Aniruddho Dutta Mithun

Digital Marketing-Meta And Google ads Expert

Performance driven Digital Marketing Strategist specializing in Meta Ads, Google Ads, AI marketing, and Lead Generation.Helping brands scale with high converting campaigns, data driven strategy,and premium digital growth

VIEW PORTFOLIO
Aniruddho Dutta Mithun
ABOUT ME  ✦
ADM
Aniruddho Dutta Mithun
⚡Digital Marketing Strategist
🤖AI-Driven Marketing Analyst
🎯Google Ads Certified
📘Facebook Ads Specialist
🔮AEO Specialist
Available for projects
🎓 Education
🏛️
MBA — Digital Marketing & AI
Punjab, India · 2022–2024
📡
BSc — New Media Technology
Punjab, India · 2019–2022
✦ Who I am
Aniruddho Dutta Mithun is a digital marketing strategist who completed his BSc and MBA in Punjab, India, specializing in Digital Marketing and Artificial Intelligence.

He has built a career at the intersection of performance marketing, data analytics, and AI-driven growth systems — helping real estate companies and service-based businesses build structured marketing systems that reduce cost per acquisition and deliver consistent, measurable growth.

His core focus is building systems that generate leads, reduce wasted ad spend, and scale ROI using automation, audience psychology, and AI-powered targeting.
⚡ Core expertise
🎯
Google Ads
📱
Meta Ads
🔍
SEO & AEO
🤖
AI Marketing
📊
Analytics
🚀
Lead Generation
🏢 Industries
🏠 Real Estate
🎓 Education
🛒 eCommerce
🏢 Service Businesses
🌍 International Markets
“My approach is simple — build systems that generate leads, reduce cost per acquisition, and maximize return on investment using data, automation, and artificial intelligence.“
↑ 21%
🎯
Google Ads
$3.85
Avg. CPC
↑ 34%
📱
Meta Ads
2.4x
Avg. ROAS
↑ 18%
📊
Social Media
12%
Conv. Rate
↑ 45%
🚀
Brand Growth
473K
Total Clicks
$0
Ad Spend Managed
0
Campaigns Launched
0
Leads Generated
Aniruddho Dutta Mithun — Digital Marketing Expert
🚀
Performance Marketing
End-to-end campaign strategy from audience research to creative testing and ROI optimization.
Core Expertise
📊
Google Ads
Search, Display, Shopping & YouTube campaigns with precision targeting.
📱
Meta Ads
Facebook & Instagram funnels built for awareness, leads & conversions.
🤖
AI Marketing
Leveraging AI tools to automate, analyze and supercharge growth.
🌐
Brand Growth
Strategic positioning, identity, and social presence that dominates.
Google Ads
Meta Advertising
Social Media Marketing
Brand Growth Strategy
AI-Powered Campaigns
Lead Generation
SEO & Analytics
Performance Marketing
Google Ads
Meta Advertising
Social Media Marketing
Brand Growth Strategy
AI-Powered Campaigns
Lead Generation
SEO & Analytics
Performance Marketing

Marketing Systems Built For Scalable Growth

01
📈
Google Ads
Precision-targeted search and display campaigns that put your brand in front of buyers at the exact moment they’re ready.
  • Search & Shopping Campaigns
  • Conversion Rate Optimization
  • Keyword Strategy & Bidding
02
🎯
Meta Ads
High-converting Facebook and Instagram funnels tailored for awareness, retargeting, and lead generation at scale.
  • Audience Research & Targeting
  • Creative Testing Frameworks
  • ROAS-focused Optimization
03
📲
Social Media Marketing
Organic and paid social strategies that build community, grow authority, and turn followers into loyal customers.
  • Content Strategy & Calendar
  • Community Management
  • Influencer Collaboration
04
💎
Brand Growth
Holistic brand positioning that combines identity, storytelling, and data to dominate your market with authority.
  • Brand Positioning & Identity
  • Market Competitive Analysis
  • Multi-channel Growth Plans

Ready to Scale Your
Digital Presence?

FAQ — Aniruddho Dutta Mithun
FAQ  ✦

Frequently asked questions.

Covering my approach to performance marketing, data-driven strategy, team collaboration, AI-driven systems, and organisational growth.

