About HIF
Built to reveal the economic forces conventional measurement leaves hidden.
Built to reveal the economic forces conventional measurement leaves hidden.
Built to reveal the economic forces conventional measurement leaves hidden.
Built to reveal the economic forces conventional measurement leaves hidden.
HIF combines causal science and promotional economics with commercial decision-making — helping brands and agencies move from attributed performance to incremental profit.
About HIF
Built to reveal the economic forces conventional measurement leaves hidden.
HIF combines causal science and promotional economics with commercial decision-making — helping brands and agencies move from attributed performance to incremental profit.
The firm
The firm
Hindsight, Insight, Foresight
Hindsight, Insight, Foresight
Hindsight, Insight, Foresight
Hindsight, Insight, Foresight
H
Hindsight
What happened?
An accurate picture of what actually occurred — not what a dashboard assumed.
H
Hindsight
What happened?
An accurate picture of what actually occurred — not what a dashboard assumed.
H
Hindsight
What happened?
An accurate picture of what actually occurred — not what a dashboard assumed.
H
Hindsight
What happened?
An accurate picture of what actually occurred — not what a dashboard assumed.
I
Insight
Why did it happen?
The causal reasons behind the outcome, not just correlations sitting next to it.
I
Insight
Why did it happen?
The causal reasons behind the outcome, not just correlations sitting next to it.
I
Insight
Why did it happen?
The causal reasons behind the outcome, not just correlations sitting next to it.
F
FORESIGHT
What should happen next?
A clear direction for what to do next, and where to commit resources.
F
FORESIGHT
What should happen next?
A clear direction for what to do next, and where to commit resources.
F
FORESIGHT
What should happen next?
A clear direction for what to do next, and where to commit resources.
HIF reflects a governing principle: Economic growth compounds only when measured accurately, modeled rigorously, and governed with discipline. It is the foundation from which every client engagement begins.
HIF reflects a governing principle: Economic growth compounds only when measured accurately, modeled rigorously, and governed with discipline. It is the foundation from which every client engagement begins.
The founder
A commercial leader, marketing engineer, and causal data scientist
A commercial leader, marketing engineer, and causal data scientist
A commercial leader, marketing engineer, and causal data scientist
Sanchin Raj
Founder and Principal
Sanchin Raj founded HIF Analytics after repeatedly seeing the same contradiction inside large-scale growth and measurement environments: reported performance could look strong while the underlying economics remained unresolved. Promotional exposure, concession costs, discount stacking, AOV elasticity, pull-forward demand, cannibalization, and demand transfer went unmeasured or misattributed—causing omni channel media to receive the wrong credit or blame and leaving leaders without a reliable explanation for margin erosion.
Sanchin brings 25 years of experience spanning engineering, applied analytics, causal and predictive modeling, optimization, and enterprise decision systems. His experience includes more than 100 deployed models associated with over $1 billion in economic value. That work led to one conviction: measurement earns its place only when it improves a consequential business decision.
At HIF, Sanchin applies this perspective through Promo Physics™. Using the historical operating data a business already generates, he helps brands separate the incremental contribution of promotions and media, identify which offers and investments are self-funding, partial, or value-destroying, diagnose why value moved, and determine what to stop, protect, optimize, and scale.
Sanchin Raj founded HIF Analytics after repeatedly seeing the same contradiction inside large-scale growth and measurement environments: reported performance could look strong while the underlying economics remained unresolved. Promotional exposure, concession costs, discount stacking, AOV elasticity, pull-forward demand, cannibalization, and demand transfer went unmeasured or misattributed—causing omni channel media to receive the wrong credit or blame and leaving leaders without a reliable explanation for margin erosion.
Sanchin brings 25 years of experience spanning engineering, applied analytics, causal and predictive modeling, optimization, and enterprise decision systems. His experience includes more than 100 deployed models associated with over $1 billion in economic value. That work led to one conviction: measurement earns its place only when it improves a consequential business decision.
At HIF, Sanchin applies this perspective through Promo Physics™. Using the historical operating data a business already generates, he helps brands separate the incremental contribution of promotions and media, identify which offers and investments are self-funding, partial, or value-destroying, diagnose why value moved, and determine what to stop, protect, optimize, and scale.
