1. Why Product Image Optimization Matters
In the highly competitive world of e-commerce, product images are your first and most powerful salesperson. Before a customer reads your product description, examines your reviews, or compares your prices, they see your images. Research consistently shows that shoppers make purchasing decisions within milliseconds, and high-quality, fast-loading images play a critical role in whether they stay on your page or bounce to a competitor.
The challenge for most online stores is balancing image quality with performance. A beautifully shot, high-resolution product photo that takes five seconds to load will drive away more customers than a slightly less sharp image that appears instantly. This is precisely where automated image optimization tools become indispensable. These tools intelligently compress and resize images without visible quality loss, ensuring your product pages load quickly while maintaining the visual fidelity customers expect.
Consider the statistics: a one-second delay in page load time results in a 7% reduction in conversions. For an e-commerce store generating $100,000 per day, that single second could cost you $7,000 in lost revenue every day. Multiply that across months and years, and the financial impact of unoptimized images becomes staggering. Automated optimization tools eliminate this risk entirely by processing every image consistently and intelligently.
Beyond speed, image optimization directly impacts your search engine rankings. Google has explicitly stated that page speed is a ranking factor, and Core Web Vitals metrics like Largest Contentful Paint (LCP) are heavily influenced by image loading performance. Stores that neglect image optimization find themselves buried in search results while competitors who invest in automation reap the organic traffic rewards.
Furthermore, mobile commerce now accounts for over 70% of all e-commerce traffic. Mobile users often operate on slower connections with limited data plans, making optimized images even more critical. A product page that loads beautifully on a desktop with a fiber connection may be completely unusable on a 4G mobile network if images are not properly compressed and served in modern formats.
The impact extends beyond individual page views. Search engines like Google use page experience signals as ranking factors, meaning slow-loading images can push your entire store lower in search results. When your product pages rank poorly, you receive less organic traffic, fewer potential customers see your products, and your overall revenue suffers. In this way, image optimization is not just a technical improvement but a strategic business decision that affects your entire digital marketing funnel.
Customer trust and brand perception are also influenced by image performance. Shoppers associate fast, professional-looking stores with reliability and quality. A store that takes forever to load images signals neglect and drives customers to competitors who clearly care more about the shopping experience. First impressions matter enormously in e-commerce, and image performance is often the very first technical signal a customer encounters.
🖼️ Image Suggestion
Include a before-and-after comparison showing a product image at 5MB versus the same image optimized to 200KB. Highlight the visual similarity alongside the dramatic file size reduction to demonstrate the power of optimization.
2. How Automated Image Optimization Works
Automated image optimization leverages sophisticated algorithms and, increasingly, artificial intelligence to process images in ways that human editors simply cannot match at scale. Understanding how these tools work helps you make better decisions about which solution fits your specific needs and workflow.
At the most fundamental level, image optimization involves reducing file size while preserving visual quality. There are two primary approaches: lossy and lossless compression. Lossy compression achieves dramatic file size reductions by removing data that the human eye is unlikely to notice — subtle color variations in smooth gradients, for example. Lossless compression finds more efficient ways to store the same data without removing any information, resulting in smaller files with zero quality loss but more modest size reductions.
Modern optimization tools combine both approaches intelligently. They analyze each image individually, determining the optimal compression level for that specific content. A photograph with lots of texture and detail might tolerate aggressive lossy compression because the complexity masks any artifacts. A product shot with clean white backgrounds and sharp edges requires more careful handling to avoid visible degradation.
Beyond compression, automated tools handle several other critical tasks. Format conversion is perhaps the most impactful — automatically generating WebP or AVIF versions of your JPEG and PNG images can reduce file sizes by 25-50% without any visible quality difference. Responsive image generation ensures that each visitor receives an image sized appropriately for their device, rather than forcing a 4000-pixel desktop image onto a 375-pixel smartphone screen.
Smart cropping is another powerful feature offered by advanced tools. Rather than simply resizing images to fit required dimensions, these tools analyze the image content and intelligently crop to preserve the most important visual elements — typically the product itself. This eliminates the need for manual cropping for each platform and ensures consistent presentation across your entire catalog.
