A lot of alternatives seem to solve one slice of the problem well , like search, recommendations, CRM-led personalization, or reporting, but Helium feels more ambitious in how it connects the buying flow.
What made it stand out is that it is not only trying to tell teams what happened. It is trying to shape what the shopper sees and how the buying path works across discovery, ranking, bundling, experimentation, and paid-intent handling.
That feels closer to how ecommerce actually works in practice, especially for brands that care about faster path-to-purchase and higher basket size, not just more reporting.
I’m Shray, cofounder of Helium.
We originally built Helium to help brands personalize eCommerce experiences. But the more teams we worked with, the more we realized how broken “personalization” really is.
Most tools rely on filters, CRM tags, or stale segments. Every shopper gets the same site. Every marketer gets the same surface-level metrics.
So we paused. And rebuilt Helium. To deepen the product and sharpen what it solves.
What it does now:
Understands real-time shopper behavior & intent — no filters, no logins.
- Regenerates UI layouts, product order, imagery, and nudges on the fly.
- Scores visitors across quality, intent, persona-fit, and outcome potential.
- Shows performance teams exactly which clicks are worth paying for.
- Connects back into ad platforms to help you spend smarter, not louder.
Use cases?
Growth teams run live experiments.
Marketers uncover waste in ad spend.
UX leads finally see what different personas actually feel.
Dev teams integrate in 2 minutes.
Try it live:
Drop your URL, tell us what you do (Growth, Creative, Marketing, etc.), and Helium will run your store through the engine. In 2 minutes, you’ll see what your site could be — if it actually knew who it was talking to.
Would love your feedback. And if this resonates, an upvote means a lot 💚