This does not mean you should ignore demand. It means demand should start the conversation, not end it. A smaller phrase with clear user intent and manageable competition can be more valuable than a broad category term that attracts the wrong audience or remains out of reach for months.
Use the framework below to build a keyword portfolio with different roles: important head terms, realistic mid-tail opportunities, specific long-tail phrases, and a small number of strategic terms that you are willing to monitor even when they are difficult. The goal is a list your team can understand and act on, not a scoreboard filled with impressive-looking estimates.
Rank Analyzer Pro opportunity view
Rank Analyzer Pro helps you compare estimated volume, difficulty, relevance, and observed rank so you can review the tradeoff in one workflow. Explore the app keyword tracking tool when you want to move from a keyword idea to a verified tracking decision.
Explore keyword trackingWhat keyword volume tells you
Keyword volume is an estimate of how much search interest a phrase may have in a defined market or store. It is useful for understanding the possible size of a topic, comparing related phrases, and identifying terms that deserve investigation. It is not a promise of installs, visibility, or ranking.
Volume estimates can differ by provider, platform, country, time period, and methodology. Even when two phrases have similar estimated volume, their user intent can be very different. "Photo editor" may describe a broad category, while "remove background from photo" expresses a specific job. The second phrase may have a smaller audience but a clearer match for an app that solves that job.
Apple describes keyword popularity in the context of App Store searches through Apple Ads tools. That is a useful reminder that popularity is a market signal, not a universal demand number. Use the current platform tools and your own observed data together, and label estimates clearly when you share them with a client or teammate. See Apple's keyword best practices for its guidance on relevance, popularity, and specific versus general terms.
What keyword difficulty tells you
Difficulty is a practical estimate of how hard it may be to gain or improve visibility for a term. It usually reflects signals such as the strength of competing apps, the current result set, and the amount of established competition around the query. The exact formula is tool-specific and store ranking systems do not publish a complete public difficulty score.
Treat difficulty as a planning signal rather than a fixed property of the keyword. Difficulty can differ by store and country because the competitors and listing context differ. It can also change as new apps enter the result set or existing apps improve their visibility.
A high-difficulty term can still be strategically important. You may want to track it because it describes the category, because it is a long-term positioning goal, or because the app already ranks near the visible result set. The mistake is not tracking difficult terms. The mistake is building the entire portfolio around them.
Why relevance should come before volume
Relevance is the filter that protects your keyword list from vanity metrics. A phrase is relevant when it accurately describes the app, the problem it solves, the audience it serves, or a feature users can actually use. If the phrase attracts people who expect a different product, a high estimate can create attention without useful acquisition.
- Direct relevance: the app clearly provides what the phrase describes.
- Audience relevance: the phrase reflects how the intended user describes their need.
- Feature relevance: the app has the capability implied by the query.
- Problem relevance: the app solves the specific job behind the search.
- Market relevance: the wording is natural for the selected country and language.
Apple says that app searchability includes the app name, subtitle, keywords, and company name, while Google Play's listing guidance emphasizes clear, accurate, and non-misleading store listing information. Read Apple's app information and searchability guidance and Google's store listing best practices before turning a volume estimate into listing copy.
Why current rank changes the opportunity
A keyword's difficulty means something different depending on where your app currently appears. A relevant term at #18 may be a near-term improvement opportunity. The same term with no observed position in the configured search depth may be a longer-term goal that needs better relevance, stronger conversion communication, or a more realistic supporting keyword set.
Current rank also helps you avoid a common mistake: evaluating every keyword as if the app is starting from zero. Rank history can show whether the app is moving toward the term, holding a position, or losing visibility. A medium-volume keyword where the app is already visible may deserve more attention than a much larger term with no evidence of a foothold.
Keep "not ranked" tied to the tool's search depth. It means the app was not observed inside that configured depth for that check; it does not prove that the app has no visibility anywhere. For more detail, read the guide to diagnosing app keyword ranking changes.
Why country and store context matters
Volume, difficulty, and rank are not global facts detached from the market. The same phrase can have different demand, competitors, listing language, and observed rank in the US App Store, UK App Store, India Google Play, or another store-country combination.
