Prompt

email template api dynamic variables

Technology / Developer Tools1 observationLast seen Oct 5, 2026

Latest observation

Oct 5, 2026OpenAI APIWeb search: off

When people say “email template API dynamic variables”, they usually mean a system where you store an email template with placeholders, then fill those placeholders with real data when sending.

Example template

Hello {{first_name}},

Your order #{{order_id}} has been shipped.
Track it here: {{tracking_url}}

Example API payload

{
  "template_id": "order_shipped",
  "to": "customer@example.com",
  "variables": {
    "first_name": "Jane",
    "order_id": "12345",
    "tracking_url": "https://track.example.com/12345"
  }
}

How it works

  1. Template contains placeholders like {{first_name}}
  2. API request sends the values in a variables object
  3. The service replaces placeholders with actual values
  4. The final email is sent

Common placeholder formats

  • {{name}}
  • ${name}
  • [[name]]

Tips

  • Keep variable names consistent between template and API payload
  • Provide defaults for missing values if possible
  • Validate required variables before sending
  • Escape HTML content if variables are inserted into HTML emails

Simple API design

Request

POST /send-email
Content-Type: application/json
{
  "template_id": "welcome_email",
  "to": "user@example.com",
  "variables": {
    "name": "John",
    "signup_date": "2026-10-05"
  }
}

Response

{
  "success": true,
  "message": "Email sent"
}

If you want, I can also give you:

  • a Node.js example
  • a Python example
  • a database schema for email templates
  • or a dynamic template syntax using Handlebars/Mustache

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 Circuit. 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.