Generalevidence

Consented, account-connected German consumer panel with per-person linked data across seven dimensions: Amazon orders/receipts/inbox order confirmations plus Google Pay transactions (7.4B+ Amazon events); grocery and drugstore purchases at SKU level including the REWE product catalogue; Google searches and website visits pre-classified by category, brand and purchase intent; YouTube watch history, TikTok interactions and Meta ads seen (2.4B+ views); app installs, in-app purchases and subscription sign-ups/cancellations across both app stores; dwell-weighted visited places and retailers from location data; and census-weighted self-reported demographics sanity-checked against observed behaviour.

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Coverage

Universe, instruments and categories.

Industry: Research & Consulting ServicesFood & Staples Retailing
Instruments: equities
Categories

Dataset card

Type: not stated
Format: Multimodal and relationally joined per person — itemised transaction/receipt records, SKU-level purchase lines, classified search and URL event streams, video/social view and impression logs, app-store install and subscription transaction records, dwell-weighted geolocation traces, and structured demographic attributes
Volume: Very large for the panel size, because it is account-level history rather than incrementally earned clicks: 7.4B+ Amazon events and 2.4B+ video/social views are published headline totals, alongside SKU-level grocery lines, classified search/visit streams, subscription transactions and dwell-weighted location traces. Est. well over 10B records across all dimensions. Important caveat: this is imported historical account backfill from connected services, not data the panel itself accumulated day by day.
Users: 'Thousands of people in Germany' per the panel page — deliberately vague, so bounded as roughly 2,000-10,000 connected participants. Explicitly excludes professional panelists. Population weights are built on the German census, indicating a representative rather than convenience sample.
History: 10 years
Update frequency: not stated
Growth: Active — the page is built around a 'relaunch' asset set and markets a live participant app with an operating pay-out mechanic (daily data dividend), i.e. an actively growing consumer-facing panel rather than a static dataset
Launched: ~2022-2024 — an angel-funded 8-person firm whose business-record identifier dates to early 2022, and the page presents a 'relaunch', implying a predecessor product before the current Datapods app
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

supplier index read from their site