Janardhan Nagaiahgari
HIRE ME

I BUILD ROBUST
MARKETING TECH & ATTRIBUTION
SYSTEMS.

Refactoring tracking infrastructure to bypass privacy constraints. I deploy server-side GTM, Conversions API (CAPI), and BigQuery marketing data warehouses to feed ad platforms clean, deduplicated purchase signals.

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Years of Scaling
0
Ad Spend Deployed
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Attributed Revenue
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Brands Accelerated
SCALE YOUR ACQUISITION ANALYZE MY PLAYBOOK
Janardhan Nagaiahgari - Performance Marketing Architect & Revenue Architect
BLENDED ROAS
12.5X
Cross-Channel Portfolio
LTV:CAC RATIO
4.2x
SaaS Portfolio Avg
CPA REDUCTION
-38%
Within First 90 Days
REVENUE GENERATED

₹120Cr+

Attributed scale across SaaS, D2C, and Lead Gen.
ROAS DELIVERED

12.5X Avg

Optimizing blended marketing efficiency ratio (MER).
LEADS GENERATED

70,000+

High-intent sales-ready inquiries & SQLs.
MARKETS SCALED

15+ Countries

Acquisition setups across US, EU, MENA, & APAC.
AD SPEND MANAGED

₹200Cr+

Efficient allocation across Meta, Google, & Programmatic.

Most businesses
don't need more traffic.
They need
profitable growth.

Traffic is a vanity metric if your conversion infrastructure is leaking. I architect systems that optimize every point of the funnel, prioritizing unit economics and incremental margin expansion.

01

Unit Economics First

We balance customer acquisition cost (CAC) against lifetime value (LTV) and payback periods, ensuring that scaling doesn't erode your margins.

02

Attribution Integrity

Bypassing signal loss from iOS 14+ through server-side tagging, conversion APIs, and marketing mix modeling (MMM) to establish clean data loops.

03

Iterative Creative Sprints

Creative is the new targeting. We systematically test hook angles, psychological triggers, and formats to beat creative fatigue and sustain performance.

Traffic Volume vs Profit Scaling

Traffic Revenue/Profit

PROFESSIONAL JOURNEY

2015 - 2017

Paid Acquisition Specialist

Mastered SEM arbitrage, search engines bidding models, and content syndication. Set up early-stage tracking models for multi-channel acquisition.

2017 - 2019

Performance Marketing Lead

Directed media buying teams in fast-paced agency environments. Managed over ₹30Cr in active ad spend while scaling customer databases for major e-commerce brands.

2019 - 2022

Independent Growth Consultant

Helped series-A scaleups structure their growth engines. Implemented cohort retention tactics, custom lead scoring protocols, and marketing automations.

2022 - 2025

Global Growth Partner

Expanded domestic market leaders into international arenas (US, EU, Middle East). Supervised multi-million dollar ad accounts while maintaining LTV:CAC targets.

2026 - Present

Revenue Architect

Integrating paid media, landing page optimization (CRO), data warehouses (BigQuery), and lifecycle communication to build fully automated and predictable growth engines.

AD SPEND DISTRIBUTION (₹200Cr+)

₹200Cr+ Scaled responsibly with unit economic safety guardrails

VERTICALS SCALED

SaaS
Fintech
Edtech
Healthcare
D2C
Real Estate
Travel
E-comm
B2B
Other

Different verticals. Distinct customer journeys.
Consistent outcome: Profitable scaling.

IMPACT ANALYSIS

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Peak ROAS
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Users Acquired
0
CTR Uplift
0
Average CAC Drop
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ARR Growth
0
Conversion Rate
0
Pipeline Value
0
Client Retention
ENGAGEMENTS & ACCELERATED BRANDS
( Past and present accounts scaled, consulted, or managed directly )
PROVEN CASE STUDY ARTIFACTS

Growth Experiments & Performance Breakthroughs

CHALLENGE & BOTTLENECK

Low pixel match rate (52%), high customer acquisition cost (CAC) on Meta Ads, creative fatigue within 7 days, and an unoptimized checkout flow yielding 1.2% conversion rate.

PERFORMANCE STRATEGY

Integrated server-side tracking (GTM Web + Server Container) via Cloudflare to improve attribution. Created a creative matrix testing 12 distinct hooks, and streamlined checkout UX.

EXECUTION PROTOCOL

Set up dynamic catalogs, restructured Facebook campaigns into simplified CBO/Advantage+ setups. Launched post-purchase upsell routines and automated WhatsApp flows.

BUSINESS RESULTS

Attained 5.2x Blended ROAS, achieved 320% Revenue growth, reduced CAC by 42%, and scaled brand successfully to ₹10Cr ARR in 12 months.

D2C REVENUE SCALING ₹10Cr+ ARR

₹0 → ₹10.5Cr

12 Month Cohort Scaling

MY REVENUE PIPELINE PLAYBOOK

1

1. Infrastructure Audit

Mapping pixels, verifying server-side attribution, verifying UTM taxonomy, and identifying immediate leaks in the conversion funnel.

→
2

2. Cohort Diagnostics

Analyzing customer cohorts, CAC payback intervals, AOV patterns, and historical LTV ratios to define optimal target bids.

→
3

3. Campaign Deployment

Structuring simplified ad account hierarchies, setting up dynamic creatives, and publishing high-performing landers (CRO).

→
4

4. Scaling Execution

Executing horizontal scaling (new target categories) and vertical scaling (bid multipliers) based on blended MER metrics.

→
5

5. Feedback Automation

Syncing downstream sales events back to native pixels (Offline Conversions API) to feed machine-learning bidding algorithms.

