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Journey aggregates for explainable market patterns

Journey Aggregates turns event sequences into cohort-level paths, transitions, overlaps, and time-to-action measures. It is designed for teams that need interpretable patterns without an oversized event feed.

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Best for

Consumer insights

Category strategy

Competitive research

Executive reporting

Delivery options

Aggregated tables

CSV or Parquet

Custom dashboards

Research report option

Example fields

A schema buyers can inspect

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

journey_pattern

Normalized sequence or path class

cohort_size

Count after agreed aggregation controls

transition_rate

Share moving between defined stages

repeat_rate

Return behavior within the selected window

time_bucket

Daily, weekly, or monthly period

market_segment

Approved market, category, or audience group

Questions it supports

Use the signal for a defined decision

  • Map consideration journeys
  • Compare brands and categories
  • Find research depth changes
  • Explain demand movement
Product boundaries

Controls are part of the product

  • Minimum cohort rules defined during review
  • Small groups may be suppressed
  • Outputs describe groups, not people
  • Market comparisons require coverage checks
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Topic guide

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See how shoppers discover, compare, and change direction

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Product FAQ

Before you request a sample

What is a journey aggregate?

It is a group-level measure of paths, transitions, overlap, repeat activity, or timing across a defined digital journey.

Can we provide our own taxonomy?

Yes. Categories, domains, brands, stages, and reporting labels can follow your internal taxonomy.

Can the result be used in a dashboard?

Yes. Tables can be partitioned and refreshed for business intelligence tools or a custom application.

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 ↗