Social Media Marketing Power BI Report
Requirement Document for Social Media Marketing Power BI Report
1. Introduction
The Power BI Social Media Marketing Report provides an in-depth analysis of social media performance across various platforms. This report helps marketing teams track key performance indicators (KPIs), understand audience engagement, and optimize content strategies based on data-driven insights.
2. Objective
The primary objective of this dashboard is to enable marketers to:
- Monitor social media reach, engagement, and conversions.
- Track the effectiveness of campaigns across different social media platforms.
- Analyze trending content and audience behavior.
- Optimize advertising spend based on ROI and performance metrics.
- Improve influencer and brand engagement strategies.
3. Dashboard Components
3.1 Key Metrics Overview
Displays the overall performance of social media marketing efforts, including:
- Total Followers (growth trend)
- Engagement Rate (likes, shares, comments, interactions)
- Reach & Impressions
- Click-Through Rate (CTR)
- Conversion Rate & ROI
- Best Performing Content
3.2 Social Media Platform Breakdown
Analyzes engagement metrics by platform:
- Facebook: Page Likes, Post Reach, Engagement Rate, Ad Performance
- Instagram: Followers, Story Views, Reels Engagement, Hashtag Impact
- Twitter/X: Retweets, Mentions, Follower Growth, Trending Hashtags
- LinkedIn: Post Impressions, Clicks, InMail Effectiveness
- YouTube: Watch Time, Video Shares, Subscriber Growth
- TikTok: Video Views, Duet Participation, Engagement Rate
3.3 Social Media Trends & Insights
- Current Social Media Usage Statistics
- Platform Growth & Engagement Trends
- User-Generated Content (UGC) Performance
- Emerging Trends like AR, VR, Ephemeral Content
3.4 Campaign Performance Analysis
- Ad Spend vs. Revenue Generated
- Engagement Comparison by Campaign
- Customer Demographics & Behavioral Insights
- Influencer Marketing ROI
3.5 Competitive Benchmarking
- Comparative Analysis with Industry Leaders
- Competitor Engagement Metrics
- Hashtag & Keyword Performance Analysis
3.6 Content Strategy Optimization
- Best Performing Content Types (Videos, Images, Text, Polls, etc.)
- Optimal Posting Times & Frequency
- Audience Interaction Patterns & Feedback
- A/B Testing Insights & Content Adjustments
4. Data Sources & Integration
- Social Media APIs (Facebook Insights, Twitter Analytics, LinkedIn Analytics, Instagram Insights, YouTube Analytics, TikTok Business Suite)
- Google Analytics for website tracking
- Campaign performance data from Ad Platforms
- CRM and sales data for conversion tracking
- Influencer Marketing Reports
5. Functional Requirements
5.1 Interactive Features
- Dynamic filtering for platform-specific analysis
- Drill-down functionality into campaign & engagement details
- Custom date range selection for trend analysis
5.2 Data Comparisons & Insights
- Month-over-Month & Year-over-Year Growth Comparisons
- Sentiment Analysis for Brand Mentions
- Correlation Analysis of Ad Spend vs. Engagement
5.3 Export & Sharing
- Export reports in PDF, Excel, and PowerPoint formats
- Automated scheduled reports for teams
- Integration with Power BI Service for cloud-based access
5.4 Security & Access Control
- Role-based access control (RBAC) for data visibility
- Privacy compliance features (GDPR, CCPA) for handling user data
6. Project Completion Method
6.1 Data Extraction & Processing (SQL Queries)
- Extract engagement, follower growth, and ad performance data from APIs
- Aggregate cross-platform performance metrics
- Example Query:
SELECT Platform, PostType, EngagementRate, Reach, Clicks, Conversions FROM SocialMediaData WHERE Date BETWEEN '2024-01-01' AND '2024-12-31';
6.2 Power Query (ETL Process)
- Data Cleaning: Handle missing values, remove duplicates.
- Data Transformation: Standardize engagement metrics across platforms.
- Automated Refresh: Schedule data updates for real-time analytics.
6.3 DAX Calculations
- Key Metrics Formulas:
Engagement Rate = SUM(Engagements) / SUM(Impressions) ROI = (Total Revenue - Ad Spend) / Ad Spend Follower Growth = (Current Followers - Previous Followers) / Previous Followers
7. Expected Outcomes
- Enhanced data-driven marketing strategies
- Improved ad spend efficiency & ROI tracking
- Better audience engagement through content optimization
- Competitive advantage through trend forecasting & benchmarking
- Streamlined reporting with automated data refresh & visualization
8. Conclusion
The Power BI Social Media Marketing Report serves as a comprehensive tool for marketing teams to monitor, analyze, and improve social media performance. The report provides interactive insights into social trends, content effectiveness, and audience engagement, helping businesses make data-backed marketing decisions efficiently.
Sample social media data file for Power BI analysis:
📂 Download Sample Social Media Data
This dataset includes Post ID, Platform, Post Type, Engagement Rate, Reach, Clicks, Conversions, Ad Spend, ROI, and Post Date.