Have you ever wanted to find brands based on their audience demographics?
Traditional brand discovery has often focused on product categories, website traffic, or social metrics. But what if you could identify brands based on who they're actually engaging with?
With Charm.io's latest update, you can.
Charm is thrilled to announce the launch of audience demographic filters—a powerful new way to surface brands based on the gender, age, and location of their audiences. Whether you're a retailer, agency, investor, or 3PL provider, these tools help you prospect for brands aligned with your goals faster, smarter, and with pinpoint precision.
Charm's audience demographic filters open up a whole new dimension of brand discovery. Instead of just evaluating what a brand sells or how much traffic it receives, you can now additionally assess who exactly the brand is resonating with. These filters are designed to help you align your company’s efforts with precise market segments, enabling smarter, data-driven decisions.
Use the audience demographic filters to search by:
These demographic filters can be layered with existing criteria such as:
These in-depth filters allow you to easily find the brands you’re looking for and help you grow your business.
These new filters offer flexible and targeted use cases across various industries. By understanding not just what a brand sells but who they connect with, you can make better strategic decisions—whether you're curating store inventory, pitching marketing services, analyzing regional growth potential, or screening investment opportunities.
Smarter merchandising starts here. Demographic filters offer retailers a data-backed method for merchandising based on their existing audience demographics or underserved audiences they want to penetrate.
Rather than guessing which brands will resonate with your core customers, you can now discover brands whose audiences closely reflect your store's demographics. This data reduces inventory risk, increases shelf performance, and supports more targeted marketing.
Noticing the increase in men purchasing beauty items, beauty retailers serving the 25-44 age range may want to expand their TAM and search for beauty products with an audience that skews towards men.
We used the Prospector tool to search for the following:
The results? A list of 1.6K brands that fit this exact demographic and could be a good fit for beauty retailers looking to partner with brands reaching men.
Brands include:
Request a demo to use these demographic filters to optimize your product assortment and make informed merchandising decisions today.
3PLs can use demographic data to identify and support brands whose customer locations align with their logistics capabilities. With the country filter, 3PLs can identify brands whose target audience overlaps with the regions where they already ship. This makes it easy to reach out with tailored fulfillment solutions.
For example:
We put the data to the test and used the Prospector to search for the following:
The results? A list of 6.9K brands that fit this exact demographic and that 3PLs with services in the U.K. area should pitch their services to.
Brands include:
Request a demo to find your next 3PL clients using in-depth demographic data.
Agencies can use demographic data to pitch smarter and scale their wins. They can identify brands with audiences similar to those they’ve already driven success for. This strengthens outreach efforts and allows for more strategic alignment between service capabilities and brand needs.
For instance:
We put the data to the test and used the Prospector to search for brands that met the following criteria:
The results? A list of over 9.9K brands that fit this exact demographic and that an agency could reach out to and offer their marketing services to increase their social following and engagement.
Brands include:
Request a demo to find your next agency customers using in-depth demographic data.
For investors, demographic data acts as a qualifying layer when screening for potential deals. Layer in demographic filters with growth and success metrics to find qualified brands that align with your investment thesis.
Examples:
This type of demographic intelligence accelerates due diligence and supports more thesis-aligned, conviction-led investing.
We put the data to the test and used the Prospector to search for brands that met the following criteria:
The results? A list of over 4.7K brands that fit this exact demographic and that could be potential investment opportunities for investors searching for high-growth brands serving women in the 25-34 range.
Brands include:
Request a demo to source and diligence investment opportunities using in-depth demographic data.
With Charm's demographic filters, you're no longer prospecting for brands in the dark. Whether you're optimizing your product assortment, refining your sales pitch, or sourcing investment targets, you now have the who behind every brand's audience.
Request a demo and start using demographic data to grow your business..