[keyword analysis research] Discover Top Paying Keywords To Triple Your Revenue With AdSense Online TODAY!
The key factor to TRIPLE your revenue with AdSense online today is to DISCOVER top paying keywords! Today, I am going to give you my favorite keyword analysis research tool to discover high paying keywords. You'll discover my highly recommendation for discovering high paying keywords. If you are truly serious about how to increase your revenue with AdSense online, you must READ THIS:
In people's search for higher incomes from Google AdSense a lot of AdSense publishers are looking to DISCOVER those top paying keywords that really bring the best passive income possible. The higher an advertiser pays for a keyword, they more the advertiser receives when they click on a link.
However, how can you find such keywords for your own website? Well, the answer to that question depends a little on who you are and what you're prepared to do to get those top paying keywords. But the general good news is that you can indeed discover such keywords if you need them. I highly recommend you to find the keyword research tools to help you to DISCOVER high paying keywords for your AdSense. Those keyword tools will save you a TON of your time! I am sure that you will discover some keywords that you’ve never thought about!
Of course, if you can afford such a solution, one of the best ways of getting your hands on those keywords would be to pay for them. There are specialized companies that do business by finding people good keywords, not only for the purpose of more AdSense revenue but for search engine optimization as well.
Such a service can be found on "Top Paying Keywords" here. and this is a no-brainer to getting relevant content on your website and increasing your revenue with AdSense by a whole bunch quickly.
Of course, if such a solution does not work for you, you can ultimately resort to a method of personal investigation. That means you try out keywords by yourself and see which ones work better or worse for yourself.
While you might also be doing this for the first method (paying someone else to get the keywords) it would probably be better then this because you'd at least be narrowing down search to certain items.
While you're trying this make sure to keep using AdSense's 'channels' feature along the way as it can be a very good way of letting you know which sections of your website are generating income and which aren't.
Of course, you can also yield a great amount of help from AdSense's arch enemy Overture. Overture gives you the possibility of entering keywords and finding out not only how much advertisers are paying to get them on your page, but how much people are clicking on the words as well. This service can be found at: http://www.pixelfast.com/overture/
You can also try out a keyword research tool called Word Tracker here. What this tool can do is tell you how many websites are already using the same keywords. Learn from this lesson and don't try to use the keywords that a lot of people are already using.
Also, a great aid may very well be found in Google itself. Search Google for any keywords you may wish to include in your pages and look at the results. The results on the left will probably be your competitors (and if they have Google AdSense ads on their page you can bet then are) while the links on the right display ads relevant to your search.
If your search doesn't yield any AdSense results then you might want to reconsider including those keywords in your site.
Make sure you don't use any dead words (words that don't get any links on AdSense other then public ads. That is probably the most important thing you should be doing.
Of course these are only a few methods of getting out of the dead zone and starting to make serious money with AdSense. If you've seen a lot of people with "not so hot" websites generating a lot of AdSense revenue, using these tips can get you right behind them (or in front if you're really smart) very fast. Although this is the case it is also very important to remember that having the highest paying words does not mean that you make the most money. You have to also consider how many times the advert is clicked on.
My bottom line is to find your best keyword analysis research tools to DISCOVER top paying keywords. Those keyword tools will help you to discover & expand more high paying keywords and save a TON of your time. Another keyword suggestion tool for top paying keywords is Keyword Discovery.
I am sure that you'll triple your revenue online with AdSense through those recommended keyword analysis research tool!
Labels: buy keyword software, keyword analysis research, Paying Google Adsense Keyword, top paying keywords
[keyword analysis research] Discover Keyword Optimization By Microsoft Showed Off AdCenter Last Week HERE!
Today I am going to update you about Microsoft's Keyword Optimization showed off last week. Yesterday I got a newsletter written by Kevin Newcomb about Microsoft showed off last week.
