Let me show you an example. I just surfed over to a very popular blog called The Busy Budgeter (www.busybudgeter.com) to find an example topic. Rosemarie is the blogger over there and I’ve been following her journey recently. She’s absolutely killing it online! But, I happen to know that she gets most of her traffic from Pinterest and that working on SEO is one objective that she wishes to tackle. So, let’s see if we can help her out… A quick scan of her homepage tells me what type of content she produces and who her audience is. It appears her audience is largely female, lots of stay-at-home moms and a good portion of her content revolves around teaching others how to make money online.
More on this How to Do Keyword Research with SEMrush Keyword Magic Tool Post Maria Raybould SEMrush Toolkit for SEO Ebook Mar 16, 2018 Intent research: Confirming your keyword intent assumptions with Google ads Webinar recorded on Sep 20, 2018 Of course, knowing where to start can be difficult. Below you'll find the five best SEO keyword research tools I recommend for startups to begin a well-rounded keyword foundation for your campaigns.
Be sure to re-evaluate these keywords every few months -- once a quarter is a good benchmark, but some businesses like to do it even more often than that. As you gain even more authority in the SERPs, you'll find that you can add more and more keywords to your lists to tackle as you work on maintaining your current presence, and then growing in new areas on top of that.
This keyword research tool is effective, automatically providing you with keyword suggestions that other sites haven’t necessarily turned up (which it’s intended to do), along with their search volume, CPC, and Adwords competition. In order to get any actual information about the keywords, though, you need to upgrade to Keyword Tool Pro (which is a little misleading on the site copy). This plan is $88 a month, and if you’re just doing keyword research for Google, I’d recommend choosing one of the other tools for the price.
As you can see, LongTailPro is pulling data from Google Adwords. WHAT?! So LTP uses a mix of their own massive data (launched in 2011) and data pulled via API from Majestic.com, Moz.com, and Google Adwords (http://adwords.google.com). Once you input your seed keywords, LongTailPro outputs suggested keywords related to your seed keywords, search volume, Adwords suggested bid, Adwords competition, total words, rank value, average keyword competition, language searched, and location searched.
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).
1 – I’ve found a niche with low competition and good CPC . but the thing is the while doing competition analysis. I observed that most of the sites that are in the top 10 serps ranking are small ecommerce site selling their own product or sites like niche specific classified ad site with low and thin content. What are your suggestions ? Should I go for such keywords ?
Within the results, Long Tail Pro inserted several more keywords based on that suggestion and automatically calculated all relevant stats (including KC Scores). It only took me a few seconds to scan those results and see a great long tail keyword – legitimate work from home jobs with no startup fee. This exact keyword gets 210 monthly searches and has a KC Score of only 25! Rosemarie could easily write an article for her Busy Budgeter site that is optimized for this exact keyword and she should be able to rank in Google somewhat easily.
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.
These 3 keyword matching options are not solely to blame for the large variations seen when comparing data from the keyword tools. Much of this difference can be attributed to the distinctive techniques that the tools use to collect their data. Let’s take a look at how these tools collect and present their data and hopefully it will help clear up any confusion.
Unlike similar tools, Serpstat is a page-oriented platform for in-depth competitive analysis. You can find competitors and define missing keywords for a single URL or even entire domains. You can also view historical position data for a range of pages organized by phrase, as well as see which pages have dropped in rank and their rank distribution as a percentage, which is very handy if you want to compare data from two different time periods or observe changes over time based on algorithm updates and other factors.
You can try DeepMiner. It is good for scrapping, rank position, generating long tails and keyword suggestions. You can export the data to document for later analytics. You can find popular keywords that people are searching for. 7 major engines are supported, Google, Yahoo, AOL, Amazon, YouTube, Ask, Bing. It supports multi-threading so it is very very fast scrapper. BTW you must use proxy list if you plan to scrap thousands and thousands of keywords.
So what exactly is Keyword Competitiveness (KC)? It’s only the feature within Long Tail Pro that completely changed the game and made keyword research so ridiculously simple that even a dumb truck driver like me could become an expert! It basically works like this. As soon as you click the button in Long Tail Pro Cloud to retrieve keywords, it automatically calculates a number for each keyword (between 1 and 100) based on several different SEO factors. Lower numbers mean the keyword is easier to rank for and higher means it is harder to rank for. More on that below…
The final sales price was based on a multiple of trailing 12 months net income (i.e. The average net income over the most recent 12 months). I feel like I got a very good multiple. I had talked to the brokers at FEinternational, Quiet Light Brokerage, and had viewed sale history of other similar companies, so I know the price I received was very competitive.