Scaling Content with Generative AI: The Processes That Make It Work
Author: Brendan Raybuck Head of Growth, Northern There’s been no shortage of hype around Generative AI in marketing content production — and for good…
Adobe Commerce Optimizer Explained: The Modern Path to Storefront Speed
Introduction: The New Era of Adobe Commerce What if you could modernize your commerce experience without tearing everything down and building from…
What Is Agentic Commerce and Why It Matters in 2026
Every so often, a new disruption enters the world of retail and fundamentally reshapes what feels normal. Google Search revolutionized how consumers…
The Power of Personalization and Marketing Automation
Creating and scaling effective marketing campaigns is no easy feat—consumer expectations have evolved, and today’s shoppers are looking for…
Turning Adobe’s Embedded AI into Real Marketing Performance
Author: Mark Kelley CEO, Northern The Adobe Experience Cloud product suite ships with powerful embedded AI capabilities that organizations can adopt…
Northern Recognized by Retail Insider as a Top eCommerce Agency in Canada
Retail Insider, one of Canada’s leading retail industry publications, recently recognized Northern as one of the best eCommerce agencies in the…
How Northern Orchestrates AI Across Adobe Experience Cloud for Real Business Impact
For AI to create real value, it cannot sit on the sidelines as an experiment. It has to become part of the system behind the work. This is way easier…
Building the World’s Fastest Apparel Storefront: Lessons in CX Transformation from the Front Lines of Retail Tech
Guest Author: Leo Griffin As a digital transformation executive who has held senior roles at consumer brand companies including VF Corp, HanesBrands…
Overhauling a Retail Giant’s Data Layer: Northern’s Strategy for the Tealium Stack
When a major retailer merged with a new business unit, analytics took a back seat. The result was a disjointed data layer, broken event tracking, and a Customer Data Platform (CDP) that could not deliver on its promise. Over time, a patchwork of bandage fixes added complexity to the setup, leading to inconsistent tagging, lost data, and growing frustration across teams. With all of these issues compounding, the question became clear: how do you rebuild confidence in the data?