Work sample · Ecommerce SEO
Philips work sample: Amazon SEO and content optimization strategy for the Bodygroom category
This work sample was prepared as part of an assessment process and focused on SEO and content optimization opportunities in the Philips Bodygroom category.
This sample was created as part of a hiring or assessment process. It reflects my independent analysis and recommendations based on the information available during the exercise. Unless stated otherwise, this was not a live consulting engagement and the recommendations were not implemented by me directly.
Quick facts
Company
Philips
Company type
Consumer brand / personal care
Sample type
Interview task / assessment
Focus areas
Amazon SEO, ecommerce content optimization, keyword intent analysis, PDP improvement, title and bullet optimization
Deliverables
Presentation deck, keyword analysis, title recommendations, description recommendations, bullet point recommendations, measurement framework
Market / scope
Amazon marketplace / Bodygroom product category
Core channel
Amazon product detail pages and listing content
The assignment
The task was to assess content optimization opportunities in the Bodygroom category and identify practical SEO actions that could improve listing visibility and shopper relevance on Amazon. Rather than treating the challenge as simple copy editing, the work focused on how customer language, keyword intent, and review insights could shape stronger product titles, descriptions, bullets, and content structure.
The presentation centered on five focus areas:
My approach
I approached this sample by connecting three layers of analysis: keyword intent, shopper feedback, and listing optimization.
Keyword intent analysis
Categorized keywords by type and volume to understand how shoppers were actually searching. The methodology groups terms into branded, non-branded, problem, solution, synonym, and attribute categories, using structured analysis to generate behavior-based insights.
Consumer review analysis
Used consumer review themes to identify what mattered most in the buying journey. The review analysis highlighted repeated concerns around safety, comfort, versatility, battery life, ease of use, and maintenance — informing the optimization recommendations.
Content recommendations and measurement
Translated the analysis into practical content recommendations and a measurement framework. That included title structure guidance, description opportunities, bullet point rewrites, and KPI suggestions tied to rankings, CTR, conversions, reviews, and competitive performance.
Key findings
The analysis revealed five major areas requiring strategic attention.
Search demand was split between strong brand loyalty and high non-branded opportunity
More than 40% of searches indicated strong brand loyalty, while non-branded keywords made up roughly half of the keyword universe. Solution-oriented searches made up the largest share within non-branded demand, followed by problem-driven and attribute-based searches.
Shopper intent was highly practical and benefit-driven
Safety, comfort, precision, battery life, portability, and versatility were recurring themes. Concerns around hygiene, sensitive areas, travel use, and all-in-one grooming solutions surfaced consistently — meaning content should explain how the product solves real problems.
Existing listing copy had room for stronger keyword and intent alignment
Opportunities identified to improve title structure, reduce repetition, add relevant keyword coverage, remove subjective phrasing that may conflict with Amazon policy, and create better consistency across titles, descriptions, and bullets.
Amazon PDP content needed a more intentional SEO structure
Recommendations go beyond copy tweaks to include stronger use of A+ content, better image support, video, ALT optimization, packaging clarity, product inclusions, FAQs, and clearer product information.
SEO performance should be measured through both ranking and commercial signals
Success tied to practical metrics: keyword ranking, organic traffic, CTR, conversion rate, competitive ranking, reviews, page performance, and customer feedback — showing recommendations as a measurable program.
Recommendations
Based on the analysis, I proposed a roadmap focused on improving relevance, discoverability, and listing performance across Amazon PDP content.
Quick wins
Title and bullet optimization: tightening title length, improving title structure, reducing repetition, incorporating relevant keywords more naturally, and rewriting bullets in a more benefit-driven format using shopper language and making better use of available character space.
Mid-term priorities
Description quality and richer product content: reducing standard description length where needed, using A+ content more effectively, ensuring better image quality, including video, aligning descriptions more closely with shopper intent, and presenting product use cases more clearly.
Strategic initiatives
Deeper audience research, seasonal keyword tracking, competitor analysis, pricing and promotion benchmarking, technical listing considerations, compliance awareness, and ongoing SEO measurement — approaching Amazon SEO as a structured program rather than isolated copy updates.
Presentation preview
This work sample includes a full presentation focused on consumer insights, keyword methodology, title optimization, bullet opportunities, description frameworks, additional strategic inputs, and SEO measurement in the Bodygroom category.
Highlighted slide areas
Consumer insights and keyword methodology
How keyword categories were segmented by intent and volume, including branded, non-branded, problem, solution, and attribute groups.
Title optimization framework
How an existing Amazon title could be improved by reducing repetition, strengthening structure, and mapping keywords more intentionally.
Description and bullet rewrite opportunities
How Amazon PDP descriptions and bullet points could be improved through intent alignment, keyword integration, and benefit-led copy.
SEO measurement and next steps
Performance measurement through rankings, CTR, conversions, competitor comparison, and customer feedback with clear next steps.
Full Amazon SEO presentation covering consumer insights, keyword strategy, listing optimization, and measurement
What this sample shows
This Philips work sample demonstrates how I approach ecommerce SEO in a structured and practical way. It shows the ability to translate keyword data into shopper insight, use review analysis to understand product expectations, and turn that combined intelligence into stronger Amazon listing content.
Amazon SEO and marketplace content thinking
Keyword intent analysis tied to commercial relevance
Product detail page optimization
Benefit-led content strategy
Practical template creation for scale
Clear stakeholder communication through presentation format
For recruiters & hiring managers
Why this work sample matters
This page is valuable because it shows how I think before implementation begins. Instead of presenting a raw deck with no context, it demonstrates how I evaluate product content, prioritize optimization opportunities, and connect keyword research with buyer intent.
For ecommerce brands, marketplaces, and hiring teams, that gives a much clearer signal of my process, judgment, and communication style than a standalone PDF would. It is also one of the clearest examples of how SEO can support product listing performance through a combination of intent research, content structure, and measurement planning.
Related services
This work sample connects most directly to these service areas:
Work sample FAQs
Need this level of ecommerce SEO thinking for your product pages?
Whether you need Amazon SEO support, stronger product page content, clearer keyword targeting, or a more structured ecommerce SEO strategy, I'd be happy to talk.