Bringing CPG product research into the AI era
Simporter helps consumer brands replace slow, fragmented research workflows with AI-powered category intelligence built from social conversations, product reviews, e-commerce signals, and market data.
We believe product research should be faster, more actionable, and easier to scale across global teams.
Category Intelligence
Why we built Simporter
Consumer research has not kept pace with how people discover, discuss, compare, and review products today. Traditional methods are often slow, expensive, and disconnected from real consumer behavior.
Simporter was built to help CPG teams understand what consumers need, what they complain about, which trends are emerging, and where product opportunities are forming — before decisions are already locked.
Old research model
Simporter approach
Founded by people focused on modernizing product research
Simporter is led by founders building a more modern approach to consumer and product research for CPG teams.
Dillon Hall
Leads Simporter's vision for modern AI-powered product research.
Tim Hall
Cofounded Simporter and helps shape the company's strategy and growth.
Built for product decisions,
not just dashboards
Simporter turns consumer and market signals into category intelligence that teams can actually use across innovation, category, and product workflows.
Actionable
We simplify complex consumer and market signals into insights teams can use for innovation, category strategy, product development, and portfolio decisions.
Focused
Simporter avoids unnecessary complexity and focuses on the data, workflows, and outputs CPG teams actually need.
Scalable
Our platform is designed to support global companies, multiple markets, and repeatable research workflows with automation at the core.
From consumer signals to confident product decisions
Simporter connects real-world consumer signals with AI-powered analysis so teams can move from scattered data to structured category intelligence.
Social conversations, product reviews, e-commerce data, and approved market sources.
Remove noise and prepare data for analysis.
Classify needs, benefits, pain points, claims, personas, brands, and attributes.
Track trends, sentiment, share of voice, and category signals.
Support innovation, category, brand, and product decisions.
How we work
We combine collaboration, high standards, and a focus on impact to help teams make better product decisions.
Teamwork
We build closely with customers and across disciplines because better product decisions require both data and business context.
Quality
We care about the quality of the intelligence we deliver — from data collection and labeling to product experience and customer outcomes.
Impact
We focus on helping teams make decisions that shape real products, real markets, and real consumer experiences.
Tell us your category and target markets.
We'll recommend the right setup and pricing model based on your scope, data sources, and deployment needs.