How to make conversion-driven SEO?
Sébastien MOUGEL (CEO Beyond1)
AI and Software Engineer : LinkedIn
Conversion driven SEO is the "Holy Grail" when it comes to selling products or offering services on your website. As a website owner, your ultimate goal is to sell your products and services efficiently.
To achieve this, you need to create content that is valuable to your users but how to find good ideas of content?
How to know in which position your content could rank?
How to know if my content will convert?
To address these questions you need to implement a methodology. Let's talk about it.
Step 1: Measure the performance of your content
Not knowing what works is akin to running blindly in the fog. Without visibility, you lack direction and purpose. But if you see the light, you can direct your effort toward a goal.
It's the same for content marketing!
And this bright light is to put a number next to your content : conversion count, sales amount etc.
Content / Page | Conversions | Sales revenue |
---|---|---|
Black High hells - Example-Store.com https://example.domain.com/black-high-hells.html |
20 sales/month | $1000 |
Running shoes - Example-Store.com https://example.domain.com/running-shoes.html |
35 sales/month | $3200 |
Mocassin - Example-Store.com https://example.domain.com/mocassins.html |
2 sales/month | $175 |
To achieve this, it is essential to implement conversions tracking. The objective is to establish a connection between the SEO content that attracts prospects to your website and its ability to drive conversions.
By implementing tracking mechanisms, you can effectively measure the performance of your content in terms of revenue.
As an example : SEOCopilot's tracking feature enables you to determine which specific page on your website leads to a conversion.
- When a user arrives from Google we store that information in a cookie, including the Visitor ID and the entry page.
- When a user completes a conversion, we can attribute the conversion to the entry page they initially landed on.
Example of tracking
Step 1 : A user make a google search Running shoes
Step 2 : The user click on your search result
Step 3 : With the tracking, you store the entry page : https://example.domain.com/running-shoes.html
Step 4 : The user visits several pages before making a purchase
Step 5 : The user make a conversion (We link the purchase to the entry page : running-shoes.html)
By collecting these data we can compute the conversion rate of each page.
This capability provides you with the knowledge of which content to prioritize for future writing, allowing you to concentrate your efforts where the potential for generating revenue is highest.
The conversion rate of silver High heels is 2 %.
We could imagine the conversion rate of gray high heels is almost identical (2 %) due to intent similarity in the search queries. And maybe there is less competition on this term...
Step 2: How to discover compelling content ideas?
First let's define what constitutes a good content idea?A good content idea refers to an idea of content to write where you are almost sure to have a high conversion rate and attracting significant traffic. However, determining which keywords will deliver this traffic can be challenging. How can you find keywords that offer both good traffic and minimal competition?
The Google Search console provides a lot of data:
- queries leading to your website
- the actual position of your page for a search query
- the impression volume in Google Search results pages
- the number of time your content is clicked
What's inside the Google Search Console?
Date | Query | Page | Position | Impressions | Clicks |
---|---|---|---|---|---|
2023-05-01 | silver high hells | https://example.com/grey-high-hells.html | 75 | 5 | 0 |
2023-05-01 | grey high hells | https://example.com/grey-high-hells.html | 3 | 521 | 7 |
2023-05-02 | silver high hells | https://example.com/grey-high-hells.html | 76 | 4 | 0 |
2023-05-02 | grey high hells | https://example.com/grey-high-hells.html | 2.9 | 531 | 8 |
What do you expect if you write this specific content : silver-high-hells.html for the search query silver high hells?
Think in terms of:
- position
- impressions volume
- clicks volume
To find good opportunities we could search in the search console for each keyword :
- in which position we could rank
- the impression volume
- the click volume
- the conversion rate
Let's try to predict the future
Imagine you decide to write specific content matching 100% the search intent for silver high hells.
Query | Current Future position | Current Future Impress° | Current Future clicks |
---|---|---|---|
silver high hells | 75.5 5 | 5 600 | 0 12 |
The impressions and clicks will increase.
It's worth noting that the more specific the search query, the greater the potential gain in position.
