Data Intelligence · Growth Advisory

Turning Data Into
Decisions That
Build Empires.

24+ years of transforming raw data from millions of sources into strategic clarity — helping companies launch boldly, grow intelligently, and outmaneuver markets with evidence, not instinct.

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$200M+
Media decisions influenced
24+
Years of expertise
42%
Avg. CAC reduction
Bayesian MMM
Market Entry Intelligence
Customer Lifetime Value
Growth Analytics
Competitive Intelligence
First-Party Data Strategy
Business Launch Advisory
AI & ML Modeling
Revenue Attribution
Multi-Touch Attribution
Bayesian MMM
Market Entry Intelligence
Customer Lifetime Value
Growth Analytics
Competitive Intelligence
First-Party Data Strategy
Business Launch Advisory
AI & ML Modeling
Revenue Attribution
Multi-Touch Attribution
About the Advisor
Atul Mohan
24+
Years of
Excellence
Data & AI Product Executive
Atul Mohan

I am a future-facing data executive with over two decades of experience turning the world's most complex datasets into competitive advantage. My work sits at the rare intersection of rigorous data science, market intelligence, and executive business strategy — enabling companies not just to understand their numbers, but to act on them with conviction.

From helping Fortune 500 corporations optimize $200M+ media portfolios to advising entrepreneurs on how to launch and scale new ventures using market signals, consumer behavior analysis, and AI-driven forecasting — I bring the same analytical rigor to every engagement. I've built and deployed generative AI and ML models that moved the needle by double digits, and I've sat across the table from CMOs, CFOs, and Boards to translate model outputs into boardroom-ready strategy.

Ph.D., Data Analytics, Science & Engineering — Princeton University
MBA, Strategy & Marketing — University of Michigan (Ross)
B.A., Accounting — University of Delhi
Former SVP at iQuanti, Brainlabs, Imre, Omnicom, IPG MediaBrands
17 years at American Express — Built global analytics function
$200M+
Media decisions
influenced annually
60%+
Average ROI
improvement delivered
32
Global team
members led
Our Approach

Data from a Million Sources.
Clarity in One Decision.

We synthesize signals from competitive intelligence, market research databases, transactional data, consumer behavior panels, econometric models, and AI — to answer the questions that matter most to your business.

01
🔭
Market Intelligence

Deep-dive research across primary and secondary sources — industry panels, consumer surveys, competitor benchmarks, macro-economic signals, and proprietary databases — to map the opportunity landscape before you invest a dollar.

02
📡
Growth Science

We apply Bayesian MMM, causal inference, and incrementality testing to identify exactly which growth levers move your business — and quantify the ROI of each initiative before and after launch.

03
🧠
AI-Powered Strategy

From predictive CLV models to generative AI applications, we build intelligent systems that don't just report history — they forecast futures and prescribe optimal actions.

04
🏗️
Launch Architecture

For new business launches, we construct the full data infrastructure: market sizing, TAM/SAM modeling, competitive positioning, go-to-market sequencing, and early-warning KPI dashboards.

Advisory Services

Every Engagement is
Engineered for Outcomes.

Whether you're launching a new venture, scaling an existing business, or trying to decode what your data is telling you — we have a structured engagement model built for your challenge.

New Business Launch Advisory
From idea validation to launch execution
Growth & Expansion Strategy
Scale what's working, fix what's not
Marketing Mix Modeling
Bayesian MMM & Attribution Science
Customer Intelligence
CLV, Segmentation & Churn Prediction
Competitive Intelligence
Market sensing & positioning
Data Platform & AI Strategy
Modern data infrastructure advisory
New Business Launch Advisory

Launching a new business without data is gambling with your capital. We construct a rigorous launch intelligence framework — drawing from market research databases, consumer behavior panels, social listening, competitor analysis, and econometric sizing models — to give you a data-backed thesis before you go to market. From TAM/SAM/SOM modeling to early adopter profiling, go-to-market sequencing, and 90-day launch dashboards, we transform uncertainty into a strategic roadmap.

