Streak Integration

Streak Data Integration | Gmail CRM Pipeline Analytics

Connect Streak in 5 minutes. Your AI agent reads boxes (deals/leads), pipeline stages, contact interaction timelines, and task assignments directly from Gmail — then correlates with cross-channel insights from 1,000+ sources.

SOC 2 Type II
1,000+ Data Sources
Any Warehouse or BI Tool
A
Improvado Agent
Connected to Streak
Show me all boxes in 'Negotiation' stage with no email activity in the past 5 days.
Found 7 boxes in 'Negotiation' with no recent emails: Vertex Solutions (12 days idle, $45K value), CloudTech Partners (8 days, $32K), DataFlow Inc (6 days, $28K), and 4 others totaling $187,000 in pipeline value at risk.
Move these to 'Follow-up Required' and create tasks for my team to reach out by end of week.
Done. Moved 7 boxes to 'Follow-up Required' stage and created tasks assigned to your sales team with due date Friday 5pm. Each task includes the last interaction date and contact email for quick reference.
Trusted by data-driven teams
DockerOMDhimsillyMattelASUSActivision
1,000+
Integrations
200+
Streak Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
Improvado Key Takeaways

What your AI agent extracts from Streak

Improvado pulls boxes (deals and leads with stage positions and custom fields), contacts (with email history and social media info), pipelines (stage definitions and progression), tasks (assignments and reminders), mail merges, and comments/activity logs. Your agent surfaces contact interaction timelines, deal stage movements, email engagement tracked within Gmail, and AI-autofilled CRM fields from email content and public data sources.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the Streak 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 Streak 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

Complete Streak CRM Data Coverage

Improvado pulls boxes (deals and leads with stage positions, custom fields, and value), contacts (with email history and social profiles), pipelines (stage definitions and progression rules), tasks (assignments, due dates, and reminders), mail merge campaigns, and activity logs (comments, stage changes, and email interactions). We capture AI-autofilled CRM fields from email content and public data sources.

Streak API · API key authentication · 15–30 min sync · incremental with real-time email triggers
Schema Overview

Data objects and fields Improvado extracts from Streak

Object Fields
boxes
name pipeline stage custom_fields created_date last_updated assigned_to
contacts
name email phone linkedin_url interaction_count last_contact_date
pipelines
name stages box_count created_date
tasks
title assigned_to due_date completed box_id reminder_date
How it works

From connection to autonomous action in three steps

1

Connect

Connect: Generate API credentials in your Streak settings, paste into Improvado, and authorize in under 10 minutes. Backfill of boxes, contacts, and email interaction history starts immediately.

2

Ask

Query: Ask 'Which contacts have the most email interactions but no boxes in active pipelines?' — your agent surfaces contact names, email counts, interaction timelines, and suggests creating boxes for high-engagement prospects.

3

Act

Act: Command 'Create boxes for top 5 engaged contacts and assign to Sarah's pipeline' — the agent writes new boxes, sets pipeline stages, assigns ownership, and confirms with box names and stage positions.

Use Cases

What teams ask their AI agent about Streak

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

Which boxes in my 'Sales Pipeline' have been in 'Proposal Sent' stage for more than 10 days without email activity?

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

3 hrs → 10 min
A
Improvado Agent Cross-channel

Compare Streak deal velocity (days per stage) against close rates in Salesforce — which pipeline is faster?

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

Manual → auto
A
Improvado Agent Reporting

Move all stalled boxes to 'Follow-up Needed' and create reminder tasks for tomorrow morning.

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

5 hrs → 20 min
AI Agent Access

Your agent doesn't just read Streak — it orchestrates your Gmail CRM.

Read

Read: Extracts boxes (name, pipeline, stage, custom fields, creation/update dates), contacts (name, email, social profiles, interaction timeline with email history), pipelines (stage names and sequences), tasks (assignments, due dates, completion status), mail merge campaigns, and comments/activity logs with AI-autofilled data from emails.

Write

Write: Moves boxes between pipeline stages, creates new boxes and assigns to pipelines, adds and assigns tasks with due dates and reminders, posts comments to box activity logs, updates custom field values (magic columns), triggers mail merge campaigns, and modifies contact details and assignments.