You'll discover one of three key areas Microsoft showed off last week below:
"Microsoft last week showed off adLabs research focusing on three key areas: keyword optimization, video display ads, and consumer orientation.
Keyword Optimization
Keyword optimization efforts are built upon the Keyword Service Platform (KSP), a set of services that third-party developers can use through APIs to build Web applications to analyze keywords. Microsoft released the APIs to developers last week, and Colborn said partners are currently working on various applications to more effectively suggest, categorize, monetize and forecast traffic and extract keyword terms.
"We're making it an open network by publishing and sharing the algorithm," said James Colborn, product manager for adCenter Labs. "We're excited to see how our partners will build on the KSP."
Microsoft has developed its own set of tools in adLabs based on the KSP, including a keyword forecasting tool, a search funnel analysis tool, and a search result clustering tool. A vertical competitive analysis feature allows advertises to dig deeper into the "long tail" keyword suggestions, and more accurately test budget predictions.
Marketers will also be able to extract trends in search campaigns to create modeling and forecasting tools to apply to their broader business, since the search queries will capture user intent around the marketer's products and services, he said.
Some of the more developed keyword optimization projects underway in adLabs include tools to improve the detection of commercial intent, to break down multi-word queries into separate phrases, and to classify keywords into a taxonomy that will improve contextual targeting of ads.
Commercial intent detection, currently being tested in adLabs, returns a probability score reflecting the likelihood that a word or phrase is part of a search with commercial intent. The scoring can be used to track a searcher's progress through the purchase funnel, or to determine that a searcher is not looking to purchase, but to support a previous purchase.
For instance, "digital photography" shows a 51.4-percent likelihood of having commercial intent, which reflects the informational nature of the query. Moving farther toward commercial intent is "digital camera tips," which shows an 81.7-percent likelihood.
When it gets down to choosing a camera model, searchers would likely turn to queries like "digital camera review," which shows a 98.3-percent likelihood of commercial intent, and finally "digital camera store" shows a 99.8-percent likelihood of commercial intent.
"Most marketers are ROI-focused, and can't afford the luxury of paying for non-commercial keywords," Colborn said. The tool can also help marketers target ads to users that can help move them to the next stage of the purchase funnel, or target them with information or services appropriate to their non-commercial query. "Marketers understand that people do research and eventually buy. They may want to reach their audience in the research phase so they'll keep them in mind later when they're in the commercial phase," he said.
In order to better process multi-word queries, Microsoft is developing 'query entity detection" algorithms, to break down queries into chunks that go together. So a search for "real estate agent" would recognize the phrase "real estate" should stay together, instead of treating them as a collection of single terms. The algorithm analyzes the relationship between words in a search term, and decides the best way to break it down to improve relevance of results.
The keyword categorization engine will be incorporated into adCenter as part of the Content Ads addition later this quarter. It will help solve the problem that some contextual ad networks have of delivering too much irrelevant traffic or not enough traffic overall, Colborn said.
"You need to place contextual ads in the most precise category. The keyword categorization engine will identify content channels appropriate for a business, and provide a confidence score of which category a keyword fits in," he said.
The Content Ads program has been in beta with several advertisers since October, and more U.S. advertisers will begin to see their campaigns show up in Microsoft's Content Ads program as early as this week, according to the adCenter team. Advertisers were selected based on how well their ads match the inventory currently available in the pilot. Plans call for a roll-out to all customers shortly after the pilot concludes.
Unlike most other contextual ad programs, Content Ads is not yet open to third-party publisher sites. Instead, ads will appear on Microsoft properties, such as MSN, MSN Money, Dating and Personals. Advertisers will have the option to opt out of the Content Ads program at any time, or to set separate bids for keywords to display on content pages.
Many search marketers have seen early success with adCenter, though a common lament is for more traffic, as long as quality does not go down. Microsoft is hoping Content Ads will be one answer to the inventory problem."
Labels: buy keyword software, keyword analysis research, keyword analysis research tools, keyword tool
