Call Tracking helps you measure the effectiveness of different marketing campaigns. By assigning a unique phone number to different advertisements, you can track which ones have the best call rates and get some data about the callers themselves. For a step-by-step tutorial see twilio docs to help with setting this up.

This project is configured to use a TwiML App, which allows us to easily set the voice URLs for all Twilio phone numbers we purchase in this app.

Create a new TwiML app and use its Sid as the TWILIO_APP_SID environment variable wherever you run this app.

You'll configure the exact URL to use in your TwiML app in the "Try it out" section of this application.

To run this project locally, you'll need to install:

• Node.js which should also install npm.
• MongoDB
• ngrok

1. First clone this repository and cd into its directory:

   git clone https://github.com/TwilioDevEd/call-tracking-node.git
   
   cd call-tracking-node

2. Install dependencies:

   npm install

3. Copy the sample configuration file and edit it to match your configuration.

   cp .env.example .env

   The .env file lists where you can find or generate the values for each required variable.

   Run source .env to export the environment variables.

4. Start the MongoDB server.

   This app requires MongoDB to be running. See how to start the MongoDB service on Windows, MacOS, or Linux (choose your Linux distribution and then see "Run MongoDB Community Edition" in the installation instructions).

5. Run the application.

   npm start

   Alternatively you might also consider using nodemon for this. It works just like the node command, but automatically restarts your application when you change any source code files.

   npm install -g nodemon
   nodemon ./bin/www

   You should now be able to visit http://localhost:3000 on your local web browser and see a blank dashboard. The app is almost ready to go!

6. Start ngrok

   To actually forward incoming calls, your development server will need to be publicly accessible, so that Twilio can communicate with it. We recommend using ngrok to do this. Install ngrok and then run it, exposing port 3000 (the port that your local server is running on):

   ngrok http 3000

   You will use the ngrok tunnel URL provided in the "Try it out" step below.

You can run the tests locally by typing

npm test

In your Twilio app configuration you'll need to set http://<your-ngrok-domain>.ngrok.io/lead as the callback URL. Open the application and then click the "App configuration" button.

The button will take you to your TwiML call tracking application. Under "Voice" you will find a "Request URL" input box. There you should put the URL to the application's lead resource (e.g http://<your-ngrok-domain>.ngrok.io/lead).

You can now purchase new numbers from Twilio, associate them with a lead source, and set up call forwarding from the dashboard.

To add a new number press the "Search" button on the main dashboard. You can optionally select an area code to find a number in that particular area.

After you click "Search", you will be shown a list of available Twilio numbers that you can purchase. To select and purchase a number, click the "Purchase" button next to any of the listed available phone numbers.

You will then be redirected to a form where you can label the Lead Source and set up call forwarding. Now, when someone calls the number you have just purchased, it will be forwarded to the number you configure under "Forwarding number".

Now, when someone calls the number you purchased and labeled, the call will display in your dashboard as having been generated from that specific lead.

• No warranty expressed or implied. Software is as is. Diggity.
• MIT License
• Lovingly crafted by Twilio Developer Education.