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ProductMarket monitoring product

Domain and category trends that show where attention moves

Domain and Category Trends provides repeatable indicators for a selected market universe. It can track attention changes, competitive overlap, upstream discovery, and downstream destinations.

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Best for

Competitive intelligence

Portfolio monitoring

Retail strategy

Media and publisher research

Delivery options

Recurring trend tables

API or scheduled files

Weekly or monthly reporting

Custom market universe

Example fields

A schema buyers can inspect

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

entity_id

Normalized domain, brand, publisher, or category

attention_index

Relative activity inside the defined market

overlap_index

Aggregated relationship between selected entities

upstream_source

Approved source category before an entity visit

downstream_destination

Approved destination category after an entity visit

change_period

Comparison window used for trend calculations

Questions it supports

Use the signal for a defined decision

  • Monitor competitor movement
  • Map audience overlap
  • Track category entry points
  • Create recurring market indicators
Product boundaries

Controls are part of the product

  • Indexes depend on the selected universe
  • Coverage is verified during scoping
  • Small or unstable segments may be excluded
  • The product does not claim deterministic attribution
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Product FAQ

Before you request a sample

Can we define the domain list?

Yes. A project can start with your list and add observed adjacent entities where supported.

Are the metrics absolute traffic counts?

Not necessarily. Products may use normalized or indexed measures when that is more reliable for the approved universe.

Can this support monitoring?

Yes. Stable definitions and cadence can be used for recurring market tracking.

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 ↗