For CPG insights and category teams

Consumer & market insights grounded in millions of real consumer signals

Simporter Insights turns social conversations, e-commerce reviews, and product data into structured category intelligence: every datapoint labeled by topic, need, pain point, and persona, every metric traceable to the consumer comments behind it.

Trusted by CPG insights and category teams

The problem

Consumer insights are too slow, fragmented, and hard to trace

Weeks of wait

Teams wait weeks for agency decks — while category questions come daily.

Volume, not needs

Social listening tools show mention volume, but not decision-ready consumer needs.

Analyzed separately

E-commerce reviews, social comments, and product data are usually analyzed separately, in separate tools.

Ungrounded AI

Generic AI summaries are not grounded in category-specific taxonomies or source-linked evidence.

What Insights does

Explore, ask, verify, and share category insights

Track category patterns in dashboards, ask Colton business questions, investigate the underlying consumer evidence, and share decision-ready reports.

Dashboards

Track topics, needs and category trends across brands, products, audiences and time periods.

Colton Insights Agent

Ask business questions in plain language and receive structured answers with charts, evidence and citations.

Deep Dive

Explore the consumer reviews and social posts behind every metric, topic and insight.

Reports

Generate decision-ready category reports for teams, stakeholders and senior leadership.

Data sources

Social media + e-commerce + community signal, at category scale

Unified into one labeled data cube for your category — structured by topic, need, benefit, pain point, sentiment, persona, vertical, brand, and product.

Multimodal signals

The full consumer signal—
across text, images, and video

Simporter processes content from e-commerce and social media sources to capture written, visual, and spoken consumer signals—turning reviews, product images, and videos into structured category intelligence.

Text

Review snippets
A
★★★★★

Great quality and super comfortable. Runs a bit small though.

M
★★★★☆

Love the material and fit! Wish it came in more colors.

S
★★★★☆

Fast shipping and amazing customer service.

Sources
Reviews Captions Comments Product descriptions Claims & attributes
Topics Sentiment Claims Attributes

We extract topics, needs, pain points, benefits, claims, and sentiment from written content.

Images

J
jenna.skin2d
natural ingredients clean packaging glow / radiance
2,418 likes
Social posts Product visuals People Usage context Text on images

We analyze social media post images to identify products, people, usage occasions, visual context, packaging, claims, and text embedded in images.

Video

Great for sensitive skin and absorbs quickly.
0:12 / 1:23
Speech On-screen text Product demos Visual context Usage moments

We process spoken content, on-screen text, demonstrations, and visual context from videos.

Topics Needs Benefits Pain Points Sentiment Claims Persona Context
How It Works

From scattered consumer signals to structured category intelligence

Simporter Insights AI continuously collects and processes category-relevant data from social media and e-commerce platforms. The data is regularly updated, cleaned, and labeled across business dimensions, turning raw signals into structured insights teams can use for category strategy, product innovation, marketing, and sales.

Continuous consumer intelligence pipeline

Collect & Update

Gather and regularly refresh posts, comments, listings, descriptions, ratings, and reviews from social and e-commerce sources.

TikTok Reviews Reddit Amazon Walmart Carrefour

Clean

Remove noise, duplicates, irrelevant content, and low-quality records to improve signal quality.

Label

Classify across business dimensions: persona, topic, brand, sentiment, benefit, pain point, product attribute.

Persona Topic Sentiment Benefit Pain Point Attribute

Structure

Transform raw text into organized datasets teams can explore by category, segment, brand, and time period.

Dashboard path Conversational path

Explore the Dashboard

Navigate dashboards to explore topics, needs, pain points, personas, brands, and trends through filters, tables, and visualizations.

Topics Needs Deep Dive
US ⌄Skincare ⌄12M ⌄
Sustainable Packaging29.1%+3.3%
Plant-Based Formulas55.0%+8.5%
Mood & Wellbeing47.5%+3.8%
Quick Application22.2%−0.7%
AI Agent

Ask Colton

Use Colton Insights Agent to ask business questions in plain language and receive structured answers from the data.

Compare the top 10 pain points for educators and custodians in the schools vertical.

Custodians focus on labor-intensive cleaning tasks, while educators are more affected by health, safety, and sensory concerns.

Pain pointEduCus
Manual scrubbing3.0%14.1%
Flu & outbreaks12.9%2.7%
Overpowering smell11.6%3.0%

Act

Turn insights into better decisions for category strategy, product innovation, marketing, and sales.

PlanCategory Strategy
ConceptProduct Innovation
MessagingMarketing Claims
StorySales Narratives
Colton Insights Agent

Your AI insights partner for category decisions

Colton combines Simporter's labeled consumer data, consumer insights methodology, and project context to answer business questions, uncover opportunities, and deliver evidence-backed recommendations.

