Janardhan Nagaiahgari
HIRE ME

I BUILD HIGH-CONVERTING
PERFORMANCE MARKETING
SYSTEMS.

10+ years of engineering scalable paid acquisition pipelines, managing multi-million rupee budgets, and auditing unit economics. I combine Meta Ads, Google Ads, and margin-aware bid management to scale brands profitably.

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Years of Scaling
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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
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CTR Uplift
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Average CAC Drop
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ARR Growth
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Conversion Rate
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Pipeline Value
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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.

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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

Performance Marketing FAQ

How do you optimize bidding algorithms on Meta and Google Ads?
I steer platform bidding engines by sending them high-quality conversion signals instead of raw clicks. I feed them margin-specific conversions, deduplicated event IDs, and offline qualifying metrics, helping the algorithms bid more intelligently.
What is your methodology for managing and scaling ad budgets?
I split campaigns into strict testing (sandbox) and scaling containers. Testing campaigns evaluate new creative hooks at controlled budgets, and winning variations graduate to scaling campaigns using horizontal and vertical scaling techniques.
How do you manage high ad fatigue?
By establishing a continuous creative production engine. We test fresh creative hooks, copy angles, and layouts in structural sprints, keeping a deep pipeline of assets ready to replace fatigued creative.
What is a margin-aware bid management strategy?
Instead of chasing a blanket platform ROAS, I calculate bids based on product margin profiles, processing fees, and discount rates, assuring that scaled customer acquisitions don't erode net profits.
How do you scale Advantage+ Shopping campaigns without losing efficiency?
By configuring strict budget parameters, setting maximum caps on existing customer segments, and populating campaigns with graduated creative assets to avoid performance degradation.
What is your stance on broad targeting versus detailed interest targeting?
Broad targeting is highly efficient on Meta since the algorithm targets buyers based on creative hook resonance. Interest or detailed segments are useful for sandbox tests and localized niches.
How do you configure search terms parameters on Google Ads?
By combining exact and phrase matching types with a rigorous negative keyword script list. This filters out wasteful unqualified search impressions while scaling high-intent search clicks.
What ad networks outside of Meta & Google do you buy programmatic media on?
Depending on target audiences, I scale budgets on LinkedIn Ads (ABM B2B setups), YouTube Ads (video funnels), and programmatic DSPs for high-volume banner placements.
How do you benchmark target acquisition costs (CAC) for new products?
By analyzing average order value (AOV), gross margins, projected cohort repeat purchase rates, and target payback timelines to establish a sustainable maximum CAC threshold.
Do you manage the creative production process?
I design the creative briefs, structural copywriting hooks, and visual formats based on performance analysis. I collaborate with your in-house design resources or external creators to produce the final files.

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 A PERFORMANCE AUDIT CALL