It is common for marketers to target individual keywords when creating and optimizing content. However, topic groups are a much more efficient way to do keyword research.
By grouping topics, you can get results from the individual terms you target as well as create a powerful set of relevant and associated keywords to drive traffic to your website.
On January 25th, I moderated a webinar with Dave Snyder, CEO and Founder at CopyPress, and Sabrina Hipps, Vice President of Partner Development. They show you how to build a better keyword universe for your marketing efforts.
Below is a summary of the webinar. To access the entire presentation, Complete the application.
The problem with search-focused content
Search-focused content production still primarily focuses on “traditional keyword research” or “linear keyword research”, which includes:
- bad data.
- Limited range.
- Focus on one keyword rather than the intent.
- Waste and repetition in your content strategy.
- Inaccurate ROI modeling and predictions.
- Great amount of labor to scale it properly.
- Increased likelihood of poor data accuracy from third party tools.
As you can see, traditional or linear keyword research usually focuses on single keywords. It doesn’t focus on things holistically, and it doesn’t focus on user intent.
How topic clustering solves research-focused problems
An aggregated approach to related words may result in something worth the expense of adding to your content.
Thread compilation:
- It reduces waste and gives clear ideas for grouping keywords in content pieces.
- It gives a better prediction model that takes into account all the potential traffic that each piece of content can generate.
- It greatly reduces the cost of keyword research from a business perspective.
- Mitigates potential impacts of poor third-party audio volume fidelity.
[Find out how clustering differs from linear keyword research] Instant access to the webinar →
Two ways to discover and use keyword combinations
There are advanced machine learning software that can speed up your workflow, as well as manual methods you can try.
A low-tech, manual approach to grouping subjects
This method will be somewhat labor intensive, but if you are doing 10 or 20 blog posts per month, this is an easy way to get your concepts together and get a better prediction.
[Get the steps] Instant access to the webinar →
A high-tech automated approach to subject grouping
Avoid SEO scaling issues and topic grouping with machine learning.
The template we use in our on-demand webinar It uses an educational model similar to what Netflix uses to help people find new movies and shows that are comparable to what they’ve watched previously.
- Keyword data is collected based on initial user terms and competitors. Next, the best SERP results for each keyword are collected.
- Top SERP scores are run through models to determine how similar Google’s validation is to these datasets/terms.
- A secondary machine learning process is then used to group terms related to the container based on a user-controlled metric.
[See how it works] Instant access to the webinar →
The high-tech approach to subject grouping saves time and frees up internal resources, especially in the long run.
[Slides] How to speed up your keyword research with powerful topic combinations
Here is the presentation:
Join us for our next educational webinar!
Enterprise SEO: 7 Use Cases to Elevate Website Optimization with Website Intelligence
Ali Habibzadeh, CTO of Lomar, and Ashley Berman Hill, Vice President of Professional Services for Lomar, will discuss innovative ways to help your website succeed in search, while giving your visitors a first-class user experience.
Reserve my seat
Image credits:
Featured Image: Paolo Bobetta/Search Engine Magazine
