PlanetVA PD Measurement

Name: PlanetVA PD Measurement Introduction Video
Uploaded: 2024-06-27T22:15:05Z
Duration: 1 min 33 s
Description: Avoid lost eyewear sales by providing easy PD measurements

Develop by Shopify

$9-$95

/ Month

Free plan available 15 Days Free Trial

Avoid lost eyewear sales by providing easy PD measurements

Reduce cart abandonment

Seamless pd measurement

Minimize returns

Increase customer confidence

Ai-powered precision

Binocular pd measurement

Monocular pd measurement

Face width measurement

Lens order integration

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About PlanetVA PD Measurement

Launched Jun 25, 2024

Built by Shopify

Address

151 O’Connor St, Ottawa, ON, ON, CA

Website Support Portal Privacy policy Tutorial FAQ Document

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Introduction Video

Description

Reduce returns and remakes of your prescription eyewear.

Streamline prescription eyewear shopping with seamless Pupillary Distance (PD) measurement, no loyalty card or credit card is needed. Reduce cart abandonment, and improve profitability by minimizing returns and increasing customer confidence. Achieve precise measurement results thanks to the latest AI algorithms.

Measures Binocular PD
Measures Monocular PDs
Measures Face Width
Integrates with Your Lens Ordering Flow

Pros

Seamless Pupillary Distance (PD) measurement enhances user experience
No loyalty card or credit card required, simplifying user onboarding
Reduces cart abandonment, potentially increasing sales
Improves profitability by minimizing returns
Increases customer confidence with precise measurement results
Uses advanced AI algorithms for accurate measurements
Measures both Binocular and Monocular PDs
Measures face width, providing comprehensive facial measurements
Integrates with lens ordering flow, ensuring smooth customer journey

Cons

Reliance on AI algorithms may lead to occasional inaccuracies
Integration with existing lens ordering systems might require technical adjustments
Lack of additional verification methods for PD measurement could lead to user skepticism
Potential privacy concerns related to facial data collection