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Google Ads Keyword Research with Keyword Planner

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Can Davarcı

Founder & Growth Lead

PUBLISHED

August 28, 2026

READING TIME

8 min read

30-Second Summary

What you'll learn from this article

  • The most searched keyword is usually the least converting one
  • Volume ranges are tiers, not measurements
  • Any volume read without setting geography will mislead you
  • The long tail is the most efficient area for a small budget
  • Learning intent keywords are not deleted, they go to content
Article summary: The most searched keyword is usually the least converting one. Volume ranges are tiers, not measurements. Any volume read without setting geography will mislead you. The long tail is the most efficient area for a small budget. Learning intent keywords are not deleted, they go to content

Keyword research is often treated as finding the most searched term. In a Google Ads account the most searched term is usually the most expensive and the least converting one. The work is not about finding volume, it is about sorting intent.

This guide walks through building a list with Google Keyword Planner and how to read the volume data. The method is the order we follow on setup day in the accounts we run.

Intent first, volume second

Searches split roughly into three intents. Learning intent looks for information: "what is web design". Comparison intent weighs options: "wordpress or custom build". Buying intent is ready to act: "corporate web design pricing".

Ad budget goes primarily to the third group. The first belongs to content marketing; advertising there is usually expensive information distribution. That is the first split when building a list, and it happens before you look at volume.

A practical test: is there a person at the end of that search ready to spend money? Modifiers like price, agency, company, service, quote and near me signal that readiness. What is, how to, example, free and DIY signal the opposite.

What Keyword Planner does and does not give you

Keyword Planner is Google's free tool built on its own search data. It gives keyword suggestions, a monthly average search range, a competition level and an estimated bid range.

What it does not give is an exact number. In accounts without spend, volume appears in wide bands; a range like "100 - 1,000" is a tier, not a measurement. Likewise the competition column shows advertising competition, not organic difficulty.

So Keyword Planner should be used as a discovery tool, not a ranking tool. You learn which keywords exist; which ones bring customers is answered only by your own search terms report after launch.

Five steps to build the list

Step one is writing seed keywords. Describe your services in the customer's language, not your internal naming. "Corporate identity work" may be your phrase; the customer searches "logo design".

Step two is running the tool and collecting suggestions. Do not filter at this stage; take the raw list as it is. Early filtering is the easiest way to impose your assumption on the data and miss real demand.

Step three is sorting by intent. Split the raw list into three buckets: buying, comparison, learning. The ad list comes from the first bucket and part of the second. The third is your blog topic list; do not delete it, hand it to content.

Step four is grouping by theme. Keywords looking for the same promise belong in the same ad group. This grouping directly determines the ad group layer of your account structure.

Step five is choosing the match type. Phrase is the default in a new build; proven keywords move to exact over time.

Three traps when reading volume

The first trap is treating the average as real. Monthly average search hides seasonality. A keyword about air conditioning looks moderate on a yearly average, but the demand is concentrated in four months. Look at the monthly breakdown.

The second trap is not setting geography. Volume shown for a whole country is meaningless for a business serving one city. Any number read without setting your service area will mislead you.

The third trap is treating the estimated bid as a budget. The bid range shown is an estimate and the auction moves constantly. Plan the budget from the first month's real data, not from that number.

The long tail: small volume, high intent

Longer searches of three or four words are individually small but large in total, and their intent is clear. Someone searching "web design" may be looking for anything; someone searching "adana corporate web design pricing" knows what they want.

In small budget accounts this is usually the right move: instead of an expensive race on a generic term, collect cheap and intentful traffic in the long tail. Competition is lower, cost per click is lower and conversion rate is higher.

The best source of long tail keywords is not the tool but your own search terms report after launch. The tool tells you what could exist; the report tells you what did.

The list is not the end of the work

The list you build on setup day is a starting hypothesis. The real list emerges from the first four weeks of the search terms report. There you see keywords you never considered, and discover that some of the ones you did are never searched.

Keyword research is therefore not a one-off task but a loop: research, launch, read the report, update the list. The negative list is fed from the same report; they are two sides of one loop.

Conclusion

A good keyword list collects the intents that bring customers, not the terms with the highest volume. Sort by intent first, group by theme second, choose the match type last. Keyword Planner tells you what exists; the first month's report tells you what works.

If you would like us to review your keyword list, you can reach us from our Google Ads management page. The full picture is in our Google Ads guide.

Frequently Asked Questions

Yes, anyone with a Google Ads account can use it. In accounts without spend, however, search volumes appear in wide ranges; exact numbers require active spend.

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AUTHOR

Can Davarcı

Founder & Growth Lead

Digital growth strategist. Led digital transformation for 278+ brands with 10+ years of experience. Expert in data-driven marketing and AI integration.

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