From 44b3fbe6ce14cf7496eb7be467408c7f9ff558de Mon Sep 17 00:00:00 2001 From: medusa Date: Wed, 1 May 2024 03:38:03 +0000 Subject: [PATCH] Update work/smma/Ads_Manager.md --- work/smma/Ads_Manager.md | 68 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 68 insertions(+) diff --git a/work/smma/Ads_Manager.md b/work/smma/Ads_Manager.md index fc9a8a7..5316288 100644 --- a/work/smma/Ads_Manager.md +++ b/work/smma/Ads_Manager.md @@ -1,3 +1,71 @@ +Focusing on the "crawl" phase for developing an analytical dashboard for a solo ads manager, we'll start by identifying the essential data you need to track from each platform, considering the best way to store this information and outlining the initial steps to set up a straightforward, scalable system. + +### 1. **Data to Track** + +Here are the key data points you should track from each type of platform: + +- **Email Marketing Platforms** (e.g., Mailchimp, AWeber): + - Subscriber count + - Email open rates + - Click-through rates (CTR) + - Conversion rates + - Bounce rates + - Unsubscribe rates + +- **Web Analytics Tools** (e.g., Google Analytics): + - Number of sessions + - Duration of sessions + - Pages per session + - Bounce rate + - Source of traffic + - Conversions and goals completion + +- **Advertising Platforms** (e.g., Facebook Ads, Google Ads): + - Impressions + - Clicks + - CTR + - Cost per click (CPC) + - Total spend + - Conversions from ads + - ROI + +### 2. **Data Storage** + +- **Choice of Database**: Start with a relational database like PostgreSQL or MySQL. These are robust, support ACID properties, and are excellent for structured data with relationships, like user information and transactional data. + +- **Data Structure**: Create tables corresponding to each data type: + - **Email Marketing Data**: Tables for subscribers, campaigns, opens, clicks, and other metrics. + - **Web Analytics Data**: User sessions, page views, user behavior, conversion tracking. + - **Advertising Data**: Campaign performance, cost metrics, conversion data. + +- **Ephemeral vs. Persistent Data**: + - **Persistent Storage**: All the metrics listed should be stored persistently as they provide historical insights and trends over time, which are crucial for strategic decision-making. + - **Ephemeral Data**: Real-time data like current session activities might be held temporarily in faster storage solutions like Redis for immediate processing but should eventually be moved to persistent storage for historical analysis. + +### 3. **Data Collection** + +- **APIs**: Utilize APIs provided by each platform for automated data fetching. Most platforms offer RESTful APIs that return data in JSON format, which you can directly ingest into your database. + +- **Automation Scripting**: Use Python scripts scheduled with cron jobs (on Linux) to periodically fetch data and update your database. This ensures your dashboard reflects updated information without manual intervention. + +### 4. **Forward-Looking Considerations** + +- **Scalability**: As your needs grow, you might need to scale your database or move to more scalable solutions like cloud-based databases (AWS RDS, Google Cloud SQL) or even NoSQL databases if the data structure becomes more varied. + +- **Security**: Start with basic security measures like encrypted connections (using SSL/TLS for database connections and HTTPS for your dashboard), strong authentication mechanisms for the dashboard, and secure API keys management. + +- **Integration Flexibility**: Design your database schema and your data collection scripts in a way that allows easy integration of new data sources and types as your dashboard evolves. + +### 5. **Simple Dashboard Development** + +- **Tool Choice**: Use simple dashboarding tools like Metabase or Redash initially. These tools can connect directly to your SQL database and allow you to quickly set up visualizations and reports without extensive frontend development. + +- **Basic Visualizations**: Start with simple charts and graphs to display the key metrics like CTR, conversion rates, session data, etc. These tools also allow easy filtering and drill-down capabilities which are crucial for a dynamic analysis. + +By starting with this foundational setup, you establish a robust base for your analytical needs while keeping the system simple and scalable. This approach allows you to focus on essential metrics and provides a clear path for expanding functionalities as your business needs grow. + +--- + Introduction Understanding the Google Ads formula "max CPC bid times quality score equals ad rank" is crucial for any Social Media Marketing Agency (SMMA) specializing in ad management. This formula determines the position of ads on the search engine results pages (SERPs) and greatly influences the success and cost-effectiveness of ad campaigns. This comprehensive guide will delve into the key aspects of the formula, providing a solid reference for optimizing ad management strategies.