How to compare Spam scores quarter to quarter

[Studio210]

I would like to see how the SEO amends that I have been making have reduced my Spam score in Moz Pro. Can you let me know if this is possible and, if so, where I would go get this?

[rightangledev]

To compare spam scores quarterly, collect data from each quarter's spam reports, analyze spam volume trends, and evaluate changes in spam characteristics. Use statistical tools to quantify variation and identify patterns. This helps you evaluate spam mitigation strategies over time.

[mepcobillonline]

how can i check spam sscore for my mepco bill check site. is it effect the site seo

[instaree]

Can someone tell me how to increase Page Authority of my page https://findanybill.com/sui-gas-bill/

[ehishab]

Gather Data: Collect the spam scores for each quarter that you want to compare. Ensure that you have the spam scores for the same time duration in each quarter. For example, if you are comparing Q1 of 2022 to Q1 of 2023, make sure you have the spam scores for January, February, and March of both years.

Calculate Average Score: Calculate the average spam score for each quarter. Add up all the individual spam scores for the quarter and divide the sum by the total number of spam scores. This will give you the average spam score for each quarter.

Normalize Scores: To make the comparison more meaningful, you can normalize the spam scores. Normalize the scores by dividing each score by the maximum possible score or by scaling them to a specific range (e.g., 0 to 100). This will help in removing any discrepancies due to different scales or maximum values.

Visualize the Comparison: Plot a line graph or a bar graph to visualize the comparison of spam scores quarter to quarter. Label the x-axis with the quarters (e.g., Q1 2022, Q2 2022, etc.) and the y-axis with the normalized or average spam scores. You can use a different color for each quarter to make it easier to distinguish between them.

Analyze the Trends: Analyze the graph to identify any trends or patterns in the spam scores over the quarters. Look for any significant increases or decreases in the scores and note any outliers or anomalies. This analysis will help you understand the changes in spam activity over time.

Draw Conclusions: Based on the trends and patterns you observe, draw conclusions about the effectiveness of spam prevention measures or any other factors that might be influencing the spam scores. Identify any quarter-to-quarter improvements or areas that require further attention.

[Kateparish]

Here are the steps you might take:

Record Initial Spam Scores: Use Moz's Link Explorer tool or API to record the spam scores of the domains you're interested in. Make sure to do this at the end of the quarter to ensure that your data aligns with your quarterly comparisons.

Organize Your Data: Put your data in a spreadsheet, such as Google Sheets or Microsoft Excel, where you can easily compare the scores. Each domain should have its own row, and each column should represent a quarter.

Record Spam Scores Each Quarter: At the end of each quarter, repeat step 1 and add the new scores to your spreadsheet.

Analyze the Data: With this setup, you can easily see how each domain's spam score has changed from quarter to quarter. You can calculate the change in percentage and observe the trends.

Visualize the Data: To further understand and present the data, you might choose to create graphs or charts that show the changes over time. This can help you spot trends and patterns that might not be immediately obvious from the raw data.

[askusedu]

@Studio210 i found this relevant thread where @TimKDM was able to get assistance from MOZ team with cost.