Years Experience
Models Deployed
Value Associated
Why HIF
What HIF brings to every engagement
What HIF brings to every engagement
What HIF brings to every engagement
The value is not the model alone. It is the ability to connect evidence, economics, and action.
Decision-first orientation
Every analysis begins with the business decision it must improve and continues through diagnosis, optimization, and recommended action.
Decision-first orientation
Every analysis begins with the business decision it must improve and continues through diagnosis, optimization, and recommended action.
Business economics centered
The work connects incrementality to margin, capital allocation, and growth quality—not merely lift or attributed revenue.
Business economics centered
The work connects incrementality to margin, capital allocation, and growth quality—not merely lift or attributed revenue.
Causal measurement depth
Promotional and media effects are separated more credibly than surface reporting allows.
Causal measurement depth
Promotional and media effects are separated more credibly than surface reporting allows.
Engineering discipline
Questions, assumptions, data limitations, and outputs are made explicit enough to support real decisions.
Engineering discipline
Questions, assumptions, data limitations, and outputs are made explicit enough to support real decisions.
Research perspective
Each engagement benefits from a broader understanding of thresholds, stacks, holidays, timing, displacement, and repeatable decision patterns.
Research perspective
Each engagement benefits from a broader understanding of thresholds, stacks, holidays, timing, displacement, and repeatable decision patterns.
Hands-on delivery
HIF builds and runs the analysis; the client is not left with an abstract framework to operationalize alone.
Hands-on delivery
HIF builds and runs the analysis; the client is not left with an abstract framework to operationalize alone.
The founder
A commercial leader, marketing engineer, and causal data scientist
Sanchin Raj
Founder and Principal
Sanchin Raj founded HIF Analytics after repeatedly seeing the same contradiction inside large-scale growth and measurement environments: reported performance could look strong while the underlying economics remained unresolved. Promotional exposure, concession costs, discount stacking, AOV elasticity, pull-forward demand, cannibalization, and demand transfer went unmeasured or misattributed—causing omni channel media to receive the wrong credit or blame and leaving leaders without a reliable explanation for margin erosion.
Sanchin brings 25 years of experience spanning engineering, applied analytics, causal and predictive modeling, optimization, and enterprise decision systems. His experience includes more than 100 deployed models associated with over $1 billion in economic value. That work led to one conviction: measurement earns its place only when it improves a consequential business decision.
At HIF, Sanchin applies this perspective through Promo Physics™. Using the historical operating data a business already generates, he helps brands separate the incremental contribution of promotions and media, identify which offers and investments are self-funding, partial, or value-destroying, diagnose why value moved, and determine what to stop, protect, optimize, and scale.
Years Experience
Models Deployed
Value Associated
Why HIF
What HIF brings to every engagement
The value is not the model alone. It is the ability to connect evidence, economics, and action.
Decision-first orientation
Every analysis begins with the business decision it must improve and continues through diagnosis, optimization, and recommended action.
Business economics centered
The work connects incrementality to margin, capital allocation, and growth quality—not merely lift or attributed revenue.
Causal measurement depth
Promotional and media effects are separated more credibly than surface reporting allows.
Engineering discipline
Questions, assumptions, data limitations, and outputs are made explicit enough to support real decisions.
Research perspective
Each engagement benefits from a broader understanding of thresholds, stacks, holidays, timing, displacement, and repeatable decision patterns.
Hands-on delivery
HIF builds and runs the analysis; the client is not left with an abstract framework to operationalize alone.
Insights
Insights
The Thinking Behind Promo Physics™
Promo Physics™ separates the value created by media channels and promotions from demand that would have happened anyway—helping brands protect contribution margin, avoid paying more than once for the same conversion, and make better decisions about what to run next.
The Thinking Behind Promo Physics™
Promo Physics™ separates the value created by media channels and promotions from demand that would have happened anyway—helping brands protect contribution margin, avoid paying more than once for the same conversion, and make better decisions about what to run next.
The Thinking Behind Promo Physics™
Promo Physics™ separates the value created by media channels and promotions from demand that would have happened anyway—helping brands protect contribution margin, avoid paying more than once for the same conversion, and make better decisions about what to run next.
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HIF builds Promo Physics™: causal measurement for D2C and omni channel brands and their agency partners to make profitable decisions across promotions and media.
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