The power of position prediction
To estimate the future position we rely on a few assumptions:
- Consistent Content Quality: We assume that the future content you write will maintain the same level of quality as before.
- Website Popularity: We assume that the popularity of your website will either remain the same or experience minimal degradation.
If the page sport-shoes.html ranks in 80th position for the search query “running shoes”. We could expect to rank in a higher position by writing specific content on running shoes. You have to estimate your position gain for each piece of content you could write. You could put a ponderation on the position gain by the level of competition on the query.
SEOCopilot - position gain modeling
Several factors are used to estimate the position gain like : query competition, semantic distance.
For highly competitive keywords the position gain will be small.
When there is almost no competition, the position gain will be large.
When your content is perfectly aligned with search intent, Google rewards you.
Blue line (previous content) Red line (specific content)
Impression prediction
By utilizing the Google Search console Data, you have the ability to retrieve the impression volume for a specific page. This information can be leveraged to estimate the expected impression volume on page 1, 2, 3 of the google SERP. It's important to note that there can be a lot of variability depending on the semantic context of the query… However, even with this variability, extrapolating impression volumes provides a valuable metric for sorting and prioritizing your content ideas.
Inferring impression volume from actual volume and position
Example:
If I currently rank in position 83 with 5 impressions...
What would the impression volume be if I were in the first position?
By utilizing historical data, you can compute ratios and make estimates to determine the expected impression volume.
Click volume prediction
We know that pages appearing in the top positions of Google SERPS receive more clicks. Through statistical analysis we can establish the click-through rate as a function of the position in the SERP. For instance, in position 1, you can expect a click rate of approximately 30% while in position 2, it's around15%. and so on. This information allows us to sort our content ideas based on click volume.
SEOCopilot - CTR modeling
There is a lot of variability in terms of CTR depending of the semantic context.
Conversion rate prediction
Conversion rate prediction is a hot topic of research. Conversion events are scarce and raw AI methods, which are data-hungry cannot be directly applied (There are other means) BUT by leveraging the principle of similarity you can deduce that similar content will have similar conversion rates.
High heels = 1.5% conversion rate
Running shoes = 2.0% conversion rate
Based on your intuition, which types of content are likely to have similar conversion rate for Sport shoes?
See illustration below
With an an estimation of the conversion rate, multiply it by your customer lifetime value (LTV) and you get an estimation of the potential earnings for a keyword.
Sport shoes : 1200 visits /month X 1% (conv rate) * $200 LTV = $2400/month ($28800 per year)
Sport shoes $28 800 per year
Isn’t it beautiful?
Putting the sales figure next to the content ideas is magical! You have to see it to believe it.
Step 3 : Let’s put it together
This is our dataset :
- keywords ideas
- impression volume
- click volume
- conversion rate
- sales amount
You can create an Excel file and add these columns to prioritize your content production based on the ability to rank, generate traffic and conversion potential.
Before: You would make a guess about what to write and hope to make money, even though only 10% to 20% of your content actually led to a conversion.
After: You make data-driven decisions and have a clear understanding of the type of content that converts. This knowledge empowers you to double down on what's truly effective and avoid working for nothing.
Conclusion
There is a vast amount of data, including search queries and webpages, that needs to be analyzed, and various data analysis tasks such as clicks, impressions, and sales predictions must be carried out. You can hire developers to do that or build it by yourself.
Furthermore, with the insights gained from user data, you can quickly adapt to changes in user preferences. If your users change their minds, you'll discover it early.
This is the driving force behind the creation of SEOCopilot. It alleviates the pain of finding good keywords and allows you to easily scale your content production based on ideas that convert. By focusing your time and effort on what truly matters, you can achieve remarkable results.
- How to make conversion-driven SEO?
- Introduction
- Step 1 : Measure the performance of your content
- Step 2 : How to find a good content idea?
- Position prediction
- Impression prediction
- Click volume prediction
- Conversion rate prediction
- Step 3 : Let’s put it together
- Conclusion
Try SEOCopilot for free
I want to explore content ideas that can boost my conversions.