# 🤖 Lead Nurturing Emails Creator-PPE (`powerai/lead-nurturing-emails-creator-ppe`) Actor Transform your email marketing strategy with AI-powered lead nurturing campaigns! This powerful tool creates comprehensive email sequences with personalized content, subject lines, and CTAs to effectively engage and convert your target audience through every stage of their journey. - **URL**: https://apify.com/powerai/lead-nurturing-emails-creator-ppe.md - **Developed by:** [PowerAI](https://apify.com/powerai) (community) - **Categories:** Agents, AI - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## 🤖 Lead Nurturing Emails Creator(Rental) Transform your email marketing strategy with AI-powered lead nurturing campaigns! This intelligent tool generates comprehensive email marketing sequences designed to engage, nurture, and convert your leads through personalized content and strategic timing. Two versions for choice: | **Pay Model** | **Pricing** | |--------------------------------------------------------------------------------------|-------------------------| | [**Rental**](https://apify.com/powerai/lead-nurturing-emails-creator-rental) | $19.99/month(no limit) | | [**Pay-per-event**](https://apify.com/powerai/lead-nurturing-emails-creator) | $3.99/event | ### ✨ Key Features - 📧 Complete 5-email nurturing sequence - 💡 Strategic subject lines and preview text - ⏰ Optimal send time recommendations - 🎯 Targeted audience segmentation - 📊 KPI tracking suggestions - 🔄 A/B testing recommendations - 📱 Multi-format output (PDF, HTML, Markdown) - 🎨 Professional email templates ### 💪 Why Choose This Actor? - **Data-Driven**: Creates sequences based on proven email marketing principles - **Comprehensive**: Covers all aspects of lead nurturing campaign - **Customizable**: Adapts to your specific audience and product - **Multi-Format**: Get your campaign plan in three convenient formats - **Strategic**: Includes A/B testing and KPI recommendations - **Professional**: Expert-level email marketing strategies ### 🎯 Perfect For - 📈 Marketing Managers - 💼 Business Owners - 🚀 Startup Founders - 📧 Email Marketing Specialists - 🎯 Lead Generation Teams - 📊 Digital Marketing Agencies ### 📈 Use Cases 1. **Welcome Series**: Create engaging onboarding email sequences 2. **Product Launch**: Design promotional email campaigns 3. **Lead Nurturing**: Develop relationship-building email series 4. **Re-engagement**: Create win-back email campaigns 5. **Sales Conversion**: Design high-converting email funnels ### 📝 Input Requirements Provide key information about your campaign: - Target audience description - Product or service details - Unique selling proposition ### 📊 Output The actor generates comprehensive campaign plans in three formats: 1. **HTML Report**: Web-friendly format with styled content 2. **PDF Report**: Professional document for sharing 3. **Markdown Report**: Easy-to-edit format for customization #### Input Example ```json { "targetAudience": "busy professionals looking for quick and healthy meal options", "productOrService": "a subscription-based meal delivery service offering gourmet, ready-to-eat meals", "uniqueSellingProposition": "fresh, chef-prepared meals delivered right to your office or home, tailored to dietary preferences and health goals." } ```` #### Output Example ```json { "input": { "targetAudience": "busy professionals looking for quick and healthy meal options", "productOrService": "a subscription-based meal delivery service offering gourmet, ready-to-eat meals", "uniqueSellingProposition": "fresh, chef-prepared meals delivered right to your office or home, tailored to dietary preferences and health goals." }, "htmlFile": "https://api.apify.com/v2/key-value-stores/null/records/lead-nurturing-emails-2025-04-04-16-55-49.html", "pdfFile": "https://api.apify.com/v2/key-value-stores/null/records/lead-nurturing-emails-2025-04-04-16-55-49.pdf", "markdownFile": "https://api.apify.com/v2/key-value-stores/null/records/lead-nurturing-emails-2025-04-04-16-55-49.md" } ``` #### Example Screenshots ![Example](https://i.imgur.com/tEH5zjV.png) # Actor input Schema ## `targetAudience` (type: `string`): Describe your target audience for the email campaign ## `productOrService` (type: `string`): Describe your product or service offering ## `uniqueSellingProposition` (type: `string`): What makes your product or service unique in the market ## Actor input object example ```json { "targetAudience": "busy professionals looking for quick and healthy meal options", "productOrService": "a subscription-based meal delivery service offering gourmet, ready-to-eat meals", "uniqueSellingProposition": "fresh, chef-prepared meals delivered right to your office or home, tailored to dietary preferences and health goals." } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("powerai/lead-nurturing-emails-creator-ppe").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("powerai/lead-nurturing-emails-creator-ppe").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call powerai/lead-nurturing-emails-creator-ppe --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=powerai/lead-nurturing-emails-creator-ppe", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🤖 Lead Nurturing Emails Creator-PPE", "description": "Transform your email marketing strategy with AI-powered lead nurturing campaigns! This powerful tool creates comprehensive email sequences with personalized content, subject lines, and CTAs to effectively engage and convert your target audience through every stage of their journey.", "version": "0.0", "x-build-id": "SeSz75oCYGZ2O3nIR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/powerai~lead-nurturing-emails-creator-ppe/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-powerai-lead-nurturing-emails-creator-ppe", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/powerai~lead-nurturing-emails-creator-ppe/runs": { "post": { "operationId": "runs-sync-powerai-lead-nurturing-emails-creator-ppe", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/powerai~lead-nurturing-emails-creator-ppe/run-sync": { "post": { "operationId": "run-sync-powerai-lead-nurturing-emails-creator-ppe", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "targetAudience", "productOrService", "uniqueSellingProposition" ], "properties": { "targetAudience": { "title": "Target Audience", "type": "string", "description": "Describe your target audience for the email campaign", "default": "busy professionals looking for quick and healthy meal options" }, "productOrService": { "title": "Product or Service", "type": "string", "description": "Describe your product or service offering", "default": "a subscription-based meal delivery service offering gourmet, ready-to-eat meals" }, "uniqueSellingProposition": { "title": "Unique Selling Proposition", "type": "string", "description": "What makes your product or service unique in the market", "default": "fresh, chef-prepared meals delivered right to your office or home, tailored to dietary preferences and health goals." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```