Instagram Digital Marketing
The "Instagram Digital Marketing" project is designed to assist digital marketers in optimizing their Instagram marketing strategies.
This project leverages Python, Apache Airflow, Google BigQuery, Facebook Graph API, containers, and Google Data Studio to provide valuable insights into Instagram stories, campaign performance, competitor analysis, user growth, and visualizes these insights in a comprehensive dashboard.
Key Requirements:
Views Cadence of Stories: The project enables the visualization of the views cadence of Instagram stories throughout their 24-hour lifetime. By retrieving story view data from the Facebook Graph API, marketers can analyze the engagement patterns of their stories over time.
Story Insights: The project provides insights into the performance of Instagram stories. Metrics such as reach, impressions, and engagement can be collected and analyzed to evaluate the effectiveness of story content and optimize future strategies.
Story Data Storage: To overcome the limitation of Facebook API's 24-hour data retention, the project includes a data storage component. It securely stores Instagram story data, allowing marketers to maintain a historical record for analysis and reporting purposes.
Campaign Insights: Marketers can gain valuable insights into their Instagram campaigns. The project integrates with Facebook Graph API to retrieve metrics like reach, impressions, engagement, and conversions, enabling comprehensive analysis and optimization of campaign performance.
Competitor Analysis: The project offers the capability to track and analyze the follower growth of main competitors. By leveraging the Facebook Graph API, marketers can monitor the growth of competitor's follower count, identify trends, and benchmark their own performance against competitors.
Dashboard on Google Data Studio: The project includes the development of a comprehensive dashboard using Google Data Studio. This dashboard brings together all the key insights, visualizations, and metrics from Instagram stories, campaign performance, and competitor analysis. It provides an interactive and user-friendly interface for marketers to monitor their Instagram marketing efforts.
Tools Used:
Python: The primary programming language for building data pipelines, retrieving data from APIs, and performing data analysis.
SQL (Structured Query Language): Used in conjunction with Google BigQuery to query and analyze large datasets efficiently.
Apache Airflow: A powerful workflow management platform used for scheduling, orchestrating, and monitoring data processing tasks.
Google BigQuery: A cloud-based data warehouse for storing and analyzing large datasets. It provides scalability and advanced querying capabilities, and SQL is utilized to interact with the data.
Facebook Graph API: Enables access to Instagram data, including stories, campaign metrics, and competitor information.
Containers: Containerization technology, such as Docker, was utilized for packaging the project's components, ensuring portability and ease of deployment.
By combining these tools and technologies, the "Instagram Digital Marketing" project empowers marketers to make data-driven decisions, optimize campaign performance, gain insights into Instagram stories, and monitor competitor activities, ultimately enhancing their digital marketing strategies on the platform.
Airflow Dashboard:
Google Data Studio Dashboard:
Follower Growth
Stories View
Stories Impressions
Top Stories by Impressions
Track Follower Growth of Main Competitors
Disclaimer:
The "Instagram Digital Marketing" project utilizes authorized data and public data sources for analysis and insights. The project ensures compliance with relevant data privacy and usage regulations. Please note that the project does not collect or utilize any unauthorized or private user data without explicit consent. The project focuses on providing general insights and performance metrics to aid marketers in optimizing their Instagram marketing strategies. It is the responsibility of users to adhere to applicable laws, terms of service, and data protection regulations while utilizing the project's insights and recommendations.