Hundreds of millions of ads, normalised across Meta, TikTok, Google, and LinkedIn — with organic TikTok and Instagram posts available as a complementary signal layer. Build market analyses, industry reports, and custom datasets at a scale that was simply not possible before. The data layer for serious research.
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.
1.4bn ads, 11M brands, 60+ countries. Cross-platform, normalised. The largest comparable dataset in the category.
CSV, Parquet, direct to S3, GCS, BigQuery, Snowflake. Land the data where your analysis already lives.
Work with our team on bespoke datasets shaped to your research question. We do the cleanup, you do the analysis.
Every metric documented. Source, sampling, normalisation, all in the open. Reproducible by default.
12+ months of reach trajectories on tracked brands. Quarter-on-quarter, year-on-year, longitudinal cohorts.
REST and MCP for programmatic access. Higher rate limits for research workloads. Auth, paging, full schema docs.
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.
Quarterly category reports with real share-of-voice numbers. Replace partner panels and screenshot-stitching.
Publishable datasets with reproducible methodology. Citable, versioned, and built for peer review.
Market-entry analyses, competitor benchmarks, white-label decks. Ship in days, not months.
Agencies and brand-side analytics teams use Adsmom as the paid-media input to their marketing-mix models. Meta, TikTok, Google, and LinkedIn — 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.”
Talk to our research team about scale, methodology, custom slicing, and bulk pricing.