We quickly integrated with an existing consumer panel study where thousands of participants submitted photos taken in their house. Our AI detected 35K+ products (and bathroom styles) in under 4 hours, effortlessly merging visual data with survey responses.

A major company needed to plan marketing and retail efforts for the upcoming year. We provided a full regional view of their product category mapped into consumer segments with a 1-year forecast.

A national sports retailer faced declining sales as CrossFit's popularity waned. We identified former CrossFit enthusiasts through behavioral analysis (no posts in >6 months) and mapped their migration to new fitness activities to enable data-driven reallocation of inventory and shelf space.

In the process of revamping a product line and streamlining SKUs, a luxury brand sought to identify and fill product gaps. We analyzed consumer preferences and tracked makeup trends to pinpoint critical opportunities.

When a traditional panel company failed to recruit sufficient participants from specific regional cultural groups, we stepped in to find these audiences online. Our social visual analysis mapped their complete beauty routines and preferences.

For a seasonal campaign, we provided insights to analyze customer segments and forecast trends. The company created an evergreen e-commerce landing page using consumer language and influencer engagement data.

We provided data to pinpoint targeted consumers for a marketing campaign, incorporating lifestyle, hobbies, and peer brands for enhanced targeting.

For expansion into 3 new countries, we identified 10,000 local consumers in each market and used visual search to track product usage and attributes.

We co-launched an engaging contest where customers connected their social media accounts to enter. This provided GDPR-compliant access to analyze their social posts, revealing authentic product usage contexts and lifestyle patterns.