The automation aspect is what makes these tools truly transformative for e-commerce businesses. Instead of manually processing each image through Photoshop or a similar application, you upload your originals once and let the system handle everything automatically. New product photos are optimized the moment they enter your system, resized for every required dimension, converted to the best available format, and delivered through content delivery networks for maximum speed.
Quality retention during optimization is achieved through perceptual modeling, which simulates how the human visual system perceives images. Algorithms analyze each pixel block and determine which changes would be noticeable to human observers. Areas with high contrast and fine detail receive gentler compression to preserve sharpness, while smooth areas like backgrounds and gradients can tolerate more aggressive compression without visible artifacts. This intelligent approach ensures that the optimized images look virtually identical to the originals while being dramatically smaller in file size.
Another critical aspect of automated optimization is metadata handling. Product images often contain valuable metadata including color profiles, GPS coordinates, camera settings, and copyright information. Automated tools are configured to preserve the metadata that matters while stripping unnecessary data that bloats file sizes. This selective metadata management ensures that your images remain properly color-calibrated and legally protected while still achieving optimal compression.
🖼️ Image Suggestion
Create an infographic diagram showing the automated optimization pipeline: Upload → Analyze → Compress → Resize → Convert Format → CDN Delivery. Use icons and arrows to illustrate the flow clearly.
3. Squoosh — Google's Free Compression Tool
Squoosh is Google's open-source image compression tool that has quickly become one of the most popular solutions for developers and small e-commerce businesses. Available as a web application at squoosh.app, it requires no installation, no account creation, and no payment — making it the most accessible entry point into automated image optimization.
What makes Squoosh particularly impressive is its real-time preview system. As you adjust compression settings, you can see a split-screen comparison of the original and compressed images, zooming in to inspect specific areas for artifacts. This visual feedback loop helps you find the perfect balance between file size and quality for your specific product images.
Squoosh supports all major image formats including JPEG, PNG, WebP, and AVIF. The AVIF support is particularly noteworthy, as this next-generation format offers superior compression compared to WebP. For e-commerce stores looking to stay ahead of the curve, Squoosh provides an easy way to generate AVIF versions of product images that will load faster than any traditional format.
The tool also offers several advanced features that go beyond simple compression. You can resize images, adjust quality settings on a granular level, apply dithering to reduce banding in gradients, and even change the color space. For e-commerce applications, the resize feature is particularly valuable, allowing you to create multiple sizes from a single high-resolution source image.
However, Squoosh does have limitations that make it more suitable for smaller operations. Processing is done entirely in your browser, which means large batch processing can be slow and memory-intensive. There is no API for integration with e-commerce platforms, and there is no cloud-based workflow for team collaboration. For stores processing fewer than 50 images per day, these limitations are rarely problematic.
The open-source nature of Squoosh also means it benefits from continuous improvement by the developer community. New codecs and optimization techniques are added regularly, keeping it at the cutting edge of image compression technology. For budget-conscious e-commerce businesses, Squoosh represents exceptional value — enterprise-level compression quality at absolutely no cost.
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Show a screenshot of the Squoosh interface with the split-screen comparison view active, demonstrating how the tool allows users to see quality differences in real-time while adjusting compression settings.
4. TinyPNG and TinyJPG
TinyPNG and TinyJPG have earned their reputation as the go-to tools for quick, reliable image compression in the e-commerce world. Despite the simple names, these tools pack sophisticated compression technology that consistently delivers impressive results with virtually zero effort on your part.
The web interface is delightfully straightforward — you drag and drop your images onto the page, watch the cute panda mascot process them, and download the optimized versions. But beneath this playful exterior lies a highly effective compression engine that typically reduces PNG files by 50-80% and JPEG files by 30-50% while maintaining excellent visual quality.
For e-commerce operations that need automation, TinyPNG offers a WordPress plugin, a Shopify app, and a comprehensive API. The WordPress plugin automatically optimizes images as you upload them, integrating seamlessly into your content creation workflow. The Shopify app works similarly, processing product images the moment they are added to your store. The API enables custom integrations with any platform or workflow.
One of the distinguishing features of TinyPNG is its intelligent compression algorithm. Rather than applying a uniform compression level to all images, it analyzes each image individually and applies the optimal settings for that specific content. This adaptive approach means that simple images with flat colors receive different treatment than complex photographs with fine details, ensuring the best possible result for every image.
