Ecommerce Keyword Research: How to Find Keywords That Drive Sales

Why Ecommerce Keyword Research Is Different

Ecommerce keyword research follows different rules than blog or informational SEO. You’re not just driving traffic — you’re driving purchases. A keyword that brings 10,000 visitors who don’t buy is worth less than one that brings 500 visitors who convert at 5%.

The key difference is intent mapping. Ecommerce sites need keywords for every stage of the buying journey: awareness (informational blog content), consideration (category pages, comparison content), and purchase (product pages targeting buyer-intent terms).

Understanding Ecommerce Search Intent

Ecommerce keywords fall into distinct intent categories, and each maps to a different page type on your site:

Informational Keywords → Blog Content

Searchers are researching, not buying yet. These keywords build awareness and bring people into your funnel.

• “How to choose a laptop for college”
• “What thread count is best for sheets”
• “Benefits of organic cotton clothing”

Commercial Investigation Keywords → Category or Buying Guide Pages

Searchers are comparing options and evaluating products. They’re close to buying but haven’t decided what.

• “Best wireless headphones under $100”
• “Nike vs Adidas running shoes”
• “Top rated espresso machines 2025”

Transactional Keywords → Product Pages

Searchers are ready to buy. They know what they want and are looking for where to get it.

• “Buy Sony WH-1000XM5”
• “Nike Air Max 90 size 11 black”
• “Organic cotton bed sheets queen free shipping”

Navigational Keywords → Brand and Category Pages

Searchers are looking for a specific brand or store. Important to own your brand terms.

• “[Your brand] sale”
• “[Your brand] returns”
• “[Competitor] alternative”

Step 1: Map Your Product Catalog to Keywords

Start by creating a keyword map that aligns with your site structure:

1. List all product categories — Each category page needs a primary keyword
2. List subcategories — These target more specific variations
3. Identify product-level keywords — Product names, model numbers, and descriptive long-tail terms
4. Map informational needs — What questions do buyers ask before purchasing products in each category?

For example, an electronics store might map:

• Category: “wireless headphones” (primary keyword for category page)
• Subcategory: “noise cancelling headphones,” “wireless earbuds,” “gaming headsets”
• Products: “Sony WH-1000XM5,” “AirPods Pro,” “Bose QuietComfort”
• Blog: “how to choose headphones,” “wireless vs wired headphones”

Step 2: Research Category Page Keywords

Category pages are the workhorses of ecommerce SEO. They target mid-funnel keywords with strong commercial intent and significant search volume.

For each category, research:

• Primary keyword — The most common way people search for this product type (“men’s running shoes,” “wireless headphones,” “standing desks”)
• Modifier keywords — Price (“cheap,” “affordable,” “premium”), feature (“waterproof,” “wireless,” “ergonomic”), and use-case (“for gaming,” “for work,” “for travel”) modifiers
• Seasonal variations — “Winter boots” vs “women’s boots” have different seasonal patterns

Tools to use: Start with Amazon autocomplete for product-specific ideas, then validate volume in Ahrefs or SEMrush. Amazon suggestions reflect actual purchase intent better than Google’s suggestions.

Step 3: Find Product Page Keywords

Individual product pages should target specific, high-intent keywords:

• Product name + brand — “Nike Air Max 90 men’s”
• Product name + specification — “iPhone 15 Pro 256GB titanium”
• Product name + modifiers — “[product] review,” “[product] price,” “[product] vs [competitor]”

For products with low brand recognition, focus on descriptive keywords instead: “handmade leather wallet bifold” rather than “[brand name] wallet.”