01 What is my professional background and what do I bring to a marketing team?

I hold an MBA in Digital Marketing and Artificial Intelligence from Punjab, India, and a BSc in New Media Technology — a combination that gives me both academic depth and hands-on performance marketing capability. I am a Google Ads Certified professional and Meta Ads Specialist with experience managing advertising budgets across real estate, education, eCommerce, and international markets.

What I bring to a marketing team is the ability to operate at both the strategic and execution level simultaneously. I can contribute to revenue discussions at leadership level and translate those directly into campaign architecture, budget allocation, and KPI frameworks. I am also deeply specialised in AI-driven marketing systems, which positions me to future-proof the marketing function of any organisation I join. My background combines analytical rigour with strategic creative thinking — which I consider a genuine differentiator at this level.

02 How do I approach building a digital marketing strategy for an organisation?

My process begins with business alignment. Before touching any platform or writing a brief, I anchor the strategy to the organisation’s revenue targets, growth priorities, and customer acquisition economics. Marketing disconnected from business outcomes is just expensive activity.

I then build in three structured phases:

  • Audit and foundation — assessing the current state across channels, tracking infrastructure, customer data, and competitive positioning
  • Strategy and channel architecture — defining the right channel mix, funnel structure, audience segmentation, and KPI framework
  • Execution, measurement and iteration — systematic deployment, A/B testing cadence, and data-driven optimisation cycles

I operate with a strong bias toward measurable, accountable marketing. Every initiative I lead has a defined success metric before it launches — this creates a culture of performance within the team and gives leadership clear, honest visibility into what is and isn’t working.

03 How do I use data and analytics to drive marketing decisions?

I treat data as the primary input for every decision — not as confirmation of what I already believe. My analytics foundation is built on Google Analytics 4, Google Tag Manager, and cross-platform attribution modelling. I build conversion tracking infrastructure that connects marketing activity to real business outcomes — leads, bookings, sales — not surface metrics like impressions alone.

I work across two layers of analytics:

  • Operational data — campaign-level performance, channel efficiency, and audience behaviour used for weekly optimisation
  • Strategic data — customer acquisition cost, lifetime value, channel contribution, and Marketing Efficiency Ratio used for quarterly budget and planning decisions

I also build live dashboards in Looker Studio that give leadership real-time visibility without needing to request reports. Data should drive faster decisions at every level — not sit in a spreadsheet only the marketing team can interpret.

04 How do I manage and allocate paid advertising budgets responsibly?

I connect every budget decision directly to customer acquisition economics. My starting point is always the maximum allowable CPA — derived from customer lifetime value and margin — which anchors all spending decisions to profitability rather than volume.

I apply a 70/20/10 allocation model: 70% into proven high-performing channels and campaigns, 20% into scaling emerging opportunities with demonstrated potential, and 10% into structured experimentation of new channels, audiences, and formats. This prevents two common failures — over-caution that leaves growth on the table, and over-speculation that wastes budget on unproven channels simultaneously.

I review allocation monthly against revenue contribution data and present recommendations to leadership with clear financial justification — not just marketing rationale. Budget decisions should be as rigorous as any other capital allocation in the business.

05 How do I collaborate across sales, product, and leadership teams?

Marketing’s output is only as strong as its integration with the rest of the business. My cross-functional approach is built on shared definitions of success and transparent communication across every team I work with.

With sales teams, I prioritise alignment on lead quality — not just volume. I build feedback loops where sales data on why leads convert or don’t feeds directly back into targeting, messaging, and offer strategy. The marketing-sales disconnect is one of the most expensive structural failures in most organisations, and I work actively to eliminate it.

With product teams, I ensure messaging accurately reflects capabilities and that campaign intelligence on customer demand and objections informs product priorities.

With leadership, I communicate in the language of business outcomes — revenue, ROI, CAC, market share. My MBA gives me the financial and general management vocabulary to contribute credibly at board and executive level — not just as a channel specialist but as a strategic growth contributor.

06 What is my experience with AI and how do I apply it to marketing?

My MBA specialisation in Artificial Intelligence gives me a foundational understanding of how machine learning systems operate — not just how to use them as surface-level tools. In a marketing context this matters because I understand why an AI-driven campaign behaves as it does, how to structure inputs so algorithmic platforms perform at their ceiling, and where human strategic judgment must override automation.

