Helium - 2026 Pricing, Features, Reviews & Alternatives

Helium is an end-to-end growth enabler platform for direct-to-consumer commerce brands that applies artificial intelligence to personalization and merchandising. The platform supports retailers in apparel, consumer electronics, furniture, and health and wellness sectors with real-time adaptive shopping experiences that do not require customer login credentials or prior user profiles. It processes visitor behavior, catalog data, advertising inputs, and order information to deliver tailored storefront experiences aligned with individual shopper intent.

Personalization is driven by three intelligence layers that operate in concert for each shopping session. Visitor intelligence captures demographic information, preferences, and twenty unique variables upon arrival, grouping visitors into segments such as window shoppers, returners, first-time visitors, and offer thrifters. Product intelligence uses computer vision models to analyze the entire catalog, identifying visual attributes, use cases, and distinguishing characteristics of each item. Real-time session intelligence monitors every user action, deconstructing website elements and converting interactions into signals that inform personalization decisions. Feature capabilities include adaptive storefront modifications for landing pages, smart recommendations for contextual cross-sells and upsells, dynamic bundle creation, and search tuning. Conversion likelihood scores are generated for each session to flag high-intent visitors. The personalization engine begins delivering customized interactions within fifteen days of deployment and continuously refines its algorithms through ongoing learning.

Implementation requires adding a single script to an existing storefront, with setup completed within minutes. Input data from sessions, catalogs, advertising, and orders is processed by an analytics component called Pulse. This component provides intent scoring, revenue tracking, and actionable insights that highlight pain points and suggest audience refinement actions for advertising campaigns. Quick actions and priority recommendations appear in an interface where they can be accepted or adjusted. The architecture connects seamlessly with commerce environments worldwide and focuses output on improving conversion rates, return on advertising spend, and average order value through targeted site adjustments, product feed optimizations, and campaign recommendations aligned with captured visitor intent signals.