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Overview

Provalytics uses aggregated marketing, website, and conversion data to measure incremental impact. The platform does not require user-level tracking, pixels, or tags to produce marketing measurement results.

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Common data types

Provalytics can use data such as:
  • Media spend
  • Impressions
  • Clicks when available
  • Website sessions or visits
  • Orders
  • Revenue
  • Leads
  • CRM funnel stages
  • Offline conversions
  • Retail or marketplace outcomes

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How data is organized

Data is organized into layers that help the model understand what each dataset represents. Common layer types include:
  • Marketing activity
  • Website activity
  • Conversion activity

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Why daily aggregated data matters

Daily data gives the model enough time-series signal to understand how marketing activity relates to outcomes over time. It also avoids relying on individual user paths, which are increasingly incomplete and privacy-constrained.

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What happens after data is connected

Once data is connected and mapped, Provalytics can use it to build model inputs, run measurement, and update reporting tables for dashboards and exports.