Session-level web behavior data capturing pages visited, dwell time, scroll depth, and interaction events across millions of websites. Use this feed to model consumer intent, benchmark web properties against competitors, and analyze content engagement at scale.
Product Answer Summary
Product category: Digital, Media & Behavioral Feeds
What it contains: URL-level page visits, Session dwell time, Scroll & interaction events, Referral pathways
Delivery formats: CSV, JSON, Parquet
Who uses it: enterprise data buyers evaluating activation, measurement, analytics, enrichment, risk, or research workflows.
Key Features
Billions of monthly events
Category-level taxonomy
Historical lookback available
US & International panels
Feed Specifications
Record scale: Global clickstream events, 30+ signals/event
Coverage: Global
Refresh cadence: Daily
Delivery formats: Parquet, JSON Lines, S3
How Clickstream Data Is Collected
GSDSI's clickstream data is sourced from opted-in consumer panels and browser-level integrations that capture anonymized web browsing behavior at the session level. Each record includes the URL visited, page category, timestamp, session duration, scroll depth, and referral pathway, giving a granular view of how consumers navigate the web. The data covers billions of monthly events across millions of domains in both U.S. and international markets, with historical lookback periods going back multiple years. Panel-based methodology keeps things statistically representative, with projection weights available for market-level estimation. All collection complies with applicable privacy regulations including GDPR and CCPA, with documented consent for every panelist.
Common Applications for Clickstream Intelligence
Competitive intelligence teams use clickstream data to benchmark their website's traffic, engagement, and market share against competitors, identifying which domains capture the most consumer attention in a given category. Financial analysts track web engagement trends as leading indicators for public company revenue estimation, watching whether a retailer's digital traffic is speeding up or slowing down ahead of earnings. B2B marketers use URL-level browsing patterns to find companies actively researching specific product categories, powering intent-based account targeting for ABM campaigns. Media planners analyze referral pathways and content consumption patterns to optimize digital media placement, making sure ads appear on sites where target audiences spend the most engaged time.
How buyers diligence clickstream and intent data
Intent-data diligence hinges on URL/category coverage, bot filtering, panel bias, and the recency window that turns browsing into usable scoring or activation signals.
Product-specific diligence checks
Validate URL taxonomy, category mapping, dwell thresholds, and bot filtering.
Measure coverage on target domains or accounts.
Define recency windows and decay rules.
Confirm aggregation thresholds and permitted-use limits.