Aggregating your GSC data by month makes it much easier to analyze the data, reduces noise and glitches and helps you spot patterns, improvements and declines.

You can clearly see whether SEO changes had a positive or negative impact.

Instead of tracking single keywords, you can slice your data by important queries, e.g. Product, Brands or Services with Filters.

This aggregation helps you to better track changes and focus on important parts of your business.

Grouping pages shows URL performance for different areas of your website. You can analyze sections like language folders, blogs or help sections.

The winners and losers lists shows queries and pages with the strongest gains or losses.  

You can analyze changes month over month or year over year.

All views can be sorted by clicks, impressions, CTR or average position. This lets you analyze performance from different perspectives.

You can uncover impression-heavy queries or early ranking improvements.

It also helps identify emerging opportunities like AI Overview queries.

Separate branded from non-branded search queries to measure real SEO performance without distortion from brand, PR, or offline effects.

Example: Branded queries increase after a PR campaign or product launch, even though no SEO changes were made —separating them prevents this growth from being mistaken for SEO success.

Create filtered query groups or topic clusters and compare their SEO performance side by side to understand which themes, topics, or keyword groups perform best.