# Gen Z Social Media Shopping Trends & Consumer Behavior
> Analyze how Instagram Reels, Stories, and influencer marketing impact Gen Z purchasing decisions through data-driven research and Python visualization.

Tags: social-media-trends, gen-z-marketing, consumer-behavior, e-commerce, instagram-reels, influencer-marketing, data-analysis
## Social Media Trends & Consumer Behavior
- Analyzes the influence of Reels and Feeds on youth purchasing decisions.
- Focuses on **Generation Z (Age 18-26)**.

## Research Scope & Data Collection
- Methodology: Structured survey dataset from college students.
- Metrics: Content preference, time spent, and conversion actions.
- Technical Stack: Data processed using **Python (Pandas & Plotly)** to create Sankey diagrams logic.

## Content Consumption Trends
- **Reels Dominance**: Short-form video is the primary discovery engine.
- Breakdown: Reels (45%), Feeds (35%), Stories (20%).

## Drivers of Purchase Decisions
- **Influencer & Peer Influence**: Combined, these drive over **70% of purchases**.
- Direct Brand Ads serve primarily as awareness tools rather than conversion triggers.

## The 'Save' Metric & Intent
- The **'Save' action** is the strongest predictor of purchase intent with an **85% conversion rate**.
- 'Liking' or 'Monitoring' rarely results in a transaction.

## Product Categories & Insights
- **Fashion (Clothing & Footwear)** dominates social commerce due to visual verification in short-form video.

## Key Conclusions
- Reels have overtaken static feeds for Gen Z discovery.
- High intent is signaled by the 'Save' feature.
- Buying decisions are heavily reliant on influencer validation over brand messaging.
---
This presentation was created with [Bobr AI](https://bobr.ai) — an AI presentation generator.