Added geotargets from fixed google download

VIEWS_SUMMARY.md

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+# Database Views Summary
+
+## Overview
+Updated the public schema with new views to make advertising analytics data from Meta, Google, and combined sources more accessible.
+
+## Changes Made
+
+### 1. Adapted `explore_schemas.py` Script
+- Modified to save schema exploration output to `schema_info.txt`
+- Provides persistent reference for table structures across meta, google, and alpinebits schemas
+- Usage: `uv run explore_schemas.py`
+
+### 2. New Views Added
+
+#### **account_insights_by_country** ✓
+- Aggregates Meta campaign insights by country to account level
+- **Columns**: time, account_id, country, impressions, clicks, spend, link_click, landing_page_view, lead
+- **Purpose**: Analyze Meta advertising performance by geographic region
+- **Source**: meta.custom_campaign_country
+
+#### **g_campaign_insights** ✓
+- Google campaign-level insights with calculated performance metrics
+- **Columns**: time, campaign_id, campaign_name, clicks, impressions, interactions, cost_micros, cost, conversions, all_conversions, conversions_value, ctr, cpm, cpc, cost_per_conversion
+- **Purpose**: Unified Google campaign performance view with key metrics (CTR, CPM, CPC, Cost per Conversion)
+- **Source**: google.campaign_metrics
+
+#### **unified_account_insights_by_device** ✓
+- Combines Meta and Google account insights broken down by device type
+- **Columns**: time, google_account_id, meta_account_id, device, google_impressions, meta_impressions, total_impressions, google_clicks, meta_clicks, total_clicks, google_cost, meta_spend, total_spend, meta_link_clicks, meta_leads
+- **Purpose**: Compare Meta vs Google performance by device (DESKTOP, MOBILE, TABLET)
+- **Requires**: account_metadata table for linking Meta and Google accounts
+
+#### **unified_account_insights_by_gender** ✓
+- Meta audience insights broken down by gender
+- **Columns**: time, meta_account_id, gender, impressions, clicks, spend, link_clicks, leads
+- **Purpose**: Analyze Meta advertising performance by audience gender demographics
+- **Source**: meta account_insights_by_gender
+
+### 3. Existing Views (Not Modified)
+The following views were already present and working correctly:
+- **campaign_insights** - Base Meta campaign insights
+- **campaign_insights_by_gender/age/device/country** - Meta campaign breakdowns
+- **account_insights** - Aggregated Meta account insights
+- **account_insights_by_gender/age/device/gender_and_age** - Meta account breakdowns
+- **ads_insights** (materialized) - Individual ad performance
+- **adset_insights** - Ad set level insights
+- **g_account_insights** - Google account-level insights
+- **g_account_insights_device** - Google account insights by device
+- **unified_account_insights** - Combined Meta+Google account-level view
+
+## Testing
+All views have been tested and verified to:
+- Execute without errors
+- Return valid data with correct column structures
+- Support LIMIT queries for performance verification
+
+## Usage Examples
+
+```sql
+-- View Meta performance by country
+SELECT time, country, SUM(impressions), SUM(spend), SUM(lead)
+FROM account_insights_by_country
+WHERE account_id = '1416908162571377'
+GROUP BY time, country;
+
+-- View Google campaign metrics
+SELECT time, campaign_name, clicks, impressions, cpc, cpm
+FROM g_campaign_insights
+WHERE ctr > 2.0
+ORDER BY time DESC
+LIMIT 10;
+
+-- Compare device performance across Meta and Google
+SELECT time, device, total_impressions, total_clicks, total_spend
+FROM unified_account_insights_by_device
+ORDER BY time DESC;
+
+-- Analyze Meta audience by gender
+SELECT time, gender, impressions, clicks, spend, leads
+FROM unified_account_insights_by_gender
+WHERE time > CURRENT_DATE - INTERVAL '30 days'
+ORDER BY time, gender;
+```
+
+## Next Steps
+- Set up automated refreshes for materialized views if needed
+- Create additional unified views for campaign-level comparisons
+- Consider indexing frequently queried views for performance optimization