# US Psoriasis Search Universe - 26K Classified Terms > Returns 26,250 US English psoriasis and psoriatic arthritis search terms, one row each, with a banded monthly search volume, a 48-month demand index, a trend direction, and five classification facets covering patient journey stage, search intent, brand signal, clinical focus and buyer segment. Built from a Google Ads Keyword Planner measurement of a 108,953-term discovery pool, deduplicated against Google's own close-variant grouping and annotated term by term. Sizes where psoriasis demand actually sits, which stage of the patient journey it comes from, and which way it is moving - without running your own keyword research. ## At a glance - **Publisher:** AP Analytics - **Data source:** www.alex-papageo.com - **Category:** pharmaceuticals - **Price:** 70 credits (about $35.00 per request, billed on a successful response) - **Coverage:** United States - **Time period:** 2022-08-01 to 2026-07-31 - **Type:** API endpoint (bulk pull) - **URL:** https://marketplace.spartera.com/products/us-psoriasis-search-universe-26k-classified-terms/d0b42ae3-1572-47a4-8e1d-e86add9d04a3 ## Description What this is One row per canonical search term. 26,250 US English terms about psoriasis, psoriatic arthritis and psoriasiform disease, each carrying a demand band, a 48-month shape, a trend direction and five facets. What this is not - Volumes are bands, not figures. Google Ads reports the midpoint of a bucket on a fixed geometric ladder, so its own numbers are estimates. We publish the band those estimates fall in, deliberately coarser than the source ladder. - The demand index is within-term only. Each series is scaled 0-100 against that term's own peak. Comparable across months for one term, never between terms - use the volume bands to compare terms. - Rows are canonical terms, not raw phrasings. Google groups close variants onto one bucket; variant_count tells you how many phrasings collapsed into each row. Do not sum volume across rows without accounting for it. - stable and insufficient_data are different claims. One means we measured and it did not move; the other means we could not measure. - This is education-and-discovery demand. 74% of terms sit in treatment-discovery or condition-understanding and only 4% name a brand. It is not a brand-share dataset. Columns ColumnTypeMeaning keywordSTRINGThe canonical search term volume_lower / volume_upperINT64Monthly-searches band, lower inclusive, upper exclusive volume_rankINT64Rank by volume, 1 = highest. Filter on this for top-N demand_index_seriesSTRING48 comma-separated integers 0-100, 2022-08 to 2026-07 data_through_monthSTRINGVintage of the series (2026-07) trend_labelSTRINGrising_fast 3.0% · rising 2.2% · stable 53.1% · declining 8.6% · declining_fast 2.0% · volatile 1.6% · insufficient_data 29.6% trend_confidenceSTRINGhigh · medium · low · none growth_rankINT64Rank by change among directional terms journey_stageSTRINGtreatment_discovery 38.7% · condition_understanding 35.2% · ongoing_management 8.9% · treatment_evaluation 6.3% · differential_seeking 4.8% · symptom_noticing 3.5% · treatment_access 2.7% intent_typeSTRINGinformational 49.1% · product_discovery 28.1% · procedural_clinical 9.0% · comparison 5.6% · brand_navigational 4.4% · community_social 3.7% brand_signalSTRINGunbranded_disease 82.1% · unbranded_product_category 13.3% · branded_consumer 2.5% · branded_rx 1.5% · unbranded_drug_class 0.7% clinical_focusSTRINGgeneral 66.4% · psoriatic_arthritis 13.6% · scalp 10.5% · plaque · nails · face · hands_feet · guttate · trunk_limbs · genital · inverse · pustular · erythrodermic buyer_relevanceSTRINGPipe-separated, one or more of: health_education, content_seo, provider_hco, consumer_health, retail_pharmacy, general_market, pharma_competitive, payer_access, pharma_brand, investor_signal drug_mentioned / drug_classSTRINGNamed therapy (27 in the vocabulary, generics resolved to brand) and its class rank_in_journey_stage / _clinical_focus / _brand_signal / rank_for_drugINT64Volume rank within each facet - filter for per-segment top-N variant_countINT64Phrasings that collapsed onto this canonical term word_count / is_long_tail / is_questionINT64 / BOOLQuery shape Method