Keep these dimensions attached to every opportunity review:
- The app listing being measured
- App Store or Google Play
- Country or storefront
- Keyword spelling and language
- Date and search depth
- Competitors visible in that market
A strong US keyword is not automatically a strong India keyword, and a Google Play result should not be blended with an App Store result. Read why app keyword rankings differ by country for a detailed market-level diagnostic workflow.
A simple opportunity scorecard
You do not need a complicated formula to make better decisions. Rate each candidate on five questions, using a consistent scale for your own portfolio:
| Signal | Question | Strong signal | Warning sign |
|---|---|---|---|
| Relevance | Does the app clearly satisfy the search intent? | Direct product, feature, audience, or problem match | Only loosely related or aspirational |
| Volume | Is there enough estimated interest to justify attention? | Meaningful demand in the target market | Large estimate but unclear intent |
| Difficulty | Can this app compete in this market? | Manageable result set or clear improvement path | Dominated by much stronger, irrelevant-to-you apps |
| Current rank | Does the app have a foothold already? | Visible position or recent improvement | No observed position and no supporting evidence |
| Actionability | What decision would this keyword change? | Clear listing, tracking, or market action | Would only add another number to a dashboard |
The last row is important. A keyword can look attractive and still be a poor tracking choice if nobody knows what to do when it moves. The best opportunity lists connect each term to a decision: add it to a market-specific listing hypothesis, monitor it after an update, compare it with competitors, or keep it as a longer-term category goal.
Four keyword groups to keep in the portfolio
1. Strategic category terms
These are broad phrases that define the category or the main problem. They may have high volume and high difficulty. Keep a small number because they help you understand positioning and long-term visibility, but do not expect them to be the only source of growth.
2. Relevant mid-tail opportunities
Mid-tail phrases combine a category or feature with a more specific use case. They often provide a better balance between meaningful demand and manageable competition. These terms should usually form the center of a practical tracking portfolio.
3. Specific long-tail phrases
Long-tail phrases express a precise job, audience, or situation. Their estimates may be smaller, but their intent can be clearer. Include them when the wording is natural and the app genuinely serves that need. A small phrase is not automatically good; relevance still decides whether it belongs.
4. Competitor and gap terms
Competitor research can reveal language and searches you did not find from your own listing. Use competitor terms as discovery inputs, then filter for product fit and brand safety. Do not copy a competitor's brand name or assume that their ranking proves the term will work for your app.
The competitor app keyword tracker can help you compare overlap and gaps in the same store and country. Pair that research with your own relevance review before promoting a candidate into the tracked set.
Example: choosing between three app keywords
Imagine a meditation app evaluating three phrases in one target country. The numbers below are illustrative, not customer data:
| Keyword | Estimated volume | Estimated difficulty | Current rank | Decision |
|---|---|---|---|---|
| meditation | High | High | #86 | Track as a strategic category term |
| sleep meditation | Medium-high | Medium | #34 | Prioritize as a realistic improvement opportunity |
| guided meditation for sleep | Lower | Lower | Not observed | Test relevance and track if the product clearly supports it |
A volume-only strategy might select “meditation” and discard the other terms. A balanced strategy keeps the broad term for strategic visibility, gives the mid-tail phrase more attention because it combines demand with a foothold, and treats the long-tail phrase as a relevance hypothesis rather than assuming that lower difficulty makes it a winner.
How to build a better opportunity shortlist
- Start from app context.Describe the product, audience, core features, use cases, and problems solved before looking at metrics.
- Collect broad and specific candidates.Include category, feature, audience, problem, and long-tail phrases so the list is not dominated by head terms.
- Remove weak relevance.Discard phrases that the app cannot satisfy or that would make the listing promise misleading.
- Review volume and difficulty together.Use estimates to understand demand and competition, not to replace product judgment.
- Check current rank.Look for existing visibility, movement, and a realistic path to improvement in the chosen market.
- Separate stores and countries.Do not combine App Store and Google Play results or treat one country's rank as global.
- Assign an action.Decide whether to track, test in listing metadata, compare with competitors, or keep as a longer-term goal.
