Intelligence from the Field
Strategic thinking and practical guidance grounded in building applied AI, data and software systems for real operational and commercial problems.
Browse the GlossaryPerspectives
Why specialist markets need intelligence infrastructure
Why specialist markets need connected, evidence-backed intelligence infrastructure rather than another static database or research report.

Field Notes
What Building Quantsole Taught Us About Production Analytics
Lessons from building Quantsole, Rodan’s BI and AutoML platform, and how they now shape our production analytics engineering.

Perspectives
What does a data-driven ecommerce growth strategy actually look like?
A data-driven ecommerce growth strategy is more than dashboards. Here's the decision architecture that turns data into compounding commercial growth.

Perspectives
How to choose an AI analytics tool for your ecommerce stack
How to choose an AI analytics tool for your ecommerce stack - a practical framework covering decision quality, integration depth and building the business case.

Perspectives
AI for social commerce: what brands need to know in 2026
AI for social commerce in 2026: what marketing directors and ecommerce leaders need to know about AI-driven discovery, dynamic creative and building real commercial capability.

Perspectives
The Data Layer the Humanoid Robotics Industry Was Missing - Insights
At Rodan, we spend most of our time deep in data - building analytics platforms, training models and helping some of the world's largest organisations make sense of complex information. So when a friend came to us with…

Perspectives
How AI is changing the role of the marketing analyst
How AI is changing the role of the marketing analyst - what it means for your team structure, skills and commercial output.

Perspectives
What is propensity modelling and how do marketing teams use it?
Propensity modelling explained for marketing teams - what it is, how to build it and how to use it to improve targeting, timing and ROI.

Perspectives
How to use AI to improve customer lifetime value in ecommerce
AI-driven customer lifetime value in ecommerce: how growth leaders can build predictive CLV models and turn them into commercial decisions that compound.

Perspectives
AI and first-party data: how to prepare for a cookieless future
AI and first-party data strategy for ecommerce and consumer tech businesses preparing for cookie deprecation and signal loss. Practical steps from Rodan Analytics.
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