Case Studies
Case Study #1 : Uncovering Emerging Trends in Kids’ Supplements Using AskMayAI
Here’s a professional case study draft for using your AI tool AskMayAI to analyze kids’ supplement trends for one of our customers in the health ingredients.
Client Objective
A global health and wellness brand wanted to expand its product line in the children’s supplement market, but lacked clarity on:
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What ingredients and claims are trending
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Which consumer pain points are most resonant
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How preferences vary across regions (e.g., US vs. EU vs. Asia)
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What their competitors are promoting on platforms like Amazon, TikTok, and Instagram
The company turned to AskMayAI to generate actionable insights, optimize product development, and localize messaging effectively.
About AskMayAI
AskMayAI is an AI-powered market intelligence engine that:
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Aggregates and analyzes trends across scientific literature, ecommerce platforms, social media, and search behavior.
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Uses multi-agent AI collaboration to cross-analyze ingredients, customer reviews, and regional preferences.
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Provides localized recommendations for branding, product formulation, and content based on real-time data.
Methodology
1. Market Signal Aggregation (Trend Identification)
AskMayAI analyzed:
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Amazon US / UK / DE keyword data, top-ranked listings, and review sentiment
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Google Trends and TikTok hashtag analytics
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Recent scientific papers and regulatory updates related to pediatric nutrition
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Content from parenting influencers, pediatricians, and wellness bloggers
2. Prompt Chaining & AI Collaboration
The system used an internal agent-to-agent framework:
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Agent 1 (Market Listener): Identified trending search terms and customer pain points (e.g., “gummy vitamins,” “melatonin side effects,” “iron deficiency”)
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Agent 2 (Science Filter): Mapped consumer terms to validated ingredients and research
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Agent 3 (Localization Engine): Adapted insights to region-specific formulations and regulations
Outcomes
Using AskMayAI’s insights, the client:
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Developed 3 new SKUs tailored to trending health concerns (focus, immunity, sleep)
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Shifted away from melatonin in favor of scientifically-supported calming alternatives
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Localized product pages with region-specific language and claims
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Launched a campaign with trusted momfluencers and pediatricians identified by the platform
Result: Within 8 months, two of the new products reached Amazon and Lazzada PH Top 20 in their category, with a 27% increase in conversion rate due to more aligned messaging.
Conclusion
AskMayAI allowed the brand to go beyond basic keyword tools, using multi-dimensional AI insight to navigate the kids’ supplement landscape with confidence. It bridged scientific credibility, ecommerce strategy, and cultural nuance—all in one adaptive platform.
Case Study 2: Decoding the “Proactive Aging” Trend Among Gen Z Using AskMayAI
Client Profile
A mid-sized global skincare and wellness company—specializing in clean-label, functional beauty products—approached AskMayAI with a specific goal:
"We want to understand what young consumers in their early 20s are doing today to prevent aging, and how we can position a new product line that speaks directly to this mindset—before our competitors do."
They needed a system that could go beyond keyword tools and gut instinct to deliver culturally relevant, data-backed insights, fast.
Objective
The brand wanted to tap into the growing “Proactive Aging” movement among Gen Z—a generation that is adopting anti-aging routines in their late teens and early 20s, inspired by TikTok influencers, dermatologists, and holistic wellness trends.
Their key questions:
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Which ingredients, formats, and claims appeal to Gen Z?
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What language and tone should we use in different regions?
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How can we make this trend scientific, inclusive, and trustworthy?
How AskMayAI Helped
AskMayAI, our AI-driven localization and trend analysis engine, was deployed to uncover:
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Emerging search behaviors and influencer narratives
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Ingredient popularity and scientific validation
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Differences in regional cultural perspectives
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Social and content trends shaping product demand
Results
The brand implemented AskMayAI’s insights to:
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Launch a collagen + adaptogen product line targeting Gen Z
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Rebrand its message from “anti-aging” to “future skin strength”
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Partner with 5 mid-tier influencers recommended by AskMayAI
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Localize product pages using region-specific tone and messaging
Within 3 months:
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2x increase in Gen Z engagement
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38% lift in product page conversion
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Influencer content reached 4M+ views with high engagement
Conclusion
This case demonstrates how AskMayAI helped a forward-thinking skincare brand break into the minds—and routines—of a new generation.
By leveraging AI-powered cultural insight, scientific filtering, and content adaptation, AskMayAI enabled a faster, smarter go-to-market strategy for a trend that’s just beginning.
