Visual Analytics Snapshot

Sep 2023

Makeup Removers

See the top makeup remover brands, images, and design trends that capture attention and convert on the digital shelf.

Discover the makeup remover content that captures attention and drives conversion on Amazon.

Vizit’s AI-powered Visual Content Performance Platform analyzed hundreds of makeup remover product images on Amazon to immediately reveal the attention-grabbing elements of content, as well as the most and least effective image and design trends when it comes to attracting and converting the audience.

Explore the full makeup remover Visual Performance Report to learn more about the winning products, and visual trends that will attract and convert more of the general population.

Category Leaders

Top listings on Amazon

An AI analysis of hundreds of best selling makeup remover product hero and carousel images on Amazon surfaced the most effective images for converting online beauty shoppers on the digital shelf. Learn more about Vizit Scores.

Content Spotlight

The makeup remover images that attract and convert more online shoppers

See content examples that are most effective with from Vizit's AI analysis of thousands of makeup remover images on Amazon.

Hero Image Spotlight

The highest-scoring hero image came from the Bioré Daily Makeup Removing Cloths listing. Bioré kept it simple with a straightforward visual of the front of the facial wipe packaging on a white background. The image score was boosted thanks to the cool color palette and the smaller border around the product.

Carousel Image Spotlight

Aveeno Positively Radiant Oil-Free Makeup Removing Facial Cleansing Wipes had the highest-scoring carousel image across the category. This image capitalizes on the popular trend of showcasing natural ingredients used in the makeup removing wipes. Using whole soybeans as the focal point of the image works in this way, and the simple text banner on the bottom clearly conveys the messaging. The bold, capitalized font also draws plenty of attention to provide relevance to the audience.
Category Trends

The hero and carousel image and design trends that increase traffic and conversion potential on Amazon

Vizit analyzed imagery from the top-searched makeup remover products on Amazon to rank the effectiveness of each brand's imagery with online shoppers. Learn more about Vizit Scores.

FAQs

Analyzing and Measuring PDP Visual Content

Vizit uses AI to simulate the visual preferences of consumer audiences and rate imagery for appeal, and effectiveness. Content Effectiveness Rankings are AI-driven assessments of brand visual content across the digital shelf. The higher a brand's content ranking, the more likely its content is to appeal to the target audience.

About Content Effectiveness Rankings

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Content Effectiveness Rankings

Content Effectiveness Rankings is the first and only AI-generated index of brand content across ecommerce retailers. Brands are ranked by how effective and appealing their visual content is for online shopper audiences in over 20 unique consumer product categories. The Rankings Index is meant to highlight ecommerce content excellence, while the accompanying reports spotlight specific listings, images, and visual trends that are most effective at attracting and converting online audiences.

About Vizit Audience Lenses™️

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Generic Vizit Audience Lenses™️

Generic Vizit Audience Lenses™️ simulate the visual preferences of broad category online shopper audiences (i.e., online petcare shoppers). Vizit’s AI learns from millions of organic audience interactions these audiences have with online imagery to replicate their preferences for visual content and generate Content Effectiveness Rankings. Vizit customers rely on more sophisticated and customized Audience Lenses to analyze, measure, and optimize visual content within the Vizit platform.

About Vizit Content Scoring

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Vizit Content Scoring

Vizit scores visual content for effectiveness with consumer audiences. Each image receives a score from 0-100 that predicts its level of effectiveness with the specified audience. Product detail page (PDP) or listing-level scores are driven by an aggregate score of the product hero or primary imagery, carousel or secondary imagery, volume of content, and sequencing of content. Content Effectiveness Rankings scores may aggregate several brand PDPs depending on retailer search and best seller lists, which fluctuate often. Higher-scoring images and PDPs are more effective and appealing to online shopper audiences.

About Content Benchmarks

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Content Benchmarks

Vizit content benchmarks are sets of competitive visual content on specified retailers. These content benchmarks provide valuable performance context and comparisons with specific examples of high and low scoring imagery. Content Effectiveness Rankings are based on an analysis of the first 100 products that appear on a retailer search query or best seller list.

About Vizit Image Insights

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Vizit Image Insights

AI-powered visual appeal insights reveal specific aspects of imagery that are appealing and unappealing to a selected audience, while attention insights simulate human eye tracking and indicate where attention is likely to be garnered and how the average consumer is likely to view the elements within an image. Along with Vizit Scores, these insights are leveraged to prioritize changes that increase an image’s overall effectiveness with the intended audience.

About the data

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Content Effectiveness Rankings Data

The data powering Vizit’s main Content Effectiveness Rankings index comes from an analysis of visual content from thousands of top selling and top searched products on Amazon U.S. Content scores and overall brand rankings are driven by Vizit’s AI-powered assessment of visual content using their Audience Lens™ technology via the Content Effectiveness Monitoring product. Only the top 10 brands in each category are revealed in Content Effectiveness Rankings. To see a full category analysis, as well as deeper visual trend data and insights, request a demo or submit your own brand or product content for analysis.

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