Smarter predictions.
Higher returns.
Built by the people who wrote the playbook.

Click, conversion, and revenue prediction that outperform benchmarks.

Accurate predictions are the foundation of every high-performing ad system. Our click, conversion, and revenue (GMV) prediction models consistently outperform industry benchmarks, powered by deep neural networks with proprietary user and product embeddings built on modern encoder/decoder architecture. The result: more relevant ads, higher conversion rates, and measurably better returns for you and your partners.

Multi-layered control systems for stable, predictable spend.

Our autobidding system maximizes revenue within whatever constraints you or your partners define — whether that's average CPC, CPA, ROAS, budget caps, or any combination of the above. Our multi-layered control systems ensure not just peak performance, but stable, predictable spend. Less wasted budget. More value delivered to your partners. More profit to your bottom line.

Quantified substitutes and complements for any product.

Understanding how products relate to each other is foundational to great recommendations and pricing strategy. Our substitute and complement embeddings let you instantly identify the closest alternatives and complements for any product, with a quantified measure of substitutability and complementarity for any pair. These power product page carousels, recommendation engines, and serve as high-signal features in downstream ML models.

Causal price elasticity at the individual product level.

Built on top of our proprietary embedding technology, Stellar uses causal machine learning to estimate true price elasticity of demand at the individual product level — not category-level approximations. We provide integration for both manual and fully automated price and product selection optimization, using elasticity estimates and substitute embeddings as inputs. The outcome: prices and product mix that maximize profitability.