“We want to target discerning buyers”
“Our audience is high-income individuals”
“We serve a more affluent market”
3 different ways of saying the same thing — you want to get in front of wealthy people.
Over my career, I’ve had the opportunity to work with luxury brands across various verticals. Whether it’s promoting heliskiing packages, selling yachts in the British Virgin Islands, high-end skincare or luxury custom homes — they all had the same goal — target audiences who have the purchasing power to buy their product or service.
The question is — how does one go about doing that?
This post breaks down the available options in Meta to target affluent audiences and how to strategically set up your campaigns for the best results.
Household Income Targeting
The easiest way to target affluent audiences is by using Meta’s Household Income feature. This is only available in the US — so if you’re targeting Canada or any other country, this option wont work.
There are 8-9.5 million people in the top 5% of zip codes over the age of 35 — if you go to the top 10%, this audience size grows to between 17 and 20 million.
While this targeting option may seem like a smart move for reaching affluent audiences — it comes with significant limitations that can reduce efficiency and precision.
- No Intent Signals: Meta does not actually provide audience intent — only availability. This simply shows you how many people can afford luxury, not necessarily in-market for the product or service you’re selling.
- Geographic Mismatch: High-income ZIP codes are often a geographic mismatch for luxury intent. Just because someone lives in a wealthy area doesn’t mean they’re your customer.
- False Sense of Precision: Platforms infer ZIPs based on device data — not actual residency. You might be targeting commuters, workers, or passersby in wealthy areas. For high-ticket luxury, that kind of slippage adds up fast.
- No Cultural or Psychographic Signals: Luxury buying is often about identity, taste, and belonging — not just disposable income. Two people earning $300K might behave wildly differently: one wants a Rolex, the other wants a van and a Patagonia vest. Income tells you what they earn, not who they are.
Does that make this a useless targeting option? Not quite.
Household Income targeting is quite weak on its own, but layered with additional audience signals and targeting options, can actually achieve some great results.
Lookalike Audiences
Lookalike audiences can be a powerful tool, but only if you have a large enough customer list to start with. Once you upload your existing buyers or leads, Meta will find users who mirror their behaviors and traits.
You can adjust the “closeness” — a 1% lookalike is tightly matched, while 2–5% gives you broader reach with slightly less precision. For luxury brands, smaller, higher-fidelity lookalikes tend to outperform.
Not all customer lists are equal. A lookalike built from your entire email list will perform very differently from one built off your top buyers.
While Meta allows lookalike audiences from as few as 100 matched users (email, phone number, etc.), in practice, you want at least 500–1,000 high-quality matches to get reliable performance.
Behaviour-Based Signals
Meta’s behavioral targeting options also offer a path to reach high-value buyers. These signals reflect what people actually do — not just what they say they like.
Frequent International Travellers
Wealthy people travel often — and internationally. This segment includes users who have shown patterns of travel beyond their home country, based on device data, purchases, and location history.
High-Spending Consumers: In some markets, you’ll see segments like “People who prefer high-value goods in…” These are based on purchase history and transaction data, often provided by Meta’s data partners. They’re particularly valuable when targeting big-ticket products or services with long sales cycles.
Engaged Shoppers: This isn’t technically an “affluent” segment — but it’s a strong indicator of buying intent. It includes people who’ve clicked “Shop Now” on ads in the past, which tells Meta they’re primed to take action. Use this as a layer on top of interest or lookalike audiences to zero in on users more likely to convert — especially for luxury ecommerce or lead-gen campaigns where intent matters more than reach.
Interest-Based Signals
Meta’s interest targeting might seem broad — but when chosen carefully, certain interests act as strong proxies for wealth, aspiration, or luxury buying behavior.
While income filters can miss the mark, and lookalike audiences require existing data, interest-based signals let you reach new affluent prospects by tapping into the brands, lifestyles, and identity cues they’re already engaging with.
I have taken the liberty of going through most of the available interest targeting options on Meta and divided them by category below.
Luxury Brands & Fashion Houses
- Chanel
- Hermès
- Tom Ford
- Louis Vuitton
- Bulgari
- Versace
- Valentino Fashion Group
- Bottega Veneta
- Cartier (jeweler)
- Rolex
- Audemars Piguet
- Patek Philippe & Co.
