Addressable raises $7.5 million in Seed to help scale user acquisition for Web3 companies
The company is building a SaaS platform for Web3 marketers to help teams reach audiences in the era of anonymous blockchain accounts
Addressable, an end-to-end solution for Web3 marketing, has announced that it has raised $7.5 million in Seed. The round was led by Viola Ventures and Fabric Ventures, with participation from Mensch Capital Partners and North Island Ventures. It is understood the round will help accelerate the expansion of the company’s platform including additional blockchains and social media integrations.
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“Marketing is all about knowing your audience, but since crypto wallets are anonymized by design, Web3 marketers rarely know their audience’s age, country, or purchasing history,” said Dr. Asaf Nadler, co-founder and chief scientist at Addressable. “In the face of anonymity, our solution allows Web3 marketers to associate anonymous blockchain audiences with social media activity, ultimately addressing the most significant barrier to Web3 growth today.”
Addressable’s SaaS solution provides Web3 marketing teams with a platform to launch campaigns and target new audiences by matching blockchain activity with social profiles. This type of targeting reduces cost-of-acquisition compared to more traditional Web2 tools and is already being used by Web3 companies like Polygon, Bancor, Immutable, and Kryptomon.
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“We are witnessing an increasing number of Web3 companies investing in meaningful and sustainable user growth through social media, where almost all users spend their time,” added Tomer Sharoni, Addressable’s CEO. “Our unique ability to pinpoint Web3 audiences on social media is the missing piece for mass adoption of Web3. In today’s blockchain ecosystem, we’re the only Web3 marketing SaaS platform addressing user acquisition at scale.”
Addressable was founded by Sharoni and Nadler, together with Tomer Shlomo who serves as the company’s CTO. The three founders have between them more than 20 publications on blockchain, machine learning, and big data technologies.
