Website Traffic Behavior Analysis
Budget: $2 – $8 USD
I have a complete export of my website analytics and need a data-savvy partner to turn those numbers into a clear story. The sole focus is web traffic: no sales or survey figures are involved. I want to surface user-behavior patterns so I can see exactly how visitors flow through the site and what they do once they land.
More specifically, I need insight on:
• Page views and navigation paths — where users enter, where they drop, and the common journeys in between
• Interactions with elements (clicks, scrolls) — which buttons, links, or sections grab attention and which are ignored
Raw data can be delivered in GA4, server logs, or CSV form; you pick the environment you feel most comfortable in (Python, R, SQL, BigQuery, or a BI tool such as Tableau, Power BI, or Looker Studio). I expect you to handle cleaning and modeling, run the exploratory analysis, and wrap up with a concise report or dashboard that highlights the key findings along with action-oriented recommendations.
Acceptance criteria
• Reproducible code/notebook or documented query set
• Visualization or dashboard that a non-technical stakeholder can read at a glance
• Executive summary outlining the top behavior patterns and at least three optimization suggestions
If you have experience uncovering user journeys and micro-interactions from web analytics, I’d love to see how you would approach this.
More specifically, I need insight on:
• Page views and navigation paths — where users enter, where they drop, and the common journeys in between
• Interactions with elements (clicks, scrolls) — which buttons, links, or sections grab attention and which are ignored
Raw data can be delivered in GA4, server logs, or CSV form; you pick the environment you feel most comfortable in (Python, R, SQL, BigQuery, or a BI tool such as Tableau, Power BI, or Looker Studio). I expect you to handle cleaning and modeling, run the exploratory analysis, and wrap up with a concise report or dashboard that highlights the key findings along with action-oriented recommendations.
Acceptance criteria
• Reproducible code/notebook or documented query set
• Visualization or dashboard that a non-technical stakeholder can read at a glance
• Executive summary outlining the top behavior patterns and at least three optimization suggestions
If you have experience uncovering user journeys and micro-interactions from web analytics, I’d love to see how you would approach this.