How to Do Keyword Research Specifically for Shopify Stores
A store owner showed me her keyword research with visible pride. Hundreds of terms organized in a spreadsheet, sorted neatly by monthly search volume. She had spent roughly two weeks compiling it, working through keyword tools and competitor analysis.
I asked her a single question. Which of these terms would someone type when they were ready to buy?
She paused and looked at the list again. Most of the terms near the top were things people search when they are curious about a category. Broad, high volume phrases that attract people at the very beginning of thinking about a purchase, if they are thinking about a purchase at all.
She had done keyword research the way a publisher does it. Find the terms with the largest audiences, then create content to capture that audience. For a media business selling advertising against pageviews, that approach is correct.
But a store is not a publisher. The goal is not traffic. The goal is revenue. And once you accept that difference, almost everything about how you approach keyword research changes.
This distinction sounds obvious when stated directly. In practice, most store owners run keyword research using methods and tools designed for content sites, then wonder why the traffic they attract does not convert.
Intent Matters More Than Volume
The single biggest shift is prioritizing purchase intent over search volume. These two factors frequently point in opposite directions.
Consider two searches for the same general product category. Someone searching best running shoes is researching. They may be months from purchasing. They may be reading out of idle interest. They are gathering information, comparing broadly, and forming opinions.
Someone searching wide toe box trail running shoes size eleven is doing something entirely different. They know what they want. They have specific requirements. They are looking for a place to buy rather than information to consider.
The second term has a fraction of the search volume of the first. It also has a multiple of the value. A visitor arriving on that search is close to a transaction. A visitor arriving on the broad term usually is not.
This is why volume sorted keyword lists mislead store owners so consistently. The terms that rise to the top are almost always the research phase terms, because research phase searches are far more numerous than purchase phase searches. Sorting by volume systematically surfaces your least valuable opportunities first.
This connects to a broader problem I see in how stores approach traffic. More visitors is not the objective. More visitors who buy is the objective, and those are different targets requiring different tactics.
Reading Intent In A Search Query
Since intent matters more than volume, you need a practical way to assess it. Fortunately, intent leaves visible signals in how people phrase searches.
Specificity signals intent. The more precisely someone describes what they want, the closer they are to buying. Vague queries suggest exploration. Detailed queries with modifiers, sizes, colors, materials, or use cases suggest a decision being made.
Product language signals intent. Searches containing words like buy, price, or shipping are obviously transactional. But so are searches that name specific product types rather than general categories.
Comparison language sits in the middle. Someone comparing two specific options is considering purchase but has not decided. These terms are valuable but require content that helps them decide rather than pages that assume they have.
Question language usually signals earlier stages. How does something work, what is the difference between things, why does something happen. These searches want information. They can be valuable to target, but with content rather than product pages, and with the understanding that conversion comes later.
Learning to read these signals lets you evaluate a keyword in seconds without needing tools to tell you anything beyond volume and competition.
Map Keywords To Page Types
The second major difference for stores is that keyword research should not produce one list. It should produce assignments to specific page types.
Most stores dump every term they find into a single spreadsheet and never assign anything anywhere. The research gets done, saved, and then largely ignored because it is not actionable in that form.
Product pages need specific product terms and modifier terms. The exact product name, plus the variations customers use, plus the specifics like size, color, material, or use case. These pages should target the searches made by people who know roughly what they want.
Collection pages need category terms. Broader than product terms but still commercial. These capture people who know the category they need but have not selected a specific item yet. Collection pages are frequently underused as an SEO asset despite sitting naturally at a valuable intent level.
Blog content targets the earlier questions. The research phase searches, the how to queries, the comparison questions. These do not convert directly, but they build topical relevance and create paths toward your commercial pages.
The assignment step is what makes research useful. A term without a designated page is a term nobody will ever act on. Before the research is finished, every term you intend to pursue should have a page attached to it, either existing or planned.
Use Your Customers’ Vocabulary
A subtle problem that costs stores significant traffic is optimizing for language that customers do not actually use.
Brands develop internal vocabulary. Industry terminology accumulates. Product teams name things according to internal logic. Suppliers use technical descriptions that get copied into listings. Over time, the language on your site drifts toward how you talk about products rather than how customers do.
Customers use their own words. They describe products by the problem they solve, by how the product feels, or by comparison to things they already know. Frequently, they use terms that would seem imprecise or incorrect to someone inside the business.
If these two vocabularies differ, you are optimizing for language nobody types into a search box. Your pages target terms with real volume in your industry and essentially none among actual buyers.
The best sources for customer vocabulary are already available to you. Reviews contain the exact words customers use to describe what they bought and why. Support emails show how people describe problems and requirements. These same sources are valuable for understanding customers generally, and keyword research is one specific application.
Read through them and note recurring phrases. Those phrases are your keywords, regardless of what a tool suggests.
Target What You Can Realistically Win
The final consideration is competitive reality. Not every valuable term is a term you can rank for.
