Insights From Rodan

A data-driven ecommerce growth strategy is more than dashboards. Here's the decision architecture that turns data into compounding commercial growth.

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

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.

Rodan contributes to the launch of The Humanoid Index - a live, agent-powered platform tracking the global humanoid robotics market as it happens.

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

Propensity modelling explained for marketing teams — what it is, how to build it and how to use it to improve targeting, timing and ROI.

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

AI and first-party data strategy for ecommerce and consumer tech businesses preparing for cookie deprecation and signal loss. Practical steps from Rodan Analytics.

How to measure AI ROI in performance marketing — a practical framework for marketing directors who need defensible numbers, not efficiency theatre.

Data foundations for ecommerce AI: what customer identity, product data and governance need to look like before you deploy — and what breaks without them.

AI-generated insights only create value if your data and workflow are built for them. Here's how marketing directors can make it work in practice.

AI for inventory management works — but only if your data architecture supports it. Here's what your inventory data actually reveals about where margin is leaking.

AI is reshaping ecommerce margins — not through hype but through specific applications. Here's where brands are seeing real commercial returns.

Customer data platforms explained — what they do, when the investment is justified and how to assess your readiness before buying. Practical guidance for marketing leaders.

AI can improve email marketing performance significantly — but only if your data is ready. Here's where to apply it and what to fix first.

AI for retention marketing explained for growth leaders — how machine learning churn models work, where they fail and how to build a system that reduces churn at scale.

AI is transforming product recommendation engines. Learn how ecommerce businesses are improving conversion, AOV and catalogue discovery with smarter AI systems.

Predictive analytics explained for ecommerce brands — how LTV models, churn scoring and demand forecasting drive real commercial return.

Customer data strategy for ecommerce brands: how to move from data accumulation to commercial activation. A practical framework for marketing and growth leaders.

AI for ecommerce pricing explained for growth leaders — how it works, where the margin value sits and how to implement it without wasted spend.