The free tier allows you to optimize up to 500 images per month, which is generous enough for many small to medium-sized e-commerce stores. Paid plans start at just $9 per month for 10,000 images, making it an extremely cost-effective solution. The API plan offers even higher volumes with pricing that scales linearly, so you only pay for what you use.
TinyPNG also preserves important metadata in your images, including EXIF data and transparency information for PNGs. This is particularly important for product photography where color accuracy matters — the tool ensures that the optimized images look exactly like the originals, just with significantly smaller file sizes.
🖼️ Image Suggestion
Display a comparison grid showing the same product image processed by different compression levels. Include file sizes and visual quality indicators to help readers understand the trade-offs.
5. ShortPixel AI
ShortPixel represents the next generation of image optimization tools, combining traditional compression techniques with artificial intelligence to deliver results that surpass what purely algorithmic approaches can achieve. For e-commerce businesses serious about image quality and performance, ShortPixel AI offers a compelling combination of intelligence and automation.
The AI component of ShortPixel goes beyond simple compression optimization. It can intelligently remove noise from product photographs, upscale low-resolution images while adding realistic detail, and even remove backgrounds automatically. These capabilities transform ShortPixel from a simple compression tool into a comprehensive image enhancement platform.
For product photography specifically, the AI-powered noise reduction is invaluable. Many e-commerce sellers work with smartphone cameras or budget DSLRs that produce noisy images in less-than-ideal lighting conditions. ShortPixel's AI can clean up these images while preserving sharp edges and product details, effectively making your equipment perform better than its price point suggests.
The tool offers three compression levels: Lossy, Glossy, and Lossless. The Glossy option is particularly popular among e-commerce users because it provides a middle ground between aggressive compression and zero quality loss. For most product images, Glossy compression achieves 60-70% file size reduction with quality that is indistinguishable from the original to the casual observer.
ShortPixel integrates with WordPress, WooCommerce, Magento, and other popular e-commerce platforms through plugins. The WordPress plugin is especially feature-rich, allowing you to optimize existing images in your media library, set up automatic optimization for new uploads, and generate WebP or AVIF versions alongside your original formats. It can even replace the image URLs in your pages to serve the optimized versions automatically.
The API offered by ShortPixel is robust and well-documented, making it ideal for custom integrations. You can submit images for optimization via simple HTTP requests, receive optimized versions back, and integrate this process into any automated workflow. Many developers use the ShortPixel API as part of larger content management systems that handle thousands of product images daily.
Pricing is credit-based, with plans starting at $4.99 for 10,000 image credits. Each credit optimizes one image regardless of its original size, and credits never expire. This transparent pricing model makes it easy to budget for image optimization costs as your store grows.
🖼️ Image Suggestion
Show a side-by-side comparison of a noisy product photograph before and after ShortPixel AI processing. Highlight the noise reduction while emphasizing that product details remain sharp and clear.
6. Cloudinary for E-Commerce
Cloudinary is far more than an image optimization tool — it is a comprehensive cloud-based media management platform that handles images, videos, and other digital assets for some of the world's largest e-commerce brands. For stores that need enterprise-grade image management with intelligent automation, Cloudinary sets the standard.
At its core, Cloudinary provides automatic image optimization that works invisibly in the background. When you upload a product image to Cloudinary, the platform analyzes it and stores the original alongside optimized versions in multiple formats and sizes. When a customer requests the image, Cloudinary automatically serves the optimal version based on their device, browser, and connection speed.
The transformation capabilities of Cloudinary go well beyond basic compression. You can apply dynamic resizing, cropping, face detection, background removal, and dozens of other transformations on-the-fly through URL parameters. This means a single uploaded product image can serve as the source for thumbnails, category pages, search results, social media previews, and full-size gallery views — all generated automatically.
For e-commerce specifically, Cloudinary offers specialized features like automatic background removal and replacement, which is incredibly valuable for creating consistent product listings. You can photograph products on any background and let Cloudinary automatically extract the product and place it on a clean white or custom background, ensuring visual consistency across your entire catalog.
The platform also excels at responsive image delivery. Using the `
Cloudinary's integration ecosystem is extensive. Official plugins and extensions are available for Shopify, Magento, WordPress, WooCommerce, and virtually every major e-commerce platform. The API is comprehensive and well-documented, with SDKs for JavaScript, Python, Ruby, PHP, and other popular languages. Setting up Cloudinary typically requires minimal code changes, as the platform can often replace existing image URLs with Cloudinary-managed versions.
