The Signal Engine.

Unlike traditional focus groups, LTR Intelligence aggregates unprompted digital behavior. We process over 50 million data points daily to distinguish fleeting fads from sustained cultural shifts.

01

Multi-Source Ingestion

Social APIs

Firehose access to public metadata from TikTok, Instagram, Pinterest, and Reddit. We track hashtag velocity, sound usage (TikTok), and engagement ratios.

GET /v2/hashtags/velocity?category=skincare

Retail Crawlers

Hourly scraping of 150+ major e-commerce domains (Sephora, Amazon, Zara). We monitor SKU counts, "Out of Stock" events, and price markdown frequency.

200 OK: SKU_STOCK_LEVEL Check
02

Natural Language Processing (NLP)

We move beyond keyword counting. Our proprietary Transformer models analyze context to determine sentiment polarity.

// Analyzing Comment Sentiment
INPUT:
"I love the texture of this cream but the packaging feels cheap."
OUTPUT:
{
"product_efficacy": 0.85 (Positive),
"packaging_sentiment": -0.60 (Negative),
"purchase_intent": "Medium"
}
03

Computer Vision Aesthetic Classification

Our image recognition models categorize visual aesthetics (e.g., "Cottagecore", "Y2K", "Minimalism") directly from user-generated content images, independent of textual tags.

  • ● Color Palette Extraction
  • ● Silhouette Detection (Fashion)
  • ● Logo Recognition
  • ● Material Identification