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- New: Generate keywords using our keyword list generator.
- Clean up your keyword lists using our keyword list cleaner.
Column by Column Feature Description
- Export to CSV – clicking this button allows users to export the keyword list & metrics to an Excel spreadsheet, along with lists of the same keywords using the various PPC ad matching type formats
- Keyword – the word that was searched for, or other related terms returned by the tool. Clicking on a word in this column will perform a new keyword search using that term as the seed keyword.
- Monthly Searches – estimated number of monthly web searches for the term in the United States across Google, Bing & Yahoo!
- Daily Searches – monthly searches divided by 30
- Google – the daily search count estimate for Google searches on that term across the United States. It also contains links to Google’s US & UK search results for that particular keyword term.
- Bing + Yahoo! – estimated daily US searches for a term across Bing & Yahoo!. This column also contains links to the Bing & Yahoo! search results for the associated keyword.
- CPC – estimated keyword bid price for the associated keyword if you were to bid to buy traffic on this term on Google. Please note ad auction prices vary widely over time due to seasonality & there are also other issues which impact click pricing.
- For example, on navigational searches like [Amazon] the associated official website would generally get those clicks quite cheaply, but if a third party tried to bid on that term they would pay a relatively higher cost per click due to their lower relevance to the term.
- In some cases Google makes the cost of bidding on competing brand keywords prohibitively expensive, which in turn skews our CPC estimate high. It is also worth mentioning that on navigational search queries most people will visit the desired/intended site, so ranking #2 or #3 will drive limited search traffic.
- Monthly Value – this column simply multiplies the CPC by the monthly search volume to generate a relative traffic value.
- This is a rather crude metric because it presumes one can monetize all the traffic they receive AND one can generate as much profit per visitor as Google does. Anyone who could do both of those would likely displace Google as the first consumer destination in their market (like how many people in the United States start ecommerce searches on Amazon.com rather than Google.com).
- In most cases an estimated traffic value like this would need to be divided by 5 or 10 to figure the actual profit potential to a publisher operating in that market.
- Please note the advice mentioned in the above CPC section when considering navigational search terms.
- Also note these metrics are for the United States market. Most foreign markets have far less efficient ad markets & thus lower ad prices.
- UK Monthly Searches – estimated number of monthly searches in the UK.
- UK Daily Searches – monthly search estimate divided by 30.
- UK CPC – similar to the above CPC metric, but relevant to the UK market rather than the US market.
- UK Monthly Value – Similar to monthly value above, but for the UK market.
- The following columns are sortable: Keyword, Monthly Searches, Daily Searches, CPC, Monthly Value, UK Monthly Searches, UK Daily Searches, UK CPC, UK Monthly Value
How Does The SEO Book Keyword Tool Work?
This keyword tool was built on a custom database we have compiled over the past four years. We researched data from the (now defunct) Google Search-Based Keyword Tool and also looked at a few more recent data snapshots to refresh the database and enhance our keyword coverage. Our database contains 28,527,279 keywords representing 13,762,942,253 monthly searches. Our database is primarily composed of English language keywords.
This database was built using data from BEFORE Google required active ad accounts to get good keyword data & before they started blending data together for similar terms. Even if you set up an AdWords account and spend significant sums of money with them, they may require you to run your ad campaign for 3 or 4 months straight before they will show reasonably precise data instead of exceptionally broad data ranges.
Background Keyword Research Video:
Our Free Keyword Research Tool:
- Offers a CSV export option which allows you to export the data in the interface, along with automatically formatting the keyword lists across the various PPC ad matching types: exact, phrase, modified broad, broad and negative keyword match.
- Offers rough suggested daily search volumes by market for Google and the Bing Yahoo! search network.
- Links the search volumes to the related global search results.
- Offers a broad/ fuzzy matching search feature, which takes advantage of stemming to return related word forms.
- Provides links to price estimate tools from Google AdWords. That Google AdWords tool showed the necessary bid to rank #1 for 85% of queries, and roughly how much traffic you could expect AdWords to send you based on that bid price and ad position, though, as mentioned above, Google has obfuscated their data in their interface for everyone but longtime AdWords advertisers.
