Methodology

Our Social Visual Data platform delivers high-precision, scalable insights into consumer behavior, product interactions, and market dynamics, enabling brands, retailers and agencies to make data-driven decisions with confidence. By leveraging advanced computer vision, predictive analytics, and social data intelligence, we provide a real-time, comprehensive view of how consumers engage with products and trends.

Backed by a Data Quality SLA, our methodology guarantees accuracy, consistency, and actionable intelligence, ensuring that every insight translates into measurable business outcomes.

Consumer Segmentation

Identify and analyze target audiences using social data and behavioral patterns.

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Product & Brand Tracking

AI-powered detection of real-world product usage from images and videos.

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Forecasting

Predict trends up to four years in advance with high accuracy.

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Transversal Consumer Segmentation

We use a data-driven approach to quickly and accurately define consumer segments based on social media behavior. This allows us to understand who they are, what products they use, and how they engage with brands and trends. The steps involved are:

Regional Social Visual Analysis – We analyze social posts within a regional market (e.g., US Beauty Consumers) to attribute consumers based on what they look like, the products and they use, and trends they discuss.
Defining Segments – We create a targeted group by filtering to the accounts who fit a well defined & specific profile, such as “consumers with blonde hair” or “Gen X consumers who engage with premium beauty brands”.
Segment Validation – We confirm each segment by analyzing their actual product usage patterns, ensuring relevance and accuracy.

This structured, repeatable process allows us to quickly create precise consumer segments, providing a powerful foundation for deeper insights and strategy.

Read more about our Transversal Segmentation Engine here.

Computer Vision Powered Product Tracking

We use advanced computer vision to detect the specific objects, products and brands being shown in any photo or video, providing a direct view and evidence of real-world behavior.

AI-Powered Object Detection – Our technology scans images and videos to identify all visible objects, ranging from faces, to hair, to beauty products to clothing, food, and more.
Product & Brand Recognition – We detect specific product types (e.g., shampoo bottles, skincare jars) and brand logos, mapping them to known consumer goods and known brands.
Data-Driven Rankings – These detections help to power our rankings of product types and brands, providing a powerful view into consumer product usage and preferences.

This approach delivers scalable, data-driven visibility into product usage, supporting better consumer understanding and strategic decision-making.

Next Generation Consumer Forecasting

Our platform provides precise, data-backed forecasts, up to four years in advance, with accuracy guaranteed by a Data Quality SLA and calibration to sales data. It works by:

Identifying Trendsetters – We isolate regional Trendsetters, the early adopters who drive new trends.
Tracking Trend Spread – We measure how trends move from Trendsetters to Mainstreamers using key metrics like Potential Growth and Lead-Lag Scores.
Predictive Modeling – Our patented forecasting engine uses a finely tuned regression model to predict when trends will peak and how far they will grow.

This proven methodology delivers reliable, actionable insights, helping businesses stay ahead of the market.