TAM/SAM/SOM Analysis Concept Testing Consumer Research GTM Sequencing KPI Architecture Competitive Mapping
Our Methodology

A Proven Analytical
Framework at Every Step

We don't believe in black boxes. Every insight we deliver is traceable, explainable, and designed to build your internal capability — not create dependency.

01
Discovery

Deep-dive into your business, market position, data assets, and strategic goals. We map the questions that matter most.

02
Data Fusion

We aggregate signals from 1M+ data sources — panels, transactions, market research, social signals, econometric indicators, and proprietary APIs.

03
Model & Analyze

Bayesian models, ML algorithms, causal inference engines, and predictive frameworks are applied to surface non-obvious insights.

04
Strategize

Insights are translated into specific, prioritized strategic actions — with confidence intervals, scenario planning, and risk quantification.

05
Execute & Iterate

We stay embedded through implementation, measuring impact, closing feedback loops, and refining the model as new data arrives.

Live Intelligence Engine
LIVE

Watch Data Change
Marketing Decisions in Real Time

This is what our AI engine does — continuously ingesting signals from millions of data points and recalibrating where every marketing dollar should go, in real time.

Bayesian MMM — Live
Budget Allocation Optimizer
OPTIMIZING
Total Budget
$12.4M
Projected ROI
3.8x
Real-Time KPI Impact
Data Signal Strength
AI Decision Engine
Live Recommendations
Incrementality — Rolling 90 Days
Revenue Attributed to Data-Driven Decisions
Before Optimization
$4.2M
After Optimization
$7.8M
Case Studies

Real Business Problems.
Measurable Results.

Across 50+ engagements spanning 12+ industries and hundreds of engagements, every project starts with the same foundation: rigorous data, honest analysis, and a relentless focus on outcomes that move the bottom line.