- Links to Google Trends, Google Suggest, and other tools providing keyword research results.
- Links to various vertical community sites to let you know if people are talking about your topic on those sites and what types of resources they are referencing.
Want more free PPC or keyword research tips? Need more Keyword Research Data?
- If you use pay per click marketing you are probably best off using Google AdWords and Bing Ads over the smaller PPC engines due to typically higher click quality and faster feedback loops.
- If you are a locksmith or a pizza shop mobile search ads which drive conversion oriented calls are highly valuable. However for businesses with more complex sales funnels desktop visitors have a substantially higher visitor value than mobile phone users. In August of 2016 TripAdvisor executives stated their visitor values on desktop and tablet devices were similar, but cell phone visitors were only worth 30% to 1/3 as much. Smaller businesses likely see a deeper click value discount on smart phones and other small mobile devices where typing (and thus converting) is hard to do.
- Geordie Carswell offers a free 10-day Google AdWords course.
- Wordtracker offers a valuable subscription based keyword research service. Wordtracker also sells lists of top search terms at various price points and depth.
- Dan Thies‘s SEO Research Labs offers professional keyword research services and this free 75 minute keyword research video.
- Tools can only provide helpful information and estimates. Don’t let tools make your mind up for you!
- Don’t expect precise quantitative analysis from keyword tools. Almost every market has some seasonality to it.
- Use tools for qualitative and relative analysis. You can see which word is likely to be more important and roughly by how much without knowing precisely how many people will search for it next month.
- People tend to typically use language in similar patterns. If there are 14,000,000 search results for [“car hire”] and only 2,000,000 pages for [“hire car”] then odds are car hire is a more common search term.
- Most keyowrd databases consist of a small sample of the overall search universe. This means keyword databases tend to skew more toward commercial terms and the core/head industry terms, with slighlty less coverage of the midtail terms. Many rarely searched for longtail terms are not covered due to database size limitations & lack of commercial data around those terms. Plus if those terms were covered, there would be large sampling errors. Google generates over 2 trillion searches per year and claims 15% of their searches are unique. This means they generate searches for over 300 billion unique keywords each year. The good news about limited tail coverage is it means most any keyword we return data on is a keyword with some commercial value to it. And with Google’s Rankbrain algorithm, if you rank well on core industry terms then your pages will often tend to rank well for other related tail keywords.
- Since we estimate search network traffic, any sampling error is amplified due to the difference in traffic that may happen across different locations, search services, and time (e.g. seasonality).
Depending on your topic / vertical and your geographic location the search engines may have vastly different search volumes. The tool can only possibly offer approximations. Exact search volumes are hard to find due to vanity searches, click bots, rank checkers, and other forms of automated traffic. Exceptionally valuable search terms may show far greater volume than they actually have due to various competitive commercial forces inflating search volumes due to automated search traffic.
* Please note our tool currently assumes Google having ~ 83% of the market, with Bing + Yahoo! splitting the remaining 17% of the market. Actual market conditions may vary significantly from that due to a variety of factors including: search location, search market demographics, how much marketshare mobile search has relative to desktop in that particular vertical, etc.
Why is There a Panda in Your Logo?
Before the Google Panda update it was common for SEOs to create a different page targeting each keyword variation. One page each targeting:
- blue widgets
- cheap blue widgets
- discount blue widgets
- blue widget
- cheap blue widget
- discount blue widget
After the Panda update rolled out, the latent risk in such a strategy could (typically would) vastly exceed the direct cost of the content, as poor pages on one part of a site could drag down the ranking of other pages on the site which targeted different keywords. Some sites have seen their search traffic fall over 90% with their ad revenues falling even faster. Demand Media went from being worth a couple billion to tens of millions of Dollars. ArticlesBase.com sold on Flippa for $80,000, but was making over $500,000 PER MONTH in profit before getting hit by Panda. Many other Panda-torched sites like Suite101 have simply went offline.
Further, after Google rolled out other algorithms which aimed to better understand searcher intent (like Hummingbird / Rankbrain) a person no longer needed to include related word variations as much to be able to rank a page for many conceptually related searches.
Great web content includes industry trivia and historical folklore. 😉
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