Yes, they’re ready to make a purchase!

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saturated markets. They’re targeting the same terms to secure a proportion of the same search traffic. This is a very challenging prospect to face, and without carving out a gap in the marketplace, they won’t necessarily deliver the results they seek to secure. Likewise, relying on informational guides to target long-tail keywords means that you’re missing a large percentage of users who have very specific buying requirements.


By shifting your focus to address your customer’s real needs and expectations, you’ll be able to deliver a satisfying, frictionless experience at every interaction and all the way through iran gambling data to that final purchase. The solution Step 1: Conduct long-tail keyword research Build a really comprehensive view of your potential customers by harnessing data from a variety of sources, including: a) Keyword research tools like Moz, Google Keyword Planner, and Answer The Public.


b) The SERPs — get inspiration from the auto-suggest results, People Also Ask, and the related search links at the bottom of the page. c) Competitor activity — aside from using SEO monitoring software, you can use a data mining extension tool like Scraper, which will extract faceted options directly from competitor Product Listing Pages. These tools are often free to download and allow you to quickly transfer product categories. d) Your Google Search Console, Analytics, and PPC accounts to determine which keywords and URLs are securing the highest number of visits and web conversions.


Internal search data can also give you great consumer insights. e) Speak to your merchandising team to understand product demands and fulfillment capabilities. Step 2: Group into meaningful sub-topics Once you’ve collated all this information into a spreadsheet, you’ll be able to discover long-tail, consideration-orientated keywords. While individually they may not boast huge monthly search estimates, they can collectively highlight where purchase intentions can be better fulfilled. To help illustrate this point, we can look at a small subset of lingerie keywords and the facets the searches represent: Table showing various average monthly searches and facet categorizations for various keywords.