Thanks for your 2019 tips. As a startup business I’m researching heavily on all SEO matters and you’re giving me the confidence to succeed. Just one question if I may. I’m creating a platform that will have 50,000 pages… As it’s practically impossible to create backlinks to all individual pages, do backlinks count from the domain, for example blog posts. Thanks, Matt
Take the 10 pillar topics you came up with in Step 1 and create a web page for each one that outlines the topic at a high level -- using the long-tail keywords you came up with for each cluster in Step 2. A pillar page on SEO, for example, can describe SEO in brief sections that introduce keyword research, image optimization, SEO strategy, and other subtopics as they are identified. Think of each pillar page as a table of contents, where you're briefing your readers on subtopics you'll elaborate on in blog posts.
Thanks for bringing up this point - I agree Eric - competitive positioning can help you determine value that you bring to the table that your competitors dont.  I'm all for it.  Neilsen does some reports that provide awareness, likelihood to recommend, sentiment and other insightsfor your site/brand and your competitors. You can also pull some of that type of insight out of social listening platforms like NetBase, SM2, Radian6, Dow Jones, Nielsen, and so many others.  I've even done some hacked compeitove sentiment comprisons before using Search: searching for [brand or feature] + "like", "love", hate", "wish" etc. 
Specifics: Be as specific as you can with your recommendations. For example if you’re suggesting partnering with meal home delivery sites, find out which ones are going to provide the most relevant info, at what cost if possible, and what the ideal partnership would look like for content and SEO purposes. Even provide contact information if you can.
Thanks for bringing up this point - I agree Eric - competitive positioning can help you determine value that you bring to the table that your competitors dont.  I'm all for it.  Neilsen does some reports that provide awareness, likelihood to recommend, sentiment and other insightsfor your site/brand and your competitors. You can also pull some of that type of insight out of social listening platforms like NetBase, SM2, Radian6, Dow Jones, Nielsen, and so many others.  I've even done some hacked compeitove sentiment comprisons before using Search: searching for [brand or feature] + "like", "love", hate", "wish" etc.  

As I had a teacher at school who was always really picky on how to draw conclusions I must say that the conclusions you drew for your health situation might be true, but dangerous. For example: If slightly more women than men suffer from health deseases it could be wise to write the information toward women. But, if you take search behaviour into account thing could look a lot different: It might turn up that men search more than women or that (senior) men are more present on the net than women.

Great and impressive article! Sounds good, but looks good for blogs where you are giving usefull information to readers, like strategies, advices etc. But unfortunately I can now hardly imagine how I will apply it in the gambling industry, where people are just looking for bonuses, but not for useful content. But I will try, will try to improve firstly user intent.


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This was all free information I found online in less than an hour, that gives me some great ideas for content, partnerships and potential tools to build into my site to be relevant and useful to my target audience. Of course this is just some quick loose data, so I'll emphasize again: be careful where your data comes from (try to validate when possible), and think about how to use your data wisely.

As I had a teacher at school who was always really picky on how to draw conclusions I must say that the conclusions you drew for your health situation might be true, but dangerous. For example: If slightly more women than men suffer from health deseases it could be wise to write the information toward women. But, if you take search behaviour into account thing could look a lot different: It might turn up that men search more than women or that (senior) men are more present on the net than women.
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