Black Friday 2025: How Top E-commerce Apps Optimizing User Experience with ASO Strategies?

As Black Friday approaches on November 28, 2025, leading retail apps are moving from isolated AI features to full shopping ecosystems—combining visual search, conversational agents and optimized app-store creative to guide shoppers from inspiration to checkout. Adobe forecasts U.S. online holiday sales will reach $253.4B this season, so even small UX gains matter.

From single features to an AI shopping ecosystem

AI is being woven into discovery, personalization and fulfillment. Visual search helps shoppers find items from photos; agentic assistants summarize reviews, plan buys, and complete reorders; and app metadata, screenshots and promo videos tell users why the app is useful before install. Together, these layers reduce friction and shorten time-to-purchase.

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Case Studies: How Temu, Walmart and Best Buy Position AI

Temu — visual-first discovery

Temu exemplifies visual AI innovation with its Visual Intelligence feature on iOS 26, rolled out in a recent update (version 3.97.0). Users can upload images to search for similar products, discovering finds quickly amid Black Friday deals up to 90% off.

Source: FoxData

Screenshots from the app showcase promotional banners for "Black Friday Deals Now" alongside categories like Women's Fashion and Kitchen, integrating gamified elements for engagement. This mobile-first approach addresses controversies around deal legitimacy by prioritizing transparency in reviews and incentives.

Walmart — agentic shopping with Sparky

Walmart's Sparky, a generative AI-powered assistant, represents agentic commerce—handling tasks like reordering, review synthesis, and personalized recommendations.

App screenshots highlight the "Meet your new AI shopping assistant" interface, with prompts like "First free delivery as fast as 1 hour" and real-time tracking.

Source: FoxData

For Black Friday, Sparky facilitates early access for Walmart+ members starting November 25, emphasizing multi-modal inputs (text, images, audio) to weave into daily shopping habits.

Best Buy — AI-powered gifting and discovery

Best Buy's AI Gift Finder uses conversational prompts to suggest products, as seen in screenshots showing queries like "Help me find a unique holiday gift" yielding recommendations such as bird feeders or binoculars under $300.

Source: FoxData

This tool, integrated into the app, focuses on discovery beyond typical categories, boosting conversions during holiday rushes.

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Metadata and creative: the conversion lever

To maximize the impact of these AI features, e-commerce apps are advised to refine their app store metadata strategically.

Title and Subtitle Refinement: Incorporate AI-specific keywords like "AI-Powered Shopping" or "Visual Intelligence Deals" in titles to improve search rankings, while subtitles can highlight benefits such as "Seamless Black Friday Finds with Smart Recommendations."

Description Enhancements: Craft detailed, engaging descriptions that weave in AI narratives, emphasizing how features like conversational assistants elevate convenience. Use bullet points to list user benefits, such as "Upload a photo and discover deals instantly," to appeal to quick-scan shoppers.

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Screenshots and Videos: Prioritize visuals that demonstrate AI in real-time—e.g., before-and-after search results or chatbot interactions. Videos should be short (15-30 seconds) and focus on pain-point resolutions, like finding gifts effortlessly, to boost download conversions.

Keyword Strategy: Research high-volume terms related to Black Friday and AI (e.g., "AI gift finder Black Friday") and integrate them naturally, avoiding stuffing to maintain authenticity and comply with app store guidelines.

For expert assistance in implementing these optimizations, consider ASOWorld's ASO services, which specialize in boosting app visibility and user acquisition through tailored strategies. Our comprehensive approach can help e-commerce apps like yours stand out in competitive markets by fine-tuning metadata to align with AI-driven trends.

👉 ASO Case Study: How An Ecommerce App Reached Top 1 for "Black Friday" on the App Store?

Practical checklist for the Black Friday

• Put core AI value in subtitle (e.g., “Visual Search & AI Gift Finder”).
• First screenshot: show outcome (photo → match → add to cart).
• 15s promo video: muted, mobile-framed, captions, demo full flow.
• Localize metadata and creatives; A/B test early November and iterate often.
• Add a short privacy reassurance line for multimodal features (e.g., “Images processed securely”).

Risks and UX tradeoffs

Visual search needs accurate taxonomy; poor matches harm trust. Conversational agents must avoid over-promising (e.g., instant checkout) unless fully supported. Privacy and clear data use statements are essential to adoption.