When familiarity looks like evidence
The false consensus effect describes our tendency to overestimate how widely other people share our opinions, habits and choices. A preference that feels natural to us can start to look universal. Familiarity becomes a substitute for evidence.
In marketing, that can influence everything from a headline to a product launch. A team may dislike a channel and assume its customers do too. Or a founder may understand a technical phrase so well that they no longer notice how confusing it is to a first-time buyer.
Why teams can miss the difference
Our immediate circles are small samples. Colleagues often share professional backgrounds, vocabulary and working routines. Social feeds can reinforce that narrow view by repeatedly showing similar ideas. Agreement inside a team therefore tells us little about agreement across a market.
The bias can also affect how we respond to disagreement. Instead of treating a different preference as useful information, we may see it as a sign that the other person does not understand. That reaction makes customer research less useful precisely when it challenges our expectations.
Replace assumptions with questions
Begin by writing down the assumptions behind an important decision. Who do we think wants this? Which problem do we believe matters most? Why do we expect this message to be clear? Separating those beliefs from observations makes them easier to test.
Ask customers about actual experiences before presenting your proposed answer. “Tell me about the last time you chose a provider” produces different evidence from “Would you like a simpler provider?” Include people outside your usual circle, especially people who considered your offer and chose something else.
Build disagreement into the process
Before publishing a campaign, ask someone unfamiliar with the project to explain what it offers and who it is for. Compare that explanation with your intended message. Confusion is information about the communication, not a failure on the reader’s part.
Use interviews, behavioral data and appropriately designed experiments together. No single method represents an entire audience. The aim is not to remove judgment from marketing, but to make judgment more responsive to what customers actually do. A strong brand can have a clear point of view while remaining curious about people who do not share it.
Explore related EON perspectives: The next industrial advantage is predictive., Think one move ahead. Then think again., Better enrollment starts with a better conversation..
Adapted for an international audience by EON Editorial. Read the original article on EON Brazil. Read our editorial policy.
