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SendGrid Integration

Ensure critical transactional emails reach customers while optimizing for engagement.

Why SendGrid + Finsi?

SendGrid provides sophisticated marketing automation, but turning that data into decisions usually means exporting and reconciling it by hand. Agents on Finsi read SendGrid data alongside the rest of your stack, with one set of definitions, and propose what to do next. A person approves each change, and every action is recorded.

Real-Time

Agents see SendGrid events as they sync

Intelligent

ML models trained on your specific data

Approved

Agents ask before they act and leave a record

What We Pull from SendGrid

Deliverability Metrics

  • Delivery Rates
    Successful delivery, bounces, and blocks by ISP
  • Reputation Monitoring
    IP and domain reputation scores
  • Spam Reports
    Complaint rates and feedback loops
  • Suppression Management
    Bounces, unsubscribes, and invalid emails

Engagement Tracking

  • Open & Click Data
    Real-time engagement tracking with device info
  • Link Performance
    Which links drive action in transactional emails
  • Geographic Opens
    Where emails are being opened globally
  • Email Client Data
    How different clients render and track emails

What You Can Achieve

Improve Critical Email Delivery

Ensure password resets and receipts reach users reliably.

Convert Transactional to Marketing

Add intelligent upsells to transactional emails.

🤖 AI Agents Powered by SendGrid

Agents on Finsi read your SendGrid data every day to spot patterns, predict outcomes, and propose the next step with their reasoning. Your team stops reconciling spreadsheets and spends its time deciding. Nothing changes until someone approves it.

Technical Integration Details

Connection Method

REST API with webhook support

Data Sync Frequency

Real-time streaming + batch sync every 5-30 minutes

Security

OAuth 2.0 authentication with read-only permissions

Compliance

GDPR and CCPA compliant

Put Your SendGrid Data to Work

Agents on Finsi read your SendGrid data with the rest of your stack, propose what to do next, and ask before they act.

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