22 Jul
In the ever-evolving realm of digital marketing, a deep understanding of the sources of your website’s traffic is paramount. This knowledge is instrumental in optimizing strategies and ultimately achieving better outcomes. One of the key distinctions that holds significant importance is the differentiation between branded and non-branded keywords.
What is the difference between Branded and Non-Branded Keywords?
Branded Keywords: These are keywords that specifically incorporate your company’s name, products, or services. They are highly specific and directly associated with your brand identity. Branded keywords play a crucial role in reinforcing your brand image and ensuring that your existing customers can easily find you.
Non-Branded Keywords: On the other hand, non-branded keywords are more generic in nature. They are typically related to the broader industry or the specific topics you cover on your website. Non-branded keywords are valuable for reaching a wider audience, potentially attracting new customers, and increasing your website’s organic visibility.
Understanding the distinction between these two types of keywords is particularly significant for SEO specialists. It not only sheds light on the effectiveness of your branding efforts but also reveals the organic interest your content garners from a broader audience.
Now, let’s delve into a set of simple steps to create a comprehensive report using Looker Studio to further enhance your digital marketing efforts:
Simple steps to create a report in Looker Studio
Step 1. Create a report in Looker Studio. Begin by setting up a report in Looker Studio, your go-to platform for data analysis and visualization.
Step 2. Connect data from Google Search Console. Integrate data from Google Search Console to gain insights into the performance of both your branded and non-branded organic traffic.
Step 3. Create charts and Tables with Queries. Utilize Looker Studio’s powerful tools to create visually engaging charts and tables that provide a clear representation of your website’s traffic data.
Step 4. Create a filter. Implement a filter to refine the data you’re working with and focus on the key metrics that matter most to your analysis.
Step 5. And add Regex formula.
What is RegExp?
Regular Expressions, commonly known as RegExp or regex, are powerful tools used for pattern matching within strings of text. They allow users to define specific search patterns, enabling advanced text processing, data validation, and text manipulation tasks. In the context of SEO and keyword analysis, RegExp can be particularly useful for distinguishing between branded and non-branded keywords.
In this step, you can fine-tune your analysis by adding a regex formula. This formula allows you to list all the brand names that users might employ when conducting searches. By doing this, you can perform a detailed analysis, including sentiment analysis (like smile analysis in GSC), and better categorize your data. Use the “Field ID: query-category” and create a formula like “seopoint|seo point” to capture relevant data.
In that formula, you can list all brand names that you know users can use (do smile analisys in GSC)
Field ID: query-category
Formula:
seopoint | seo point | seopoints | seopoint.biz | seo point biz
(on the screenshot above you can see only a few mentions of brand name “SEO Point”, but in your case you should list all types of your brand name, website etc. Different type of these keywords you will be able to find in Google Search Console)
Step 6: Choose “Exclude” for Non-Branded Traffic By choosing the “exclude” option, you’ll be able to isolate and analyze the non-branded traffic to your website. This is crucial for assessing the impact of your SEO efforts in capturing a broader audience beyond your brand’s loyal customer base.
Following these steps, you’ll be well-equipped to generate a comprehensive report for your client, highlighting the diligent efforts put forth in promoting non-branded keywords and expanding your website’s reach.
This approach will enable you to generate a comprehensive report for your client, showcasing the diligent efforts put forth in promoting non-branded keywords.
Incorporating Regular Expressions (RegEx) into your Google Looker Studio reports opens up a world of possibilities for advanced data processing and visualization. For SEO specialists and data analysts, RegEx provides the tools needed to filter, categorize, and transform data in ways that go beyond the capabilities of basic functions. By leveraging RegEx, you can create more precise, dynamic, and insightful reports that better reflect your SEO performance and strategy.
If you have any questions or require further assistance, please don’t hesitate to leave a comment below.
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