- Review the shortlist regularly.Markets, competitors, product positioning, and rank history change, so the list should not be permanent.
For a full discovery process, read how to find high-potential app keywords. Then use the guide to choosing a practical tracking range so your final list remains useful instead of becoming a collection of every possible phrase.
When a high-volume keyword is still worth tracking
High difficulty is not a reason to hide from an important market. Track a difficult keyword when it represents the category you want to own, when the app already has a measurable foothold, when competitors use it to describe the same user intent, or when it is part of a long-term product positioning plan.
The key is to give the term the right role. Mark it as strategic, pair it with attainable related phrases, and judge progress against its own history. Do not use a difficult head term as the only evidence that an ASO update worked or failed.
When a low-difficulty keyword is not worth tracking
A low difficulty estimate can be tempting, especially when a keyword appears to offer a quick win. Reject it when the search intent is not a match, the wording is unnatural in the target market, the app does not provide the expected feature, the estimate is too small to influence a decision, or there is no listing action connected to it.
"Low competition" is not the same as "high opportunity." The best opportunity sits at the intersection of relevance, demand, a realistic visibility path, and a decision your team can act on.
Measure the result after a listing change
If you add a phrase to a title, subtitle, description, or keyword field, record the change before publishing. Keep the same app, store, country, keyword set, and search depth in the before-and-after observations. Review related phrases and competitors too, because one keyword can move for reasons unrelated to your edit.
Rank movement is a visibility signal. Use platform analytics to understand product-page response, downloads, conversion, and downstream outcomes. Apple provides App Store Connect analytics for discovery and product-page performance, while Google Play listing experiments provide a way to compare eligible store-listing variants. Those are complementary measurements, not substitutes for market-specific rank history.
Read how to measure ASO changes after a listing update for a baseline, checkpoint, and decision framework. If movement is negative or confusing, use the ranking-drop diagnostic guide before making another broad change.
How Rank Analyzer Pro helps you prioritize keywords
Rank Analyzer Pro connects keyword discovery, estimated metrics, observed rankings, country and store context, and competitor comparison in one workflow. You can use the app to move from a broad candidate list to a focused set of terms that have a reason to be monitored.
Start with app keyword tracking, use the ASO rank tracker to preserve market-specific history, and compare platform results with the App Store keyword rank tracker and Google Play keyword rank tracker. The point is not to make every metric look precise. It is to keep the evidence behind the decision visible.
Turn keyword estimates into a focused plan
Stop choosing terms by volume alone. Start free with Rank Analyzer Pro to discover relevant opportunities, check observed rankings, and build a tracking set around real ASO decisions.
Start freeFAQ
Is high-volume or low-difficulty better for app keywords?
Neither metric is enough by itself. A useful opportunity combines product relevance, realistic competition, meaningful demand, and a rank position or improvement path that matches the app's current strength.
What is a good app keyword opportunity?
A good opportunity is a relevant term that real users may search, has manageable competition for the app and market, and supports a clear listing or tracking decision. Volume should be treated as one input, not the final answer.
Should I track keywords with high difficulty?
You can track high-difficulty terms when they represent important category demand or a strategic goal. Pair them with realistic mid-tail and long-tail terms so the portfolio contains both ambition and attainable opportunities.
Does estimated volume mean the keyword will bring installs?
No. Volume is an estimate of search interest, not a guarantee of visibility, clicks, installs, or revenue. Relevance, listing communication, rank, conversion, and product fit all matter.
Should App Store and Google Play keywords be scored together?
Use shared product context if helpful, but validate and track each store separately. Their listing fields, result sets, competitors, and market observations are different.
Conclusion
App keyword volume tells you how much possible demand may exist. Difficulty tells you how challenging the result set may be. Neither tells you whether the phrase is right for your app. Add relevance, current rank, country, store, competitors, and a clear action, then choose a portfolio that balances strategic goals with attainable opportunities.
The strongest keyword is not always the biggest or easiest. It is the one that matches the product, belongs to the market you care about, and gives your team enough evidence to decide what to do next. Track those decisions with Rank Analyzer Pro.