All Verticals
Automotive
Luxury
CPG
Technology
Financial Services
Healthcare
Retail
Media
Pharma
Hospital
Energy
Travel
Education
Automotive
Launch Intelligence for a New Electric SUV in the US Market
A global OEM needed to understand the true demand landscape and competitive white space for an EV SUV launch across 12 US metros before committing $140M in marketing spend.
37%
higher launch conversion vs. projected baseline, driven by data-informed geographic sequencing
Automotive
MMM-Driven Media Reallocation for a Mass-Market Auto Brand
A legacy auto brand was over-investing in linear TV while underutilizing digital. Bayesian MMM revealed the true ROI differential, enabling a $45M media shift.
$45M
in media spend optimized with 29% improvement in cost-per-test-drive
Luxury
Customer Lifetime Value Modeling for a Global Luxury Fashion House
A European luxury brand entering the US needed to identify their highest-value customer cohorts and build retention strategies before their NYC flagship opening.
70%
ROI uplift on VIP acquisition programs through CLV-weighted targeting
Luxury
Competitive Positioning Intelligence for a Heritage Watch Brand
A Swiss watchmaker wanted to understand shifting consumer sentiment across digital channels and reposition against new DTC luxury competitors entering their price tier.
+28%
increase in aspirational segment share of voice after data-guided repositioning
CPG
New Product Launch Validation for a Clean Beauty Brand
A founder-led skincare brand needed to validate product-market fit across teen and young adult segments before committing to a national retail distribution deal.
3.2×
higher sell-through rate vs. category average, attributed to data-driven assortment and pricing decisions
CPG
Trade Promotion Optimization for a Beverage Company
A mid-size beverage manufacturer was spending 18% of revenue on trade promotions with no clear measurement of which promotions drove incremental volume vs. cannibalization.
22%
reduction in trade spend with equivalent volume — $11M saved in Year 1
Technology
B2B SaaS Market Entry Strategy Using Intent Signal Intelligence
A Series B enterprise SaaS company needed a data-backed market entry plan for 4 new verticals, with buyer intent signals, competitive pricing analysis, and ICP modeling.
58%
faster sales cycle in priority verticals identified by intent and fit scoring models
Technology
Churn Prediction & Retention Architecture for a Consumer App
A mobile-first tech company was losing 34% of users within the first 90 days. ML-based churn prediction models were built to identify at-risk users and trigger intervention sequences.
−31%
churn reduction in 6 months, adding $9.4M in annualized retained revenue
Financial Services
Bayesian MMM for a $350B+ Asset Management Portfolio
A leading financial institution needed to understand the true incremental contribution of each media channel on net cash flow across institutional and retail investor segments.
60%
reduction in reporting refresh time; model directly informed CMO/CFO investment decisions
Financial Services
Credit Product Launch Strategy for a Challenger Bank
A digital-first bank launching a new credit card product needed to identify their highest-propensity-to-convert customer segments and optimal acquisition channels in a saturated market.
42%
reduction in customer acquisition cost (CAC) within the first 12 months post-launch
Financial Services
AI-Powered Credit Risk Modeling for a Credit Union
A $5B credit union needed to modernize its credit underwriting approach using explainable AI — reducing default rates while maintaining compliance with fair lending regulations.
20%
reduction in loan default rate with 35% improvement in underwriting accuracy
Healthcare
Omnichannel Attribution for a DTC Prescription Drug Campaign
A pharma company running a $60M DTC campaign across TV, digital, and social needed to understand which touchpoints actually drove patient adherence — not just awareness.
+34%
patient adherence and 22% increase in refill rates — $18M in retained prescription value
Healthcare
HCP Targeting Intelligence for an Oncology Launch
An oncology brand needed to identify the highest-opportunity HCPs — physicians most likely to adopt a new treatment — from a universe of 80,000 specialists nationwide.
$14.7M
incremental revenue in 90 days; 28% lift in new patient starts in targeted HCP segment
Retail
Personalization Engine for a $2B Department Store Chain
A national retailer's email program was sending the same offer to all 14M subscribers. ML-driven segmentation and next-best-offer modeling were deployed across the full CRM stack.
64%
lift in ROAS from email channel; 18% improvement in average order value within 6 months
Retail
New Market Entry Feasibility for a Specialty Retailer
A specialty outdoor goods retailer wanted to expand from 45 to 80 stores. Data-driven site selection modeling using foot traffic, demographic clustering, and competitor proximity was deployed.
Top 12
markets identified; all 12 new locations opened within 15% of projected Year-1 revenue targets
Media & Entertainment
Subscriber Acquisition Intelligence for a Streaming Platform
A mid-tier streaming service needed to compete against deep-pocketed incumbents using surgical, data-driven subscriber acquisition instead of broad-reach spending.
−38%
subscriber acquisition cost with equivalent volume through predictive targeting models
Technology
Real-Time Anomaly Detection System for a Fintech Platform
A high-growth fintech platform needed to detect performance anomalies across 50+ digital campaigns in near real-time to enable same-day optimization decisions at scale.
Minutes
vs. days — lag time in optimization decisions reduced by ML-powered anomaly detection
CPG
Demand Forecasting & Inventory Optimization for an FMCG Giant
A top-10 FMCG company was carrying $80M in excess inventory due to poor demand forecasting across 3,200 SKUs. ML-powered forecasting was built using sell-through, weather, event, and promo data.
