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…
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…
Shipping and Fulfillment Strategies for Black Friday 2020
Unprecedented times are an apt way to describe the 2020 experience of consumers and retailers alike. For the former, safety, accessibility, and…
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…
Solidify Your Digital Strategy for Q4 Performance
The competitive eCommerce landscape is accelerating faster than traditional planning can accommodate. We recommend a more agile approach. As more…
Let's Chat about Chatters' Hybrid Omnichannel Commerce
Northern launched the new Chatters digital experience leveraging Adobe Commerce and an integration with LS Central (POS/ERP) to marry the brand's key revenue drivers - product sales and salon services.
10 Helpful GA4 Reports (And How to Use Them)
Need to Know Google Analytics 4 Explorations offer a huge amount of customization options and opportunities for detailed insights They can be set up…
How to Install the Snapchat Tracking Pixel on Shopify and Magento: A Step-By-Step Guide
With Snapchat’s release of its tracking pixel, what used to be a mere picture sharing app has evolved into a competitive performance advertising…
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?