Proxima operates a Buyer Intelligence Platform that provides ecommerce teams with predictive data to clarify and accelerate creative decision-making. The platform delivers conversion intelligence by surfacing buyer response patterns before performance reports are finalized. This allows marketing teams to create more effective ads with greater confidence and optimize customer acquisition cost.
Funding
$12M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MCFounders
Product
Problem
E-commerce brands struggle to efficiently target high-intent customers due to increasing customer acquisition costs and limitations in traditional in-platform targeting methods. The ability to scale ad spend profitably is hindered by reliance on broad targeting and the difficulty in identifying valuable customer segments.
Solution
Proxima provides predictive data intelligence and AI-driven audience segmentation to improve e-commerce marketing efficiency. By analyzing a large pool of U.S. e-commerce shoppers and transaction data, Proxima enables brands to identify and target high-intent audiences, leading to improved return on ad spend (ROAS) and reduced customer acquisition costs (CAC). The platform generates custom audiences tailored to specific brands and deploys them to the ad platform of choice. Proxima also offers enterprise-grade analytics and industry benchmarks to help businesses make data-driven decisions that fuel growth and maximize customer lifetime value (LTV).
Target Audience
Proxima targets e-commerce brands looking to scale their marketing efficiently, lower customer acquisition costs, and increase customer lifetime value through improved audience targeting and data-driven insights.
Features
- AI Audiences: Predictive audiences built from millions of commerce insights
- Audience Segmentation: Creation of high-intent audiences tailored to specific brands
- Data Pool: Enriched first-party data pool of 70M+ U.S. eCom shoppers
- Algorithm Optimization: Algorithms that constantly learn and improve campaign performance
- Tactical Insights: Enterprise-grade analytics and benchmarks for better business decisions
- Dynamic Industry Benchmarks: Tactics that drive best-in-class growth and retention
- Customer Insights: Deeper understanding of customer shopping habits to maximize LTV
- Product Identification: Identification of most valuable products to drive repeat purchases
- Consumer Scoring: Network-powered consumer scoring to optimize around best new customers