Alternative data with a clean, point-in-time history.
Investors use web data to see operating trends before they appear in reported results. We build alternative datasets from public sources such as prices, job postings, store locations and product catalogues, with point-in-time history and documented methods suitable for research use.
What makes this industry hard to track.
Point-in-time integrity
Backtests fail if history is revised or filled in afterwards. Data must be stored exactly as captured, with capture timestamps.
Mapping to companies
Brands, websites and store names need to be linked to the listed companies and subsidiaries that own them.
Panel stability
When sources change layout or coverage, breaks in the series must be detected and documented rather than smoothed over.
Compliance review
Investment firms need clear evidence that data is public, collected responsibly and free of personal data.
Eight data points our clients rely on.
Price and discount levels
Price indices for a company's products or services across its channels.
Job postings
Open roles by company, function and location as a hiring signal.
Store and branch counts
Openings and closures from store locators and map listings.
Product launches
New SKUs, models and services first seen on company sites.
Review volume and rating
Customer review trends as a demand and quality signal.
App and marketplace rank
Category and search ranks where publicly displayed.
Company filings and notices
Published announcements and filings from public registries.
Capture metadata
Timestamp, source and method details for every record.
An illustrative extract.
| Week ending | Signal | Company (mapped) | Market | Value | Unit | Change vs prior week | Source type |
|---|---|---|---|---|---|---|---|
| 2026-06-05 | Store count | Listed retailer 1 | UAE | 184 | Stores | +2 | Store locator |
| 2026-06-05 | Job postings | Listed bank 2 | Singapore | 312 | Open roles | -14 | Careers site |
| 2026-06-05 | Average basket price | Listed grocer 3 | Brazil | 412.60 | BRL | +1.8% | Online grocer |
| 2026-06-05 | Menu price index | Listed restaurant group 4 | United States | 103.4 | Index | +0.6 | Delivery apps |
| 2026-06-05 | Average rating | Listed airline 5 | United Kingdom | 3.9 | Stars | -0.1 | Review sites |
Illustrative rows. Sources, markets and fields are agreed with you during scoping.
How teams put it to work.
Operating trend signals
Weekly indices of pricing, hiring or store activity for a coverage universe, delivered to your research environment.
Due diligence datasets
One-off extracts on a target's prices, footprint, hiring and reputation to support private market diligence.
Event monitoring
Tracking of product launches, price changes or closures around earnings and corporate events.
Relevant solutions
Services we use
Related industries
Is the history point-in-time?
Yes. Each record is stored as captured with its timestamp, and we do not overwrite history. If a correction is needed, it is added as a new version so the original remains available.
Can you provide documentation for compliance review?
Yes. We document sources, collection methods, frequency, known breaks and our approach to personal data for each dataset. NDAs are available on request.
Do you sell off-the-shelf datasets?
Our work is mainly bespoke, built around your coverage universe and hypotheses. That means you control the definitions and the data is not a crowded, widely shared feed.
How is data delivered to research teams?
Common options are Parquet or CSV to cloud storage, or direct sync to your data warehouse. Delivery can run daily or weekly on a fixed schedule.