Case Study #3: Dominating Amazon Search for a Coffee Printer in Under 12 Months
Brand: Ripples Original Beverage Top (Multi-Color Personalized Coffee Printer)
Platform: Amazon US
Powered by: AskMayAI | "Think Global. Speak Local."
Objective
To rapidly increase visibility and conversion for Ripples’ flagship coffee printer on Amazon, targeting the keyword “coffee printer machine”, and positioning the product as the undisputed category leader—despite strong competition and a niche market.
The AskMayAI Method
Our approach utilized two specialized AI systems working in tandem:
1. MASTER AI – Market Insight & Prompt Architect
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Aggregated live data from:
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Amazon search trends (ASINs, keywords, review clusters)
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Competitor landscape
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Consumer behavior by market
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Trained on:
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E-commerce dynamics in the coffee tech niche
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Language patterns across B2B (cafés, events) and B2C (gifting, home use)
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Output:
A custom prompt pack designed to guide downstream AI to generate hyper-relevant assets and localization-ready messaging.
2. EXECUTOR AI – Content Generation & Testing Engine
Using the prompt architecture from the MASTER AI, this engine generated and tested:
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Optimized titles, bullets, and A+ content
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Visual prompts for product imagery, carousel ads, and video
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Sponsored product ad copy & targeting suggestions
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Localization-ready versions for global markets
Live A/B testing + feedback loop: Integrated weekly with real-time CTR and CVR data from Amazon Ads + Brand Analytics.
Execution Highlights
✅ Keyword Domination
Within 4 months, the listing became the top organic and sponsored result for:
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“coffee printer machine”
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“latte art printer”
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“personalized coffee printer”
✅ Visual Disruption
Created AI-enhanced imagery showing:
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Cafés using the printer in real settings
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Event marketing use cases (weddings, conferences)
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User-generated art on coffee
Result: +73% increase in click-through rate on mobile
✅ A+ Content Overhaul
Dynamic modules with:
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AI-curated FAQs from review analysis
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Visual comparison vs competitors
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Use-case videos embedded with QR code CTA
Result: +61% increase in conversion rate
Takeaways
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AI-driven insight + execution is a scalable blueprint for niche product domination
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Master/executor AI collaboration allows context-aware, high-volume output
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Visual-first and use-case storytelling were key to shifting both consumer behavior and search relevance
Case Study 4: AskMayAI – Turning Declining Quarters into Record-Breaking Growth
Background
An Amazon seller experienced two challenging quarters:
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Q4 2024: Sales dropped 45.4% YoY to $151,055.52, net profit down 57.4% to $28,726.67.
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Q1 2025: Continued decline with sales at $140,295.38 (-7.1%) and net profit at $25,423.93 (-11.5%). Advertising investment was minimal, but so were returns.
The challenge: reverse the trend, increase sales volume, and recover profitability — while competing in a saturated marketplace.
How AskMayAI Was Used
AskMayAI was deployed as a Master + Task AI solution:
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Market Trend Analysis
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Master AI analyzed competitor performance, seasonality, keyword demand trends, and conversion funnels.
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Identified high-growth keywords and underserved niches in the category.
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PPC Optimization
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Task AI restructured Sponsored Products, Sponsored Brands, and Display campaigns.
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Allocated budget dynamically based on real-time CPC and ROAS data.
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Introduced high-intent keyword bidding with aggressive but controlled bids during peak conversion hours.
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Listing & CRO Enhancements
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AI-driven A/B testing on titles, bullet points, and main images.
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Automated keyword insertion for higher search relevance.
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Optimized backend keywords and product attributes.
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Budget Reallocation
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Increased ad spend where ROI was >3× while reducing waste on low-performing terms.
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Shifted from $12K–$13K/quarter ad spend to a fully scaled $83,634.83 strategic investment in Q2.
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Results After 90 Days (Q2 2025)
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Sales: $383,817.69 (+173.6% vs Q1)
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Orders/Units: 7,954 / 8,898 (more than doubled)
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Refund Rate: Stable despite higher volume (3.8%)
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Net Profit: $53,050.78 (+108.7% vs Q1)
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Ad ROI: Higher absolute ad spend, but significantly improved ACOS due to precision targeting.
Key Takeaways
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Scaling works when data drives spend — AskMayAI allowed safe scaling of ad spend by 7× without sacrificing profitability.
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Keyword precision beats generic targeting — top 10 keywords accounted for over 60% of sales growth.
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Rapid iteration on creatives and bids kept campaigns ahead of competitors in real time.
💡 This case shows how AskMayAI doesn’t just optimize — it transforms declining performance into explosive growth through data-driven PPC scaling and listing optimization.
