How to read consumer confidence?

Consumer confidence is one of the most widely reported economic indicators. It appears in headlines, earnings calls and boardroom presentations. Yet surprisingly few people know how to actually read it – what the numbers mean, what they don’t, and how to extract genuine insight from them.

This matters because confidence data, read badly, leads to poor decisions. Read well, it becomes a genuinely useful signal. The difference lies in understanding both the mechanics and the limitations.

What index scores mean

When you see a consumer confidence score – say, -15 or +5 – the basic interpretation is straightforward: higher is more optimistic, lower is more pessimistic. Positive figures suggest consumers feel good about the economy and their finances. Negative figures suggest they don’t.

But context is everything.

A score only means something relative to where it’s been. Historical norms matter, but so do eras within the timeline. On Konfidant’s measure, net 45% was normal before the pandemic. We’ve seen nothing close to that in the six years since. The gap between then and now represents dashed hopes and accumulated pressure – not just a number moving down.

Seasonality matters too. Confidence naturally rises during spring as we emerge from winter and have things to look forward to. It often dips over summer – people flag after the busy May/June/July period, and parents face the budget strain of six weeks’ childcare and family holidays. September brings a reset, echoing the academic year rhythm that stays with us into adulthood. Always compare to the same period last year, not just last month.

Be careful comparing sub-groups directly. Each segment has its own baseline. Young people typically report higher confidence than older groups; wealthier households higher than those on lower incomes. The absolute levels matter less than how each group is moving over time. Plot them alongside each other – that’s where the insight lives.

Positive vs negative readings

The distinction between positive and negative readings is real, but scale and direction matter more than the sign alone.

A reading of +2 and -2 are functionally similar – both suggest a population that’s roughly split, neither strongly optimistic nor deeply pessimistic. What matters is:

• The degree – how far positive or negative, not just which side of zero
• The direction – is it improving or deteriorating, and how quickly?

A score of -10 that was -15 last month tells a very different story from -10 that was -5. Same number, opposite trajectories.

Why change matters more than level

Humans are wired to notice change. It’s built deep into our psychology – change signals danger or opportunity. A stable situation, even a difficult one, generates less anxiety than a shifting one.

This is why a move from -10 to -15 often matters more than sitting at -20 for months. The drop is felt. The static position becomes normalised.

Loss aversion amplifies this. We feel deterioration roughly twice as keenly as equivalent improvement. A 5-point fall hurts more than a 5-point rise helps. This asymmetry is predictable – and important for interpreting what confidence movements actually mean for behaviour.

Speed of change varies. At certain points over the past six years, confidence has dropped 5+ points in a single week – when Omicron hit, during the Truss mini-budget, when Russia invaded Ukraine. These were seismic moments.

But slower shifts matter too. A 2-point weekly decline might seem minor, but sustained over several weeks it compounds into something significant. Creeping deterioration can be harder to spot and easier to dismiss – which makes it more dangerous.

What’s driving the shift matters as much as the size. A 2-point drop caused by direct personal impact (job security, household costs) hurts more than one driven by distant political scandal. The latter is dispiriting; the former is a body blow.

What confidence data doesn’t show

Most people never examine the questions behind a confidence index. If they did, they might be surprised.

Traditional indices like the GfK Consumer Confidence Index ask about finances – personal financial situation, expectations for the economy, major purchase intentions. That’s it. They don’t cover health, relationships, work-life balance, sense of progress, trust in institutions, or any of the other factors that shape how people actually feel.

The final question in many indices – asking people to predict their future behaviour – is particularly problematic. Modern research has established that we’re poor narrators of even our present circumstances, let alone reliable forecasters of what we’ll do next.

CCI tells you what, not why. You can see that confidence has fallen. You can’t see what’s driving it – unless you break down by sub-group and hypothesise, which most published indices don’t do.

This means headline confidence figures are useful for spotting that something has changed. They’re much less useful for understanding what to do about it.

Using richer sentiment inputs

If you want to go beyond headline confidence, look for data that adds:

• Drivers, not just scores – what’s actually moving sentiment, not just that it moved
• Segment-level detail – how different groups are feeling, not just the national average
• Non-financial dimensions – health, progress, control, hope, connection
• Behavioural signals – what people are doing, not just what they say they’ll do
• Forward indicators – where sentiment is heading, not just where it is

Konfidant’s approach was designed around these gaps. The study tracks fears, hopes and behaviours alongside confidence – providing a consistent drumbeat that makes it easy to dig beyond headline figures. With over 22,000 questions in the archive, the depth is there when you need it. But the real value is in the curation: we highlight the must-know stories so clients aren’t drowning in data.

The more you study consumer behaviour, the more you see predictable patterns – even in chaotic times. Those patterns become activation points: moments to act, messages to land, opportunities to capture.

Four lessons for reading confidence properly

If you’re new to working with consumer confidence data, here’s where to start:

1. Keep abreast weekly, not monthly. Confidence is like exercise – the knowledge becomes cumulative. Weekly contact builds intuition. Monthly glances leave you always catching up.

2. Know it as a story, not a score. A number on a slide is easily forgotten. A narrative about how the nation is feeling – one that lives across the organisation as shared understanding – shapes decisions. Stories stick; metrics don’t.

3. Focus on where it’s going, not where it’s been. Confidence data should direct the future, not just explain the past. Always ask: what does this tell us about what’s coming?

4. Get clear on your activation points. Understand where you can help – both in making hopes and aspirations come true, and in solving the pain points consumers actually face. That’s where confidence data becomes commercially useful.