Home AI Addressable raises $7.5M in Seed to help scale user acquisition for Web3 compa

Addressable raises $7.5M in Seed to help scale user acquisition for Web3 compa

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Addressable raises $7.5M in Seed to help scale user acquisition for Web3 compa

Source: news.google.com

Addressable, a comprehensive 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. The round is understood to help accelerate the expansion of the company’s platform, including additional blockchain and social media integrations.

“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 purchase history,” said Dr. Asaf Nadler, Co-Founder and Chief Scientist at Addressable. “In the face of anonymity, our solution enables Web3 marketers to associate anonymous blockchain audiences with social media activity, ultimately addressing the biggest barrier to Web3 growth today.”

Addressable’s SaaS solution gives Web3 marketing teams a platform to launch campaigns and target new audiences by matching blockchain activity with social profiles. This type of targeting lowers the cost of acquisition compared to more traditional Web2 tools and is already used by Web3 companies such as Polygon, Bancor, Immutable, and Kryptomon.

“We are seeing an increasing number of Web3 companies investing in significant and sustainable user growth through social media, where almost all users spend their time,” added Tomer Sharoni, CEO of Addressable. “Our unique ability to identify Web3 audiences on social media is the missing piece to mass adoption of Web3. In today’s blockchain ecosystem, we are the only SaaS Web3 marketing platform that addresses user acquisition at scale.”

Addressable was founded by Sharoni and Nadler, along 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.

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