Data Analytic Capabilities

At Brand Dummy, we bring the discipline of academic research into the world of brand communication. Our data analytic capabilities are rooted in scientific methods—surveys, experiments, and advanced statistical analyses—but we leverage behavioural insights to translate data into actionable strategies that strengthen consumer trust, clarify ESG commitments, and build resonant narratives.

Beyond surveys, we apply A/B testing and controlled experiments to compare messaging variations in real time. This allows us to identify which narratives connect most authentically, which erode credibility, and how different audiences react under scrutiny. Together, these methods provide a rigorous foundation for actionable communication strategies that strengthen consumer confidence and resonance.

Validated Surveys

Scientifically design questionnaires that capture reliable insights into audience perceptions.
A/B Testing

Real‑time comparisons of messaging variations to reveal which language builds trust.
Controlled Experiments

Behavioural trials that measure credibility and resonance beyond surface metrics.
Longitudinal Tracking

Monitor sentiment shifts over time to anticipate risks and opportunities.
Segmentation Analysis

Break down results by demographic or values groups to tailor communication strategies.

Advanced statistical analyses

Statistical methods allow us to move from intuition to evidence. At Brand Dummy, we apply techniques drawn from academic research—regression, ANOVAs, cluster analysis, bootstrapping, and Best‑Worst Scaling—not as abstract exercises, but as tools to decode how messages perform under scrutiny.

Each method reveals a different dimension: what drives trust, how perceptions vary across groups, which claims resonate most, and how confident we can be in those findings. By translating these results into clear communication strategies, we help brands decide not just what to say, but how to say it credibly and consistently.

Regression Analyses

Identify drivers of trust, loyalty, and purchase intent.
ANOVAs

Test differences across demographic or ideological groups.
Cluster Analysis

Segment audiences by values, trust signals, and communication preferences.
Bootstrapping

Provide robust confidence intervals for messaging outcomes.
Best-Worst Scaling

Prioritize which claims resonate most strongly with stakeholders.
Structural Equation Modeling (SEM)

Examine complex relationships between trust, credibility, and behavioural outcomes.
Latent Class Analysis

Segment audiences into hidden groups based on shared attitudes or messaging responses.
Time‑Series Analysis

Tracks how sentiment or credibility shifts over time, especially useful for crisis monitoring.
Factor Analysis

Identify underlying dimensions (e.g., trust drivers, value clusters) that explain consumer perceptions.
Conjoint Analysis

Test how audiences make trade‑offs between competing claims, benefits, or attributes.
Monte Carlo Simulation

Test messaging resonance by modeling thousands of possible audience reactions under uncertainty.

From rigour to resonance

Data alone doesn’t build trust; interpretation does. Our commitment to academic rigour ensures that every analysis is methodologically sound, but our real value lies in translation. We convert complex findings into modular playbooks that embed credibility into everyday communication.

This means identifying vulnerabilities before they become reputational risks, aligning language with stakeholder identity, and ensuring every claim is backed by evidence. In practice, our approach equips brands with messaging that is not only scientifically defensible but also emotionally compelling—communication that endures even under the most intense scrutiny.

Diagnose Vulnerabilities Before They Become Reputational Risks

We use analytic rigour to spot weak claims or trust gaps early.
Align Messaging with Stakeholder Identity and Values

We ensure messaging reflects what audiences care about most.
Ensure Every Claim is Backed by Evidence

We embed proof and transparency into brand narratives so they withstand scrutiny.
Translate Complexity into Clarity

We distill advanced analyses into simple, practitioner‑ready insights that guide everyday communication.
Embed Credibility Into Workflows

We integrate evidence‑based checks into campaign planning, ESG reporting, and crisis response.
Strengthen Stakeholder Confidence

We use data‑driven messaging to reassure consumers, investors, and regulators that claims are authentic.
Adapt Messaging Over Time

We monitor sentiment shifts and update communication strategies to remain relevant and resilient.