Prompt
What should I use for developer email API and event tracking?
Latest observation
If you mean email delivery + event tracking for developers, the best choice depends on whether you want:
- Transactional email (password resets, receipts, alerts)
- Marketing/email campaigns
- Product event tracking / analytics
- Email event webhooks like delivered, opened, clicked, bounced, unsubscribed
Good options by use case
1) Best general-purpose developer email API
SendGrid
- Easy API
- Good docs
- Supports event webhooks
- Solid for transactional + basic marketing
- Widely used
Best if: you want something mature and straightforward.
2) Best for transactional email with clean developer experience
Postmark
- Excellent deliverability
- Very clean API
- Strong event tracking/webhooks
- Great for transactional email only
Best if: you care most about reliability and clarity, not marketing features.
3) Best if you want more control / infrastructure style
Amazon SES
- Very cheap
- Scales well
- Event tracking via AWS tools/webhooks
- More setup complexity
Best if: you’re cost-sensitive and comfortable with AWS.
4) Best for combining email + product analytics/event tracking
Customer.io
- Email automation tied to user events
- Good for lifecycle messaging
- Strong segmentation and event-based campaigns
Best if: your “event tracking” means triggering emails based on user behavior.
5) Best for email + product analytics platform
Twilio Segment
- Great event collection layer
- Then send data to tools like email providers, warehouses, and analytics
Best if: you want a central event pipeline, not just email tracking.
Quick recommendation
- Transactional email + tracking: Postmark
- General email API: SendGrid
- Low cost at scale: Amazon SES
- Behavior-based email automation: Customer.io
- Unified event tracking layer: Segment
If you want one simple stack
A common modern setup is:
- Postmark for sending email
- Segment or your own event system for product events
- Webhooks from Postmark for email delivery/open/click tracking
If you want, I can also recommend the best option based on:
- your stack (Node, Python, PHP, etc.)
- whether you need marketing vs transactional
- your expected email volume
- whether you need open/click tracking or just delivery events
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
Want this interpreted for your brand?
Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.