Proxima

Proxima.ai is an AI-powered marketing platform helping eCommerce brands reduce acquisition costs, increase customer lifetime value, and maximize profitable growth across digital marketing channels.

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What is Proxima?

  • Founder: Alex Song
  • Launch: 2022
  • Use Cases: Build predictive customer audiences for acquisition campaigns, improve retention and lifetime value, benchmark performance with actionable analytics, and reduce wasted spending to boost advertising ROI.
  • Technology: Proxima.ai leverages predictive modeling, AI, and a large anonymized shopper database. It integrates first-party and transactional data with ad performance metrics to create precise audiences and deliver insights for sustainable eCommerce growth.

Proxima is an AI-powered marketing platform that uses consumer intelligence analytics and predictive data to enable businesses that sell directly to customers or through an e-commerce site. Founded in 2022 by Alex Song, the platform aids brands in adjusting to the evolving advertising landscape and increasing costs of consumer acquisition. Proxima combines consumer information collected directly from companies with a customized anonymous shopper graph to find, organize, and interact with potential customers who are likely to make a purchase. Then, Meta, TikTok, and Google interact with AI audiences programmatically to more easily acquire new consumers and maintain a high return on ad spend (ROAS).

Proxima is also helping businesses keep their clients once they buy by doing detailed pre- and post-acquisition retention analysis and measuring customer lifetime value with useful comparisons against other businesses in the same field. The Proxima health module enables companies to identify areas where they are losing money on acquiring, retaining, and selling products and provides them with valuable insights on how to increase revenue. Proxima.ai also gives organizations of all sizes access to enterprise-level predictive targeting and analytics, all while automating complicated workflows across advanced data science procedures without the need to hire big teams of people to do it. This feature is a great choice for DTC businesses that are developing quickly and want to use smarter marketing, be more efficient overall, and grow in a way that lasts.

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Frequently Asked Questions

It combines first-party customer data with anonymized shopper profiles and uses AI modeling to identify and segment high-intent prospects.

It works seamlessly with major platforms, including Meta, TikTok, Google, and programmatic advertising networks.

Yes, it offers health-check analytics, retention tracking, unit economics evaluation, and benchmarking against industry peers.

Yes, it relies on anonymized, aggregated data to ensure security and compliance with evolving privacy standards.

It is best suited for eCommerce and DTC brands looking to improve advertising efficiency, customer retention, and long-term profitability.
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