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ProductEvent-level product

Behavioral events shaped for your data stack

The Behavioral Events Feed organizes permitted digital activity into a documented event schema. Scope, geography, fields, refresh cadence, and aggregation controls are agreed before delivery.

Request a relevant sample ↗Inspect synthetic schema
Best for

Data science teams

Market intelligence platforms

Custom analytics products

Sequence and graph modeling

Delivery options

API or scheduled files

CSV or Parquet

Daily-ready cadence

Custom field selection

Example fields

A schema buyers can inspect

Names and definitions are illustrative. Production fields are confirmed during scoping and documented before delivery.

event_time

Timestamp or agreed time bucket

market

Permitted geographic scope

channel

Search, site, AI platform, app, or other approved class

entity

Normalized domain, category, brand, or product reference

journey_stage

Derived discovery, research, comparison, or action label

cohort_key

Privacy-secured aggregate or cohort reference

Questions it supports

Use the signal for a defined decision

  • Build market journey models
  • Create demand indicators
  • Measure channel movement
  • Develop ranking or recommendation features
Product boundaries

Controls are part of the product

  • No claim of access to private conversations
  • No individual targeting in standard outputs
  • Sensitive-category review before delivery
  • Fields depend on source rights and jurisdiction
ExploreConnected topic cluster
Topic guide

Clickstream data for market and journey intelligence

A practical guide to clickstream data, journey analysis, delivery formats, aggregation, quality controls, privacy boundaries, and business applications.

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Demand forecasting with early behavioral signals

Use search, research, and category behavior as early signals for demand forecasting, planning, and market monitoring.

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Behavioral data for models that need market context

Build ranking, recommendation, forecasting, and retrieval systems with documented behavioral features.

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AI summaries change what happens after a Google search

BGraph analysis of Pew browsing data on Google AI summaries, result clicks, cited-source clicks, query length, and session endings.

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Product FAQ

Before you request a sample

Is this a raw browsing log?

Not by default. Delivery is shaped around the approved purpose, documented fields, aggregation level, and market controls.

Can the schema match an existing warehouse?

Yes. Naming, types, partitions, and delivery layout can be aligned during scoping.

Can history and cadence be customized?

Yes, where verified coverage supports the requested period and refresh schedule.

Define the scope

Tell us the market,
fields, and workflow.

We will verify coverage and propose a sample that matches the intended use.

Request data ↗