How Living Spaces Caters to All Lifestyles With Bloomreach

Industry: Home Goods

Living Spaces offers easy, convenient furniture shopping with unmatched selection, low prices, same-day delivery, and a commitment to community giving.

Products

Challenge

Living Spaces wanted to be the perfect shopping destination for every customer across multiple design styles, but operating in data silos was severely limiting its personalization capabilities.

Specifically: 

  • Fragmented customer data = inconsistent messaging across channels. Customer data was scattered across website, email, and SMS platforms, making it impossible to deliver cohesive experiences.
  • Mixed signals to customers = confused shopping journey. Different channels were recommending different products, creating a disjointed brand experience that undermined customer trust.
  • Style diversity complexity = one-size-fits-all approach failed. Supporting multiple design aesthetics required advanced segmentation and product-based recommendations that their existing tech stack couldn’t deliver.

Solution

Living Spaces implemented Bloomreach to break down data silos and enable consistent, personalized experiences across all touchpoints.

What changed:

Unified data foundation = coordinated marketing across channels. Bloomreach Engagement centralized all customer data in one location, enabling consistent signals across every channel.

Advanced product recommendations = personalized style matching. Sophisticated recommendation algorithms now highlight the best products for each customer’s unique style preferences, moving beyond generic suggestions.

Cross-channel consistency = cohesive customer journey. With unified data, every touchpoint now delivers complementary product suggestions that reinforce the customer’s style profile and shopping intent.

Here’s how it worked:

  1. Data Integration → Bloomreach Engagement consolidated customer data from website interactions, email engagement, and SMS responses into a single platform
  2. Style Profiling → Advanced segmentation algorithms analyzed customer behavior to identify individual style preferences across Living Spaces’ diverse aesthetic offerings
  3. Recommendation Engine → AI-powered product recommendations delivered personalized suggestions optimized for each channel’s constraints (10+ products in email vs. focused selections in SMS)
  4. Cross-channel Coordination → Unified customer profiles ensured consistent messaging and complementary product suggestions across all marketing touchpoints
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Bloomreach really empowers us to do that and that way, for every customer Living Spaces is the perfect shopping destination for them. It’s like, yes, Living Spaces understands me. They understand my style.

Quote-–-headshot-–-Living-Spaces

Pete Franco

President, livingspaces.com

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The text in this case study was created using AI-based transcription and summarization tools. Minor edits were made for clarity. The copy reflects the views expressed in the original video.

 

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