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  • What Is Bigword?
  • Simulation
  • Use Cases
  • How It Works
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Decision Simulation Platform

Before you decide, ask the digital twins.

What Is Bigword?

Bigword AI is a decision simulation platform that creates digital twins of your customers and communities, allowing you to engage with them directly. Test scenarios and gather insights for your products and campaigns without relying on costly surveys.

  • What Is Bigword?
  • Simulation
  • Use Cases
  • How It Works
  • Security
TR
  • What Is Bigword?
  • Simulation
  • Use Cases
  • How It Works
  • Security
  • FAQ
  • Contact
ENGTR

Capabilities

What Can Bigword Do?

Engage audiences, move faster than field research, manage your pool, and explore sensitive questions, safely inside your organization.

  • Directly Engage with Customers and Audience

  • Lower Cost and Faster Turnaround Than Field Research

  • Manage Your Own Customer and Community Pool

  • A Controlled Environment for Sensitive Questions

The Advantage

Why Bigword AI?

Conduct research in the Bigword AI universe without the need for customer data.

CriteriaBigword AIField SurveysFieldFocus GroupsFocusCustomer PanelsPanels
Time to ResultsMinutes2–6 weeks3–8 weeksDays to weeks
CostFixed subscriptionHigh per projectVery high per sessionHigh annual commitment
Sample SizeUnlimited200–2,0006–12 participants500–5,000

Incarnation

Competitive Market Simulation

Choose your focus area, then define scenarios and simulations to generate.
Results appear once the run completes.

Use Cases

From pricing and positioning to crisis and copy, simulate how audiences respond before you commit real budget, headcount, or calendar time.

  • A/B Messaging & Narrative Testing

    Know which framing, rational upside vs. emotional pull, actually moves outcomes, before you scale media spend.

  • Price Elasticity Testing

    Model revenue effects of price moves and trade-offs without exposing live customers to risky rollouts.

  • Competitive Sentiment & Product Market Fit

    See what drives loyalty to rivals and where share is there for the taking, before you reposition the brand.

  • Customer Value Segmentation

    Group customers by how they feel about you, not only by what they spent last quarter.

  • Campaign Virality Forecasting

    Estimate organic propagation paths early, with culturally aware signals instead of vanity engagement scores.

  • Pre-Launch Product & Concept Testing

    Pressure-test launches and narratives without the cost and lag of massive field studies.

  • Psychometric Ad-Copy Generation

    Turn winning test reads into headline and body copy tuned for conversion, not just slide decks.

  • Hyper-Niche Persona Simulation

    Exercise rare, extreme customer profiles that are costly or impossible to recruit in the wild.

  • ICP & Motivation Mapping

    Clarify not only who the buyer is, but the motives, fears, and proof bars that actually close the deal.

Process

How It Works

From audience definition and the digital twin pool through simulation to an executive report your team can act on.

  1. 01

    Audience Definition

    We define which audience to simulate: target segment, behavior criteria, and scope.

    Initial Setup1 day
    Every Subsequent TestMinutes
  2. 02

    Digital Twin Pool

    Anonymous twins are built from public digital traces of real people; profiles are calibrated and validated.

    Initial Setup2–4 days
    Every Subsequent TestSelected from ready pool
  3. 03

    Simulation

    You define your question, scenario, or variations; twins respond.

    Initial SetupHours
    Every Subsequent TestHours
  4. 04

    Executive Report

    Responses become actionable output with rationales and demographic breakdowns.

    Initial SetupAutomatic
    Every Subsequent TestAutomatic

Proof Mechanism

Proof Mechanism

Accuracy is not a number. It is a trust architecture.

  • Validation Loop

    The model is calibrated every 6 months using a scaled field survey to adapt to societal changes.

  • Backtesting

    We run the simulation against your past decisions.

  • Explainability

    Reasons for the outcome and assumptions made differences

SimulatedActual

0%

accuracy

Claims like this are discussed only when proven.

Trust & Security

Strategy Is Sacred. So Is Your Data.

Enterprise-grade safeguards for your strategy and customer data, from encryption and private deployment to compliance and access controls enforced from day one.

  • Privacy by Design

    Twins are decoupled from source accounts, with personal data hosted on GDPR-compliant EU infrastructure.

  • No Private Data Needed

    Your data is not for the simulation or for creating digital twins. We offer our digital twin pool.

  • No Model Training on Your Data

    Your customer and strategy data is never used to train AI models, under any circumstance.

  • KVKK & GDPR Compliant

    Full alignment with local and international data protection standards.

  • Role-Based Access Control

    Each user accesses only the data they are authorized to see, and every action is logged.

  • NDA-First Approach

    Every customer relationship begins with a binding confidentiality agreement.

Your data informs your simulations only.

FAQ

Frequently Asked Questions

The most common questions about the platform, process, security, and demos.

Bigword AI is a decision simulation platform built on digital twins created from publicly available digital traces of real people. You can engage with your customers, target audience, or any segment of society without fieldwork, test products and campaigns in high resolution, and rehearse as many times as you need before you commit budget.

Synthetic and AI personas predict likely responses. Bigword twins are grounded in real human behavior patterns derived from public digital footprints. You are not asking a model to guess; you are simulating how a calibrated audience profile would respond.

No. Your private customer data is not to run simulations or build twins. Bigword offers a digital twin pool you can use out of the box, and you can also create brand-specific customer and community pools to reuse across projects.

Most projects reach actionable output in a few hours. Field surveys typically take 2–8 weeks, focus groups 3–8 weeks, and customer panels days to weeks. After the initial setup, repeat tests often take minutes to hours.

In four steps: define the audience you want to simulate, build or select a calibrated digital twin pool, run your question or scenario variations, and receive an executive report with responses, rationales, and demographic breakdowns.

Common use cases include A/B message and narrative testing, price elasticity, competitive gap analysis, customer value segmentation, campaign virality forecasting, pre-launch product and concept testing, ad copy generation, hyper-niche persona simulation, and B2B ICP and motivation mapping.

Yes. Questions about crisis, pricing, or competitors that you cannot ask customers directly can be explored in a controlled environment inside your organization, without relationship risk or social desirability bias from live panels.

Bigword is designed with privacy in mind: KVKK and GDPR alignment, role-based access control, NDA-first engagements, and a commitment that your customer and strategy data is never used to train AI models.

Yes. You can run unlimited scenario variations on the same twin, revisit the same audience anytime, and access simulations on demand, unlike field research that requires a new respondent pool for each wave.

Choose an available slot in the Book a Demo flow. Demos are 45 minutes. Once our team approves your request, your calendar invite with the Google Meet link will be sent to your email, and you'll receive a reminder 45 minutes before the session.

Get in Touch

Ayazağa Mahallesi Kemerburgaz Caddesi Vadi İstanbul Park 7A Blok 10. Kat İç Kapı No: 39, 34475 Sarıyer/İstanbul, Türkiye

hello@bigwordai.com

Decision Simulation Platform

  • What Is Bigword?
  • Simulation
  • Use Cases
  • How It Works
  • Security
  • FAQ
  • Contact

Bigword doesn't predict the future. It rehearses it.

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