Simple predictions

[jahid12]

It's used to make basic predictions about data evolution. canada phone number list It allows you to anticipate the future and prepare for potential changes in your business. It primarily builds on the previous two approaches to estimate a future based on the patterns already detected.
Results : Helps anticipate immediate business developments and make more strategic decisions.
Dimensions and metrics : We use the metrics we want to predict (traffic, sales, conversions, etc.) and analyze trends over time, looking for patterns that allow us to make projections.
Example : Project website traffic growth for the coming months based on the growth trend of recent years.
Other trend analysis – descriptive
Analysis of the volatility of metrics.
Analysis of external events.
Comparative Trend Analysis (ACT)
10. Peak and valley analysis
It allows us to investigate fluctuations in metrics over time and identify moments when the data drastically deviates from the pattern. Through this detection, we address the causes that lead to these spikes (large, abrupt increases in data) and valleys (large decreases).
Results : Helps to understand the factors that influence business performance and detect potential problems or opportunities.
Dimensions and metrics : We use the metrics we want to analyze (traffic, sales, conversions, etc.) and analyze trends over time, identifying points with maximum and minimum values ​​and the moments in which these have been exceeded.
Example : Investigate a spike in website traffic to identify whether it's due to a marketing campaign, a social media mention, or some other factor. Draw replication cases from this analysis.
11. Breakpoint detection
It is used to identify points in time where significant changes in trends occur. It allows you to detect the exact moment when business performance begins to change.
Results : It helps to identify key moments in the evolution of the business and understand the causes that have led to these changes (which is almost always an insight in itself).
Dimensions and metrics : We use the metrics we want to analyze (traffic, sales, conversions, etc.) and analyze trends over time, looking for sudden changes in the slope of the curve.
Example : Analyze the evolution of website traffic over the last year to identify when the blog's SEO traffic began to grow at a faster rate.