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When you’re a luxury furniture retailer introducing a new high‑end collection, you’re speaking to a very specific kind of consumer.
You’re looking for someone who knows the difference between walnut and wenge, who actually reads the care instructions for velvet, and who has very strong opinions about the appropriate height for a credenza.
But knowing who you want to reach and being able to find them are two different things. That’s where PGM Solutions steps in with audiences and strategy.
Recently, a luxury furniture retailer partnered with PGM to launch their new upscale collection, and the results were extraordinary.
PGM built a custom blended audience and executed a multi-touch acquisition strategy that ultimately drove over $1.5MM in attributed sales in just one month, delivering a jaw‑dropping 3,256% ROAS.
Let’s look further into how they did it, and what your brand can learn from this?
Understanding the Challenge
High-end buyers aren’t browsing, they’re intentionally searching.
Many retailers cast a wide net, but when it comes to high-end clientele, brands have to be more tactical in their approach. Luxury buyers don’t want to feel like they’re being marketed to, they’d prefer to feel like the brand understands their taste, lifestyle, and home.
So, this retailer needed more than just demographic data. They needed to consider behavior and timing; they needed signals that suggested:
“Hi, I’m renovating my home and ready to spend real money, to make it everything I am envisioning and more.”
We delivered by taking a blended approach to audience building, going well beyond lookalikes and broad targeting.
Custom Blended Audiences
So, what exactly is a custom blended audience?
PGM combines data from different sources and intent signals to pinpoint the most qualified, highest‑propensity shoppers for this luxury launch. The blend included:
- Behavioral intent data
- Home and lifestyle attributes
- Audience segments tied to renovation or home‑improvement signals
- High-affinity shoppers with demonstrated luxury‑purchase behavior
The result: An audience that wasn’t too broad or too narrow—just deeply aligned with the retailer’s goals. And more importantly, ready to engage.
A Multi‑Touch Strategy That Followed the Buyer’s Journey
PGM built a cross‑channel strategy designed to shepherd consumers from casual interest to “take my credit card” enthusiasm. The focus being on targeted email and always‑on social to meet those high‑intent shoppers wherever they were most active.
This approach worked because it mirrored the brand’s customers’ real buying behavior.
By showing up with consistency, across multiple touchpoints, PGM kept the brand top‑of‑mind- and delivered messaging that felt personal (in a non-creepy way).
Why This Strategy Worked
Here’s what made the campaign so effective:
1. Precision Targeting
PGM used multi-source data to identify shoppers with proven interest, and the discretionary income to act on it.
2. Omnichannel Consistency
Luxury shoppers expect seamless experiences. So, the coordinated messaging across email and social created trust and recognition, which are two essential ingredients in high-ticket purchases.
3. High‑Intent Timing
The strategy was designed to seek out consumers who were actively in-market; renovating, moving, or furnishing new spaces. Because conversion follows when the timing is right.
4. Measurement and Attribution
PGM’s data-focused approach allowed the retailer to clearly attribute over $1.5MM in sales to the campaign—proof that precision pays off.
Conclusion
PGM doesn’t just build audiences; they find the right audience for your brand, by blending data sources and interpreting buyer signals.
This case study shows what happens when a brand stops relying on guess work and taps into a highly specific segment (in this case, luxury buyers). They were able to connect with them meaningfully.
A 3,256% ROAS is a testament to what intelligent audience-building can achieve.
Download the case study here: https://porchgroupmedia.com/wp-content/uploads/2023/02/High-End-Furniture-Retailer-PGMN-Managed-Services-Case-Study.pdf
