d'hair is a wellness brand selling premium spa turbans, designed for use in saunas, skincare routines, red light therapy, and post-shower rituals. Their product resonated with a niche but growing market, and they had already built strong creative assets and a loyal customer base. With elevated packaging and high-end positioning, d'hair wasn't a mass-market commodity — it was a self-care product for beauty-conscious, wellness-obsessed shoppers.
But even great brands hit plateaus. Despite investing heavily in creative and optimization, d'hair's Meta performance had stalled. ROAS hovered below 1x. CPA crept upward. Add-to-carts and return visits were flat. Worse, up to 15% of orders were being returned — most from one-off buyers who likely weren't the right fit to begin with.
Something had to shift.
d'hair was running Meta's Advantage+ Shopping Campaigns with interest-based targeting. The campaigns were delivering traffic. But it wasn't the right kind of traffic.
Visitors weren't browsing long. They weren't bundling. And they weren't coming back. The return rate told the story: up to 15% of orders were coming back, mostly from one-time buyers who didn't understand or value the product. The brand was paying to acquire customers who weren't actually their customers.
The problem wasn't reach, it was relevance. Interest categories like "beauty" and "wellness" cast too wide a net. d'hair's ideal buyer was specific: someone already engaged with spa culture, self-care rituals, and elevated haircare accessories. Meta's broad interest targeting couldn't distinguish between someone who follows a wellness influencer and someone actively shopping for spa accessories.
d'hair didn't need more volume. They needed to reach shoppers who were already in buying mode for products like theirs.
Slopeside built a custom behavioral intent audience for d'hair, not broad "beauty" or "wellness" interest groups, but people actively researching and shopping for products in d'hair's specific category:
The audience was built from real-time browsing and search behavior: people who were actively in research and shopping mode, not people who simply matched a demographic or interest profile.
d'hair paused their existing interest-based targeting and introduced the Slopeside audience as an Advantage+ suggestion. Same creative. Same budget. Same campaign structure. Only the audience signal changed.
In the month following the switch, the results were immediate and clear. Traffic volume actually decreased but everything that mattered improved. The visitors who did arrive were more qualified, more engaged, and far more likely to buy.
The 550% conversion rate improvement reflects the difference between broad, unqualified traffic and focused, high-intent visitors. With interest targeting, d'hair was paying for clicks from people who weren't actually shopping for their product. With Slopeside audiences, fewer people visited the site — but the ones who did were already in buying mode.
The return rate dropping to zero was the clearest signal of audience quality improvement. When you reach people who actually want your product, they keep it.
d'hair didn't scale by spending more. They scaled by giving Meta a better starting signal.
With interest targeting, Meta was optimizing around broad signals: people who "like" wellness content, follow beauty accounts, or match a demographic profile. The algorithm learned from whoever happened to convert from that wide pool, which meant it optimized toward inconsistent buyer profiles. The result was high volume, low quality, and a 15% return rate.
With Slopeside audiences, Meta started from people who were actively researching spa accessories and self-care products. The early conversions came from genuine buyers and Meta's optimization used those higher-quality signals to calibrate its expansion. The algorithm didn't just find more people faster. It found the right people, because the signal it learned from was stronger.
Nothing else changed. Not the product, not the creative, not the budget. The audience signal made the difference.
How an ecommerce brand ditched interest targeting and scaled purchases by using high-intent seed audiences on Meta.
67 to 118 over same period with same budget
Cost per acquisition dropped from $55 to $38
From 0.99x to 1.33x on the same creative and budget
d'hair is a wellness brand selling premium spa turbans, designed for use in saunas, skincare routines, red light therapy, and post-shower rituals. Their product resonated with a niche but growing market, and they had already built strong creative assets and a loyal customer base. With elevated packaging and high-end positioning, d'hair wasn't a mass-market commodity — it was a self-care product for beauty-conscious, wellness-obsessed shoppers.
But even great brands hit plateaus. Despite investing heavily in creative and optimization, d'hair's Meta performance had stalled. ROAS hovered below 1x. CPA crept upward. Add-to-carts and return visits were flat. Worse, up to 15% of orders were being returned — most from one-off buyers who likely weren't the right fit to begin with.
Something had to shift.
d'hair was running Meta's Advantage+ Shopping Campaigns with interest-based targeting. The campaigns were delivering traffic. But it wasn't the right kind of traffic.
Visitors weren't browsing long. They weren't bundling. And they weren't coming back. The return rate told the story: up to 15% of orders were coming back, mostly from one-time buyers who didn't understand or value the product. The brand was paying to acquire customers who weren't actually their customers.
The problem wasn't reach, it was relevance. Interest categories like "beauty" and "wellness" cast too wide a net. d'hair's ideal buyer was specific: someone already engaged with spa culture, self-care rituals, and elevated haircare accessories. Meta's broad interest targeting couldn't distinguish between someone who follows a wellness influencer and someone actively shopping for spa accessories.
d'hair didn't need more volume. They needed to reach shoppers who were already in buying mode for products like theirs.
Slopeside built a custom behavioral intent audience for d'hair, not broad "beauty" or "wellness" interest groups, but people actively researching and shopping for products in d'hair's specific category:
The audience was built from real-time browsing and search behavior: people who were actively in research and shopping mode, not people who simply matched a demographic or interest profile.
d'hair paused their existing interest-based targeting and introduced the Slopeside audience as an Advantage+ suggestion. Same creative. Same budget. Same campaign structure. Only the audience signal changed.
In the month following the switch, the results were immediate and clear. Traffic volume actually decreased but everything that mattered improved. The visitors who did arrive were more qualified, more engaged, and far more likely to buy.
The 550% conversion rate improvement reflects the difference between broad, unqualified traffic and focused, high-intent visitors. With interest targeting, d'hair was paying for clicks from people who weren't actually shopping for their product. With Slopeside audiences, fewer people visited the site — but the ones who did were already in buying mode.
The return rate dropping to zero was the clearest signal of audience quality improvement. When you reach people who actually want your product, they keep it.
d'hair didn't scale by spending more. They scaled by giving Meta a better starting signal.
With interest targeting, Meta was optimizing around broad signals: people who "like" wellness content, follow beauty accounts, or match a demographic profile. The algorithm learned from whoever happened to convert from that wide pool, which meant it optimized toward inconsistent buyer profiles. The result was high volume, low quality, and a 15% return rate.
With Slopeside audiences, Meta started from people who were actively researching spa accessories and self-care products. The early conversions came from genuine buyers and Meta's optimization used those higher-quality signals to calibrate its expansion. The algorithm didn't just find more people faster. It found the right people, because the signal it learned from was stronger.
Nothing else changed. Not the product, not the creative, not the budget. The audience signal made the difference.
Slopeside AI is a data and technology company powering high-intent audience targeting for B2B and DTC advertisers on Meta.