Social Media Analytics Platform
A Facebook API-based analytics pipeline turning page metrics and user comments into sentiment-driven strategy insights.
TL;DR: Engagement metrics alone tell you what happened; sentiment analysis on comments tells you why — combining both turns raw social activity into a usable strategy signal.
The Problem
The client had social media activity but no systematic way to read it — engagement metrics were tracked manually, and comment sentiment (positive, negative, mixed reactions to campaigns) was never quantified, leaving decisions about content strategy largely based on gut feel.
The Approach
I integrated with the Facebook API to automatically collect page and post metrics, replacing manual tracking. On top of the raw metrics, I ran sentiment analysis on user comments to quantify how audiences were reacting to specific posts and campaigns, turning free-text reactions into a structured signal that could be tracked over time.
Outcome
The client gained actionable, data-backed insight into what content resonated and how audience sentiment shifted with campaigns — informing social media strategy decisions that were previously made without any quantified feedback loop.
Key Takeaway
Design insight: Engagement metrics alone tell you what happened; sentiment analysis on comments tells you why — combining both turns raw social activity into a usable strategy signal.
FAQ
What is the key takeaway from "Social Media Analytics Platform"?
Engagement metrics alone tell you what happened; sentiment analysis on comments tells you why — combining both turns raw social activity into a usable strategy signal.
Who wrote this and what is it about?
This was written by Mahmoud Trigui, Senior Data Scientist. Facebook API integration for metrics collection and sentiment analysis on user comments, turning raw social activity into actionable strategy insights.