Key Applications
Enhanced Credit Risk Prediction
Embeddings power Avra’s own Credit Score solution — and you can use them directly as features in your internal models.- How it Works: By using our embeddings as features, your models can capture complex, non-linear signals about an entity’s network, behavior, and latent risks that are impossible to derive from traditional data sources.
- Benefit: Achieve a significant uplift in model performance (ROC-AUC, Gini) and make more accurate predictions, especially for thin-file entities.
Intelligent Audience Segmentation & Lookalike Modeling
Go beyond simple firmographics to find your true ideal customers.- How it Works: Calculate the similarity (e.g., using cosine distance) between the embedding of a known “good” customer and your prospect base. The prospects with the most similar embeddings are your highest-potential lookalikes.
- Benefit: Dramatically improve lead conversion rates by focusing sales and marketing efforts on prospects that behave just like your best customers.
Lifetime Value (LTV) Prediction
Forecast the long-term value of a customer with greater accuracy.- How it Works: Embeddings capture patterns in revenue, engagement, and growth trends that are highly predictive of future value. Use them as features in your LTV models to understand which customers are worth investing in.
- Benefit: Optimize marketing spend, tailor retention strategies, and focus your account management efforts on high-potential customers.
Fraud Detection and Anomaly Detection
Embeddings excel at identifying subtle patterns that signal fraudulent or unusual activity.- How it Works: In the embedding space, fraudulent entities often form distinct clusters or appear as outliers far from legitimate groups. By monitoring these patterns, you can flag suspicious activity in real-time.
- Benefit: Detect and prevent fraud faster by identifying anomalies, suspicious networks of connected entities, and deviations from normal behavior.
Economic Insights and Benchmarking
Use embeddings to understand the competitive landscape and your position within it.- How it Works: Visualize the embedding space (using UMAP or t-SNE) to see how your company, your customers, and your competitors cluster. Identify “white space” in the market or benchmark your customers against their peers.
- Benefit: Gain a data-driven, holistic view of the economic ecosystem to inform strategic decisions, M&A activity, and market entry plans.