Step 4: Discover Long-Tail Buyer Keywords

Long-tail ecommerce keywords are where the conversion gold is. These specific searches indicate someone who knows exactly what they want:

• Size/color/material combinations — “blue cashmere sweater women’s medium”
• Problem-solution keywords — “shoes for plantar fasciitis wide feet”
• Comparison keywords — “[product A] vs [product B] for [use case]”
• Feature-specific keywords — “laptop with 32GB RAM under $1000”

Sources for long-tail ecommerce keywords:

• Amazon search suggestions — Type your product category and note every autocomplete suggestion
• Customer reviews — The language customers use in reviews contains natural keyword phrases
• Your site search data — What visitors search for on your site reveals unmet keyword demands
• Google Shopping suggestions — Often different from regular Google suggestions, with more commercial intent
• Competitor product titles — How competitors name and describe similar products

Step 5: Research Informational Content Keywords

Blog and buying guide content attracts top-of-funnel visitors and builds topical authority for your category pages. Find informational keywords by:

• People Also Ask — Search your category keywords and collect every question Google suggests
• “How to” variations — “How to choose [product type],” “how to use [product],” “how to clean [product]”
• “Best for” queries — “Best [product] for [audience/use case]”
• Buying guide keywords — “[Product type] buying guide,” “what to look for in [product]”

These informational pages should internal link to relevant category and product pages, creating a content funnel that guides readers toward purchase.

Step 6: Analyze Competitor Keywords

Your direct ecommerce competitors have already validated which keywords drive sales. Analyze them:

• Top organic pages — Which competitor pages get the most organic traffic? These reveal their strongest keyword targets.
• Category page keywords — How do competitors name and optimize their category pages?
• Content strategy — What informational content supports their product pages?
• Keyword gaps — Products or categories they haven’t optimized for that you can target first.

Look at both direct competitors (similar stores) and marketplace competitors (Amazon product listings that rank for your keywords). Understanding what makes Amazon listings rank can inform your own product page optimization.

Step 7: Prioritize Keywords by Revenue Potential

For ecommerce, the prioritization formula weights commercial value heavily:

• Conversion likelihood (weight: 3x) — How likely is a searcher to buy? Transactional > commercial > informational.
• Average order value — Keywords leading to high-value purchases deserve more investment.
• Search volume — Enough demand to justify the optimization effort.
• Ranking difficulty — Can you realistically compete for this keyword?
• Margin — Driving traffic to high-margin products maximizes ROI from SEO efforts.

A keyword with 200 monthly searches leading to a $500 average order value is far more valuable than a keyword with 10,000 searches leading to a $5 product page.

Ecommerce Keyword Research Tools

• Amazon Keyword Tool (free) — Amazon autocomplete suggestions for product-focused keyword ideas
• Ahrefs — Full keyword research suite with ecommerce-relevant filters like CPC data and click metrics
• SEMrush — Competitor analysis and keyword gap features specifically useful for ecommerce stores
• Google Merchant Center — If you run Shopping ads, the search terms report shows exactly what product queries trigger your listings
• Jungle Scout — Originally for Amazon sellers, but its keyword data reflects purchase-intent searches
• Google Search Console — Your actual search performance data, including queries driving traffic to product and category pages

Common Ecommerce Keyword Research Mistakes

• Targeting only product names — If no one knows your brand, product name keywords have zero volume. Target generic descriptive terms instead.
• Ignoring category page optimization — Category pages often have the highest ROI for SEO because they can rank for broad, high-volume commercial terms.
• Not optimizing for Amazon keywords — If you sell on Amazon, its keyword research is a separate discipline with different tools and algorithms.
• Forgetting seasonal shifts — Product demand fluctuates dramatically by season. Plan content and optimization around seasonal peaks, not just current volume.
• Skipping informational content — Product-only sites struggle to build topical authority. Supporting blog content strengthens your entire site’s ranking ability.

Key Takeaways

Ecommerce keyword research is fundamentally about matching search intent to the right page type: informational queries to blog content, commercial queries to category pages, and transactional queries to product pages. Prioritize keywords by revenue potential rather than raw volume, and build a site structure where content at every funnel stage links toward your highest-value pages.