Statistical Model

Vector Autoregression (VAR)

How channels influence each other over time.

Deepens Sales & Marketing Efficiency and Cross-channel measurement.

The Problem This Model Solves

Feedback loops exist. Spend drives Sales, but Sales also funds Spend. Or Facebook drives Search. Standard regression assumes everything is a one-way street. VAR treats every variable as potentially influencing every other variable.

Questions This Model Answers

"Does Facebook spend drive Google Search volume?"

"How do Sales and Marketing feed each other?"

"What is the ripple effect of a budget cut?"

How the Model Thinks

It's a system of equations where each variable depends on its own past lags AND the past lags of all other variables.

Core Business Use Cases

1Cross-Channel Spillovers

The Problem

Siloed channel measurement.

What It Reveals

That 30% of Search value originated from Social.

Decision Enabled

Credit Social appropriately in the budget.

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How We Use This Model

Used in Sales & Marketing Efficiency to untangle the web of interactions between different growth levers.

Example Output

Impulse Response Functions: Graphs showing how a shock to "Facebook Spend" causes a ripple in "Search Volume" over the next 14 days.

Works Best When

  • Interdependent channels
  • Macro-level strategy

Be Cautious When

  • If you have too many variables and too little data

Stop Guessing. Start Knowing.

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