UX, after all, is how the product gets made. The more I listen and reflect, the more I ask: how do we solve problems not just through design, but through the way we gather pain points together and act on them?
What pain do customers have, and how do we ensure we are collecting the correct data to create products that truly alleviate it — instead of just adding more noise or saturation? This comes down to asking the right questions: what use case do they really want answered?
That’s where AI and UX come together.
- Storyboard: mapping the customer journey step by step. From ad → landing → product detail → checkout, each frame should clarify intent and proof.
- Value Matrix: matching what customers care about (price, trust, quality, convenience) with the proper evidence on the page.
- Digital Twin: drawing the system — inputs (traffic sources), system (page blocks), outputs (conversions) — so the whole team can have a high-quality conversation about what’s working and what needs testing.
When you treat landing pages as a system, they stop being one-off marketing assets. Instead, they become living models that designers, marketers, and data scientists can improve together — and eventually scale with machine learning.
UX then is not just pixels on a screen, but a continuous loop of asking, testing, and learning:
- What pains are we solving?
- Do we have the correct data?
- How does each block prove value?
- Is the system producing the desired outcomes?
This is the real future of landing page design in e-commerce: not isolated visuals, but storyboards, value matrices, and digital twins — a system we can learn from, improve, and scale.
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