The free tier includes 25 credits per month (enough for small stores), while paid plans start at $89 per month for 22,000 credits. While this is more expensive than simpler tools, the comprehensive feature set and enterprise reliability make it worthwhile for serious e-commerce operations.
🖼️ Image Suggestion
Create a diagram showing how one master product image transforms into multiple optimized versions for different use cases: thumbnail, category grid, product detail page, and social media share. Show the automatic format and size selection.
7. Imgix and Automatic Transformations
Imgix takes a fundamentally different approach to image optimization compared to many other tools. Rather than processing and storing multiple optimized versions of each image, Imgix transforms images in real-time as they are requested. This on-the-fly approach means you upload a single high-resolution master image and let Imgix handle every transformation dynamically.
The real-time transformation capability is particularly powerful for e-commerce because it eliminates the need to pre-define every possible image size and format upfront. Instead of manually creating thumbnails, medium-sized previews, and full-size images for each product, you simply provide Imgix with a URL pattern and it generates whatever size, format, or crop is needed at the moment of request.
Imgix supports a vast array of transformations that can be applied through URL parameters. You can resize, crop (with multiple crop modes including entropy and attention), adjust quality, apply sharpening, add watermarks, and convert between formats — all through simple URL modifications. For developers building custom e-commerce experiences, this flexibility is unmatched.
The automatic format selection feature is one of Imgix's strongest selling points. When a browser requests an image, Imgix automatically detects the best format to serve — WebP for Chrome, AVIF for newer browsers, JPEG for older ones — without any configuration required. This ensures optimal compression for every visitor without any additional work on your part.
For product catalogs with hundreds or thousands of images, Imgix's library feature provides powerful organization and batch processing capabilities. You can tag images, create smart collections based on metadata, and apply batch transformations to groups of images. This makes it easy to update the visual style of your entire catalog — for example, adding consistent padding or background colors to all product images.
Imgix integrates seamlessly with cloud storage services like Amazon S3, Google Cloud Storage, and Backblaze B2. You can point Imgix at your existing storage bucket and it will serve optimized versions of your images without requiring you to move or copy any files. This makes adoption particularly easy for stores that already use cloud storage for their product images.
Pricing is based on the number of images processed and the features used, with plans starting at $10 per month for 1,000 images. The pay-as-you-go model means you only pay for what you use, and pricing scales predictably as your catalog grows.
🖼️ Image Suggestion
Illustrate how a single product image URL with different parameters produces different results: ?w=100 (thumbnail), ?w=500 (medium), ?w=1200 (large), ?fmt=webp (WebP format). Show the URL structure and resulting images side by side.
8. ImageKit for Shopify and WooCommerce
ImageKit has positioned itself as the ideal image optimization solution for Shopify and WooCommerce store owners who want powerful automation without technical complexity. With purpose-built integrations for these platforms, ImageKit makes it possible to achieve enterprise-level image optimization with just a few clicks.
The Shopify integration is particularly seamless. Once installed, ImageKit automatically optimizes all product images in your store, generates WebP and AVIF versions, and serves them through a global content delivery network. The entire process is invisible to store owners — you continue uploading product photos as normal while ImageKit handles all the optimization in the background.
What sets ImageKit apart from competing solutions is its real-time transformation engine. Like Imgix, ImageKit can generate optimized images on-the-fly based on the requesting device and browser. But unlike Imgix, ImageKit is specifically optimized for e-commerce workflows, with pre-built transformations for common e-commerce use cases like product thumbnails, gallery images, and zoom views.
The performance monitoring dashboard provides valuable insights into how image optimization is impacting your store's performance. You can see metrics like average image load time, total bandwidth saved, and the percentage of requests served in modern formats. These insights help you understand the ROI of your optimization investment and identify any remaining performance bottlenecks.
ImageKit also offers automatic image enhancement features beyond compression. The tool can automatically adjust brightness, contrast, and color balance to ensure consistent presentation across your product catalog. For stores with images from multiple photographers or sources, this automatic normalization creates a more professional and cohesive shopping experience.
