2. AGENDA
–
A rocket ship is born 🚀
–
Scaling success
–
From keywords to picture searches
–
Turning reviews trash into gold
–
How to get started
–
3. 1. Hunt for evidence
Leverage technology
advances
Follow Prof Richard
Feyman @ProfFeyman
4.
5. Maintain and increase the
current search traffic
Increase the search traffic that
results in sales
What kind of content works best
More content ideas
6. SEL DATA BLENDING ARTICLE
https://selnd.com/2EoPtdf
–
FROM DIGITAL OCEAN’S 2013
SEO AUDIT
–
51. How to use Python to
Analyze SEO Data
https://bit.ly/2UzUk0u
52.
53.
54.
55. SUMMARY
–
A rocket ship is born 🚀
–
Scaling success
–
From keywords to picture searches
–
Turning reviews trash into gold
–
How to get started
–
56. ABOUT RANKENSE
–
Free Realtime SEO Monitor
–
Ongoing monitoring with no active crawls
–
Receive alerts about critical SEO issues
–
Apply quick, temporary fixes in Cloudflare
–
Create developer tickets for permanent solutions
Apply for Your Invitation
www.ranksense.com
Notas do Editor
You can’t get there by just using excel.
Here is the data you’ll need:
Google Search Console: Linking page, Last crawled
Google Analytics: ga:date, ga:newUsers
Common columns (for the merge function): left_on: Last crawled, right_on: ga:date
You can plot traffic and links over time. Optionally, you can add a calculated domain column to the Search Console data table. This will allow you to plot linking domains by traffic.
1. Start with a simple task you need to do each day or week in Excel. For example, finding underperforming content by high volume keywords with no clicks in GSC
2. Break it down in steps: a) collecting GSC data manually b) analyzing it in excel c) visualizing your analysis in Data Studio or your favorite BI tool
3.Read my guide to #python for SEO data analysis and start from the resources if you are new to Python
4. Piece together your solution by stitching together code snippets from my guide, stack overflow, and examples in the standard documentation. Also, feel free to ask in stack overflow or by commenting on Github issues related to your problem.