Cases

This case study explores a US Amazon fashion seller whose summer dress listing failed to convert despite heavy ad spend. Initially blaming traffic, the team's efforts to tune ads only resulted in high ACOS. A deep listing analysis revealed the true issue: a fundamental conversion bottleneck on the product page itself, which was systematically weaker than its competitor's. The solution was to shift focus from ad optimization to rebuilding the listing's conversion power—improving the title, images, and A+ content. This demonstrates why sellers must analyze page performance before simply pushing more ads.

DeepBI

Marketing Automation Expert

2026-05-29

This case study explores an Amazon craft paint seller struggling with high ACOS and weak sales. Initially focusing on ad and keyword tweaks, a benchmark analysis revealed the true issue: a poor product page lacking A+ content, visual proof, and trust signals. The page couldn't convert the traffic it received. The solution involved prioritizing listing optimization, correcting misleading imagery, and building a complete A+ visual story to restore conversion capacity. This approach highlights why sellers should fix foundational product page issues before scaling ad spend to control advertising costs.

DeepBI

Marketing Automation Expert

2026-05-28

This case study analyzes an Amazon art supplies seller with high ACOS despite strong reviews and ad traffic. A diagnosis revealed the true bottleneck was not ad performance but the listing's conversion capacity, due to a complete lack of A+ content. The optimization strategy pivoted from ad tuning to rebuilding the page's sales logic by redesigning the title, bullet points, images, and creating a full A+ story. This demonstrates why structurally repairing a listing's conversion path is essential before expecting stable ad performance, even with good reviews.

DeepBI

AI Specialist

2026-05-28

Discover how a US Amazon seller in the baby-care category transformed their underperforming portable bottle warmer listing. Despite superior technical specs, their product page failed to convert traffic due to a 'specs-first' approach. This case study details the diagnosis, revealing the issue was not ad spend but a product page that read like a manual. Learn how reframing the listing around real-world use, addressing pain points like battery anxiety and late-night feeding, and enhancing A+ content dramatically improved conversion. A crucial read for sellers struggling with stubborn ACOS and low ad scalability.

DeepBI

Marketing Automation Expert

2026-05-27

Explore a case study of an Amazon golf launch monitor seller facing rising ad costs despite strong reviews and traffic. The issue wasn't the ad campaigns but a flawed product page conversion logic. Discover how optimizing the listing—by restructuring the title, redesigning the main image set to reduce risk, and rebuilding A+ content to address hidden costs and trust concerns—fixed the conversion bottleneck. This is a critical reminder for sellers that when ACOS is high, the first place to audit is often the product page itself, not the ad console.

DeepBI

AI Specialist

2026-05-27

Discover how a US workwear seller fixed a low-converting Amazon listing for a men's work T-shirt. Despite high ad traffic and a technically strong page, ACOS was rising. The problem wasn't the ad campaigns but the product page itself. The main images and A+ content overemphasized industrial toughness while failing to answer basic buyer questions about fit and fabric comfort. By rebuilding the visual story around fit, feel, and sizing clarity, the seller aligned the page with the customer's buying journey, proving that ad optimization can't fix fundamental page-level trust issues.

DeepBI

Marketing Automation Expert

2026-05-26

An established Amazon haircare seller struggled with their volumizing shampoo listing. Despite superior brand visuals and ratings, ad spend failed to convert traffic into sales. Our diagnostics revealed the problem was not ad strategy but the product page's structure. The listing prioritized bold performance claims over crucial trust-building elements like safety, ingredients, and verified proof. This case study examines how the page's inverted persuasion logic created a conversion leak, and how reordering content to emphasize trust and safety was identified as the key to improving performance.

DeepBI

Marketing Automation Expert

2026-05-26

Discover how a women's outdoor jacket on Amazon overcame stagnant sales despite a healthy star rating. The team initially diagnosed the problem as a simple lack of reviews compared to a leading competitor, focusing on ads and social proof. However, this case study reveals the true constraint was not review volume but poor listing quality. A deep diagnostic benchmark showed their listing scored a 64/100 versus the competitor's 81/100. This analysis shifted the focus from chasing reviews to fixing fundamental listing logic and design issues that were blocking conversion.

DeepBI

AI Specialist

2026-05-25

Discover how a hitch camera brand with superior product specs, including a 4000mAh battery and IP68 protection, was underperforming against a key competitor on Amazon. This case study explores their initial misdiagnosis, which focused on improving visuals and A+ content. Learn how they moved beyond the 'image problem' to understand the real issues behind low conversion rates and negative reviews. The brand rebuilt its entire listing logic, shifting from showcasing technical parameters to addressing the core factors that truly drive customer persuasion and sales on the platform.

DeepBI

AI Specialist

2026-05-25

Explore a case study of a swimming headphone brand whose competitive product underperformed on Amazon. The team initially blamed 'bad images' and planned a full creative refresh, misdiagnosing a trust and decision-risk gap as a visual appeal problem. This analysis reveals how a structured diagnosis, instead of a simple redesign, was used to identify the real conversion constraints. Learn how they moved beyond assumptions to quantify the performance gap against a benchmark competitor and determine the correct order of fixes to improve buyer judgment and sales.

DeepBI

Marketing Automation Expert

2026-05-23

Discover how a meal-prep brand selling 32oz glass containers on Amazon US diagnosed its underperformance against a smaller competitor. Despite better value and solid reviews, their listing was losing. The team initially assumed unattractive images were the problem, planning a visual refresh to boost CTR. This case study explores their investigation with DeepBI to find the real listing constraint, moving beyond the simple aesthetics problem to uncover the structural gaps causing them to lose to their benchmark competitor, revealing why previous visual updates had failed to make an impact.

DeepBI

AI Specialist

2026-05-22

Discover how an Amazon seller with a well-rated pearl earring listing overcame a stagnant conversion rate and high ACOS. Despite strong reviews and A+ content, the issue was not the ad campaigns but the page's trust and decision structure. This case study details the strategic shift from focusing on ads to optimizing the listing itself. By re-prioritizing the title, clarifying visuals for size and variants, and front-loading trust signals like materials and hypoallergenic proof, the page's performance was unlocked, making paid traffic profitable.

DeepBI

Marketing Automation Expert

2026-05-21

Discover how a personal care brand diagnosed a major conversion leak on their Amazon body wash listing. The team initially blamed a lack of reviews compared to a category giant, focusing all efforts on gaining social proof. However, a deeper analysis revealed the true issue was a missing A+ decision flow on their product detail page. This case study reframes the problem from a review deficit to a flawed conversion architecture, showing how a poorly structured page can stop shoppers from converting, even when ads and search drive traffic effectively.

DeepBI

AI Specialist

2026-05-21

Discover how a strong acrylic paint brand diagnosed its underperforming product listing. Despite brand recognition, it lagged in conversions, with the team initially misdiagnosing the issue as poor titles and images. This case study reveals how a deeper analysis uncovered the true structural weaknesses compared to a competitor, shifting focus from cosmetic changes to fixes with real commercial impact. Learn why simply driving more traffic isn't always the answer to a performance gap and how to identify the real constraints on your e-commerce listing.

DeepBI

AI Specialist

2026-05-19

A US air-dry clay glaze brand with good ratings and reviews wrongly attributed low conversions to poor titles and keywords. Optimizing these brought little improvement. DeepBI found the real issue was insufficient visual trust proof—no clear protection demos, complete kit displays or usage processes. The brand then restructured visuals, bullets and A+ pages, shifting to a visual conversion-focused strategy to solve the conversion bottleneck.

DeepBI

Marketing Automation Expert

2026-05-15