Open DevCEDTeam opened 1 year ago
Task # 2
Apologies for the confusion in my previous responses. Let's go through the revised approach to meet the assignment objectives:
Step 1: Set up a Google Cloud Project and Google Analytics Property
Step 2: Add Custom Dimensions to Google Analytics
Step 3: Create a Cloud Function to generate tracking pixel Here's an example implementation using Node.js:
const { createCanvas, loadImage } = require('canvas');
const crypto = require('crypto');
function generateTrackingCode() {
const codeLength = 12;
const characters = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789';
let code = '';
for (let i = 0; i < codeLength; i++) {
const randomIndex = Math.floor(Math.random() * characters.length);
code += characters.charAt(randomIndex);
}
return code;
}
exports.generateTrackingPixel = async (req, res) => {
const trackingCode = generateTrackingCode();
const canvas = createCanvas(1, 1);
const ctx = canvas.getContext('2d');
ctx.fillStyle = '#000';
ctx.fillRect(0, 0, 1, 1);
const buffer = canvas.toBuffer('image/png');
res.set('Content-Type', 'image/png');
res.send(buffer);
// Store the trackingCode or use it to associate information with the email address
console.log(`Generated tracking code: ${trackingCode}`);
};
Step 4: Configure Google Analytics for tracking
Step 5: Deploy the Cloud Function
gcloud functions deploy generateTrackingPixel --runtime nodejs14 --trigger-http
Step 6: Use the tracking pixel in emails
<img>
tag with the source URL pointing to the generated tracking pixel.https://your-cloud-function-url/generateTrackingPixel?code=ABC123456789
.Step 7: Test and track email events
I hope this revised approach meets the assignment requirements. Let me know if you have any further questions or need additional assistance!
Task # 3
Certainly! Configuring the pixel data script involves setting up Google Analytics to capture the required information when the tracking pixel is loaded. Here's a step-by-step guide to configure the pixel data script:
Set up Google Analytics:
Add Custom Dimensions:
Configure Google Tag Manager:
Modify the Cloud Function:
generateTrackingPixel
Cloud Function to include the necessary information in the tracking pixel response.axios
library (using npm install axios
) to make HTTP requests from the Cloud Function.Here's an example of how to modify the generateTrackingPixel
Cloud Function to include custom dimensions:
const axios = require('axios');
exports.generateTrackingPixel = async (req, res) => {
const trackingCode = generateTrackingCode();
const trackingUrl = `https://www.google-analytics.com/collect?v=1&t=event&tid=[YOUR_TRACKING_ID]&cid=${trackingCode}&ec=email&ea=open`;
try {
await axios.post(trackingUrl);
} catch (error) {
console.error('Failed to send event data to Google Analytics:', error);
}
const canvas = createCanvas(1, 1);
const ctx = canvas.getContext('2d');
ctx.fillStyle = '#000';
ctx.fillRect(0, 0, 1, 1);
const buffer = canvas.toBuffer('image/png');
res.set('Content-Type', 'image/png');
res.send(buffer);
console.log(`Generated tracking code: ${trackingCode}`);
};
Make sure to replace [YOUR_TRACKING_ID]
in the trackingUrl
variable with the actual Google Analytics tracking ID obtained in step 1.
In the modified Cloud Function, the axios.post()
call sends a measurement protocol request to Google Analytics to track the email open event. You can customize this request to include additional information like custom dimensions. For example, to include the device and browser dimensions, you would modify the trackingUrl
as follows:
const trackingUrl = `https://www.google-analytics.com/collect?v=1&t=event&tid=[YOUR_TRACKING_ID]&cid=${trackingCode}&ec=email&ea=open&cd1=${deviceInfo}&cd2=${browserInfo}`;
In this example, cd1
and cd2
are placeholders for custom dimension indices 1 and 2, respectively. Replace deviceInfo
and browserInfo
with the actual values obtained from the email client's user-agent.
Remember to redeploy the Cloud Function after making these modifications.
That's how you configure the pixel
Task # 4
To track additional information like device and browser details, and unsubscription HTML link from a Google Cloud SQL database list, you can modify the Cloud Function code as follows:
const { createCanvas } = require('canvas');
const crypto = require('crypto');
const { Pool } = require('pg');
const pool = new Pool({
// Configure your Google Cloud SQL database connection details
user: '[DB_USER]',
password: '[DB_PASSWORD]',
host: '[DB_HOST]',
database: '[DB_NAME]',
port: '[DB_PORT]'
});
function generateTrackingCode() {
const codeLength = 12;
const characters = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789';
let code = '';
for (let i = 0; i < codeLength; i++) {
const randomIndex = Math.floor(Math.random() * characters.length);
code += characters.charAt(randomIndex);
}
return code;
}
exports.generateTrackingPixel = async (req, res) => {
const trackingCode = generateTrackingCode();
const device = req.headers['user-agent'];
const browser = req.query.browser || '';
const unsubscriptionLink = req.query.unsublink || '';
const canvas = createCanvas(1, 1);
const ctx = canvas.getContext('2d');
ctx.fillStyle = '#000';
ctx.fillRect(0, 0, 1, 1);
const buffer = canvas.toBuffer('image/png');
res.set('Content-Type', 'image/png');
res.send(buffer);
const insertQuery = 'INSERT INTO email_tracking (tracking_code, device, browser, unsubscription_link) VALUES ($1, $2, $3, $4)';
const insertValues = [trackingCode, device, browser, unsubscriptionLink];
try {
await pool.query(insertQuery, insertValues);
} catch (error) {
console.error('Failed to insert tracking data:', error);
}
console.log(`Generated tracking code: ${trackingCode}`);
};
In the code above, we've made the following changes:
pg.Pool
to interact with the Google Cloud SQL database.device
and browser
information from the request headers.unsubscriptionLink
from the query parameters.INSERT
query to include the new custom dimensions (device
, browser
, unsubscription_link
) and their corresponding values.INSERT
query to store the tracking data in the Google Cloud SQL database.Make sure to replace the placeholder values ([DB_USER]
, [DB_PASSWORD]
, [DB_HOST]
, [DB_NAME]
, [DB_PORT]
) with your actual database connection details.
By implementing these changes, you can track the device, browser, and unsubscription link information along with the email tracking code in the Google Cloud SQL database for further analysis and reporting.
Remember to deploy the updated Cloud Function to apply these changes.
Task # 5
Task # 1
Set up a Google Analytics account if you don't have one already. Create a new property to track the email events. Add custom dimensions to track additional information like device and browser details.