B2BVault's summary of:

Why good marketers think in probabilities, not certainties

Published by:
Martech
Author:
Kathleen Schaub

Introduction

Marketing is messy and uncertain. Good marketers use probabilities to choose bets, reduce risk, and steer smarter moves.

What's the problem it solves?

Leaders often chase certainty in a world that will not give it. In marketing, many causes mix together, change over time, and affect each other, so trying to find one sure cause leads to bad choices.

Quick Summary

Marketing lives in uncertainty because it is made of people and shifting signals. We like simple stories with clean causes, but real results come from many factors, each with its own chance of happening. Some causes are hidden, some start long before we see the impact, and some boost or weaken others.

So, think like a statistician. Stop treating predictions as all or nothing. Use probabilities to weigh options, compare risks, and choose smarter paths. Accept that strong, rock-solid links are rare in human behavior, so your confidence levels will be lower than in a lab.

Four habits help: make peace with not knowing, widen your inputs beyond one tool or report, place several small bets instead of one big one, and reduce fuzziness by agreeing on scales, terms, and benchmarks before you decide.

Key Takeaways

  • Certainty seeking fails in complex, people-driven markets
  • Outcomes come from many causes with different strengths
  • Hidden and non-linear effects mean you will miss some causes
  • Probabilistic thinking beats single-cause stories
  • Use diverse data, not one source or one model
  • Place small bets to learn fast and limit downside
  • Clarity tools like scales and benchmarks cut confusion

What to do

  • Write forecasts as ranges with a confidence percent, not a single number
  • List key factors for each bet and estimate their likely impact
  • Run small, parallel tests instead of one big launch
  • Use agreed scales for fuzzy choices, like 1-5 for fit or risk
  • Pull inputs from many places: MMM, causal AI, sales notes, support logs
  • Set clear stop rules and success rules before you start
  • Review results often, update your odds, and reallocate budget
  • Teach the team to say “we are 60% confident” and explain why

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