For research teams, advertising data has historically meant scraped screenshots, partner panels, or platform-supplied summaries. None of it scaled. None of it normalised. None of it let you ask category-level or market-level questions across platforms in the same read. Building a single industry report meant months of cleanup before any analysis could begin.
Hundreds of millions of structured ad records, deduped across platforms, with reach, spend, audience, format, and creative metadata. Pull a full industry slice, a country, a quarter, a creative-format cohort, and run analysis the same day. We work with research teams on custom slices, bespoke methodologies, and white-label datasets when the standard product is not the shape of the answer.
When the standard product is not the right shape, our research team works with you directly. Define the question, we deliver the dataset, normalised and documented. Industry slices, cross-market comparisons, white-label datasets for syndicated reports. Methodology shipped with every delivery, fully reproducible.
Whether you ship quarterly category reports, publish peer-reviewed datasets, or build market-entry decks, the underlying index is the same.
Agencies and brand-side analytics teams use Adsmom as the paid-media input to their marketing-mix models. Meta, TikTok, and Google — normalised in one schema, refreshed daily, with the spend, reach, and creative cohorts your model needs to attribute outcomes back to channel decisions.
The line we keep hearing: “If only we had this in our MMM.”