Founder · 02 / 04 · Abhimanyu
Founder · DeepFlux (agency) → Partner · go, pal! (AI studio) · 2018 →
Professional Cloud Architect · CDP · CLM · Gen-AI
Shipped for · Prime Video · Disney · Walmart · PNB · Jugnoo
Box-office prediction · 80% pre-launch · 85%+ post-launch
14 years · BFSI · Entertainment · QSR · martech & AI
BITS Pilani · NITIE Mumbai · go, pal!
Founder · 02 / 04 · go, pal!

Abhimanyu

Martech architecture & strategy — fourteen years turning board-room ambition into deployed, production AI systems.

Professional Cloud Architect and martech lead. Fourteen years across BFSI, Entertainment, and QSR — the three verticals where data infrastructure either runs or quietly collapses. Went from founding an agency to building the AI systems that go inside them. Most first conversations with clients run through Abhimanyu.

Education
BITS Pilani · NITIE Mumbai
Based
Delhi, India
Experience
14 years · martech, AI & cloud
First conversation
30 minutes · no deck · no pitch
01
14
Years · BFSI · Entertainment · QSR
02
6
Marquee brands · Disney, Prime Video, Walmart…
03
85%+
Box-office model accuracy · post-launch
04
3
Core stack · CDP · CLM · Cloud

Decisions,
not deliverables.

Abhimanyu has spent fourteen years on the machinery of martech — the part that turns a board-room ambition ("grow retention," "lift CLTV") into a deployed system with named owners and a number that moves. A Professional Cloud Architect by certification and a builder by instinct, he architects composable CDPs, campaign-optimization engines, and the Gen-AI and predictive-analytics layers that sit on top of them.

His company DeepFlux has shipped this work for Prime Video, Disney, Walmart, PNB, Jugnoo and Cypress — across three prime verticals: Entertainment (box-office and streaming), BFSI (retention and cross-sell), and QSR (lifecycle and loyalty). The predictive lane runs deep: box-office models that call First-Day and lifetime collections for studios, then steer show allocation, pricing and screen mix city by city.

He grew up through the agency world — Group Head at PivotRoots, then founding DeepFlux as a martech consultancy — before the brief evolved from deploying third-party tools to building AI systems that ship to production. That arc shapes how he runs engagements: he knows exactly what a brand wants from a technology partner, because he's been that partner. He's the first conversation most clients have with go, pal! — 30 minutes, no deck. Good strategy, to him, names what to do, who owns it, and how you'll know it worked.

Strategy that survives contact with the data.

Signature discipline
Composable CDP architecture Customer Lifecycle Management Campaign optimization Gen-AI · text-to-query Predictive analytics
Cloud & tooling
Google Cloud Platform (GCP) Professional Cloud Architect Salesforce · Agentforce Braze / CEP lifecycle R · Python · attribution modeling
Operating model
Decision-first briefs Weekly loops · named owners Measure-or-kill
Prime sectors
Entertainment · Disney · Prime Video BFSI · PNB · JP Morgan · Walmart QSR · loyalty & CLM D2C / app growth Predictive market intelligence
2026 →
go, pal! · Martech & strategy
Founder · go, pal!
Sets the shape of every engagement — the decision it should change, the system that carries it, the owners and the loop. Most first client conversations run through Abhimanyu: 30 minutes, no deck, no pitch.
Business head · martech architecture
2018 →
DeepFlux · Co-Founder / Business Head
Marketing-technology consultancy
Founded DeepFlux to help organisations drive marketing ROI through technology — architecting and deploying composable CDPs, campaign-optimization engines, Gen-AI text-to-query and predictive-analytics solutions. Shipped for Prime Video, Disney, Walmart, PNB, Jugnoo and Cypress.
Composable CDP · Gen-AI · predictive analytics
Box-office prediction: ~80% pre-launch · 85%+ post-launch
2017
PivotRoots · Group Head
Marketing technology · multi-brand
Led a marketing-technology group across brands, industries and business cases — the agency-side vantage on how martech actually gets bought, deployed and measured at scale.
Group head · martech delivery
2015–17
Tookan · Head Marketing — IndiaMART · Sr. Category Manager
Growth · demand · category
Ran marketing for Tookan (Jugnoo's SaaS) and, before it, the Electronics & Electrical category at IndiaMART — demand generation, category P&L and the operating reps that come from owning a number directly.
Demand, category & growth
2012
Cypress Semiconductor · Product Marketing
Marketing analytics · BITS Pilani → NITIE Mumbai
Product marketing and marketing analytics — campaign budgeting, revenue forecasting, opportunity modeling, and post-launch channel attribution in R and Python. BITS Pilani engineering and an NITIE Mumbai MBA before it; a software-engineering and derivatives stint before that. The model-first instinct started here.
Attribution in R / Python · forecasting
Market intelligence · Film
Data-Driven Movie Prediction
Box-office prediction across the release cycle — social listening and sentiment at asset drop, a pre-launch model (~80% accuracy) and a post-launch model (85%+) that call First-Day and lifetime collections, then steer show allocation, pricing and screen mix city by city. Built for studios including Disney, Marvel, Paramount, 20th Century, JioHotstar, Star Studios and Junglee.
Read case
CDP · Architecture
Composable CDP — Built, Not Bought
Architected composable customer-data platforms for enterprise brands — identity resolution, daily cohorts, and the decisioning layer on top. Marketing ROI made measurable instead of assumed, on GCP.
Read case
Gen-AI
Text-to-Query for Marketing Data
Natural-language access to the marketing warehouse — ask in plain English, get the cohort, the spend, the lift. A Gen-AI layer over the CDP that puts the data in the hands of the people making the call.
Read case
"
The magical offer dust always settles. The job is making people stick after it does.
Abhimanyu · go, pal! · 2026
Next founder · 03 / 04
Puneet
Research · IIT Bombay
Back to firm
gopal Studio
All work · capabilities · contact