medusa/the_information_nexus
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update work/smma/Ads_Manager.md

Browse Source
This commit is contained in:
medusa
2024-05-01 04:17:31 +00:00
parent 059c490d25
commit 61b6e0aab4
1 changed files with 58 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

58
work/smma/Ads_Manager.md
View File

@@ -1,3 +1,61 @@
To better define, capture, and report on the metrics from email marketing platforms, web analytics tools, and advertising platforms, it’s crucial to establish a clear schema and methodology for each data category. Here’s a detailed approach:
### 1. **Email Marketing Platforms (Mailchimp, AWeber)**
**Metrics:**
- **Subscriber Count**: Total number of subscribers in the mailing list at any given time.
- **Open Rates**: Percentage of recipients who open a given email.
- **Click-Through Rates (CTR)**: Percentage of recipients who clicked on at least one link within the email.
- **Conversion Rates**: Percentage of recipients who completed a desired action (like making a purchase or signing up for an event) after clicking a link in the email.
- **Bounce Rates**: Percentage of emails that could not be delivered to the recipient's inbox.
- **Unsubscribe Rates**: Percentage of recipients who opted out of the mailing list after receiving an email.
**Data Collection:**
- Utilize API endpoints provided by platforms like Mailchimp and AWeber to extract data regularly.
- Store this data in structured tables:
- **Subscribers**: Store subscriber details and status (active, unsubscribed).
- **Email Campaigns**: Record details of each campaign, including sends, opens, clicks, bounces, and unsubscribes.
### 2. **Web Analytics Tools (Google Analytics)**
**Metrics:**
- **Number of Sessions**: Total sessions within a given time frame.
- **Session Duration**: Average length of a session.
- **Pages per Session**: Average number of pages viewed during a session.
- **Bounce Rate**: Percentage of single-page visits (or web visits in which the person left the site from the entrance page).
- **Traffic Sources**: Origins of traffic, such as direct visits, search engines, or referral sites.
- **Goal Completions**: Number of times visitors completed specific actions defined as goals.
**Data Collection:**
- Use Google Analytics API to pull data regularly into the database.
- Structure data capture:
- **User Sessions**: Capture each session’s start and end, pages visited, source, and whether a goal was completed.
### 3. **Advertising Platforms (Facebook Ads, Google Ads)**
**Metrics:**
- **Impressions**: Number of times an ad is viewed.
- **Clicks**: Total clicks on the ad.
- **Click-Through Rate (CTR)**: Measures the effectiveness of an advertisement per impression (clicks divided by impressions).
- **Cost per Click (CPC)**: The cost incurred for each click on an ad.
- **Total Spend**: Total expenditure on the campaign.
- **Conversions**: Number of times actions are taken that the ad intends to provoke.
- **Return on Investment (ROI)**: Profitability measure that compares the profit made from ads relative to their cost.
**Data Collection:**
- Integrate with advertising platforms via their respective APIs.
- Maintain records in a structured format:
- **Ad Campaigns**: Track each campaign's spend, impressions, clicks, conversions, and calculated metrics like CTR and ROI.
### Reporting and Visualization
**Implementations:**
- **Dashboards**: Use tools like Tableau, Power BI, or custom dashboards built on frameworks like Django or Flask to visualize the data.
- **Scheduled Reports**: Automate the generation of reports through these tools, providing daily, weekly, or monthly insights.
- **Real-time Alerts**: Set up alerts for significant changes or milestones in key metrics (like high bounce rates or budget thresholds).
### Conclusion
Defining these metrics clearly and setting up systematic data collection and reporting mechanisms will allow you to maintain a pulse on your digital marketing efforts effectively. By visualizing these metrics in an integrated dashboard, you can gain actionable insights, enabling quick decision-making and strategic adjustments in real-time.
---
To develop a comprehensive and efficient analytical dashboard for a solo ads manager, the following structured approach will ensure that the dashboard is scalable, secure, and capable of delivering actionable insights. Here's an abstracted summary of the process, organized into key sections with relevant details and context:
### 1. **Data Identification and Tracking**