Lowe's has quietly been building one of the more ambitious digital personalization projects in home improvement retail, and this week the company confirmed it plans to complete the rollout to all customers by the end of 2026, according to Modern Retail.
The system — currently live for an undisclosed percentage of visitors — uses modular content blocks that can be reordered, swapped, and customized based on customer data: location, browsing behavior, past purchases, and even local weather conditions. The result is a homepage that can look substantially different for two customers logging in from different ZIP codes, or different purchase histories.
"As you go to the Lowe's website, and as I go to Lowe's website, we're going to see different content, depending on where you're geographically located, what your preferences are," said Joe Cano, SVP of Digital Commerce at Lowe's. "Your page right now will look 15–20% different, but in a year, it could be 100% different from what I'm seeing."
How It Actually Works
The personalization engine draws on several data inputs. A weather widget — already fully deployed — recommends relevant projects and product categories based on a customer's local forecast. ZIP code-level personalization ties recommendations to what's in stock at the nearest physical store. Purchase history drives timely replacement suggestions, using known product lifecycles — for example, major appliances typically last around seven years — to surface prompts at likely repurchase moments.
The content modules themselves are designed to be interchangeable: category spotlights, project guides, promotional banners, and product recommendations can be individually tuned or swapped without rebuilding the page. Cano described it as building a dynamic editorial layer on top of the existing catalog infrastructure, per CX Dive.
Early Results and the Mylow Factor
Lowe's declined to share specific conversion or engagement metrics from the personalization rollout, but confirmed early testing showed improvements in both areas. That's consistent with the broader pattern from its AI investments: Mylow, Lowe's conversational AI shopping assistant, converts at twice the baseline rate compared to traditional site navigation, while handling nearly one million customer questions per month, according to Lowe's internal data cited by CX Dive.
The combination of an AI assistant and a personalized content layer creates a feedback loop that's more powerful than either tool alone: Mylow gathers intent signals and preference data that can feed the personalization engine, while the personalized environment improves the relevance of what Mylow surfaces.
Why Home Improvement Is a Natural Fit
Home improvement is an especially compelling vertical for website personalization, for reasons that go beyond typical e-commerce dynamics. Unlike apparel or grocery, home improvement purchases are highly project-driven, technical, and geographically variable. A homeowner in Minneapolis winterizing their home has completely different immediate needs than one in Phoenix planning an outdoor kitchen expansion. Surfacing the right content for the right customer at the right moment isn't a nice-to-have — it can be the difference between a customer finding what they need or bouncing to a competitor.
Melissa Minkow, Director of Retail Strategy at CI&T, called the approach "the future of online shopping" as retailers increasingly manage larger SKU counts and more complex purchase journeys, per Modern Retail. The challenge for Lowe's — and any retailer attempting this — is that maintaining truly personalized experiences at scale requires continuous data investment, testing infrastructure, and organizational discipline that most retailers underestimate. The technical build is the easy part.
Still, Lowe's appears to be further along the personalization curve than most. If it executes the full rollout by year-end as planned, it will have built one of the more sophisticated digital storefronts in the home improvement category — and a playbook that competitors will be studying closely.