MARTECH STACK ARCHITECTURE

Google Ads
Meta Ads
Google Analytics 4
Looker Studio
Google Tag Manager
Google BigQuery
HubSpot CRM
Klaviyo Flows
ActiveCampaign
Zapier Webhooks
Shopify Engine
Webflow / CRO

CLOSED-LOOP ATTRIBUTION PIPELINE

Ad Click
→
Land (1st Party Cookie)
→
Server API Hook
→
CRM Closed Deal
→
BigQuery Attribution
→
Pixel Training
Bidding Algorithms Fed with Revenue Data, Not Just Session Clicks

ACQUISITION CHANNELS CAPABILITY

EXPERIMENT SPRINT VELOCITY

1,200+ A/B Funnel Split Tests
10,000+ Creative Variations Tested
350+ High-Converting Landing Pages
"Continuous rapid experimentation is the only hedge against rising ad marketplace inflation."

ACQUISITION BENCHMARKS

12.5X
Avg Blended ROAS
240%
ARR Scale Target
-38%
CAC Drop Avg
70,000+
Qualified Conversions
15+
Geographies Deployed
150+
Optimization Audits
95%
Retention Metric
₹120Cr+
Trackable Revenue
WHAT I OFFER

Acquisition & Optimization Services

Performance Marketing

Data-first paid acquisition scaling ad budgets efficiently while preserving positive unit economics.

  • Meta & Google Ads Media Buying
  • Programmatic & DSP Bidding
  • Systematic Hook & Angle testing
  • Margin-aware Bid Management
Learn More

Growth Marketing

Full-funnel landing page optimizations, retention engineering, and cohort lifetime value expansion.

  • Funnel Conversion Rate Optimization (CRO)
  • Email, SMS & WhatsApp Automation
  • Cohort Analysis & Retention Loops
  • Average Order Value (AOV) Expansion
Learn More

Digital Transformation

Refactoring conversion tracking, closing attribution loops, and migrating offline CRM signals to native pixels.

  • Server-side GTM & Pixel CAPI Setup
  • BigQuery Data Warehousing & Modeling
  • Real-time MER & ROAS Dashboards
  • Offline Conversion Sync Pipelines
Learn More

CREDENTIALS & COMPLIANCE

Google Search & Measurement Certified
Meta Certified Buying Professional
HubSpot Growth Suite Certified
SEMrush Technical Audit Expert
LinkedIn Marketing Certified Professional
Top 50 Growth Marketer Award

DIFFERENTIAL ADVANTAGE ANALYSIS

TYPICAL MARKETER
JANARDHAN
Focuses on CPC & Clicks
Focuses on CPA, MER, & LTV
Uses standard pixel trackers
Server-side CAPI integrations
Runs arbitrary creative A/B tests
Systematic hook & angle matrix
No integration with backend CRM
Closed-loop pipeline automations
Treats traffic as the end goal
Full funnel conversion optimization
Unpredictable scaling drops
Predictable payback modeling
COMMON QUESTIONS

Digital Transformation FAQ

Why should we migrate from browser-based pixels to server-side GTM?
Browser-based pixels are easily blocked by ad blockers and restricted by Safari's 7-day cookie expiration. Server-side tracking routes data through your own subdomain, preserving tracking cookies and restoring lost data.
How does Conversions API (CAPI) improve Meta match quality scores?
By combining browser actions with server-recorded data. I enrich server event payloads with hashed identifiers (e.g. emails, phone numbers, IP addresses) which Meta uses to match conversions to user profiles.
What are the benefits of a Google BigQuery marketing data warehouse?
It centralizes raw advertising spend, web sessions, GA4 events, and CRM transactions, allowing you to run custom SQL calculations for blended MER, ROAS, and multi-touch attribution.
How do you implement offline conversion sync pipelines for CRMs?
I write secure API connectors (or setup webhook triggers) that detect closed-won sales in your CRM (HubSpot/Salesforce) and automatically send those milestones to Google and Meta Ads pixel servers.
What is server-to-server tracking deduplication and how do you handle it?
When both the browser and server send the same event (like a purchase), platforms will double-count unless deduplicated. I resolve this by attaching matching event_id values to both signals.
How do you address Safari's Intelligent Tracking Prevention (ITP) constraints?
By proxying server GTM through your custom domain in a first-party context, preventing Safari from identifying and shortening cookie lifespans.
What is multi-touch attribution (MTA) modeling and how do you build it?
It distributes purchase credit across all conversion touchpoints (first click, last click, linear). I write custom SQL scripts in BigQuery to compile user paths across ad channels.
How do you guarantee user privacy compliance (GDPR/CCPA) under server GTM?
I integrate your consent management banner (Cookiebot/OneTrust) with sGTM. Personal data is redacted or hashed on your server container before forwarding to advertising platforms.
What cloud infrastructure is required for server-side containers?
I deploy containers using Google Cloud Run or Stape.io instances, establishing auto-scaling parameters to manage traffic spikes during peak campaign scaling.
How do we sync ad spend API data with CRM revenue figures in real time?
By writing ETL sync scripts that pull ad cost metadata from Meta and Google APIs, matching them with CRM order parameters to deliver real-time profitability dashboards.

READY TO SCALE YOUR ACQUISITION?

Let's audit your attribution pipelines and build a compounding revenue engine.

10+ Years of Scaling ₹200Cr+ Managed Spend ₹120Cr+ Attributed Revenue 15+ Markets Served
BOOK AN ATTRIBUTION AUDIT CALL