Grounded in your category data

Direct access to Simporter's labeled data cube including reviews, social conversations, product descriptions, topics, needs, personas, verticals, and metrics.

Built with consumer insights expertise

Knows our taxonomies, metric formulas, and proven methodologies to analyze, interpret, and prioritize what matters.

Keeps your project context

Conversations stay connected within your project so Colton understands your objective, category, market, and prior analysis.

Conversational by design

Ask in plain language, refine with follow-ups, and get summaries, comparisons, tables, charts, and citations in seconds.

Every Colton answer can include

What was analyzed

Scope, filters, and data selection

Key findings

Ranked insights and highlights

Tables & charts

Comparisons, trends, and visual summaries

Source citations

Links to the actual reviews and posts

Export & share

Save, export, or share with your team

Product walkthrough

See Simporter Insights in action

Watch how teams move from dashboard exploration to AI-assisted analysis — from identifying top consumer needs to comparing personas, verticals, and product opportunities.

0:33 · Product walkthrough
Watch the 33-second product walkthrough
Use cases

Built for real CPG business questions

Every team gets to the answer the same way: pick the question that matches their stake in the category, then explore the underlying signals.

01 Use case

Need-State Mapping

What are the biggest needs, pain points, and emerging themes in this category?
02 Use case

Innovation Opportunity

Which unmet needs are growing, underserved, or linked to low sentiment?
03 Use case

Attribute Intelligence

Which formats, claims, scents, ingredients, or benefits drive sentiment?
04 Use case

Consumer Segments Analysis

How do consumer needs differ by persona, vertical, or usage context?
05 Use case

Competitive Intelligence

Which product benefits and claims are crowded, growing, or underdeveloped?
06 Use case

Messaging & Positioning

What are the biggest needs, pain points, benefits, and emerging themes in this category?
Role-based value

Value for every team using consumer intelligence

Consumer Insights

Turn fragmented consumer conversations into structured evidence teams can explore and act on.

  • Identify emerging needs and attributes
  • Answer business questions with Colton

Innovation

Find unmet needs and opportunity spaces before deciding where to invest in new products.

  • Discover white-space opportunities
  • Build stronger innovation briefs

Brand & Marketing

Understand how consumers describe products, benefits, experiences, and brands in their own language.

  • Sharpen positioning and messaging
  • Track changing category conversations

R&D

Translate consumer demand signals into clearer product, ingredient, and format priorities.

  • Prioritize desired attributes
  • Connect development choices to demand

Category & Portfolio

Understand category structure, portfolio gaps, and competitive context through one view of demand.

  • Compare brands and demand spaces
  • Identify portfolio opportunities

Leadership

Access concise, evidence-backed category insight without reviewing multiple reports and data sources.

  • Align teams around the consumer
  • Focus investment on stronger opportunities
Ready to turn this opportunity into product ideas?

Concepts takes the needs, pain points, and white spaces you find here and turns them into structured, evidence-backed product concepts — ready to refine and forecast.

FAQ

Frequently asked questions

Which data sources are included?

Social platforms (YouTube, TikTok, Reddit, Instagram), e-commerce retailers (Amazon, Walmart, Target, and category-relevant others), and category-specific communities — 140+ sources in a typical category set-up.

How often is the data updated?

A new category is typically fully set up in 1 week, with ongoing data refreshes.

Can I filter by my business dimensions?

Yes — brand, product, vertical, persona, area, topic, sub-topic, and time period, with configurable metric columns (mentions, SoV, ΔSoV, e-com SoV, engagement, sentiment).

Is the taxonomy customizable?

Yes. The ontology is built per category and can include client-specific labels — e.g., facility types, user personas, and purchase drivers in professional cleaning.

What is Colton?

An AI insights agent grounded in your category's labeled dataset. It queries the data, calculates metrics, and writes the answer — with citations to the underlying reviews and posts. It does not answer from a general web index.

How is this different from generic AI tools?

Generic AI tools generate answers from general knowledge or public web data. Simporter Insights runs on category-specific, cleaned, structured, and AI-labeled datasets built for your category and market. Colton queries that actual data — and explains the source of every answer, down to the individual reviews and posts it used.

What data can Colton access?

E-commerce reviews, product descriptions, social posts and comments, category-specific forums, the cleaned and AI-labeled datasets built for your category, and the metrics on top of them (mentions, sentiment, share of voice, trends) — always within your subscription's category, market, and timeframe scope.

Can you cover my category?

Simporter serves Food, Beverages, Beauty & Personal Care, Home Cleaning, Professional Cleaning, Home Appliances, and other CPG/FMCG categories. New categories are set up with their own ontology and sources.

On your category

Explore Insights on your category

Tell us your category and markets. We'll show you the ontology, the dashboards, and Colton answering your team's real questions.