Webflow Engineering for Growth Teams
I build structured Webflow systems with clean architecture, reliable tracking and scalable CMS foundations — so your marketing site becomes a scalable and reliable growth channel.
We do what we love for companies that love what they do.
How I Support Growth Teams
Embedded Webflow engineering focused on velocity, structure and measurable performance.
Webflow Architecture
Designing scalable CMS systems, reusable components, and structured page frameworks.
Landing Page Velocity
Rapid implementation of campaign pages, experiments, and iteration cycles.
Tracking & Attribution
Implementing UTM capture, event tracking and validation across tools.
Performance Optimization
Core Web Vitals awareness and technical SEO best practices.
Experiment Support
A/B test variant implementation and structured rollout.
Ownership & QA
Deployment discipline, QA checks and long-term maintainability.

Lior Frenkel
CPO, Jolt
FAQs
We use a dedicated MONDAY board for all ongoing work.
You submit tasks with clear specs, designs, or campaign context, and everything is tracked transparently from request to deployment.
Tasks are prioritized according to your plan tier.Smaller implementations are typically delivered within 1–3 business days. Larger builds are scoped and scheduled based on your monthly hour allocation.
We operate in an iterative workflow.Improvements, refinements and optimizations are continuously handled within your monthly allocation, just like an in-house engineer.
You’ll work directly with Shachar, a senior Webflow engineer and founder of Devflower — no account managers, no handoffs.
Work is prioritized based on business impact, launch deadlines and performance considerations.I collaborate directly with growth or marketing teams to ensure development efforts support measurable outcomes.
Yes. I regularly implement and validate tracking setups including GA4 events, Meta Pixel, Google Tag Manager and custom event logic.Tracking integrity is part of every launch.
Yes. I implement A/B test variants, support experimentation workflows and ensure tracking accuracy across variants.