- Chopard
- Girard-Perregaux
- Loro Piana
- Burberry
- Rimowa
Luxury Cars, Travel & Transport
- Aston Martin
- Ferrari
- Lamborghini
- Bugatti Veyron
- Porsche
- Tesla Model S / X
- Rolls-Royce Motor Cars
- Mercedes-Benz S-Class
- Range Rover
- Bentley
- Gulfstream Aerospace
- NetJets
- VistaJet
- First class travel
- Bell helicopter
Luxury Hospitality & Resorts
- Aman Resorts
- Four Seasons Hotels and Resorts
- Mandarin Oriental Hotel Group
- Ritz-Carlton Hotel Company
- Rosewood Hotels & Resorts
Yachts & Ultra Luxury Assets
- Luxury yacht
- Feadship
- Sunseeker
Interior Design, Real Estate & Art
- Architectural Digest
- Elle Decor
- Art Basel
- Artnet
- Herman Miller (manufacturer)
- B&B Italia
- Milan Furniture Fair
- Antique furniture
- Restoration Hardware
- Sotheby’s International Realty
- LUXE Interiors + Design
- Christie’s Auction House
Private Golf Clubs & Enthusiasts
- Augusta National Golf Club
- Callaway Golf
- Mizuno Corporation
- Bridgestone Golf
- Pine Valley Golf
- Ping Golf
- Titleist
Taste-Making Media & Culture
- Dezeen
- Dwell (Magazine)
- Vogue (Magazine)
- Wine Spectator
- WSJ (Publication)
Other Affluency Signals
- Equestrian Sports (sport)
- Equestrian Services
- John Whitaker (Equestrian)
- Show Jumping (Horse sport)
Layering for Precision: How to Combine Luxury Signals Strategically
The real power of Meta comes from overlapping multiple targeting signals — so you’re filtering not just for income or intent, but identity, lifestyle, and action.
There’s no one-size-fits-all formula, but a good sanity check is your audience size.
Generally, a target size of 500K–1M gives Meta enough data to optimize while keeping the audience focused. If you’re working with a smaller budget, it’s often smarter to go even narrower. You can do this by tightening geography — for example, targeting New York and Los Angeles instead of the entire U.S. This keeps your dollars concentrated in markets that are most likely to convert.
If I were targeting homeowners looking to design a high-end custom home, I might build an audience like this:
- People interested in luxury transport (e.g. private jets, yachts, exotic cars)
- AND people interested in luxury travel (e.g. Aman Resorts, Four Seasons)
- AND people who follow design publications (e.g. Architectural Digest, Elle Decor)
Depending on the estimated size, I’d refine further — maybe layering in designer fashion brands or financial behavior signals to bring the audience down to a more strategic size.
The key is knowing your TAM (Total Addressable Market) — and using that as your reference point when building.
Putting It All Together: What to Prioritize
At this point, you’ve got a full toolkit: income filters, behavioral signals, luxury interests, high-end hobbies, lookalikes, and more. But smart targeting isn’t about using everything — it’s about choosing the right signals for your budget, goals, and audience maturity.
Here’s how to prioritize:
1. If You Have a Customer List — Start There
If you have past buyers, high-quality leads, or even a small CRM list: Start with a Lookalike Audience. It’s the fastest way to let Meta go find more people like your best customers — and the best anchor for layering in interest or behavioral filters.
2. If You Don’t Have a List — Lead With Interest & Behavior
No list? No problem. Build your audience by layering:
A luxury interest (e.g. Rolex, Aman Resorts)
A behavioral signal (e.g. Engaged Shoppers, Frequent Travelers)
And optionally, a high-end hobby or lifestyle cue (e.g. Polo, Golf, Yachting)
Think in 3-point crossovers that capture not just wealth, but relevance.
3. Use Geography to Focus Budget
If your TAM is relatively small — or your budget is — tighten geography instead of watering down targeting to hit a bigger number. It’s better to own NY + LA than to burn cash across 50 states with no traction.
4. Know When to Go Broad — and Let Meta Optimize
If you’re spending at scale and optimizing toward a strong conversion event (e.g. qualified lead, booked consult, purchase), don’t be afraid to:
Use broader lookalikes (2%–5%)
Test different audience segments at once
Let Meta’s Advantage+ audience expansion work in your favor
Just make sure your creative is tight, and your pixel/conversion tracking is solid.
5. Test, Learn, and Iterate
The best strategy isn’t static — it’s responsive.
Start with a few tightly layered audiences, test performance, and double down on what works. Your goal isn’t to guess right — it’s to learn fast.
