Every publisher deck claims an engaged, affluent audience — and every buyer discounts it because it’s self-reported. Replace adjectives with neutral third-party data: content-inferred attributes from fixed, IAB Audience Taxonomy 1.1-aligned vocabularies, with confidence bands disclosed.
Agency planners hear the same adjectives from every seller. What changes minds is data they could check themselves.
Reader surveys and media kits are produced by the party selling the inventory. Buyers mentally halve every superlative. A third-party source that treats all publishers identically doesn’t carry that discount.
Panel-based measurement gets statistically fragile for mid-size and niche publishers — often the properties with the most distinctive audiences. Content-inferred profiling covers any domain at the same depth.
“Our readers over-index on fitness intent” is an assertion. “Here are the coded attributes for us and the three sites you’re considering, from the same dataset” is an argument.
Two inputs — your properties and your competitive set — one methodology applied to both.
Pull your domains from the audience database. Run key sections through the real-time API for page-level depth — demographics, interests, purchase intent and personas, each with a confidence band.
List the domains buyers weigh you against — the sites on the same RFPs. They are in the same database, profiled by the same method. No scraping, no guessing from media kits.
Lay coded attributes side by side and keep what differentiates: PI.* segments where you lead, personas unique to your content, and demographic skews matching the brief. Disclose confidence bands.
One methodology slide, one audience slide, one competitive slide. Cite vocabulary version (v1.0) and link the public taxonomy so planners can verify — auditability is the feature.
An independent fitness publisher competes against a large lifestyle site for a home-gym equipment budget. The lifestyle site wins on reach; the deck must show the fitness publisher wins on audience fit.
PI.sporting_goods.exercise_and_fitness_equipment — only the fitness site carries that segment at high confidence.| Your fitness site | Lifestyle competitor | |
|---|---|---|
| Age | 25–3435–44 | 25–3445–54 |
| Income | Upper-middle | MiddleUpper-middle |
| Interests | Fitness and Exercise INT.healthy_living.fitness_and_exerciseNutrition INT.healthy_living.nutrition | Dining Out INT.food_drink.dining_outTravel INT.travel |
| Purchase intent | Exercise & Fitness Equipment PI.sporting_goods.exercise_and_fitness_equipmentGyms & Health Clubs PI.recreation_fitness.gyms_and_health_clubs | Restaurants PI.food_beverage.restaurants |
| Personas | Fitness EnthusiastHealth-Conscious Millennial | Busy Professional |
| Confidence | High | High |
Most strong decks combine sources. The question is which layer carries the competitive claim — only a neutral, symmetric source can.
| Evidence source | Perceived as neutral | Covers competitors identically | Works for niche publishers | Best role in the deck |
|---|---|---|---|---|
| Reader survey / media kit | Self-reported | No | Yes | Color and testimonials |
| First-party analytics | Partly — your instrumentation | No | Yes | Engagement and loyalty proof |
| Panel measurement | Yes | Top-tier sites only | Sample gets thin | Reach ranking among large sites |
| Content-inferred audience data | Yes — third-party, reproducible | Yes — same method, any domain | Yes — any public content footprint | The competitive audience-fit slide |
Decide which advertisers and agencies to pitch before you build the deck.
Track how your audience profile moves against the competitive set over time.
Turn the deck's audience claims into packaged, activatable sell-side audiences.
The full publisher playbook: pricing power, curation and sales enablement.
Page-level profiles for sections, verticals and franchise pages.
The public vocabulary your methodology slide can cite.
Because it is neutral and symmetric. The same content-inferred methodology, the same fixed IAB Audience Taxonomy 1.1-aligned vocabularies and the same confidence bands are applied to your domains and to every competitor’s — by a third party with no stake in the outcome.
A buyer can license the identical dataset and reproduce your slide. Self-reported surveys can complement this, but they cannot be independently verified the same way.
The comparison does not use anyone's user data. Audience attributes are inferred from the content each domain publishes — which is public — so the competitive set can be profiled on exactly the same basis as your own properties. No PII is used anywhere in the pipeline, which also means the deck contains nothing a legal or privacy review needs to challenge.
Yes. Every attribute carries a banded confidence value (low, medium, high), and disclosing it is what separates evidence from decoration. Sophisticated agency audiences respond well to a deck that says “high-confidence attributes only” — and it protects your sales team from over-claiming on attributes the data supports only weakly.
Most publishers need only a small corpus: a vertical or country slice covering your competitive set runs $190–$490. The top 100k domains cost $490 one-time ($190/quarter refresh), and the top 1M cost $1,990 one-time ($590/quarter) with instant checkout.
Page-level profiling uses standard API plans such as Pro at $99/month for 10,000 credits. Custom corpora and feeds are quoted individually, with licensing from $15,000/year. See pricing.
Profile your own domain in the demo, see the exact attributes a competitive slide would carry, and license the slice that covers your competitive set.