AI digital marketing & growth architecture

Marketing built
for the AI era,
measured in revenue.

I'm Saksham Jain. I design AI media systems, programmatic SEO pipelines and WebGL experiences that compound pipeline — not impressions. Most brands grow at agency speed; mine move at 3.5× execution velocity.

$4.5M+
Ad Spend Optimized
+340%
Average ROAS Lift
120+
AI Marketing Workflows
15M+
Organic Reach Scaled
Live growth modelOnline

Loading neural model

WebGL

Neural bidding +380%
Programmatic SEO 800+ pages

Drag to explore the model. Built with Three.js — the same stack behind the WebGL experiences shipped for clients.

$4.5M+ ad spend managed+340% average ROAS lift99.4% server-side attribution800+ programmatic SEO pagesLLM creative pipelines3.5× execution velocity

Interactive simulator

Model the growth curve
before you spend.

Move the three levers that actually determine paid performance — media budget, audience precision and creative volume — and watch the projected return reshape in real time.

Illustrative model · based on live client benchmarks

Strategy assumptions

$10,000
$1,000$25,000$50,000
88%
Broad · 50%Standard · 75%Hyper-targeted · 99%
45
550100

Projected ROAS

5.0×

Est. revenue

$50K

CAC reduction

−50%

Predictive ROAS surfaceLive

Rendering predictive surface

Budget × precision density5.0× ROAS

How the engine works. Server-side conversion signals feed a predictive bidding model instead of manual weekly tweaks. Bids and creative variants refresh every six hours, so budget follows probability rather than habit.

Traditional agency

1.8× ROAS

  • Manual weekly campaign adjustments
  • 2–4 static creative variants per month
  • Client-side pixels with 30%+ signal loss
  • Retainer-heavy, slow turnaround cycles

Est. monthly return $18,000

Saksham's AI engine

5.0× ROAS

  • Algorithmic micro-bidding every six hours
  • 45+ AI copy and visual variants monthly
  • Server-side CAPI tracking at 99.4% precision
  • Direct ROI dashboard with 3.5× execution velocity

Est. monthly return $50,000

Instant strategy engine

Ask the strategist
what to do next.

Enter four parameters and the engine returns a channel split, a projected return and a dated 30-day execution plan — the same framework used in paid engagements.

Business parameters

Engine online

Quick autofill

Your blueprint appears here

Fill in the parameters to generate a projected return, a channel split and a 30-day plan built from your inputs.

Projected ROASChannel allocation30-day roadmapAI tool stack

Capabilities

Four disciplines,
one growth system.

Machine learning, performance media, search architecture and engineering — run as one system rather than four disconnected retainers.

AI & Marketing Automation

Architecting autonomous AI engines for audience hyper-segmentation, programmatic content production, and dynamic ad copy variations.

LLM Marketing Pipelines (OpenAI / Claude APIs)95
Predictive Lead Scoring & Churn Modeling90
Programmatic SEO & AI Content Generation98
Automated Email & WhatsApp Nurture Funnels92
Synthetic Customer Persona Simulation88
LLM Prompt TuningPyTorchMeta Advantage+Google PMax

Performance & Paid Media

Data-driven media buying powered by AI algorithmic bidding, conversion rate optimization (CRO), and advanced multi-touch attribution.

Meta Ads (Advantage+ & AI Bidding)96
Google Ads (Performance Max & Search)94
TikTok & LinkedIn Programmatic Ads89
Landing Page CRO & A/B Testing95
Cookieless Multi-Touch Attribution90
Meta CAPIGoogle Ads CAPIBigQuery SQLTriple Whale

SEO & Growth Architecture

Dominating search engine results through AI semantic keyword clusters, technical SEO automation, and viral growth loops.

AI Semantic Search Optimization (SGE & Perplexity)96
Technical SEO & Core Web Vitals92
Automated Competitor Intelligence94
Viral Growth Loops & Referral Funnels88
Schema.orgProgrammatic NodesGA4 SQLSearch Console API

Tech Stack & Web Development

Building ultra-fast, high-converting interactive web apps, 3D WebGL brand microsites, and custom marketing analytics dashboards.