$23M
in working capital freed up through improved forecast accuracy in Year 1
Automotive
After-Sales Revenue Intelligence for a Dealer Network
A national dealership group wanted to grow after-sales service revenue by identifying vehicle aging patterns and owners most likely to respond to timely service outreach.
+19%
growth in service revenue per dealer from predictive outreach program
Luxury
Digital & Physical Experience Measurement for a Luxury Hotel Group
A ultra-luxury hospitality brand wanted to measure the incremental impact of their digital brand investment on premium room bookings and understand cross-channel attribution.
+41%
lift in direct booking rate following media mix reallocation based on MMM findings
Pharma
Drug Launch Market Sizing for a Rare Disease Treatment
A specialty pharma company needed precise patient population sizing for a rare autoimmune condition across 18 countries before committing to a $220M global launch budget.
94%
forecast accuracy vs. actual Year-1 patient uptake — saving $40M in misallocated launch spend
Pharma
Sales Force Optimization for a Top-10 Pharmaceutical Company
A global pharma giant had 4,200 field reps calling on HCPs with no data-driven territory design. ML-based call planning and rep routing was deployed using prescription velocity and decile data.
$31M
incremental TRx revenue attributed to optimized call planning in 12 months
Pharma
KOL Identification & Influence Mapping for a Biologics Launch
A biotech company needed to identify the 200 highest-influence oncology KOLs across the US and Europe whose early adoption would drive peer prescribing behavior ahead of a major biologics launch.
3.8×
higher peer prescribing rates in markets with KOL engagement vs. control markets
Pharma
Real-World Evidence Analysis for Label Expansion Strategy
A mid-size pharma company needed real-world evidence from claims data and EHR records to support a label expansion filing — demonstrating off-label use patterns and safety signals in the target indication.
FDA
label expansion approved — RWE analysis directly cited in the supplemental NDA submission
Pharma
Patient Journey Mapping to Reduce Diagnosis-to-Treatment Gap
A pharma brand's new therapy was losing patients between diagnosis and first prescription fill. Longitudinal claims analysis mapped the 14-touchpoint patient journey and identified the highest-dropout moments.
−44%
reduction in diagnosis-to-first-fill gap; 29% improvement in 90-day adherence rates
Hospital & Health Systems
Readmission Prediction Model for a 12-Hospital Health System
A regional health system was incurring $28M annually in CMS readmission penalties. An ML readmission risk model was built using EHR, claims, and social determinants data to flag high-risk patients at discharge.
−32%
30-day readmission rate — saving $9M annually in CMS penalties
Hospital & Health Systems
Patient Volume Forecasting for Capacity Planning at a Level-1 Trauma Center
A major urban hospital was experiencing chronic ED overcrowding due to poor volume forecasting. ML models combining historical admissions, weather, local events, and seasonal signals were deployed.
−27%
reduction in ED wait times; $6.2M in annual cost savings from optimized staffing
Hospital & Health Systems
Revenue Cycle Analytics for a Multi-State Hospital Network
A 22-hospital network had $180M in accounts receivable aging beyond 90 days with no systematic prioritization model for collections teams. Predictive scoring models were built on denial patterns and payer behavior.
$47M
in recovered AR within 18 months through intelligent collections prioritization
Hospital & Health Systems
Population Health Management for a Regional ACO
An Accountable Care Organization needed to identify and proactively manage the top 5% of high-risk patients driving 50% of total costs — before acute episodes occurred rather than after.
18%
reduction in total cost of care for high-risk cohort; $22M in shared savings achieved
Hospital & Health Systems
Surgical Suite Utilization Optimization for an Academic Medical Center
An academic medical center was running at 61% OR utilization — leaving $35M in annual surgical revenue on the table. Data modeling on case duration, surgeon patterns, and scheduling gaps revealed the root causes.
+23%
improvement in OR utilization — generating $19M in incremental surgical revenue annually
Technology
AI-Powered Pricing Optimization for an Enterprise Software Platform
A $400M ARR SaaS company was leaving revenue on the table with flat-rate pricing. ML-based willingness-to-pay modeling across 12 customer segments enabled dynamic packaging and pricing tier optimization.
+24%
increase in average contract value within 9 months of pricing model deployment
Technology
Product-Led Growth Analytics for a Developer Tools Company
A developer tools platform needed to understand exactly which in-product behaviors predicted conversion from free to paid — and build an automated PQL (Product Qualified Lead) scoring engine.
2.4×
improvement in free-to-paid conversion rate through PQL-triggered sales outreach
Technology
Cloud Migration ROI Modeling for a Fortune 500 Technology Company
A large enterprise needed a rigorous data-driven business case for migrating 3,200 workloads to GCP — quantifying TCO savings, performance gains, and risk-adjusted ROI across a 5-year horizon.
$78M
in projected 5-year TCO savings validated — board approved migration budget within 30 days
Technology
Cybersecurity Risk Scoring for a Global Tech Infrastructure Company
A critical infrastructure tech company needed a predictive risk scoring model to prioritize vulnerability remediation across 40,000 assets — moving from reactive patching to proactive risk management.
−61%
reduction in critical vulnerability exposure; $12M saved in potential breach-related costs
Technology
Marketplace Demand Forecasting for a Two-Sided Platform
