Redash + Improvado: Query Results Automated
Connect Redash and let AI agents write SQL queries, compare channel performance, and analyze marketing ROI from 500+ platforms.
Key Takeaways Automate Redash marketing data connections
Improvado extracts data from Google Ads, Facebook, Salesforce, and 500+ marketing platforms, then loads it into your Redash data warehouse. Configure once and receive automated updates on your schedule - no manual exports or API management required. Your data team can focus on building queries and dashboards instead of maintaining fragile data pipelines. Fresh marketing metrics flow into Redash tables ready for SQL analysis.
Standardized marketing data for SQL analysis
The Marketing Common Data Model (MCDM) transforms disparate platform data into consistent database schemas within Redash. Campaign costs, impressions, and conversion metrics use identical field names whether sourced from Google, Facebook, or LinkedIn. SQL queries work seamlessly across platforms without complex joins or data type conversions. Analysts write cleaner queries and build more reliable dashboards when all marketing data follows the same structure.
Data objects and fields Improvado extracts from Redash
| Object | Fields |
|---|---|
| Dashboard | dashboard_id name charts projects metadata |
| Chart | chart_id query visualization project status |
| Data Source | source_id type host port connection_details |
| Query | query_id sql parameters schedule results |
From connection to autonomous action in three steps
Connect
Connect your Redash instance via API key with read and write permissions. The agent accesses query definitions, execution logs, dashboard configurations, and data source connections to monitor performance and manage resources.
Ask
Ask questions like 'which dashboards haven't been viewed in 30 days' or 'show me all queries hitting the production database directly' or 'what's the failure rate for scheduled queries this week.'
Act
The agent optimizes query performance by suggesting indexes, archives unused dashboards, adjusts refresh schedules based on usage patterns, creates alerts for slow queries, and updates data source connections when credentials rotate.
What teams ask their AI agent about Redash
Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.
Build SQL queries comparing Google Ads and Facebook performance with standardized metrics
Your AI agent analyzes Redash data and delivers actionable insights — automatically, in seconds.
Create automated marketing ROI reports combining CRM and advertising platform data
Your AI agent analyzes Redash data and delivers actionable insights — automatically, in seconds.
Analyze customer acquisition costs across channels using unified attribution data
Your AI agent analyzes Redash data and delivers actionable insights — automatically, in seconds.
Your agent doesn't just read Redash — it writes queries and finds insights
Read
The agent reads query execution logs, runtime statistics, dashboard view counts, data source configurations, user access patterns, scheduled refresh status, query result cache hit rates, and API usage metrics across your Redash instance.
Write
The agent creates and modifies queries, updates dashboard layouts, adjusts refresh schedules, configures alert conditions, manages data source connections, archives inactive content, applies query optimizations, and sets resource limits for expensive operations.
Monitor
The agent monitors query execution times for performance degradation, tracks dashboard usage to identify abandoned reports, watches for failed scheduled refreshes, detects unauthorized data source access, alerts on cache miss rate increases, and flags queries approaching database resource limits.
The AI agent writes SQL to query Google Ads, Facebook, and Salesforce data in your Redash warehouse. It compares standardized metrics across channels, calculates customer acquisition costs, and identifies attribution patterns. The agent monitors automated reports for performance changes and generates queries to investigate conversion rate drops or budget efficiency shifts across campaigns.
| Query Name | Avg Runtime | CPU Impact |
|---|---|---|
| Daily Revenue by Region | 18.4s | +340% vs baseline |
| Customer Cohort Analysis | 12.7s | +215% vs baseline |
| Inventory Turnover Report | 9.3s | +180% vs baseline |
| Supplier Performance Metrics | 7.8s | +145% vs baseline |
| Warehouse Capacity Trends | 6.2s | +120% vs baseline |
Send Redash data anywhere
Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.
They extract data. Improvado deploys an agent.
Traditional tools move data from A to B. Improvado gives you an AI agent that reads, acts, and monitors — with Redash as one of 1,000+ integrated sources.
| Feature | Improvado | Supermetrics | Funnel.io | Fivetran |
|---|---|---|---|---|
| Data fields extracted | 200+ | ~90 | ~120 | ~80 |
| Total integrations | 1,000+ | ~150 | ~500 | ~300 |
| Cross-channel normalization (CDM) | ✓ Built-in | ✗ Manual | ● Basic mapping | ✗ Raw only |
| AI Agent access (MCP) | ✓ Read, Write, Monitor | ✗ | ✗ | ✗ |
| Data warehouse destinations | ✓ 16+ warehouses & BI tools | Sheets, Looker, BigQuery | BigQuery, Snowflake, Redshift | ✓ Broad warehouse support |
| Refresh frequency | Every 15 min | Scheduled triggers | Daily / 6hr | Every 15 min (premium) |
| SOC 2 Type II & HIPAA | ✓ | ✗ SOC 2 only | ✓ SOC 2 | ✓ |
| Best for | Teams that want an AI agent, not a pipeline | Small teams, spreadsheets | Mid-market, data teams | Engineering-led ELT pipelines |
Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.
Frequently asked questions
How does Improvado load data into Redash?
Can I write custom SQL queries on Improvado data in Redash?
What database types does Improvado support with Redash?
How are marketing metrics standardized across platforms?
Can I schedule automated dashboard refreshes in Redash?
Does Improvado handle historical marketing data for Redash?
"Improvado saves about 90 hours per week and allows us to focus on data analysis."
"Improvado's reporting tool effortlessly integrates all our marketing data so we can easily track users across their entire digital journey. This saves me and my team countless hours."
Put an AI agent on your Redash today
Connect in under 5 minutes. Your agent starts reading, acting, and monitoring immediately.