CueHQ.ai

About CueHQ

Better recommendations, built by practitioners

We started CueHQ because we saw the same problem across hundreds of e-commerce stores: Klaviyo's native product recommendations aren't good enough. So we built something better.

Our story

CueHQ was born from years of hands-on experience in e-commerce retention. We've managed email programs, built automation flows, and optimized campaigns for stores of all sizes. One thing kept coming up: product recommendations were always the weakest link.

Klaviyo's built-in recommendations rely on basic collaborative filtering — the same approach that powers "customers also bought" widgets everywhere. It works, but it doesn't understand your products, your margins, or your merchandising strategy.

We took a different approach. CueHQ trains a custom encoder on your product catalog to create high-dimensional embeddings that capture the nuances of your inventory. Combined with each customer's purchase history, we generate hyper-relevant product matches — and sync them directly to Klaviyo as custom properties.

The result: higher click-through rates, more revenue per email, and full control over which products get recommended. No code changes, no platform migration. Just smarter recs inside the tools you already use.

Team

Small team, big ambition

We're a focused team of retention and ML specialists. We keep the team small on purpose — it means every partner gets direct access to the people building the product.

L

Lukas

Co-founder & CEO

E-commerce retention specialist with deep experience in email marketing automation and customer lifecycle optimization.

J

Jeljer

Co-founder & CTO

Technical leader driving the architecture and infrastructure behind CueHQ. Ensures the platform is fast, reliable, and scales with our partners.

E

Emile

AI Engineer

Specializes in building the recommendation models and product encoders that power CueHQ's embedding-based personalization.

S

Soner

Engineer

Full-stack engineer building the integrations and data pipelines that connect CueHQ to Klaviyo and partner stores.

A

Arjan

Engineer

Backend engineer focused on platform reliability, API performance, and the systems that keep recommendations flowing.

S

Steven

Engineer

Works across the stack to ship features and ensure a seamless experience for partners from onboarding to production.

J

Jeroen

Engineer

Builds and maintains the core platform infrastructure that powers CueHQ's recommendation delivery at scale.

How we work

Principles we build on

01

Results over features

We measure success by the revenue our partners generate, not by the number of features we ship. Every decision is driven by measurable impact.

02

Partner-first onboarding

We work with a limited number of partners at a time to guarantee white-glove onboarding and support. Quality over quantity.

03

Measurable outcomes

We don't ask you to trust a dashboard — we prove it with data. Every partner gets clear before-and-after reporting on click-through rates, revenue per email, and ROI.

Ready to upgrade your Klaviyo recs?

We're onboarding a limited number of partners. Join the waiting list to secure your spot.