A gig economy marketplace suffered from chronic supply-demand imbalances causing 23% order failure rates. ML demand forecasting models using geo, time, weather, and event signals were deployed at hyperlocal level.
−71%
reduction in order failure rate; NPS increased 31 points within 6 months
CPG
Price Elasticity Modeling Across 8 Markets for a Global Snack Brand
A global snack manufacturer needed to understand price elasticity at the SKU and market level to inform a pricing strategy during a cost inflation cycle — without triggering volume loss.
+4.2%
gross margin improvement through surgical price increases in inelastic segments
CPG
Direct-to-Consumer Launch Intelligence for a Supplement Brand
A wellness supplement brand wanted to bypass traditional retail and launch DTC. Consumer research, digital audience modeling, and competitive channel analysis were used to design the full acquisition funnel.
$8.4M
in Year-1 DTC revenue — 2.1× above pre-launch projections
CPG
Influencer & Creator ROI Measurement for a Personal Care Brand
A personal care brand was spending $14M annually on influencer partnerships with no systematic way to measure sales impact vs. brand lift. A multi-touch attribution model linking creator content to purchase behavior was built.
3.1×
ROAS improvement after reallocating budget to data-validated top-performing creators
CPG
Category Entry Point Analysis for a Breakfast Cereal Brand
A legacy cereal brand was losing share to adjacent breakfast categories. Consumer occasion research and category entry point analysis identified 6 new consumption moments the brand could authentically own.
+1.8pp
market share gained within 18 months after repositioning to new category entry points
CPG
Retail Media Network ROI Measurement for a CPG Giant
A top-5 CPG company was allocating $60M to retail media networks (Walmart Connect, Kroger Precision, Amazon AMC) with no unified measurement framework across retailers and media types.
38%
improvement in blended retail media ROAS through unified cross-retailer attribution model
Financial Services
Wealth Management Client Segmentation for a Private Bank
A private bank with $80B AUM was treating all HNW clients with identical service models. Behavioral clustering and wealth event prediction models were built to identify clients most likely to consolidate assets or churn.
$2.1B
in net new AUM from at-risk clients retained through predictive intervention programs
Financial Services
Insurance Churn Prediction for a Property & Casualty Insurer
A P&C insurance company was losing 19% of policyholders at renewal with no early-warning system. ML churn models using claims history, life event signals, and competitive pricing data were deployed 90 days before renewal.
−26%
policy lapse rate; $34M in retained premium value in the first renewal cycle
Financial Services
Real-Time Fraud Detection for a Digital Payments Platform
A high-growth payments fintech was experiencing $18M in annual fraud losses. A real-time ML fraud scoring engine was built using behavioral biometrics, device fingerprinting, and network graph analysis.
−78%
fraud loss reduction while maintaining <0.1% false positive rate on legitimate transactions
Financial Services
Next-Best-Product Engine for a Retail Bank with 9M Customers
A major retail bank's cross-sell rate was 1.8 products per customer — well below the 3.2 industry benchmark. A next-best-product recommendation engine was deployed across mobile, email, and branch touchpoints.
+0.9
products per customer within 12 months — $67M in incremental product revenue
Financial Services
Value-Based Bidding Strategy for a Major Credit Card Issuer
A top-10 credit card issuer was optimizing digital acquisition campaigns on volume — not value. CLV-weighted bidding models were built to shift spend toward applicants predicted to generate highest 24-month revenue.
+33%
improvement in 24-month portfolio revenue per acquired customer
Retail
Dynamic Pricing Engine for a Fashion E-Commerce Platform
A fast-fashion e-commerce brand was using static markdown schedules, leaving $20M+ in margin on the table annually. A dynamic pricing algorithm using sell-through velocity, inventory levels, and demand signals was deployed.
+16%
gross margin improvement; 31% reduction in end-of-season excess inventory
Media & Entertainment
Content Investment ROI Modeling for a Global Streaming Service
A streaming platform needed to allocate a $3B content budget across originals, licensed content, and sports rights. A content ROI model linking viewing behavior, subscriber acquisition, and retention was built.
22%
improvement in content spend efficiency; top-performing content categories identified 6 months pre-greenlight
Energy & Utilities
Customer Churn Prevention for a Deregulated Energy Retailer
An energy retailer operating in deregulated markets was losing 28% of residential customers at contract renewal to competitors. Predictive churn models using smart meter data, weather, and pricing signals were deployed.
−33%
churn rate at renewal; $28M in retained annual contract revenue
Travel & Hospitality
Revenue Management Intelligence for a Global Airlines Group
A major airline group needed to modernize its revenue management system using ML-based demand forecasting that could respond to real-time signals — competitive pricing moves, weather disruptions, and booking pace anomalies.
+$94M
in annual revenue uplift from ML-driven yield management across 340 routes
Education & EdTech
Student Retention Analytics for a Large Online University
An online university with 180,000 enrolled students was experiencing 41% dropout rates within the first semester. An early-warning ML system was built using engagement signals, academic performance, and socioeconomic indicators.
−29%
reduction in first-semester dropout rate; $18M in tuition revenue retained annually
$200M+
Annual media decisions
influenced
24+
Years of enterprise
data experience
60%+
Average ROI improvement
delivered to clients
20+
Industry verticals
served
750M+
Records integrated
across engagements
Industries We Serve

