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Oxford Data Plan

The MethodologyBehind the Estimates

Our KPI estimates are built through a rigorous methodology combining proprietary data, robust modelling and continuous validation. The result is reliable, consistent intelligence designed to fit seamlessly into your investment workflow.

Introducing KPI Forecasting: A Forward-Looking View of Quarterly Performance
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Multiple Sources. One Clear Signal.

Multiple independent data types are combined to produce reliable daily estimates and a clearer view of company performance.

  • Output

  • Analysis and Modelling

  • Consumer Receipt Data

    • Global Receipt Panel

      Proprietary In-House Data

  • Transaction Data

    • US Transaction Data

      Mix of Exclusive and Non-Exclusive Data

    • UK Transaction Data

      Exclusive Partner Data

    • South Korean Transaction Data

      Non-Exclusive Data

  • Web Collected Data

    • Website Scraping

      Proprietary In-House Data

    • Tech Stack Analysis

      Proprietary In-House Data

  • Industry Data

    • Advertising Agency Panel

      Proprietary In-House Data

    • Advertising Intelligence

      Exclusive Partner Data

    • App Data

      Non-Exclusive Data

  • Location-Based Data

    • POI

      Non-Exclusive Data

    • Flight Data

      Proprietary In-House Data

    • Cruise Data

      Proprietary In-House Data

Proprietary In-House Data Exclusive Partner Data Mix of Exclusive and Non-Exclusive Data Non-Exclusive Data

Frequently Asked Questions

We measure estimated accuracy through backtesting, comparing ODP model outputs with companies’ subsequently reported results. This allows us to assess model performance consistently over time and across KPIs.

We build unbiased estimates using the data available. These estimates are particularly useful for identifying trends and seasonality, rather than predicting precise magnitude.

Yes. Our data contracts include terms designed to ensure that data is collected and sourced in accordance with applicable legal, regulatory, and ethical standards.

Our models are reviewed regularly, with new data sources being integrated to help improve the quality of our outputs.