diff --git a/work/smma/Ads_Manager.md b/work/smma/Ads_Manager.md
index 5316288..831ed55 100644
--- a/work/smma/Ads_Manager.md
+++ b/work/smma/Ads_Manager.md
@@ -149,4 +149,112 @@ By paying attention to how people react to our campaigns online, we can get a be
 
 Finally, we're embracing the power of testing. By trying out different versions of our creative ideas, we can see what truly resonates with our audience. This way, we're always improving, learning, and staying ahead of the curve.
 
-In short, all these steps mean that we can be more effective and confident in our creative work. We'll spend less time guessing and more time creating impactful, engaging campaigns that we know will connect with our audience.
\ No newline at end of file
+In short, all these steps mean that we can be more effective and confident in our creative work. We'll spend less time guessing and more time creating impactful, engaging campaigns that we know will connect with our audience.
+
+---
+
+Sure, let's delve into setting up a relational database for your analytical dashboard, focusing on data structure and schema that will effectively support storing and querying the data from email marketing platforms, web analytics tools, and advertising platforms.
+
+### Database Choice
+Let's proceed with **PostgreSQL** for this example due to its robustness, support for complex queries, and excellent handling of concurrent transactions, which might be useful as your data grows and the dashboard becomes more interactive.
+
+### Database Schema Design
+Here’s how you can structure your database to handle the different categories of data efficiently:
+
+#### 1. **Email Marketing Data**
+**Tables:**
+- **Campaigns**: Stores information about each campaign.
+- **Subscribers**: Contains subscriber details.
+- **Email_Events**: Tracks actions taken on each email sent (open, click, unsubscribe).
+
+**Schema:**
+- **Campaigns**
+  - campaign_id (PK)
+  - name
+  - start_date
+  - end_date
+  - total_emails_sent
+
+- **Subscribers**
+  - subscriber_id (PK)
+  - email
+  - signup_date
+  - status (active, unsubscribed)
+
+- **Email_Events**
+  - event_id (PK)
+  - subscriber_id (FK)
+  - campaign_id (FK)
+  - event_type (opened, clicked, bounced, unsubscribed)
+  - event_timestamp
+
+#### 2. **Web Analytics Data**
+**Tables:**
+- **Sessions**: Tracks each visitor session on the website.
+- **Pageviews**: Records views of each page.
+
+**Schema:**
+- **Sessions**
+  - session_id (PK)
+  - user_id (FK, nullable for non-logged in users)
+  - start_time
+  - end_time
+  - source (direct, search engine, referral, social media)
+
+- **Pageviews**
+  - pageview_id (PK)
+  - session_id (FK)
+  - page_url
+  - view_timestamp
+
+#### 3. **Advertising Data**
+**Tables:**
+- **Ad_Campaigns**: Information about each ad campaign.
+- **Ad_Events**: Tracks every interaction with the ads.
+
+**Schema:**
+- **Ad_Campaigns**
+  - campaign_id (PK)
+  - platform (Google, Facebook, etc.)
+  - start_date
+  - end_date
+  - budget
+  - spent
+
+- **Ad_Events**
+  - event_id (PK)
+  - campaign_id (FK)
+  - event_type (impression, click)
+  - event_timestamp
+  - cost
+  - conversion_flag (boolean)
+
+### Implementation Steps
+
+1. **Set Up PostgreSQL Database**: Install PostgreSQL and set up your database environment. Define users and access permissions.
+
+2. **Create Tables**: Use SQL commands to create the tables based on the schemas defined above. For instance:
+   ```sql
+   CREATE TABLE Campaigns (
+       campaign_id SERIAL PRIMARY KEY,
+       name VARCHAR(255),
+       start_date DATE,
+       end_date DATE,
+       total_emails_sent INT
+   );
+   ```
+
+3. **Establish Relationships**: Implement foreign keys to maintain the integrity of your data and facilitate complex queries across related tables.
+
+4. **Data Collection and Integration**: Develop Python scripts or use ETL tools to fetch data from various platforms via APIs and load it into the appropriate tables. For instance, you might write a script that retrieves data from Mailchimp's API and populates the Campaigns, Subscribers, and Email_Events tables.
+
+5. **Indexing for Performance**: Add indexes on frequently queried fields, such as `campaign_id`, `subscriber_id`, and `event_timestamp`, to improve query performance.
+
+6. **Regular Maintenance and Backups**: Set up regular backups and maintenance routines, including vacuuming and analyzing the database to ensure optimal performance.
+
+7. **Security**: Ensure that your database is securely configured, with encryption for data at rest and in transit, and access controls to limit who can view or modify data.
+
+### Visualization and Reporting
+Once your database is populated with data, you can connect it to a dashboard tool like Metabase, Redash, or a custom frontend application. You’ll be able to create visualizations, dashboards, and reports that leverage the structured data from your PostgreSQL database to provide insightful analytics to your users. 
+
+This setup will give you a scalable, robust system for managing and analyzing solo ads data, ensuring you can track, analyze, and report on campaign performance effectively.
\ No newline at end of file