Volume bands. Every second point of Google's published ladder is a band edge, so each band spans two ladder points and no single reported value is recoverable. Edges: 10, 30, 50, 90, 140, 210, 320, 480, 720, 1000, 1600, 2400, 3600, 5400, 8100, 12100, 18100, 27100, 40500, 60500, 90500, 135000, 201000, 301000, 450000, 673000, 1000000, 1500000, 2240000, 3350000. Trend. Median of the last 12 months against the median of the previous 12. Medians so a single spike cannot move them, a full year each side so seasonality cancels. The threshold varies by volume because one ladder step is +100% at the bottom and ~22% at the top; a term must move further than the source could express by rounding before it is called a direction. That bar is applied per term during the build; the label is what ships. Classification. journey_stage and intent_type are LLM annotations (structured output, temperature 0); median confidence 0.80, 2.7% below 0.65. brand_signal, clinical_focus and drug_mentioned are deterministic matches against controlled vocabularies. buyer_relevance is derived by rules. Example queries ?volume_rank=<=200 top 200 terms by demand ?clinical_focus=scalp&rank_in_clinical_focus=<=50 top 50 scalp terms ?trend_label=rising_fast&trend_confidence=high confident risers ?journey_stage=treatment_access cost and coverage demand ?drug_mentioned=skyrizi one therapy's full term set ?brand_signal=unbranded_disease&is_question=true unmet education demand Coverage United States, English. Series 2022-08 to 2026-07 (48 months). 26,250 terms measured from a 108,953-term discovery pool; 8,599 returned no data, 2,727 were close-variant duplicates and 874 sat at zero volume. Known limitations - 84% of terms fall in the 10-30 band. Google's reporting floor is 10, so the long tail is not further resolvable. The value is coverage and faceting, not volume precision. - 30% of terms are insufficient_data for trend - too few active months in the compared windows to make a claim. - clinical_focus is general for 66%; most terms name no specific aspect. - Brand tagging is list-based. A therapy outside the 27-drug vocabulary is not tagged. - Reported search volume is not automatically ground truth - bot and AI traffic can inflate it. 2,034 terms carry a non-seasonal spike of 5x or more above their median; these are retained, not removed. - US English only, and a periodic re-cut rather than a live feed. Refresh Periodic re-cut, not a live feed. data_through_month carries the vintage so your pipeline can detect staleness without reading this page. ## Fields | Field | Type | Required | | --- | --- | --- | | keyword | STRING | | | volume_lower | INT64 | | | volume_upper | INT64 | | | volume_rank | INT64 | | | demand_index_series | STRING | | | data_through_month | STRING | | | trend_label | STRING | | | trend_confidence | STRING | | | growth_rank | INT64 | | | journey_stage | STRING | | | intent_type | STRING | | | brand_signal | STRING | | | clinical_focus | STRING | | | buyer_relevance | STRING | | | drug_mentioned | STRING | | | drug_class | STRING | | | rank_in_journey_stage | INT64 | | | rank_in_clinical_focus | INT64 | | | rank_in_brand_signal | INT64 | | | rank_for_drug | INT64 | | | variant_count | INT64 | | | word_count | INT64 | | | is_long_tail | BOOL | | | is_question | BOOL | | ## Access ```bash curl -X POST "https://ap-analytics.api.spartera.com/endpoints/v1/us-psoriasis-search-universe-26k-classified-terms" \ -H "X-API-Key: YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"format": "csv"}' ``` Each request is billed 70 credits on a successful response, regardless of row count. Results are returned as a downloadable CSV with a JSON preview. ## Machine-readable - Sample data (JSON): https://marketplace.spartera.com/sample/d0b42ae3-1572-47a4-8e1d-e86add9d04a3 - Full page (HTML, with schema.org Dataset markup): https://marketplace.spartera.com/products/us-psoriasis-search-universe-26k-classified-terms/d0b42ae3-1572-47a4-8e1d-e86add9d04a3 - Catalog index: https://marketplace.spartera.com/llms.txt - Product sitemap: https://marketplace.spartera.com/server-sitemap.xml --- Published by AP Analytics on the Spartera Analytics Marketplace. Licensed under https://marketplace.spartera.com/terms.