Ah, site traffic – the often overlooked first step in online marketing that is absolutely crucial to gaining more conversions to sales.
Only a small portion of your overall web traffic will convert on your offers, so the more traffic you have, the more money you will make – something we can surely all get behind!
There are many different ways to bring traffic to your website. This can range from advertising to promoting your content on social media, from using amazing headlines and creating valuable content to learning about keywords and SEO.
If you’re here, the chances are you will already know a little bit about SEO and keyword targeting. But what you might not know much about is TF-IDF optimisation.
What is TF-IDF Analysis?
Put simply, TF-IDF Optimisation will get you more site traffic because it increases your webpages ranking on SERPs (search engine result pages).
TF-IDF is a toolset that enables you to better understand how Google is scoring and associating your pages with keywords related to the document’s content. This is the very building blocks of search engines themselves and will hugely increase your ranking on SERPs.
Think of it this way: Google has billions of pages to crawl and score for relevance on topics that surround a user’s submitted query. In order for Google to return results, Google needs to rank these documents based on relevance.
Not all of these documents contain all of the terms relevant to the user’s query, and some keywords are more important than others. The relevance of any particular article is, then, in part the amount of keyword terms that appear in an article.
This is semantic searching – Google looking for webpages that return articles with the greatest meaning to the user, rather than those with the most keywords.
Google is smart – it now knows when content isn’t valuable and is on the verge of being spam. Its powerful new algorithms use analysis similar to TF-IDF to ensure that content is relevant to the topic being searched.
At the same time – it’s still just an algorithm that is refining its abilities. That means that it’s still important for SEOs to understand what’s going on, and how they can use SEO to increase their site traffic. You can use TF-IDF to get a wider reach with your content, increase your traffic without being penalised by Google, and know what content Google qualifies as the top-ranking webpages in SERPs.
Long-story short: you need to learn about TF-IDF!
How Does TF-IDF Work?
First of all, the definition of TF-IDF. It stands for term frequency multiplied by inverse document frequency. It’s an old technique used to analyse documents, by signifying how important a word or phrase is within a huge body of texts (like the internet).
Firstly, it tells you how often a word appears in a document – then it tells you the importance of that term compared to others in the document, which occur frequently and are common words (like ‘a’ or ‘the’). This allows the algorithm to only find unique words that contribute to the relevance of the webpage.
The end score tells you how relevant your keywords are and is especially handy when it comes to SEO and attracting more site traffic.
Once optimized for TF-IDF, you’ll see your keyword ranking go up, and this just means more traffic, more time on page, and more conversions for you and your business!
Another way TF-IDF will increase your site traffic is by leveling up your featured snippet game.
This is because content that has undergone a TF-IDF analysis will be primed for featured snippets – because it includes all of the words and phrases that Google already wants to see in order for your page to qualify.
How Do I know I’ve been successful?
Once you’re done optimizing your content with keywords and phrases that Google – and internet users – want to see, you can track your performance over time with tools like STAT. You can look at new pages to see how they are performing and do some A/B testing by segmenting keywords into two tags (one from core keyword research, another from TF-IDF analysis). You’ll begin to see the difference between pages analysed for TF-IDF results and those not.