For WooCommerce users, ImageKit provides a plugin that integrates directly into the WordPress admin interface. The plugin offers granular control over which images are optimized, what compression level to use, and how to handle existing images. You can optimize your entire media library with a single click and set up automatic optimization for all future uploads.
Pricing starts with a generous free tier that includes 20GB of bandwidth per month, making it accessible for small stores just getting started with optimization. Paid plans start at $9 per month and scale based on bandwidth usage, with enterprise plans available for high-traffic stores.
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Show the ImageKit dashboard with performance metrics visible, alongside a comparison of page load times before and after implementing the optimization solution on a Shopify store.
9. Kraken.io and Enterprise Solutions
When e-commerce operations reach enterprise scale — processing thousands of images daily across multiple channels — the demands on image optimization tools increase dramatically. Kraken.io, along with other enterprise-grade solutions, is designed to handle these high-volume requirements with the reliability and performance that large businesses demand.
Kraken.io's compression engine is renowned for achieving some of the highest compression ratios in the industry while maintaining excellent visual quality. Their proprietary algorithms analyze images at a pixel level, identifying and removing redundant data with surgical precision. For enterprise clients processing millions of images, even small improvements in compression efficiency translate to significant bandwidth and cost savings.
The enterprise API is built for high-throughput environments, capable of processing thousands of images per minute with consistent performance. Rate limiting is generous, and the API is designed to integrate seamlessly into automated workflows. Many enterprise clients use Kraken.io as part of their content ingestion pipeline, automatically optimizing images as they are received from photographers or suppliers.
Kraken.io offers three compression profiles: Lossy, Lossless, and Smart Lossy. The Smart Lossy profile is particularly popular among enterprise users because it applies intelligent compression that varies based on image content. Faces, text, and sharp edges receive lighter compression to preserve clarity, while smooth gradients and backgrounds receive more aggressive compression to minimize file size.
Beyond Kraken.io, several other enterprise solutions deserve mention. Imagify, developed by the team behind WP Rocket, offers WordPress-focused optimization with a strong emphasis on ease of use. JPEGmini uses patented technology to reduce JPEG file sizes without recompression, preserving the original quality while dramatically reducing size. Piio provides automatic image optimization specifically designed for Shopify, with a focus on Core Web Vitals improvement.
Enterprise solutions typically offer additional features like dedicated support, custom compression algorithms, SLA guarantees, and on-premise deployment options. For stores processing more than 100,000 images per month, these enterprise features often justify the higher price point through improved reliability, performance, and support.
The key consideration when choosing an enterprise solution is not just compression quality, but also integration flexibility, reliability, and support. Enterprise e-commerce operations cannot afford downtime or processing delays, so choosing a provider with a proven track record and robust infrastructure is essential.
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Create a comparison table graphic showing different enterprise solutions side by side, with columns for compression ratio, processing speed, API features, platform integrations, and pricing tiers.
10. Setting Up an Automated Image Pipeline
Creating a fully automated image optimization pipeline is the ultimate goal for any serious e-commerce operation. When set up correctly, this pipeline processes every image from upload to delivery without any manual intervention, ensuring consistent quality and optimal performance across your entire product catalog.
The foundation of any automated pipeline is the ingestion step. This is where images enter your system and are immediately queued for processing. For most e-commerce stores, this happens when a product manager uploads new product photos through the admin interface. By integrating your optimization tool at this point, you ensure that every image is processed the moment it enters your system.
The processing step is where the actual optimization occurs. A well-designed pipeline applies multiple transformations in sequence: first compressing the image to reduce file size, then resizing it to the required dimensions, converting it to modern formats like WebP and AVIF, and finally generating responsive variants for different device sizes. Each step should be configurable so you can adjust settings based on your specific needs.
The delivery step is where optimized images reach your customers. A content delivery network (CDN) is essential at this stage, ensuring that images are served from a server geographically close to each visitor. This reduces latency and further improves load times. Most image optimization tools include CDN delivery in their service, but if yours does not, integrating a CDN like Cloudflare or Amazon CloudFront is straightforward.
Monitoring and alerting are often overlooked but critical components of an automated pipeline. You need visibility into processing success rates, average optimization ratios, and any errors that occur. Set up alerts for anomalies like sudden increases in error rates or drops in compression efficiency, as these could indicate issues with your source images or the optimization service.
