Mode Integration

Mode Integration: Analytics Workspace Connector

Sync reports, SQL queries, and dashboard data from Mode Analytics. Migrate or backup your analytics workspace to any destination platform.

SOC 2 Type II
1,000+ Data Sources
Any Warehouse or BI Tool
A
Improvado Agent
Connected to Mode
Show me the top 5 dashboards by query volume this month and identify any performance bottlenecks.
Your most-used dashboards are Customer Cohort Analysis (2,847 queries), Revenue Attribution (2,103 queries), and Product Analytics (1,891 queries). The Revenue Attribution dashboard has 3 queries averaging 47 seconds — significantly above your 15s threshold.
Optimize those slow queries and set up monitoring to alert me if any dashboard query exceeds 30 seconds.
I've identified inefficient joins in the revenue_events table scan. Refactored queries now run in 12 seconds average. Alert configured for queries exceeding 30s runtime across all workspaces.
Trusted by data-driven teams
DockerOMDhimsillyMattelASUSActivision
1,000+
Integrations
200+
Mode Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
Improvado Key Takeaways

Automate marketing data connections to Mode

Improvado extracts marketing data from 500+ platforms and loads it into your Mode-connected data warehouse automatically. The platform handles API authentication and manages extraction schedules, ensuring your Mode reports always reflect current marketing performance. Data refreshes every hour without manual intervention, eliminating the need for custom scripts or manual CSV uploads. Mode analysts can focus on building insights rather than managing data pipelines.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the Mode API
15-minute refresh cycles Near real-time sync with 99.9% SLA uptime. No stale dashboards.
Cross-channel normalization Marketing CDM unifies your data with 1,000+ sources into one schema. No manual mapping.
Any warehouse or BI tool Snowflake, BigQuery, Redshift, Databricks, Power BI, Tableau, Looker Studio
AI Agent access via MCP Query, write, and monitor Mode through Claude, ChatGPT, Cursor, or any MCP client
Enterprise-grade security SOC 2 Type II, HIPAA, GDPR, CCPA. Raw data never leaves your environment.
OAuth setup in under 5 minutes No API keys, no code, no developer setup. Schema changes handled automatically.
Zero ongoing maintenance Pagination, rate limits, API versioning — all managed. Your team focuses on analysis.
How it works

From connection to autonomous action in three steps

1

Connect

Connect your Mode workspace using OAuth authentication. The agent accesses your reports, queries, and workspace metadata with read and write permissions based on your Mode user role.

2

Ask

Ask questions like 'Which reports are most frequently viewed by the executive team?' or 'Show me all queries hitting the customer_transactions table and their performance metrics.'

3

Act

The agent optimizes SQL queries by refactoring joins and filters, schedules report runs based on data freshness requirements, creates alerts for query performance degradation, and duplicates high-performing reports for new use cases.

Use Cases

What teams ask their AI agent about Mode

Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.

See how teams use Improvado →
A
Improvado Agent Analysis

Build Mode dashboards comparing performance across Google, Facebook, and LinkedIn campaigns

Your AI agent analyzes Mode data and delivers actionable insights — automatically, in seconds.

6 hrs → 20 min
A
Improvado Agent Cross-channel

Create automated Mode reports for weekly marketing performance reviews with all channels

Your AI agent analyzes Mode data and delivers actionable insights — automatically, in seconds.

Manual → auto
A
Improvado Agent Reporting

Develop Mode notebooks analyzing customer journey across multiple marketing touchpoints

Your AI agent analyzes Mode data and delivers actionable insights — automatically, in seconds.

8 hrs → 30 min
AI Agent Access

Your agent doesn't just read Mode — it acts on it

Read

The agent reads report metadata, query definitions, run history, execution times, workspace usage patterns, scheduled report configurations, and data source connections across your Mode organization.

Write

It writes optimized SQL queries, creates new reports and dashboards, configures scheduled runs, sets up performance alerts, manages report sharing permissions, and duplicates existing analyses for modified use cases.

Monitor

It monitors query execution times against performance thresholds, tracks dashboard usage patterns to identify underutilized reports, watches for failed scheduled runs, detects queries scanning large tables without indexes, and alerts on workspace storage limits.

Query, write, and monitor Mode through Claude, ChatGPT, Cursor, or any MCP client. Every action is logged and governed.

Claude ChatGPT Cursor Gemini Any MCP Client
Improvado Agent · Mode
You
Which Mode dashboards had the highest query volume last week?
A
Dashboard Usage
Dashboard Queries Run Avg Runtime
Customer Cohort Analysis 2,847 8.3s
Revenue Attribution 2,103 47.2s
Product Analytics 1,891 11.6s
Supply Chain Metrics 1,654 6.9s
Warehouse Inventory 1,432 14.1s
5 dashboards · 9,927 total queries · 17.6s avg runtime
You
Optimize the Revenue Attribution queries and set alerts for slow performance
A
Query optimization applied
Runtime reduced from 47s to 12s average
SOC
SOC 2 Type II Audited data management
H
HIPAA Healthcare compliance
EU
GDPR EU data protection
CA
CCPA California privacy
Compare

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 Mode 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.

FAQ

Frequently asked questions

How does Improvado work with Mode's data warehouse connections?
Improvado loads marketing data into your existing data warehouse (Snowflake, Redshift, BigQuery) that Mode already connects to. Your Mode setup remains unchanged while gaining access to normalized marketing data.
Can I use Improvado data in Mode SQL queries?
Yes, all Improvado data appears as standard tables in your data warehouse that Mode can query normally. You can join marketing data with existing business data using familiar SQL syntax.
What marketing platforms can I analyze in Mode through Improvado?
Improvado supports 500+ connectors including Google Ads, Facebook Ads, Salesforce, HubSpot, email platforms, and web analytics tools. All data flows into Mode-accessible tables automatically.
How often does marketing data update for Mode reports?
Marketing data refreshes every hour by default, with faster refresh options available for select platforms. Mode reports and dashboards automatically reflect the latest data without manual updates.
Can I create Mode alerts based on Improvado marketing data?
Absolutely, you can set up Mode alerts and notifications based on any marketing metrics provided by Improvado. This includes campaign performance thresholds, budget alerts, and conversion tracking.
Does Improvado affect Mode's performance or query speed?
No, Improvado optimizes data loading and table structures for analytical queries. Marketing data tables are indexed and organized to maintain fast Mode query performance even with large datasets.