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Use case · Curation & PMPs

Inventory Curation & PMP Packaging

Select inventory with coded audience attributes and quality filters, then package it behind a Deal ID that means something. The 102M-domain database gives curation teams per-domain demographics, 285 interests, 283 intent segments, personas and confidence bands — so packages are reproducible queries, not hand-maintained spreadsheets.

102Mdomains with audience attributes
283purchase-intent segments for commercial packages
3confidence bands as a built-in quality filter
v1.0versioned vocabularies — deals stay auditable
IAB Audience Taxonomy 1.1 aligned Filterable coded attributes, not free text Banded confidence per attribute No PII in the pipeline Quarterly refresh keeps deals current
The curation problem

A Deal ID is only as good as the list behind it

Curation is ultimately list-building: deciding which domains belong in a package and defending that decision to a buyer. Most curation today relies on content categories and blocklists alone — the audience dimension lives in the sales deck but not in the selection logic.

Curation without audience data

  • Packages defined by category only — “sports sites”, not “sports sites read by 25–44 upper-middle-income men”
  • Audience claims in the one-sheet that nobody can verify or reproduce
  • Long-tail domains excluded because there is no data on them
  • Cookieless inventory (~40%+ of traffic) unpriceable for audience buyers
  • Lists rot: no systematic refresh when a site’s audience shifts

Curation on coded audience attributes

  • Package definition is a query: coded demographics + INT.* interests + PI.* intent + quality filters
  • Every claim traces to a field a buyer could inspect
  • 102M-domain coverage brings the qualified long tail into the package
  • Audience meaning attaches to the domain — cookieless inventory carries it too
  • Re-running the query at each quarterly refresh updates the deal automatically
Selection layers

Three layers of a curated package

A defensible package combines an audience thesis with quality and suitability controls. All three layers come from the same per-domain record, documented on the audience segmentation taxonomy page.

1. Audience attributes

Who the package reaches:

  • 8 age brackets, 5-point gender skew, 6 income bands, 14 life stages
  • 285 INT.* sub-interests and 283 PI.* intent segments
  • 1,667 deterministic personas for shorthand

2. Quality & suitability filters

What stays out:

  • Confidence floors (medium+ or high only)
  • audience_type filters (b2c / b2b / mixed)
  • Corpus-tier membership as a prominence proxy
  • IAB categorization from the API for suitability

3. Deal packaging

The filtered domain list becomes the inclusion list behind a Deal ID in your SSP or curation platform. The query itself is archived as the audit trail — fixed v1.0 vocabulary codes keep it meaningful quarter after quarter.

Workflow

The curation workflow, end to end

Six steps from package thesis to a live, refreshable Deal ID.

  1. Write the package thesis

    One sentence a buyer would pay for: “Premium reach against expecting and new parents with baby-product intent, brand-suitable, cookieless-inclusive.”

  2. Translate to coded filters

    Restate the thesis as vocabulary codes — life stages, interests, intent segments — so the package is a query, not a vibe.

  3. Apply quality filters

    Set a confidence floor, restrict audience_type, limit to a corpus tier if the buyer wants head inventory, and layer IAB content categories for suitability.

  4. Validate and size

    Review the head of the resulting domain list, check the package is large enough to clear, and prune misfits — the list is readable, so this takes minutes.

  5. Attach to a Deal ID

    Load the domain list as the inclusion list for a PMP or programmatic-guaranteed deal in your SSP or curation platform, and publish the one-sheet from the same field values.

  6. Refresh quarterly

    Re-run the archived query against each database refresh. Domains that no longer qualify drop out; newly qualifying domains join.

Why it holds up

Packages that survive buyer due diligence

1,667deterministic personas for package shorthand
29 / 34interest and intent top-level groups
102Mdomains — the long tail is curatable too
0PII — audience meaning without identifiers
Worked example

Packaging a “new parents” CPG deal

A CPG buyer wants premium reach against expecting and new parents. Below is the package definition as written against the database — codes on the left, buyer-facing labels on the right.

LayerFilter (code)Reads as
Audiencelife_stage ∈ {expecting_parent, new_parent}Expecting parents and new parents
Audiencehousehold_composition = family_with_childrenFamily households
InterestINT.family_relationships.parenting_babies_toddlersParenting Babies & Toddlers
IntentPI.family_parenting.childcare, PI.cpg.edibleChildcare; edible CPG purchase intent
Qualityconfidence ≥ mediumWell-evidenced attributes only
Qualityaudience_type = b2cConsumer-facing sites only
SuitabilityIAB content category allow-list via the APIFamily & parenting content, sensitive categories excluded

Result: a domain inclusion list — parenting magazines, baby-gear review sites, pregnancy communities and family-lifestyle blogs — each row with full attributes and confidence bands.

How it ships: the list goes to the SSP as the Deal-ID inclusion list; the query goes to the buyer as the package definition. Preview the data in the audience demo.

Comparison

Curation approaches side by side

 Run-of-exchange + blocklistContent-category curationAudience-attribute curation (this dataset)
What defines the packageEverything not blockedSite topic (e.g. “sports”)Who reads the site: coded demographics, interests, intent, persona
Audience claim to the buyerNoneImplied from topicExplicit, field-by-field, reproducible
Cookieless inventoryIncluded but undifferentiatedIncluded, audience unknownSame audience profile as cookie-bearing inventory
Long-tail coverageIndiscriminateLimited by category data102M domains, filterable head to tail
MaintenanceBlocklist churnManual list reviewsRe-run the archived query at each quarterly refresh
Scope: domain-level selection for packaging and planning — not impression-level pre-bid classification. For per-URL granularity, the real-time API covers page-level segmentation.
FAQ

Inventory curation — common questions

Who is this workflow for — buy side or sell side?

Both, because curation sits between them. SSP and curation-platform teams build sellable packages; agency and in-house programmatic teams specify what they want assembled or build their own allow-lists. The package definition language — coded attributes from fixed vocabularies — is the same on either side of the deal.

How do quality filters work if there is no bid-time signal?

Quality control is a selection-time property, not a bid-time decision. Combine confidence floors (medium or high), audience-type restrictions, corpus-tier membership and IAB categorization for suitability. Low-evidence or unsuitable domains never enter the inclusion list — which is where curation quality is actually decided.

How is a package kept current after it goes live?

The package is defined as a query over versioned vocabularies, and the database refreshes quarterly ($190/quarter for the top-100k tier, $590/quarter for the top-1M tier). Re-running the archived query produces the updated inclusion list; fixed v1.0 codes keep the query’s meaning stable between refreshes.

Can buyers verify the audience claims behind a Deal ID?

Yes — that is the point. Every claim in the deal one-sheet corresponds to a field and value a buyer can inspect, either in a shared extract or interactively in the demo dashboard. Claims like “family households with baby-product intent” become checkable statements, not marketing copy.

Related use cases

Curate your first audience-defined package

Filter the data live in the demo dashboard, or buy the top-1M domain file with instant download and have an inclusion list in front of a buyer this week.

Open the audience demo See database pricing
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