For stores using Shopify or WooCommerce, setting up an automated pipeline is relatively simple thanks to platform-specific plugins. Install the plugin, configure your preferred settings, and the pipeline runs automatically. For custom-built stores, you will need to work with your development team to integrate the optimization API into your image upload workflow, but the result is the same — fully automated optimization.
One important consideration is handling existing images. Most optimization tools offer bulk processing capabilities that allow you to retroactively optimize your entire image library. This one-time process can dramatically improve your store's performance overnight, as months or years of unoptimized images are processed and replaced with optimized versions.
🖼️ Image Suggestion
Design a flowchart showing the complete automated pipeline stages: Upload → Queue → Analyze → Compress → Resize → Convert → Store → CDN → Deliver. Include feedback loops for error handling and reprocessing.
11. Measuring Results and ROI
Implementing automated image optimization is an investment, and like any investment, it should be measured to ensure it is delivering returns. Fortunately, image optimization is one of the most measurable improvements you can make to your e-commerce store, with clear metrics that directly correlate to business outcomes.
The most immediate metric to track is page load time. Before implementing optimization, measure the average load time for your product pages using tools like Google PageSpeed Insights or GTmetrix. After optimization, measure again and compare. Most stores see load time reductions of 40-70%, which is immediately noticeable to visitors.
Core Web Vitals are particularly important to monitor, as these metrics directly impact your Google rankings. Largest Contentful Paint (LCP) measures how quickly the main content of your page loads, and unoptimized images are typically the largest contributor to poor LCP scores. After optimization, you should see significant improvements in this metric.
Bounce rate is another key metric that typically improves after image optimization. When pages load faster, fewer visitors leave before the page fully renders. Studies show that optimizing images can reduce bounce rates by 10-30%, which directly translates to more engaged visitors and higher conversion rates.
Conversion rate is the ultimate measure of success. Faster-loading product pages consistently convert at higher rates than slow ones. While many factors influence conversions, image optimization provides a measurable uplift that can be isolated through A/B testing. Show one group of visitors the optimized images and another group the originals, and track the conversion rate difference.
Bandwidth costs should also decrease significantly after optimization. If you are paying for hosting or CDN bandwidth based on usage, smaller image files directly reduce your infrastructure costs. Many stores find that their optimization tool pays for itself through bandwidth savings alone, before even considering the revenue impact of improved performance.
Finally, consider the time savings for your team. If your product managers or content creators were spending hours each week manually optimizing images, that time is now freed up for more valuable activities. Calculate the hourly cost of that labor and factor it into your ROI calculation. In many cases, the time savings alone justify the investment in automated optimization.
To get the most accurate ROI picture, track these metrics over a meaningful time period — at least 30 days before and after implementation. This accounts for natural traffic fluctuations and provides statistically significant results. Document everything, create a clear before-and-after comparison, and use these numbers to justify continued investment in image optimization and to identify opportunities for further improvement.
Setting up proper tracking requires coordination between your analytics and e-commerce platforms. Google Analytics 4 provides detailed page performance data including Core Web Vitals metrics, while your e-commerce platform tracks conversion rates and revenue. By correlating these data sources, you can build a comprehensive picture of how image optimization impacts your bottom line. Custom dashboards in tools like Google Looker Studio can automate this reporting, giving you real-time visibility into performance improvements.
A/B testing provides the most reliable evidence of optimization impact. Split your traffic so that half your visitors see optimized images and the other half see the originals. Run the test for at least two weeks to account for weekly traffic patterns and ensure statistical significance. This controlled experiment isolates the impact of image optimization from other variables like seasonality, marketing campaigns, and product changes, giving you clean data to support your investment decisions.
Long-term monitoring is essential because image optimization is not a one-time project but an ongoing process. As you add new products, update your catalog, and grow your business, maintaining optimal image performance requires continuous attention. Automated tools help with this by processing new images consistently, but you should still review performance metrics regularly to catch any degradation and identify further optimization opportunities.
🖼️ Image Suggestion
Create a dashboard-style graphic showing key metrics before and after optimization: page load time, LCP score, bounce rate, conversion rate, and bandwidth usage. Use green arrows to indicate improvements and percentage changes.
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