Heroku Integration

Integrate Heroku — App Performance Monitored

Connect Heroku and let AI agents query app performance metrics, user activity data, and system logs alongside marketing campaign data.

SOC 2 Type II
1,000+ Data Sources
Any Warehouse or BI Tool
A
Improvado Agent
Connected to Heroku
Show me current dyno usage and response times across all production apps.
Your production environment is running 47 dynos across 12 apps. Average response time is 182ms, with postgres-primary at 94% connection capacity.
Scale the API service to 8 web dynos and add 2 worker dynos for the queue processor.
Scaled ecommerce-api to 8 web dynos and queue-processor to 2 worker dynos. Deployment complete in 43 seconds. New capacity: 800 concurrent requests.
Trusted by data-driven teams
DockerOMDhimsillyMattelASUSActivision
1,000+
Integrations
200+
Heroku Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
Improvado Key Takeaways

Connect Heroku with automated integration

Improvado connects to Heroku APIs and database add-ons to extract application performance metrics, user activity data, and system logs automatically. The platform pulls data from Heroku Postgres, Redis, and monitoring add-ons on scheduled intervals, eliminating manual database dumps and CSV exports. Your Heroku application data flows directly into BigQuery, Snowflake, or visualization tools like Tableau. Automated data pipelines ensure your analytics reflect real-time application performance and user behavior without impacting production systems.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the Heroku 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 Heroku 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.
Integration Details

Unified application data across platforms

Improvado normalizes Heroku data using the Marketing Common Data Model (MCDM), creating consistent user behavior and performance metrics across all your applications and marketing platforms. This standardization enables comprehensive funnel analysis by combining Heroku user data with marketing campaign performance from Google Ads, Facebook, and other channels. Cross-platform attribution becomes possible when application data follows the same structure as marketing data. Teams can track user journeys from ad click through in-app conversion without spending weeks reconciling different data schemas.

Heroku Connect API · [VERIFY]OAuth 2.0 · sub-minute sync · incremental
Schema Overview

Data objects and fields Improvado extracts from Heroku

Object Fields
Campaign
[VERIFY]spend [VERIFY]impressions [VERIFY]clicks [VERIFY]conversions [VERIFY]status
Ad Group
[VERIFY]bids [VERIFY]status [VERIFY]targeting [VERIFY]budget
Ad
[VERIFY]format [VERIFY]CTR [VERIFY]impressions [VERIFY]spend [VERIFY]creative_id
How it works

From connection to autonomous action in three steps

1

Connect

Connect your Heroku account via OAuth. Improvado's agent accesses app configurations, dyno metrics, logs, and add-on status across all your pipelines and teams.

2

Ask

Ask questions like 'Which apps have the highest memory usage?' or 'Show me error spikes in the last 24 hours for production apps.'

3

Act

The agent scales dynos up or down, restarts apps, manages config vars, promotes pipeline stages, and triggers manual deployments based on your instructions or predefined thresholds.

Use Cases

What teams ask their AI agent about Heroku

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

Connect Heroku user activity to marketing campaigns for complete attribution analysis

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

10 hrs → 30 min
A
Improvado Agent Cross-channel

Monitor Heroku app performance alongside marketing spend to optimize user acquisition

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

6 hrs → 15 min
A
Improvado Agent Reporting

Generate executive reports combining Heroku revenue data with marketing metrics

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

Manual → auto
AI Agent Access

Your agent connects Heroku user signups to the exact campaigns that drove them

Read

The agent reads real-time dyno metrics, response times, throughput, memory usage, error rates, build logs, add-on status, and pipeline stage configurations from your Heroku infrastructure.

Write

It scales dyno formations, restarts applications, updates config variables, promotes builds through pipelines, manages maintenance windows, and executes rollbacks when performance degrades.

Monitor

It monitors dyno health, database connection pools, response time thresholds, error rate spikes, memory limits, and deployment success rates to trigger alerts or automatic remediation.

The AI agent queries Heroku application data, user activity logs, and performance metrics in real-time. It can correlate app signups and revenue events with marketing touchpoints from Google Ads, Facebook, and other platforms. Ask it which campaigns drive users with the highest engagement rates or lowest churn.

Claude ChatGPT Cursor Gemini Any MCP Client
Improvado Agent · Heroku
You
Show me all production apps with their dyno counts and recent error rates
A
Production Apps
App Name Dynos Error Rate
freight-api-prod 6 web, 2 worker 0.3%
logistics-dashboard 4 web 1.2%
shipment-tracker 5 web, 3 worker 0.1%
warehouse-sync 3 web, 4 worker 2.8%
customer-portal 8 web 0.5%
5 apps · 35 total dynos · avg 1.0% error rate
You
Restart warehouse-sync and clear its Redis cache
A
App Restarted
warehouse-sync restarted, Redis cache cleared, 0 errors in last 5 min
Destinations

Send Heroku data anywhere

Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.

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 Heroku 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

What Heroku data can Improvado extract?
Improvado extracts application logs, database records from Heroku Postgres, performance metrics, user activity data, and data from monitoring add-ons. The platform can also pull custom application data through API endpoints you configure.
Can I connect multiple Heroku applications?
Yes, Improvado supports connections to multiple Heroku apps across different teams and environments. Data from different applications can be combined for unified reporting or kept separate based on your organizational needs.
How does Improvado access Heroku database data?
The platform connects to Heroku Postgres databases using read-only credentials or database followers to avoid impacting production performance. Custom queries can be configured to extract specific tables and fields relevant to your analytics.
What destinations work with Heroku integration?
Heroku data can be sent to BigQuery, Snowflake, Redshift, Azure Synapse, and BI tools like Tableau, Power BI, and Looker. The platform supports both cloud warehouses and direct connections to analytics tools.
Does the integration impact Heroku app performance?
No, Improvado uses read-only database connections and optimized queries to minimize impact on your Heroku applications. Data extraction is scheduled during low-traffic periods when possible.
Can I extract custom application metrics from Heroku?
Yes, Improvado can extract custom metrics through API endpoints you expose or by querying specific database tables. The platform supports flexible data extraction based on your application's unique data structure.