Performance Marketing · Growth · Automation

I turn marketing into measurable business outcomes.

I'm Kaustubh Nagapurkar — a performance marketer working across Meta Ads, Google Ads, lead generation, Amazon SEO, analytics, conversion tracking and marketing automation.

Kaustubh Nagapurkar
01 / Real campaign evidence

Numbers from my actual Meta Ads reporting.

The figures below come from my exported Meta Ads Manager report for March 1, 2025–October 8, 2026. I use the data directly rather than inventing revenue or ROAS.

₹122,898Meta ad spend
559Tracked lead outcomes
857Messaging conversations
82Phone calls
17,545,034Reported impressions
14,930,408Reported reach

Source: exported Meta Ads reporting data. Reach and impressions are reported totals from the export and are not presented as unique combined audiences across campaigns.

03 / Four case studies

Real campaigns, explained like a marketer.

These case studies use the uploaded Meta Ads reporting data. Where the export does not prove a one-month timeline or revenue result, I have deliberately not claimed it.

Case Study 01 · Real Estate

Property Lead Generation

Objective: Generate property enquiries from targeted paid-social traffic.

My role: Campaign execution, performance monitoring, lead handling/follow-up and analysis of acquisition efficiency.

107 leads

Spend: ₹6,645.71 · Blended CPL: ₹62.11 · Impressions: 145,959

Approach: Focus on lead-generation campaigns, monitor cost per lead, identify stronger campaign/ad-set combinations and connect the paid lead with the next sales step.

Learning: Lead generation is not complete at form submission; lead quality and follow-up need to be considered alongside CPL.

Case Study 02 · Education

School Lead Generation

Objective: Acquire education-related enquiries through Meta lead campaigns.

My role: Campaign monitoring, audience/performance analysis and lead acquisition management.

151 leads

Spend: ₹14,356.78 · Blended CPL: ₹95.08 · Impressions: 599,898

Approach: Evaluate lead volume against cost, monitor delivery and use campaign-level data to understand which acquisition setup deserves attention.

Learning: A higher lead count is not automatically better; cost, intent and downstream handling should be evaluated together.

Case Study 03 · Solar

Solar Enquiry Generation

Objective: Generate enquiries for a solar-related local-business campaign.

My role: Paid-social campaign management and performance analysis.

20 leads

Spend: ₹855.16 · Blended CPL: ₹42.76 · Impressions: 33,454

Approach: Track lead volume, spend and CPL while using the campaign objective to judge performance rather than optimizing only for reach or clicks.

Learning: Small campaigns still need disciplined measurement; CPL and lead quality provide a clearer decision framework than impressions alone.

Case Study 04 · High-volume lead campaign

New Leads Campaign

Objective: Drive a high volume of tracked lead outcomes through Meta.

My role: Campaign performance analysis, lead-generation optimization and cost-per-result evaluation.

165 leads

Spend: ₹2,019.07 · Cost per lead: ₹12.24 · Reach: 13,889

Approach: Use the reported result and cost data to identify efficient acquisition and understand what a scalable lead-generation setup can look like.

Learning: A low CPL is useful, but the next optimization should be to validate lead quality and downstream conversion.

03 / My marketing system

Ads are only one part of the funnel.

My workflow is built around the complete customer journey: research, acquisition, conversion, measurement, optimization and automation.

My growth operating system

FULL FUNNEL
ResearchAudience · intent
→
AcquireMeta · Google
→
ConvertLanding pages
→
MeasureAnalytics · CRM
→
OptimizeTest · improve
→
Automaten8n · Make.com
TOOLS & CHANNELSMeta AdsGoogle AdsWhatsAppAnalyticsAmazonEmail / SMS
04 / Capability stack

What I can bring to a marketing team.

Meta AdsLead generation, messaging, awareness, audiences, budgets, testing and performance analysis.
Google AdsSearch campaigns, keyword research, ad copy, conversion tracking and optimization.
AnalyticsCTR, CPC, CPM, CPL, CPA, conversion rate, cost per result and funnel analysis.
Amazon SEOKeyword research, listings, backend search terms, BSR and organic marketplace growth.
SEO & ContentSearch intent, on-page optimization, content strategy and organic acquisition.
Automationn8n, Make.com, WhatsApp workflows, lead follow-up and reporting automation.
Professional team collaborationClient project collaboration
05 / About me

Hands-on, practical and focused on results.

I enjoy working close to the real business problem — understanding the offer, running campaigns, looking at the numbers and making the next optimization.

I also enjoy cooking outside of work, which keeps me curious, practical and creative — the same mindset I bring to campaign testing and problem solving.

06 / Let's connect

Looking for a performance marketer who thinks beyond the ad?

I'm open to performance marketing, paid media, growth marketing and marketing automation opportunities.