CASE STUDY

ILLUMINATING B2C GROWTH

CLIENT

Luxury Home Decor Brand

ILLUMINATING B2C GROWTH: How Petram Empowered a Premium Home Decor Business to Thrive in Direct-to-Consumer Markets

Company Background

With a strong heritage in designing and manufacturing distinctive lighting and home furnishings, this luxury home decor brand primarily catered to wholesale clients. Sensing untapped potential in direct-to-consumer sales, leadership set ambitious revenue targets and began exploring how to refine their marketing and product strategies for a broader online audience. However, minimal visibility into end-user data meant they had few insights for effective B2C segmentation or campaign optimization.

Recognizing the opportunity for sustainable growth, the brand partnered with Petram Analytics to develop a data-forward approach. Through advanced segmentation, forecasting, and tailored marketing initiatives, Petram helped uncover the hidden pathways to boost repeat purchases, elevate average order values, and increase overall brand visibility among discerning home decor consumers.

THE RESULT:

By employing a mix of first-party data analysis, AI-driven segmentation, and targeted campaigns, Petram Analytics enabled the brand to make informed decisions about high-value customer cohorts, marketing spend, and creative strategies. New forecasting models improved inventory planning and aligned product availability with online demand. Focused messaging based on unique customer interests also helped the company stand out in an increasingly competitive design marketplace.

This data-driven approach ultimately yielded significant improvements in return on ad spend, growth in direct consumer sales, and stronger customer loyalty. With real-time insights and segmented messaging in hand, the brand is now poised to build on its elevated market presence, meeting and exceeding the revenue goals set for its B2C expansion.

30x ROAS

Achieved Facebook ad campaigns

64.5 Million

Data Points Analyzed

9 Segments

To group consumers by their purchase behaviors

Project Highlights

Data-Driven Demand Forecasting

Employed advanced modeling to anticipate product-level demand, avoiding costly inventory overstock or shortages during peak sales cycles.

Predictive Customer Analysis

Leveraged AI-driven models to identify demographic cohorts that consistently generated higher spend, empowering the brand to focus on high-ROI segments.

Creative Testing & Messaging

Refined marketing content using real-time insights into consumer interests, enhancing engagement and driving stronger brand loyalty.

Segmentation & Retention Focus

Built RFM-based micro-segments that enabled tailored email, direct mail, and social campaigns—leading to a higher rate of repeat purchases.

Optimized Attribution Strategy

Developed a cross-device measurement process that captured the true performance of social, search, and direct channels for precise budgeting.