Monitor

Monitor: Watches for boxes idle in stages beyond threshold days without email activity, tracks stage progression velocity to flag slow-moving deals, alerts on overdue tasks or upcoming reminders, and identifies high-interaction contacts without assigned boxes for automated lead capture and pipeline entry.

Claude, ChatGPT, and Cursor write back to Streak via Improvado's MCP integration: move boxes between pipeline stages, create and assign tasks with due dates, add comments to deal activity logs, and trigger mail merges for automated outreach. Every write action is logged with timestamps, agent identity, and changed fields for full audit trails and governance controls.

Claude ChatGPT Cursor Gemini Any MCP Client
Improvado Agent · Streak
You
Show me boxes in 'Proposal Sent' stage for more than 10 days without any email activity
A
Stalled Proposal Boxes
Box Name Days in Stage Last Email Activity
Acme Corp — Enterprise Plan 18 days 19 days ago
TechStart Inc — Annual Contract 15 days 16 days ago
Global Retail — Multi-Location 14 days 15 days ago
Innovate Labs — Custom Build 12 days 13 days ago
Summit Partners — Upgrade 11 days 12 days ago
5 boxes · 14 avg days stalled · $127K total deal value
You
Move all five boxes to 'Follow-up Needed' stage and create reminder tasks for tomorrow at 9am
A
Stage moves and tasks created
Moving 5 boxes · creating 5 tasks for Jan 15 at 9:00 AM
Destinations

Send Streak 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 Streak 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 connect to Streak?
Improvado connects to Streak via its API using authentication credentials you generate in your Streak account settings. Setup takes under 10 minutes: create API access in Streak, paste credentials into Improvado's connector configuration, and authorize the integration. Improvado backfills historical boxes, contacts, pipeline data, and email interaction logs from your specified date range, typically completing initial sync within 20–40 minutes depending on data volume.
What Streak data does Improvado pull?
Improvado extracts boxes (deal/lead name, pipeline stage, custom field values, creation and update timestamps), contacts (name, email, LinkedIn and social profiles, interaction timeline), pipelines (stage names and sequences), tasks (assignments, due dates, completion status), mail merge campaigns, and comments/activity logs. Key fields include box stage position for pipeline analysis, contact email history for engagement tracking, task reminders, and AI-autofilled data from emails and public sources. Data refreshes automatically as interactions occur in Gmail, with scheduled syncs typically every 15–30 minutes for batch updates.
How often does Streak data refresh?
Streak data syncs every 15–30 minutes by default, with near-real-time updates for email-based triggers (new emails automatically logged to boxes and pipelines). Improvado uses incremental sync to pull only changed records (new boxes, stage movements, updated tasks, fresh comments) after the initial backfill, optimizing API usage. Enterprise customers can configure more frequent sync intervals or trigger manual refreshes instantly via the Improvado dashboard or through AI agent commands for time-sensitive pipeline analysis.
Can the AI agent write data back to Streak?
Yes. Your AI agent can write and update records in Streak via Improvado's MCP integration. It can move boxes between pipeline stages, create new boxes and assign them to pipelines, add and assign tasks with due dates and reminders, post comments to box activity logs, update custom field values (magic columns), and trigger mail merge campaigns for automated outreach. Every write action is logged with full audit trails showing timestamp, agent identity, changed fields, and previous values, with role-based access controls available for governance.
Is Streak data secure with Improvado?
Yes. Improvado is SOC 2 Type II certified, HIPAA-compliant, and GDPR-ready. All Streak data is encrypted in transit (TLS 1.2+) and at rest (AES-256). API credentials are stored in Improvado's secure credential vault with role-based access controls, automatic rotation policies, and audit logging. Improvado never stores your Streak credentials in plain text and supports IP whitelisting and SSO for enterprise deployments. Email interaction data and contact timelines are handled with strict privacy controls compliant with data protection regulations.
How does Streak connect with other platforms in Improvado?
Improvado maps Streak data to its Common Data Model, unifying boxes with opportunities from Salesforce, HubSpot, and Pipedrive, and linking contact interaction timelines to email engagement metrics from Mailchimp or SendGrid. Your AI agent can compare Streak pipeline velocity against marketing campaign performance in Google Ads, correlate deal stages with support ticket volume in Zendesk, or analyze sales productivity across Gmail CRM and project management tools like Asana. All 1,000+ connectors share the same normalized schema for instant cross-platform analysis.