Commerce & consumers
Brand and consumer dataset
Understand public discussion of brands, competing products, user experience, purchase reasons, and unmet needs. Coverage can include automotive, beauty, home, and consumer goods, making it easier to compare recurring themes across brands.
Request a sample ↗What to confirm before requesting a quote
- Coverage
- Regions, languages, date range and available record count
- Fields and attachments
- Field definitions, example records and whether original documents or media are required
- Quality and updates
- Deduplication and missing-value rules, sample-based acceptance criteria and update frequency
- Permitted uses
- Internal research, model training, customer-facing products or redistribution
These are project scoping questions, not a statement that every data type includes all coverage or permissions.
01 / WHAT’S INCLUDED
What’s in the dataset
- Brand mentions
- Competitor activity
- Usage experiences
- Purchase reasons and needs
02 / USE CASES
Where it can help
- Consumer insight research
- Brand positioning
03 / DELIVERY
Choose the data you need
Tell us your topics, date range and required fields. Where the source permits, we’ll provide a sample first, then agree on filtering, cleanup and annotation.
Typical delivery formats are Excel, CSV, JSON and JSONL. The quote will state whether original documents or media are included. Let us know if you need recurring updates.
See a sample format ↗Assess the fit for your project
The brand and consumer dataset uses public brand mentions, competitor activity, usage experience, purchase reasons, and needs for consumer insight. It can surface recurring language and comparison themes, but supplies no sensitive personal information and is not a demographic survey.
How can public discussion become brand insight?
Define brands, competitors, categories, and the question to test, such as purchase reasons, usage experience, or unmet needs. Then use a sample to test recurring themes and retain source scope, rather than treating individual comments as market size or causal evidence.
Does it include personal profiles or sensitive information?
It does not include sensitive personal information. Define fields around brands, products, and usage themes in public content, rather than identifying people, inferring sensitive attributes, or building personal profiles.
Sources and usage
Public or authorized sources only; no sensitive personal information is supplied.
If you plan to train a model, use the data in a customer-facing product or share it with third parties, mention this when requesting a quote so we can check source permissions and restrictions.
Public access does not establish permission for collection, training or redistribution. Naming a platform does not imply affiliation, agency or endorsement.
Read about data sources and rights ↗Want to review a sample first?
Tell us your project objectives and we’ll help you assess and find a relevant sample.