7 Data Analysis Tactics Every SEO Analyst Needs

7 Data Analysis Tactics Every SEO Analyst Needs

1) Striking-distance keywords

Target terms near page one (top 10) or on page one but below top 5. In GSC, focus on impressions + avg position; prioritize high-impression terms not yet in top spots, weighted by profitability.

2) Capture user interaction data

Use GTM to set internal/external click events to uncover keywords/themes driving conversions—filling gaps GA doesn’t show.

3) Hourly conversion trends

Export GA data to build weekday/hour pivot heatmaps; spot anomalous high-conversion slots and filter out campaign artifacts.

4) Brand vs. non-brand split

Automate Data Studio reports to track brand/non-brand trends and revenue impact; grow branded query strength.

5) Content gap analysis

Use Ahrefs Content Gap against competitors to find keywords they rank for and you don’t—fill those gaps.

6) Behavioral sequencing

In GA, sequence reports to see which pages assist transactions; expand keyword coverage around content that drives conversions.

7) Predictive search

Leverage Google autocomplete and long-tail Q&A; embed in content to boost PAA/FAQ visibility.

Conclusion: use creativity, data, and automation to focus on keywords and content that move revenue and conversions.