Next.js / React / TypeScript90
Three.js / WebGL / GSAP 3D Visuals85
Node.js Backend & API Integration88
Python (Pandas, Scikit-Learn for Marketing)86
Google Analytics 4 & BigQuery SQL92
Next.js 16React 19Three.jsGSAPTailwindCSS

Selected work

Outcomes, not
impressions.

Three engagements, three different growth constraints. Each one rebuilt the system behind the number rather than optimising the number itself.

Case Study #1FinTech & SaaS

Neural Audience Bidding Engine

Built a custom Python/Node.js predictive model that dynamically shifts ad budget across 40+ Meta & Google micro-audiences based on real-time conversion probability signals.

ROAS Lift+380%
CAC Reduction-42%
Scale$1.2M Spend
  • Real-time API conversion signal ingestion
  • Dynamic creative rotation based on user sentiment analysis
Meta Advantage+Google PMaxPython AI Model
Read the breakdown
Case Study #2E-Commerce & B2B Marketplace

AI Programmatic SEO Factory

Architected an automated content factory using fine-tuned Claude 3.5 & OpenAI models to generate 800+ high-intent programmatic landing pages with structured schema markup.

Organic Impressions12.4M
Pages Indexing Rate99.2%
Organic Revenue+210%
  • Semantic topic clustering & intent classification
  • Automated human-in-the-loop fact checking pipeline
Next.js App RouterClaude 3.5 Sonnet APIVector DB
Read the breakdown
Case Study #3Web3 & Premium Consumer Tech

WebGL 3D Brand Experience

Created an immersive, interactive 3D WebGL product showcase using Three.js and GSAP scroll interactions, increasing landing page conversion rates by 3.2X over traditional layouts.

Avg Session Duration4m 12s
Conversion Rate8.4%
Social Shares45K+
  • Real-time 3D lighting adaptation based on visitor timezone
  • AI personalized copy overlay dynamically tailored to traffic origin
Three.jsReact Three FiberGSAP ScrollTrigger
Read the breakdown

Client words

What growth leaders
say after the numbers land.

Endorsements from founders, CMOs and product leads who scaled on algorithmic growth models.

01 / 03
+380% ROAS lift
“Saksham replaced our traditional agency and built a custom neural bidding pipeline in under three weeks. Customer acquisition cost dropped 42% while monthly ad revenue tripled.”
MV

Marcus Vance

VP of Growth · Aether SaaS & FinTech

12.4M impressions
“The programmatic SEO engine Saksham deployed indexed over 800 high-intent pages in 30 days. We now capture non-branded search traffic our competitors pay $12 a click for.”
ER

Elena Rostova

Founder & CEO · Lumina DTC Apparel

3.2× conversion lift
“Saksham's WebGL landing page transformed our launch. Average session duration passed four minutes and our conversion rate reached 8.4%.”
DS

David Sterling

Head of Product Marketing · Apex Web3 Configurator

Trusted by high-growth teams
Aether FinTechLumina DTCApex Web3Vertex SaaS

Questions

Answers, before you ask.

Saksham Jain specializes in AI Digital Marketing, Growth Architecture, Programmatic SEO Engine construction, Algorithmic Media Buying (Meta Advantage+ & Google PMax), Cookieless Server-Side Attribution, and Interactive 3D WebGL Web Application Development.

Still deciding?

Bring one specific question.

Book a short strategy session and get a direct read on your funnel, search footprint and measurement stack.

Next step

Tell me where
the funnel
leaks.

Whether it is acquisition, attribution or conversion, the first conversation is a diagnosis — not a pitch.

Availability

Q3 / Q4 growth audits · 2 slots

Response time

Within one business day

Book a growth consultation

A few details are enough to prepare a useful first call.

No newsletter. No sales sequence. Just a reply from Saksham.