Smarter Targeting and Omnichannel Activation Strengthen Market Performance | Retail
5/20/2025
RRD’s predictive data and digital solutions enhance performance for a leading specialty furniture retailer
CHALLENGE
A leading specialty furniture retailer sought to make its marketing spend work harder. After years of managing separate print and digital campaigns, the company faced mounting challenges — including poor data quality, inconsistent lead performance, and difficulty connecting media investments to measurable outcomes. As the brand expanded into more competitive markets, these inefficiencies became more pronounced.
The client wanted a partner to help unify and enrich first-party data, surface actionable insights, and support differentiated strategies across both mature and growth markets. Their goals included improving return on ad spend (ROAS), lowering cost per acquisition, and expanding omnichannel reach.
SOLUTION
The retailer entrusted RRD to help evolve its marketing strategy and drive stronger results through a fully integrated, data-driven approach. RRD implemented an omnichannel solution combining predictive analytics, audience modeling, and coordinated media activation across channels.
Key components included:
- Predictive modeling to refine print audience profiles and identify high-value targets
- Coordinated print and digital targeting to reinforce messaging across channels
- Connected TV (CTV) activation with high-engagement placements
- Competitive insights to inform local strategies and counter market pressure
- Ongoing optimization using real-time performance insights and matchback measurement
The client provided daily data and feedback, while RRD cross-functional teams provided insights, execution, and performance analysis across channels.
RESULTS
By partnering with RRD, the retailer achieved improvements in efficiency and performance, including:
- Increased ROAS through an optimized mix of print and digital media
- Significant total digital-influenced revenue generation by CTV
- Increased sales during targeted, high-traffic retail periods
- Increased engagement through predictive targeting strategies
- Matchback analysis enabled 1:1 attribution, tying media exposure directly to revenue