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Retriever Solutions

Media data infrastructure and subscription services for agencies, advertisers and technology partners across the Benelux media planning ecosystem.

Structured media data for planning, buying and analytics workflows

Retriever Solutions provides media data and software services for agencies, advertisers, and technology partners active within the media planning ecosystem. Retriever works together with publishers and sales houses to provide structured media data that is consistently organised, validated, and ready for direct integration into workflows related to planning, buying, and analytics.

Media Data Infrastructure & APIs

Retriever's APIs provide development teams with programmatic access to structured data on advertising opportunities across different media channels and markets.

Delivery & formats

  • RESTful APIs with documented endpoints and stable versioning
  • Output in JSON and XML
  • Scalable infrastructure for high-volume production environments
  • Secure access through token-based authentication and user roles

Data characteristics

  • Consistently and uniformly structured across sources, channels, and markets
  • Continuously maintained master data for planning and booking environments
  • The dataset includes publisher master data and information on advertising opportunities, including rates, formats, technical specifications, publishing calendars, and editorial and commercial contact details.

Subscriptions & Data services

Retriever offers modular subscription services that can be used separately or in combination.

Available data services

Mediadatabase subscriptions

Structured master data on publishers, advertising opportunities, and rate card data in the Benelux.

Search & discovery API

Programmatic search for advertising opportunities based on audience, geography, medium, and advertising type.

Media analysis and market insights

Comparative data across channels, advertising types, rates, and periods.

Reach analysis and scenario modelling

Insight into geographical overlap and coverage of media combinations.

Data feeds

Structured exports for import into planning, procurement, and booking systems.

Integration & technical support

Retriever integrates with media planning environments and supports further integrations with booking and buying systems.

Technical support includes

  • API onboarding and initial setup
  • Direct collaboration with internal development teams
  • Integration guidance and, where required, architectural consulting for implementation within existing systems and workflows
  • Custom delivery configurations where needed
  • Ongoing support as integrations scale or data requirements evolve

Retriever Solutions in practice

The examples below illustrate how Retriever’s data infrastructure and subscription services are applied within operational environments. The examples are representative of recurring collaboration models and are not intended as full project descriptions.

Case 1 — Online rate card data for an international media research agency

case-1

Context

An international media research agency uses rate card data delivered through the Retriever API to calculate media spend at campaign and budget level for cross-media reporting and competitive spend analyses. The client requires a complete and internally consistent dataset, structured according to a predefined data model and split by desktop and mobile.

Challenge

Online rate card data is supplied heterogeneously by publishers, with differing data structures, definitions, and pricing models. Manual processing is error-prone, costly at scale, and unsustainable within a recurring reporting cycle.

Solution

Retriever handles the end-to-end process: from data collection and normalisation to mapping onto the client-defined data model, including completion of missing values and consistency validation.

Result

A harmonised CPM dataset that can be directly ingested into the client's pipeline. In production for multiple years and renewed annually.

Case 2 — Print master data and advertising specifications for a global media-buying platform

case-2

Context

An international media-buying platform requires standardised, machine-readable master data and advertising specifications (canonically modelled) for regional print media: publishers, titles, editions, specifications, and rates — as a directly integrable source for planning and buying workflows.

Challenge

Manual input and periodic file exchange are not sustainable within a large-scale platform environment. Data structures evolve, and any change without controlled versioning results in additional development work on the platform side.

Solution

Retriever exposes print master data and advertising specifications through a versioned REST API with canonical resources covering media, organisations, rates, calendars, and geographical locations, including an OpenAPI 3.0 descriptor. Authentication is handled via API key; incremental synchronisation is based on timestamps.

Result

A directly integrable interface for the platform, with stable version management minimising additional development work resulting from data structure changes.

Case 3 — Geographical modelling of media reach for franchise organisations

case-3

Context

A franchise organisation wants to allocate media reach and share of voice to the catchment areas of individual franchisees, rather than relying on national averages that insufficiently reflect local reality.

Challenge

National benchmarks conceal substantial regional differences in reach, share of voice, and coverage. Effective local steering requires up-to-date geocoding and accurately defined catchment areas.

Solution

Retriever provides a geographical dataset in PostGIS linking points of sale to postal code and municipal code polygons across three levels: point of sale, catchment area, and national organisation. Catchment areas are continuously updated.

Result

Catchment areas are linked to media reach and demographic data, providing insight into reach, share of voice, and coverage analysis per franchisee — including overlap with neighbouring catchment areas — enabling media spend to be attributed to the organisations that actually benefited from the reach.