Looker Data Integration — BI Metrics Centralized
Connect Looker and let AI agents query attribution models, ROI, and customer acquisition costs from your warehouse—no LookML required.
Connect marketing platforms to Looker
Improvado connects marketing data to Looker through your existing data warehouse—BigQuery, Snowflake, Redshift, or Azure. Extract campaign metrics from Facebook Ads, Google Ads, Salesforce, and 500+ other sources without building custom ETL pipelines. Data flows automatically into your warehouse, where Looker can model and visualize it immediately. Enterprise-grade security and compliance ensure your marketing data meets the same standards as your business intelligence infrastructure.
Standardized marketing data for LookML modeling
Improvado's Marketing Common Data Model (MCDM) delivers clean, consistent data that integrates seamlessly with LookML. All platforms use standardized field names, data types, and metric definitions, reducing modeling complexity. Build explores and dashboards that accurately compare performance across Facebook, Google, LinkedIn, and other platforms without custom transformation logic. The MCDM includes attribution modeling, customer journey data, and 500+ normalized marketing dimensions.
Data objects and fields Improvado extracts from Looker
| Object | Fields |
|---|---|
| Explores | explore_name model joins fields sql_table_name |
| Looks | look_id title query_id folder user_id created_at |
| Dashboards | dashboard_id title folder elements filters schedule |
| Queries | query_id model view fields filters limit runtime |
| Models | model_name project explores connection label |
From connection to autonomous action in three steps
Connect
Ask
Act
What teams ask their AI agent about Looker
Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.
Create unified marketing attribution models combining paid, organic, and offline touchpoints
Your AI agent analyzes Looker data and delivers actionable insights — automatically, in seconds.
Build executive dashboards showing ROI and ROAS across all marketing channels in Looker
Your AI agent analyzes Looker data and delivers actionable insights — automatically, in seconds.
Analyze customer acquisition costs and lifetime value by campaign, channel, and audience
Your AI agent analyzes Looker data and delivers actionable insights — automatically, in seconds.
Your agent doesn't just read Looker — it builds queries and explains trends
Read
Write
Monitor
The AI agent queries marketing attribution data, customer lifetime value, and ROAS across all channels stored in your warehouse. It can identify which touchpoints drive conversions, calculate incremental ROI by campaign, and correlate spend with revenue outcomes. Ask it to explain sudden changes in acquisition cost or predict budget needs based on historical patterns.
| Look Name | Avg Runtime | Load Impact |
|---|---|---|
| Freight Cost Analysis | 47.3s | +340% |
| Route Efficiency Trends | 38.1s | +215% |
| Carrier Performance Scorecard | 29.6s | +168% |
| Shipment Volume Breakdown | 22.4s | +124% |
| Delivery Time Distribution | 18.9s | +89% |
Send Looker data anywhere
Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.
- SOC 2 Type II
- Certified Security
- HIPAA
- Health Data Privacy
- GDPR
- EU Data Protection
- CCPA
- CA Privacy Standard
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 Looker 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 integrate with Looker's data warehouse setup?
Can I use Improvado data in existing Looker models?
Does Improvado support Looker's data governance features?
How does the Marketing Common Data Model work with LookML?
Can I customize Improvado's data transformation for Looker?
What's the refresh frequency for marketing data in Looker?
“Improvado saves about 90 hours per week and allows us to focus on data analysis rather than routine data aggregation, normalization, and formatting.”
“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 Looker today
Connect in under 5 minutes. Your agent starts reading, acting, and monitoring immediately.