Head terms in most e-commerce categories are dominated by major retailers, marketplaces, and established brands with substantial domain authority and years of accumulated links. Competing directly on those terms is not a strategy. It is a way to spend effort producing nothing.
This is not defeatism. It is resource allocation. A smaller store has finite SEO capacity. Spending it on terms where you will not place is a guaranteed loss, while spending it on winnable terms produces actual traffic.
Specific, lower competition terms with genuine purchase intent are where smaller stores win. These terms individually have modest volume, which is precisely why large competitors ignore them. Collectively, a portfolio of such terms produces meaningful qualified traffic.
The evaluation is straightforward. Look at who currently ranks for a term. If the results are dominated by sites with far more authority than yours, the term is likely out of reach for now. If the results include sites comparable to yours, you have a genuine opportunity.
This mirrors the concentration principle that applies throughout e-commerce. Focused effort on winnable opportunities beats spread effort across impossible ones.
What Changed For Her
We rebuilt the store owner’s research around intent rather than volume, and the resulting list looked worse by conventional measures.
Fewer terms overall. Substantially lower total search volume. On paper, a downgrade from the hundreds of high volume terms she had originally compiled.
Every remaining term was assigned to a specific page. Product terms went to product pages. Category terms went to collections. The research questions became a content plan rather than sitting unused.
The vocabulary shifted toward what her reviews showed customers actually saying, which in several cases differed noticeably from how her product pages had been written.
Revenue went up despite lower traffic potential, because the traffic that arrived was ready to buy. She was capturing fewer visitors and converting a much higher share of them.
Improving what happens with existing qualified traffic usually outperforms chasing more traffic, and intent focused keyword research is essentially an application of that principle to acquisition.
How KolachiTech Approaches Store Keyword Research
At KolachiTech, we start keyword work by sorting terms by purchase intent rather than by volume. This ordering reflects what actually produces revenue for stores.
We assess intent for every term before considering volume. A high volume research term and a low volume purchase term are not comparable opportunities, and treating them as comparable is how volume sorted lists mislead people.
We assign every term to a specific page before anything gets written. Product terms to product pages. Category terms to collections. Question terms to planned content. Research that never gets mapped to a page is just a spreadsheet.
We build vocabulary from customer sources. Reviews, support conversations, and the language clients hear from their own customers. Tools suggest terms, but customer language determines which ones are real.
We assess competitive reality honestly. Sometimes this means telling a client that the term they want to rank for is not achievable with their current authority, and directing effort toward terms they can actually win.
We measure the outcome by revenue rather than traffic. Traffic growth without revenue growth means the keyword strategy is attracting the wrong visitors, which is a failure regardless of how the traffic chart looks.
The Reframe Worth Keeping
Keyword research for stores has been distorted by tools and methods built for a different purpose. Those tools optimize for volume because volume is what content sites need. Store owners inherit that framing without questioning whether it fits.
It does not. A store does not need to be read. It needs to be bought from. Every methodological choice should follow from that difference.
Prioritize intent. Map terms to pages. Use customer language. Target what you can win. None of these are complicated, but together they produce fundamentally different research than the volume sorted list most stores end up with.
Stop optimizing for traffic and start optimizing for the search someone makes immediately before they buy. #ShopifySEO should target purchase intent rather than raw search volume. #KeywordResearch for stores means mapping terms to specific pages, not building unassigned lists. #EcommerceSEO wins on specific, achievable terms rather than competitive head terms.
The best keyword is not the one with the most searches. It is the one with the most buyers.
Frequently Asked Questions
Q1. Why is store keyword research different from blog keyword research? Blogs need readers, stores need buyers. Blog research optimizes for volume because volume is the product. Store research should optimize for purchase intent, since traffic that does not convert produces no revenue.
Q2. How do I tell if a keyword has purchase intent? Look at specificity and language. Detailed queries with modifiers like size, material, or use case signal readiness to buy. Broad category terms and question phrasing signal earlier research stages.
Q3. Should I ignore high volume keywords entirely? Not entirely, but treat them as content opportunities rather than product page targets. They build topical relevance and reach people early, but expect conversion to happen later through other pages.
Q4. How do I assign keywords to page types? Specific product and modifier terms go to product pages. Broader category terms go to collection pages. Questions and research queries go to blog content. Every term you pursue should have a page attached.
Q5. How do I find the words my customers actually use? Read your reviews and support emails. Customers describe products in their own language there, which often differs from internal or industry vocabulary. Those phrases are your real keywords.
Q6. Should I try to rank for competitive head terms? Usually not, if major retailers dominate those results. Finite SEO capacity is better spent on specific, lower competition terms you can realistically win. Check who currently ranks before committing effort.
Q7. Are collection pages worth optimizing? Yes, and they are frequently underused. Collection pages naturally match category level searches, which sit at a useful intent level between broad research and specific product queries.
Q8. How do I know if my keyword strategy is working? Measure revenue, not traffic. Traffic growth without revenue growth means you are attracting the wrong visitors, which indicates the strategy is targeting volume rather than intent.