Deep Expertise Across
Every Major Vertical

🚗
Automotive
💎
Luxury & Premium Brands
🛍️
Consumer Packaged Goods
💻
Technology & SaaS
🏦
Financial Services & Fintech
💊
Pharmaceutical & Healthcare
🛒
Retail & E-Commerce
🎬
Media & Entertainment
✈️
Travel & Hospitality
🏠
Real Estate
⚡
Energy & Utilities
🎓
Education & EdTech
Data Ecosystem

Access to a Million
Data Sources & Signals

Our insights don't come from guesswork or a single data feed. We orchestrate intelligence across a vast ecosystem of primary research, third-party data providers, real-time signals, and proprietary analytical frameworks.

🔬
Primary Research

Consumer surveys, focus groups, ethnographic studies, concept tests, and conjoint analysis designed to answer the questions that secondary data cannot.

Survey Design Conjoint NPS Modeling A/B Testing
📊
Market Data Providers

Aggregated market intelligence from leading industry databases including IQVIA, Nielsen, Kantar, Euromonitor, Mintel, and dozens of vertical-specific syndicated data sources.

Nielsen IQVIA Kantar Mintel Symphony
🌐
Digital Intelligence

Web analytics, social listening, search trend analysis, competitive ad intelligence, and digital audience signals synthesized into coherent market narratives.

GA4 CM360 Social APIs SEMrush
🧬
Behavioral & Transaction Data

First-party CRM and transaction data, third-party identity graphs, purchase panel data, and loyalty program signals to understand actual consumer behavior — not just intent.

Crossix LiveRamp Resonate Zeta Global
☁️
Cloud Analytics Infrastructure

Enterprise-grade data engineering on GCP, Snowflake, BigQuery, and Azure — enabling real-time pipelines, automated model refresh, and reproducible analytical outputs at scale.

BigQuery Snowflake GCP Azure DBT
🤖
AI & Machine Learning

Bayesian probabilistic models, gradient boosting, neural networks, large language models, and causal inference frameworks applied to the specific analytical problem at hand.

PyMC PyTorch TensorFlow HuggingFace Scikit-Learn
Engage

Ready to Make Data
Your Competitive Edge?

Let's Build Something Extraordinary Together

Whether you're launching a new business, scaling an existing one, or trying to make sense of what your data is telling you — a conversation is where it starts. I work with a selective portfolio of clients to ensure every engagement receives the depth of attention it deserves.

📍 New York City, NY (serving clients globally)
📞 602.663.3016
✉️ [email protected]
🎓 Ph.D. Princeton · MBA Michigan Ross