I apply AI across four areas in practice:

  • Campaign optimisation — leveraging Smart Bidding and Advantage+ with correctly structured conversion signals so algorithms optimise at scale
  • Answer Engine Optimisation (AEO) — structuring content and technical architecture so the brand appears in AI-generated responses from ChatGPT, Perplexity, and Google AI Overviews
  • Marketing automation — building trigger-based workflows that deliver personalised communications at scale without manual overhead
  • Predictive analytics — using GA4 predictive audiences and CRM modelling to prioritise high-LTV acquisition targets

AEO is something I treat as a strategic priority for any forward-looking marketing function. Organisations not optimising for AI-generated search today are building a visibility gap that will be very difficult to close in two to three years.

07 How do I measure and present marketing ROI to senior leadership?

Presenting ROI to leadership means translating marketing data into financial outcomes — not bringing click-through rates to a CFO. My reporting framework centres on the metrics that carry weight at the executive level:

  • Customer Acquisition Cost (CAC) relative to Customer Lifetime Value (LTV) — the fundamental unit economics of sustainable growth
  • Marketing-attributed revenue — connecting campaign investment to closed revenue through CRM integration
  • Marketing Efficiency Ratio (MER) — total revenue divided by total marketing spend — as a clean top-line performance indicator
  • Payback period — the number of months to recover the cost of acquiring a customer

I address attribution complexity honestly — acknowledging that no single model tells the complete story and triangulating across platform data, CRM data, and post-purchase surveys. Leadership trusts marketing professionals who present nuanced, honest data far more than those who cherry-pick numbers that flatter campaign performance.

08 How do I stay current with digital marketing developments and apply new knowledge?

Digital marketing changes faster than almost any other discipline — algorithm updates, privacy regulation shifts, new AI capabilities, platform releases — and falling behind has direct consequences on performance. I stay current at two levels.

At the knowledge level, I follow primary sources directly — Google Ads and Meta product announcements, McKinsey and Gartner research on AI adoption, and practitioner communities where real-world data surfaces faster than formal publications. My active certifications in Google Ads and Meta Ads require regular renewal and updated assessment.

At the application level, I maintain a structured testing practice — allocating a portion of campaign budget to piloting new features and formats before they become mainstream. By the time a capability is widely adopted, I already have empirical data on how it performs. Being an early practitioner of emerging capabilities is one of the most durable competitive advantages in performance marketing — and I treat it as a professional discipline, not an occasional activity.

09 How do I handle a campaign that is underperforming against targets?

Underperformance is a normal part of performance marketing — the measure of a good marketer is how quickly and systematically they diagnose and correct it. My process follows a structured diagnostic hierarchy: I isolate whether the problem sits at the campaign level (targeting, bidding, budget), the ad level (creative, copy, format), or the landing page level (conversion rate, message match, load speed). These require completely different fixes — conflating them wastes time and produces bad data.

When a campaign drops below its KPI benchmarks, I:

  • Run a structured data analysis across the full conversion funnel to locate the specific drop-off point
  • Form a precise hypothesis about the cause before making any change
  • Implement one change at a time to preserve clean causality in the data
  • Define a clear evaluation window and success criterion for each intervention

The principle I hold firmly: panic-driven changes are worse than no changes. They destroy data integrity and make the real problem harder to find. Disciplined diagnosis, transparent stakeholder communication, and systematic correction is what builds credibility over a career.

10 Where do I see digital marketing heading and how am I preparing for it?

Three structural shifts are defining the next five years of digital marketing — and I have deliberately built my skillset around all three.

First — AI-native campaign management. The marketer’s role is shifting from manual execution to intelligent system design. The professionals leading marketing functions in 2027 and beyond will be those who understand how to architect AI-driven systems — structuring data inputs, conversion signals, and creative frameworks so algorithmic platforms operate at their highest capability. My MBA in AI positions me at the front of this transition, not behind it.

Second — the fragmentation of search. Google’s dominance as the single gateway to information is eroding as users shift to ChatGPT, Perplexity, voice assistants, and social search. Organisations optimising only for traditional Google rankings are already losing visibility. My AEO specialisation directly addresses this — building brand presence across every search modality simultaneously.

Third — privacy-first marketing. Third-party cookies are disappearing, iOS tracking restrictions are tightening, and data privacy legislation is expanding globally. Marketers who build first-party data strategies, server-side tracking, and contextual targeting capabilities now will hold structural advantages that are very difficult to replicate later. I have already integrated Conversions API, enhanced conversions, and first-party audience building into my standard practice.

I am not simply aware of these shifts — I am actively building the competencies that define high-performance marketing leadership through them.