Netice (Netice Oy)

NETICE (NETICE OY)Manage supplier listing

Normalized daily app-sales and monthly platform-finance revenue data from Apple App Store and Google Play, delivered into the customer's own BigQuery or Snowflake under a published 38-field Daily App Sales contract: date, platform, app identifier, source-report type, country, report and native currency, estimated gross/net, tax and fee (report and local), unit counts, transaction type (purchase, refund, renewal), net-derivation method label, data-completeness/staleness label and ingestion metadata

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Sample

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Coverage

Universe, instruments and categories.

Industry: Application SoftwareInternet & Direct Marketing Retail
Instruments: equities
Categories: AlternativeFundamentalReference
Regions: US
Sample tickers: URBLXAPPMOBIDYSEEATTWOBROS

Dataset card

Type: not stated
Format: Tabular — warehouse-native tables (BigQuery and Snowflake DDLs provided), staged from Apple/Google source report files; documented field contract, example rows and 12 SQL recipes
Volume: Per client: 38 fields x (date x app x country x currency x transaction type) grain, typically hundreds to thousands of rows per app per day across both platforms. Client and app totals are not disclosed — Request further research on the aggregate row count the vendor can legitimately see across its installs
Users: N/A as a consumer metric — B2B data-infrastructure service with no end-user base; realistic commercial footprint is a handful to a few dozen publisher clients (inferred from a 2-person Finnish agency selling a paid warehouse pipeline)
History: not stated
Update frequency: not stated
Growth: Active but small — current-period example rows (Aug 2026) and a shipping product surface spanning both BigQuery and Snowflake plus both stores, alongside a parallel consulting arm at a 2-person firm
Launched: Firm established ~2018 (corporate/LinkedIn record registration date); the App Revenue Warehouse product itself is more recent — est. 2024-2026, evidenced by 2026-dated example rows and documentation and by the firm's consulting-first history
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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