What's in the 90-Day Synthetic Social Media Analytics: A 90-Record CSV Dataset

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....

<span title='2026-03-21 09:36:53 +0000 UTC'>March 21, 2026</span>&nbsp;·&nbsp;OddShop

How to Create Fake Social Media Metrics with Python

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....

<span title='2026-03-20 19:35:10 +0000 UTC'>March 20, 2026</span>&nbsp;·&nbsp;OddShop