Case study

Turn metric problems into concrete ad-video edits.

Using a portable blender short-form ad, this case shows how to prioritize fixes across the opening, product clarity, proof, and CTA.

How to read this case

The 64 and 82 scores are XY Video internal prediction scores used to show revision priority, not actual platform CTR, CVR, or ROAS. Live results still need validation with the same audience, budget, and product-page conditions.

Before64Revise first
After82Ready to test

Before

  • The first 3 seconds show setup, not result.
  • The product shot is too wide to read the benefit.
  • Proof and comparison are missing.
  • The CTA appears too late.

After

  • Open with the finished result.
  • Add a handheld close-up at second 4.
  • Add same-angle comparison in the middle.
  • Add a product-card click reason at second 11.

Metric chain

Slow setup and a distant product shot first hurt retention and product understanding. Weak proof reduces trust after interest forms, while a late CTA leaves motivated viewers without a clear next step.

Pre-spend validation plan

Test the before and after versions with a controlled budget while keeping audience, objective, and landing page consistent. Compare 2-second retention, 6-second completion, CTR, CVR, and ROAS to see whether the prediction moved in the right direction.

Portable Blender Ad Video Prediction Case Study | XY Video