ABOUT SUMIT DHANKHAR
14+ years across digital marketing, technology and delivery. Now combining performance growth with practical AI.
- BACKGROUND
- Digital marketing, tech & delivery
- CURRENT FOCUS
- Performance Marketing + AI Systems
MY JOURNEY
From technical delivery to performance marketing and practical AI.
I began with web development and digital projects, moving progressively into project management, digital marketing and commercial delivery. Working across these areas gave me a direct view of how businesses acquire customers, where marketing spend is wasted and how internal follow-up breaks down.
A significant part of my delivery career was spent working directly with international clients, particularly in Australia, managing technical delivery and measurable digital campaigns. That experience reinforced that technology is only as good as the commercial outcomes it produces.
As automation and AI evolved, smaller teams gained the ability to deliver what once required large agencies. Today, I deliberately apply that combined experience to Indian businesses, helping founders generate demand through performance marketing and streamline their lead, customer-service and call workflows with practical AI.
EXPERIENCE
14+ years across digital marketing, technology and delivery.
14+ YEARSACROSS MARKETING,
TECHNOLOGY AND DELIVERY
TECHNOLOGY AND DELIVERY
My background bridges advertising economics, technical implementation and client operations. I look beyond isolated channels or tools to build systems that produce qualified customers and measurable returns.
This helps me connect advertising spend directly to sales follow-up and business workflows that teams can manage.
- 01
Performance Marketing
Planning and executing search and social campaigns across Google Ads and Meta Ads focused on qualified acquisition and customer acquisition cost.
- 02
Digital & Technical Delivery
Designing conversion-focused landing pages, server-side tracking, analytics infrastructure and robust technical handoffs.
- 03
Project & Client Leadership
Managing scope, commercial expectations, timelines and execution from initial strategy to live deployment.
- 04
AI Growth Systems
Designing practical AI workflows for enquiry capture, lead qualification, customer service routing and voice operations.
WHY THIS MATTERS
Growth requires customer acquisition and reliable follow-up.
Generating ad clicks is not enough if leads stall in the inbox. Automating workflows is pointless if nobody is enquiring.
Combining performance marketing with practical AI connects both ends of the funnel: acquiring high-intent prospects and ensuring every enquiry is qualified, assigned and tracked to a commercial outcome.
That is why I start with practical questions:
- 01
Who is the qualified buyer, and what search intent or audience signals indicate genuine commercial interest?
- 02
What happens after the click: does the landing page convert, and does the enquiry receive an immediate response?
- 03
Who owns the lead: is the prospect assigned to a named salesperson with complete context?
- 04
How is performance measured: can we connect ad spend directly to qualified pipeline and revenue?
CORE PRINCIPLES
How I approach growth and AI systems.
Commercial growth should be measurable, sustainable and grounded in practical unit economics rather than vanity metrics.
- 01
Measurement before scale
Define conversion milestones and verify lead quality before scaling advertising budgets.
- 02
Process before automation
Understand the customer journey and team responsibilities before introducing automation.
- 03
AI where it creates real value
Apply AI to specific bottlenecks like qualification and follow-up, keeping human judgment in control of commercial decisions.
- 04
Be honest about limitations
Be transparent about campaign testing requirements, tracking limitations and where people remain essential.
DISCUSS YOUR GROWTH
Looking to acquire more customers or improve your lead workflows?
Share your current marketing channels, sales process or operational bottlenecks. I review every enquiry personally and will explain whether performance marketing or practical AI is the right fit.