Every January, many people set out with the best of intentions. This often includes promises such as spending less, eating better, or joining the local gym.

Yet by February, most of those intentions start to slip away. The expensive health food sits unused at the back of the fridge, and the gym membership is quietly forgotten.

This pattern is usually framed as a personal discipline problem. However, from a consumer insight perspective, it is something much more familiar. It is a textbook example of the gap between what people say they will do and what they actually do once real-world pressures take over.

For market research, January is a useful reminder of a risk that exists all year round: over-reliance on stated intention.

At moments of optimism – the start of a new year, the launch of a new product, the consideration of a “better” option – respondents are not lying. They are answering honestly, based on how they expect to behave. The issue is that human behaviour is rarely governed by expectation alone. Habit, friction, context and competing priorities usually win.

This is why intention data often overstates demand, loyalty or willingness to change. It captures aspiration, rather than reality.

The commercial consequences of this are of course significant. Businesses routinely make decisions based on what consumers claim they will do: switch suppliers, trade up, use a new feature, adopt a new service model. When those behaviours fail to materialise, the problem is often assumed to be execution. Instead in many cases, the issue is much earlier – at the insight stage.

This does not mean intention data is useless. It just needs to be treated with caution and complemented with deeper understanding. Commercially robust insight focuses less on what people say they want to do, and more on what drives or prevents action in practice.

The most reliable work tends to explore questions such as: what people are optimising for, what trade-offs they are making, what constraints they are operating under, and which behaviours are deeply embedded versus genuinely flexible. These factors are far more predictive of future behaviour than a single claimed likelihood score.

This kind of understanding also allows businesses to distinguish between intention that signals genuine opportunity and intention that is largely theoretical. High claimed interest does not always indicate readiness to act; it often reflects approval, aspiration or low-cost agreement. By contrast, insight that identifies where constraints are weak, habits are unsettled and trade-offs favour change provides a far more realistic basis for forecasting demand, prioritising audiences and allocating investment.

This is also where segmentation plays a critical role. Not everyone makes or breaks resolutions in the same way. Some consumers are motivated by improvement and novelty. Others are risk-averse, habit-driven, or focused on short-term practicality. Treating intention as universal flattens these differences and hides commercially important variation.

From a business perspective, the implication is clear. Strategies built on “average” intention are likely to be fragile. Strategies built on understanding distinct decision-making mindsets are far more robust.

New Year’s resolutions fail not because people are inconsistent, but because behaviour is complex. And market research that recognises this complexity will be much better placed to support confident, commercially grounded decisions.

If you’d like to understand where customer intention translates into real behaviour, and where it doesn’t, we’d be happy to help. Our insight approaches go beyond stated intention to uncover the drivers that shape real decision-making. Get in touch to find out more.