SEO is closely tied to working with data. Without analytical skills, it can be extremely difficult to create comprehensive strategies that will be effective for clients.
In my opinion, data analysis is key to any korea telegram type of data-driven marketing, especially in this day and age. However, to develop more advanced skills, you don’t need to process more data, but rather change your approach and find interesting and useful insights.
Basic analysis
Advanced analysis
53% of website visitors leave without taking any action
People who download X are 73% more likely to convert
Organic traffic grew by 231%
We reduced time to conversion by implementing Y
Our most effective content is X
Based on the annual forecast, we expect 150% growth thanks to Z
We are in first place for these keywords
Our blog gets Y traffic from Google search engine
The difference is that the underlying data on the left is readily available in any analytics tool. It doesn't require a lot of searching or in-depth analysis.
However, this data is not always useful or actionable, especially when you share it with clients or executives who don't always understand its value or know what decisions to make based on it.
Instead, the findings on the right link specific actions to results. They can be used to justify increasing SEO budgets. Such observations allow non-SEO specialists to understand what specific steps were taken to achieve the result and why it is worth investing in what brings success.
5. Use product and audience data in your SEO strategy
The types of data you collect to develop your SEO strategy can differ significantly between basic SEO and advanced SEO.
Here are a few data sources to consider:
Common data sources
Advanced data sources
Google Analytics
Customer Relationship Management (CRM) system for analyzing customer data
Google Search Console
Sales management software for analyzing sales data
SEO platforms like Ahrefs
Accounting software for income analysis
Internal product data
Don't think you can't create an advanced SEO strategy based only on the data sources on the left.
For example, with Ahrefs, you can use metrics like “Traffic Value Share” to see where your competitors are gaining market share.
Data analysis and forecasting results
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