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SPECIFICTION
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rex by AureliaX

rexmetrics.com

WebAPI

What it is

rex by AureliaX is a Marketing Mix Modelling platform for measuring and improving marketing performance across online and offline channels. Bayesian machine-learning models test starting assumptions against two to three years of historical data. Response curves and scenario planning support recommended budget allocations, while the platform provides budget planning, forecasting and ROI reporting. Users can inspect model components, confidence intervals, initial assumptions and how incoming data changed them. rex connects to more than 500 marketing platforms, including Google Ads, Meta, TikTok, Snapchat, LinkedIn and Pinterest. For offline channels without APIs, templates accept weekly or monthly spend and reach figures. Recommendations are updated monthly and reviewed by the maker’s team. Onboarding typically includes two or three sessions and a monthly review. The service is available through web and API access. Its maker describes it as GDPR-compliant and privacy-first and says it does not rely on user-level cookies. Pricing is tailored to business needs, users and modules, with pilot programs for strategic partners.

Spec sheet

What it does
rex is a Marketing Mix Modelling platform for measuring and optimizing marketing performance across online and offline channels.Read 7 Oct 2026 · rexmetrics.com
Intended users
rex is designed for mid-market and enterprise companies, including marketing, finance, and leadership teams.Read 7 Oct 2026 · rexmetrics.com
Privacy
The maker says rex does not rely on user-level cookies and describes the platform as GDPR-compliant and privacy-first.Read 7 Oct 2026 · rexmetrics.com
Headquarters
Amsterdam, NetherlandsRead 28 Sep 2026 · rexmetrics.com
Founded
2023Read 28 Sep 2026 · rexmetrics.com
Budget optimization
The platform uses response curves and scenario planning to recommend budget allocations.Read 7 Oct 2026 · rexmetrics.com
Data integrations
The maker says rex connects to 500+ marketing platforms, including Google Ads, Meta, TikTok, Snapchat, LinkedIn, and Pinterest.Read 7 Oct 2026 · rexmetrics.com
Modelling
rex uses Bayesian ML models and tests starting assumptions against 2–3 years of historical data.Read 7 Oct 2026 · rexmetrics.com
Notable data requirement
The maker says its modelling process tests assumptions against 2–3 years of historical data.Read 7 Oct 2026 · rexmetrics.com
Offline channels
For channels without APIs, rex provides templates for entering weekly or monthly spend and reach data.Read 7 Oct 2026 · rexmetrics.com
Transparency
The maker says users can inspect model components, confidence intervals, starting assumptions, and how data changed them.Read 7 Oct 2026 · rexmetrics.com
Updates and support
The maker says recommendations are updated monthly and reviewed by its team; onboarding typically includes 2–3 sessions and a monthly review.Read 7 Oct 2026 · rexmetrics.com

Plans and prices

Tailored pricing Priced on request Customized to business needs, users, and modules · Pilot program offers for strategic partners · Dedicated onboarding and support Read 7 Oct 2026 · aureliax.co

Every rex by AureliaX plan and price →

Strong points and limits

Strong points

  • Models online and offline marketing channels
  • Tests assumptions against two to three years of data
  • Connects to more than 500 marketing platforms
  • Supports forecasting and scenario planning
  • Exposes model components and confidence intervals

Limits

  • Pricing is customized rather than published
  • Modelling requires two to three years of historical data
  • Offline channels without APIs require manual templates
  • Recommendations are updated monthly

Who it suits

rex is designed for mid-market and enterprise companies, including marketing, finance and leadership teams. It fits organizations that need modeled budget decisions across online and offline channels.

Verdict

rex combines marketing-mix models, scenario planning and broad platform connections for enterprise budgeting and reporting. Its data-history requirement and tailored pricing should be considered before adoption.

Where Specifiction places it

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