Myriam Jessier

There are 3 big types of trend analysis. 1. Time-Series Analysis: looks at data points over time. Historical data, cycles, seasonal variations, etc. This type of analysis is particularly useful in finance, economics, and sales forecasting. 2. Regression Analysis: explores the relationship between a dependent variable and one or more independent variables. It helps understand how variables interact with each other. It helps determine the impact of different factors on consumer behavior. 3. Comparative Analysis: also known as cross-sectional analysis, this approach compares different groups or categories at a specific point in time.

First of all, this answer won't start with leverage or whatever other tell tale AI written content sign we are used to. My advice is to get started with BigQuery: you get unlimited data compared to 24 and 16 months in GA4 and GSC respectively. You get to join the data, including Google Ads, CRM data, etc. Say hello to unsampled data analysis to understand how SEO impacts other channels and vice versa. Here's something you could look at: Organic-to-Paid Conversion Analysis: compare conversion rates of users who first discovered your site through organic search versus those who came through paid ads.

The biggest problem with SEO is that nobody cares until things get dire. Datastorytelling helps you overcome this inherent problem. Things are complex, so your insights you be tailored to your audience - this ensures they are paying attention. 1. Craft a clear narrative: hook them with the problem, support with data, and conclude with actionable recommendations. 2. Use simple, impactful visuals like bar charts and line graphs to make data understandable. 3. Focus on your core message, ensuring every data point supports it. Anticipate and address potential questions to build credibility. Effective data storytelling drives informed decisions and action. That's what communicating the data should mean for you.

Go with BigQuery to overcome some data limitations inherent to the Google Search Console interface. It will enable you to get a lot more insights.

Leverage trend analysis to identify consistent patterns despite increasing data discrepancies (GA4 & BigQuery for example). This may mean contextualizing your data with additional sources or developing custom metrics. Google makes up their own metrics, Semrush does too...so should you! Develop custom metrics aligned with business goals to derive actionable insights.

Nobody asked for my opinion but here it is: use frase.io. I can specify what the status is for the document, have a brief in there, the dude date, do research and writer as I go. It saves a lot of time.