In August 2024, I was working with Manchester Metropolitan University students on my software startup vinr. The project focused on finding cost-effective and efficient ways of marketing a bootstrapped startup in an internet crowded by tech giants. One of the proposals was to trigger a drip campaign after a user signed up for my product. Essentially, this is an automated way to reach your users with welcome emails, offers, recommendations, etc. The emails are scheduled at a frequency that is not too annoying but nurturing.
I could have used one of the existing CRM solutions to do this. However, I have had really bad experiences integrating with CRMs such as Marketo and Salesforce when I worked for startups before. I was pretty sure that most CRM tools would feel like using a lathe to fix a small screw, especially considering my simple use case of just drip campaigns. Since I was building a B2B software that businesses use for their operations, I thought, why not include a CRM in it? This way, I could sign up for my own product and "eat my own dog food."
So, game on. I started programming an API for creating and deleting contacts remotely. This allowed anyone using the product to call these APIs and manage their contacts (name and email). API keys could be obtained from the UI.
Next, I created a collection called campaigns, which could be populated from the UI of my product.
{ "_id": "01JCQHXJDZWEN4E6JKC0752YH9", "name": "vinr AI Welcome mail English", "contactFilter": "language=en", "active": "on", "preferredSendTime": "10:00", "createdTime": "2024-11-08T00:27:53.034Z", "updatedTime": "2024-11-15T09:15:02.700Z", "messages": [ { "subject": "Welcome to vinr AI ?", "sendDay": 0, "htmlTemplate": "" } ], "contacts": [ { "name": "John doe", "emailAddress": "john.doe@example.com", "hash": "5257447467882cc3514722abb9af36450f465ed47a365b4b578d574172cab08c", "createdTime": "2024-11-08T10:00:03.538Z" } ], "activities": [] }
You might notice that the contacts field is populated with contacts that are eligible based on the contactFilter criteria. This is done by a CRON which I will explain later.
One important step was handling the unsubscribe link. You might have noticed the hash in each email; this hash represents the contact 1:1. I appended an unsubscribe link with this hash. When a user clicks the unsubscribe link at the bottom of the email, a confirmation screen appears, and the contact is removed from both the campaign and the contacts collection, saving us from the fury of the customer.
The final step was a CRON job that runs at scheduled intervals, checking for active campaigns with the current preferred send time. The CRON collects eligible contacts based on the filter criteria and inserts them into the campaign. Finally, the campaign triggers the email API.
Cool! So, I had everything needed to send an email except the actual method to send it. All that was pending was contacting the AWS folks to get my CRM approved for SES to send bulk emails. After following the process outlined in the SES documentation to move to production, I was able to join the final piece of the puzzle.
An API for contacts, a campaign with a mail template and contact filter criteria, a CRON job, and SES integration—tada!
This lightweight CRM has automated my previously painful manual efforts.
The above is the detailed content of How I built a lightweight CRM for drip campaigns. For more information, please follow other related articles on the PHP Chinese website!

The main difference between Python and JavaScript is the type system and application scenarios. 1. Python uses dynamic types, suitable for scientific computing and data analysis. 2. JavaScript adopts weak types and is widely used in front-end and full-stack development. The two have their own advantages in asynchronous programming and performance optimization, and should be decided according to project requirements when choosing.

Whether to choose Python or JavaScript depends on the project type: 1) Choose Python for data science and automation tasks; 2) Choose JavaScript for front-end and full-stack development. Python is favored for its powerful library in data processing and automation, while JavaScript is indispensable for its advantages in web interaction and full-stack development.

Python and JavaScript each have their own advantages, and the choice depends on project needs and personal preferences. 1. Python is easy to learn, with concise syntax, suitable for data science and back-end development, but has a slow execution speed. 2. JavaScript is everywhere in front-end development and has strong asynchronous programming capabilities. Node.js makes it suitable for full-stack development, but the syntax may be complex and error-prone.

JavaScriptisnotbuiltonCorC ;it'saninterpretedlanguagethatrunsonenginesoftenwritteninC .1)JavaScriptwasdesignedasalightweight,interpretedlanguageforwebbrowsers.2)EnginesevolvedfromsimpleinterpreterstoJITcompilers,typicallyinC ,improvingperformance.

JavaScript can be used for front-end and back-end development. The front-end enhances the user experience through DOM operations, and the back-end handles server tasks through Node.js. 1. Front-end example: Change the content of the web page text. 2. Backend example: Create a Node.js server.

Choosing Python or JavaScript should be based on career development, learning curve and ecosystem: 1) Career development: Python is suitable for data science and back-end development, while JavaScript is suitable for front-end and full-stack development. 2) Learning curve: Python syntax is concise and suitable for beginners; JavaScript syntax is flexible. 3) Ecosystem: Python has rich scientific computing libraries, and JavaScript has a powerful front-end framework.

The power of the JavaScript framework lies in simplifying development, improving user experience and application performance. When choosing a framework, consider: 1. Project size and complexity, 2. Team experience, 3. Ecosystem and community support.

Introduction I know you may find it strange, what exactly does JavaScript, C and browser have to do? They seem to be unrelated, but in fact, they play a very important role in modern web development. Today we will discuss the close connection between these three. Through this article, you will learn how JavaScript runs in the browser, the role of C in the browser engine, and how they work together to drive rendering and interaction of web pages. We all know the relationship between JavaScript and browser. JavaScript is the core language of front-end development. It runs directly in the browser, making web pages vivid and interesting. Have you ever wondered why JavaScr


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

SublimeText3 Chinese version
Chinese version, very easy to use

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.
