make, in light of these findings.
What is the secret of success?
Leave room in your first-quarter plan
for a few possibilities.
New year.New price?
See how a new price changes preference and revenue.
Try a priceWhich featuremakes the difference?
Battery life, noise cancellation, price. What matters most?
Compare the features
Same product.Two package designs.
See which design people prefer.
Compare the packagesThey liked it.But why?
Hear the reasons behind the choice.
Explore the conversationThey remembered the ad.Did they buy?
Measure whether the message sticks and whether it drives purchase intent.
Test the adThree options.Which one wins?
A short question, a clear distribution. Get hundreds of answers in minutes.
See the answersTwo designs.Which one gets worn?
Colour, cut and price. Which design do people prefer?
Compare the designsWhat can a study
tell you?
Sell more,or earn more?
In this example, ₺175 delivers the highest revenue among the prices tested.
Three products.One has an edge.
X leads with this product and price combination, 16 points ahead of Y.
Price had thebiggest influence.
Price comes first. Together, quality and brand account for almost half of the responses.
Not every featurematters equally.
Reliability and ease of use lead. Design has the lowest importance share in this example.
Interest.And some hesitation.
“This feature would make life easier.”
“I’d like to see what’s actually different.”
A preference for trying the small size first.
People are open to trying it. They want to understand the difference and start small.
Everyone remembered.Few wanted to buy.
The brand was remembered. Purchase intent reached only 28%. Read both measures together.
From an SCL report · Results from one synthetic studyExplore this report
Define your audience.
Or discover it.
Know who you want to ask? Choose their attributes. Still exploring? Start with your research question.
“Who should I ask?”
Describe your product and research question. Discover your audience with relevant segmentation data.
Synthetic people that learn from real consumer data.
Research experience, statistical data and AI, together.
Explore the research behind itResponses are model outputs, evaluated against real consumer research.
Hover over or select a layer to explore how a profile takes shape.
We draw on studies conducted with Research Istanbul, comparing simulation results with findings on what people choose and why.
A consumer profile is more than an age. We consider income, location and shopping habits alongside statistical distributions to define the audience for each study.
Each AI agent represents a consumer profile. It evaluates the product, price and conditions through that profile, explaining which option it prefers and why.
Have a question?
Let Argus answer it.
Tell Argus what you want to learn: the kind of research you have in mind, the audience and the questions you want to ask. Let Argus design your audience, your study and your questionnaire, and report back within minutes.
I want to compare prices of 150, 175 and 200 TRY for my new coffee.
- 01 Research
- Pricing analysis
- 02 Target audience
- Coffee drinkers
- 03 Example question
- At which prices would you choose this product?
Your questions, answered.
A synthetic consumer is a digital person with attributes such as age, income and shopping habits, and a profile that resembles a real person’s. It answers your research questions according to those attributes. You can define your own audience or choose a ready-made sample that matches Türkiye’s population.
We compare numerical results with real consumer studies and measure the differences. For open-ended responses, we look at the themes that emerge in each study and how closely they overlap.
It depends on the study. Pricing tests show demand and revenue curves; surveys show response distributions; focus groups reveal themes and comments. You can compare results by age, income and other profile attributes, and download the report as a PDF or Excel file.
You can interview a single synthetic profile. For other research methods, we recommend at least 100 synthetic participants.
Quantitative research answers numerical questions, such as how many people prefer each option. Qualitative research explores the reasons through open-ended questions. In SCL, use pricing tests and surveys for the former, and focus groups for conversations with participants.
Timing depends on the method, number of questions and number of participants. Your report appears in your account when the study is complete.