AI + Performance Marketing
I document my practical learning here: Google Ads and Meta Ads practice campaigns, analytics and conversion tracking, AI-assisted workflows, and what actually happened when I ran the campaigns myself.
Independent practice projects and a training campaign, run on small personal budgets. Every figure comes from the platform's own reporting.
Independent Practice Project
I document my first Google Ads Search practice campaign in Gurugram, including the setup, results, conversion tracking issue and lessons I learned.
58 clicks · 932 impressions · 6.22% CTR
Read the full experimentIndependent Practice Project
I document my first independent Meta Ads lead campaign for a Gurugram rental project, including targeting, creatives, results and lessons.
57 reported leads · ₹23.79 CPL · 10,158 impressions
Read the full experimentTraining / Learning Project
A transparent look at my IIM SKILLS Meta Ads practice campaign, including the setup, results, creative performance and lessons from the experiment.
₹847 spend · 2 leads · ₹423 approximate CPL
Read the full experimentPerformance marketing is something I'm learning by actually doing it, not just by reading about it. This Blog is where I document that process.
I started learning digital marketing through structured training, but I wanted to go beyond courses and tutorials. I wanted to understand what happens when I actually create a campaign, choose a target audience, set a budget, build a landing page, look at the numbers and then discover that something doesn't work exactly the way I expected.
That is what most of the content here is about.
I've worked on independent practice projects using Google Ads and Meta Ads, experimented with lead generation, worked with GA4 and Google Tag Manager, built landing pages, looked at campaign data and dealt with some of the less exciting but very important parts of marketing, such as conversion tracking.
I also use AI while learning and building. It helps me research unfamiliar topics, organize ideas, troubleshoot problems, work on copy and build parts of my website. But I don't treat AI as a replacement for campaign data or human judgement.
The results and observations documented here come from my own practice projects. They aren't presented as professional client case studies or industry benchmarks.
I document my first Google Search practice campaign, including how I approached the campaign, what happened after launch, the numbers I saw and one of the biggest lessons I learned: getting a conversion number in an advertising dashboard doesn't automatically mean you have verified leads.
I also document my independent Meta Ads lead-generation experiment for a Gurugram rental project, including the audience setup, budget, creatives, lead results and what I noticed about creative delivery.
Campaigns are only as useful as the data we can trust. My experiments have also given me practical reasons to learn GA4, Google Tag Manager and conversion tracking rather than treating analytics as something separate from advertising.
AI has become part of the way I learn. I use it as a practical assistant rather than presenting it as the reason behind my campaign results.
Some of the most useful things I've learned didn't come from the campaigns going exactly as planned. They came from seeing something unexpected and having to investigate it.
Google Ads Independent Practice Project
I document my first Google Ads Search practice campaign in Gurugram, including the setup, results, conversion tracking issue and lessons I learned.
58 clicks · 932 impressions · 6.22% CTR
Meta Ads Independent Practice Project
I document my first independent Meta Ads lead campaign for a Gurugram rental project, including targeting, creatives, results and lessons.
57 reported leads · ₹23.79 CPL · 10,158 impressions
Meta Ads Training / Learning Project
A transparent look at my IIM SKILLS Meta Ads practice campaign, including the setup, results, creative performance and lessons from the experiment.
₹847 spend · 2 leads · ₹423 approximate CPL
Learning & Experiments
What I learned from running my first Google Ads and Meta Ads practice campaigns, from search intent and creative testing to conversion tracking.
Search vs social, from two practice campaigns
Analytics & Tracking
My first Google Ads campaign exposed a conversion tracking discrepancy. Here's what I learned about GA4, GTM, Google Ads and validating lead events.
6 reported conversions · 3 verified form submissions
Analytics & Tracking
My Google Ads practice campaign reported six conversions but I verified three. What that taught me about GA4, Google Tag Manager and trusting campaign data.
The number behind the number
AI + Marketing
How I use AI for research, brainstorming, troubleshooting and learning while building practical skills in Google Ads, Meta Ads and performance marketing.
A practical assistant, not a source of truth
AI + Marketing
How I used AI-assisted development to build my performance marketing portfolio, including the Blog, landing pages, SEO structure and responsive design.
Why I built a portfolio, and how AI helped
Performance Marketing
Lessons from my first Google Ads and Meta Ads practice campaigns, including tracking, creative testing, campaign data and the role of AI.
Dashboards, tracking, creative testing and patience
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I don't consider these campaigns the final version of my performance marketing journey. They're the beginning.
As I run more experiments, learn more about Google Ads and Meta Ads, improve my tracking and become more comfortable with analytics, I'll add those experiences here.
The idea is simple: do the work, look at the data, question what doesn't make sense, learn from it, then try again. That's what this Blog is here to document.
I'm building my career in performance marketing, with a focus on Google Ads, Meta Ads, analytics and conversion tracking. This website documents the projects I work on while learning, including what worked, what didn't, and what I would test next.
The campaign examples on this website are independent practice projects, training exercises or personal learning experiments unless explicitly stated otherwise.
The results shown are specific to the individual experiments and should not be treated as industry benchmarks or guaranteed advertising outcomes.
Campaign performance can vary significantly depending on the business, offer, audience, location, budget, creative, competition, landing page, tracking configuration and many other factors.
AI tools mentioned on this website are used as part of my learning and working process. Their suggestions and outputs are not automatically treated as factual or suitable for every campaign.