Marketing

What’s in This Dataset This dataset provides 90 days of synthetic social media analytics data tailored for Instagram. Each record represents a day’s worth of metrics, resulting in 90 rows of structured data in CSV format. The dataset includes columns for daily impressions, reach, likes, comments, shares, follower growth, and engagement rate. These fields are all modeled to reflect realistic, varied patterns that mirror actual social media performance trends. Data points are consistent and clean, making it easy to load and analyze without preprocessing....

python social media automation tools can sometimes feel like a chore when you’re trying to generate realistic data for dashboards or testing. The manual process of creating fake metrics is not only time-consuming but also error-prone, especially when trying to simulate believable engagement patterns. This is where a dedicated python automation tool like the Social Media Metrics Faker can help. The Manual Way (And Why It Breaks) Generating fake social media metrics manually is a tedious task....

We just released Social Media Metrics Faker — generate realistic social media engagement data for testing and demos. What it does Creates fake social media metrics including likes, shares, comments, and followers with realistic patterns. Perfect for developers building social media dashboards, marketers creating mock reports, and testing analytics tools without real account access. Features Generate fake follower counts with realistic growth patterns Create authentic-looking engagement metrics (likes, comments, shares) Export data in CSV, JSON, or Excel formats Customizable platform selection (Instagram, Twitter, Facebook, TikTok) Configurable time ranges and metric distributions Usage python fake_metrics....

Creates fake social media metrics including likes, shares, comments, and followers with realistic patterns. Perfect for developers building social media dashboards, marketers creating mock reports, and testing analytics tools without real account access. Features Generate fake follower counts with realistic growth patterns Create authentic-looking engagement metrics (likes, comments, shares) Export data in CSV, JSON, or Excel formats Customizable platform selection (Instagram, Twitter, Facebook, TikTok) Configurable time ranges and metric distributions Usage python fake_metrics....