Frequently Asked Questions

The use cases are endless, from tackling brand positioning, driving corporate reputation, to launching a new product. It can also inform how to manage crises, impact policy, evolve DEI, and drive internal communications and employee engagement.

It is a volume license model with customized pricing for each bespoke survey. The surveys are discounted with a license. Insight teams can use our OCEAN analysis to create ongoing queries and benchmarks around brand perception. It can be white labeled and customized.

Our SaaS is additive because of the emotional contextualization our data provides. Open APIs allow us to port emotional data into other research dashboards or CRM and provides real-time access to an insight platform to view/compare and contrast/blend datasets.

We leverage client typing tools for audience lookalikes and use existing databases in ways that preserve our completely anonymized approach to data collection.

It can be used anywhere on the CX. From developing and refining a creative brief, testing creative platforms, A/B testing content, understanding strategic partners, to the best platforms to deliver messaging, and ongoing optimization. Ideally, before a dollar is spent.

Marketer on Demand (MOD) is a white glove team of marketing strategists who work directly with clients to action insights and support survey development, insights interpretation, briefings, survey findings, etc.

It allows us to predict human behavior more reliably and accurately than statistical and other means of sentiment analysis.

Our model is a non-equilibrium system that originated as a tool to predict market movement on Wall Street. We have applied this thinking to emotions as they are akin to the markets in that they are never in a period of stasis, meaning there is never a moment where anyone only feels one given way.

We use AI, ML, and data science to create precise emotional scoring that gauges both emotional intensity and brand affect. We also identify points of tension and authentic feeling, all of which informs how to best engage and communicate with targets.

Cohorts are not one monolith. We can segment emotional cohorts by age, geography, income level, current customer vs. new target, ethnicity, gender identity, etc. Check our recent GenZ study https://brandthro.ai/genz/.

We can target virtually any population and learn more about who they are through the lens of personality, and what matters most to them when it comes to brand experience. Our approach predicts the language that will make them feel valued and trust you most.

Data science allows us to use sample sizes of a 100 to create unique cohorts that are representative of thousands with 99.9% accuracy in 1-2 weeks.

We use precise screeners ranging from client/non-client, industry, company size, executive/policymaker title, general consumer, employees, target talent, ethnicity, age, geo, income-level etc. to build our micro segments.