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Introducing Look-alike Audiences: Discover Your Next Best Customers with Clustr

We're thrilled to announce the launch of Look-alike Audiences, now available in Clustr, a powerful new way to discover entirely new markets filled with people who look just like your best customers.

Every business knows the feeling: your current customers love you, but where do you find more of them? Until now, answering that question meant guesswork, expensive third-party data, or lookalike tools built on cookies and invasive tracking. Clustr changes that.

Here’s how it works. Start with what you already know, the postal codes or ZIP codes where your strongest customers live. Clustr instantly analyzes those areas to identify the personas that define your customer base. Then it scans every neighbourhood across the U.S. and Canada to surface the markets that over-index for those same personas, places your ideal customers already live, that you’ve never targeted before.

The result? A ranked, activation-ready map of untapped opportunity. In minutes, not weeks.

Discovery is the real superpower. Look-alike Audiences isn’t just about targeting, it’s about seeing your growth potential clearly for the first time. Uncover high-potential neighbourhoods you didn’t know existed. Validate expansion markets before you invest. Spot regional pockets of demand your competitors haven’t found. Whether you’re planning your next campaign, your next store location, or your next market entry, Clustr shows you exactly where your future customers are waiting.

And it’s 100% privacy-safe. Unlike traditional look-alike modeling, Clustr Look-alikes are built entirely on aggregated, non-identifiable population data. No cookies. No consumer tracking. No compliance headaches. Just one consistent, privacy-first framework across the U.S. and Canada, ready to plug directly into your media planning and growth strategy.

Your best customers already point the way to your next ones. Now Clustr helps you follow the map.

Look-alike Audiences is available now in Clustr. Log in to try it today.

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