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Consumer confidence

What can affect consumer confidence?

A man covering his face with one hand in frustration, set against a blue background.

What can affect consumer confidence?

Consumer confidence has a dozen levers behind it. They don't all move at once – and they're never weighted the same way twice.

A comprehensive look at what moves consumer confidence – macro, personal, psychological and social – and how brand teams can read which factor is dominant week by week

Ask what affects consumer confidence and the textbook answer is "the economy". That's true. It's also incomplete enough to be misleading.

Consumer confidence sits at the intersection of macro forces, personal household conditions, psychological state and social context. Each layer pulls the headline number up or down. The mix changes constantly. The factor doing most of the work in March is rarely the factor doing most of the work in October.

For brand teams, planners and strategists, the practical question isn't "what affects consumer confidence?" It's "which factor is dominant right now, and what does that mean for the plan?"

Here's the full set of factors and how they interact.

Why this matters for brand teams

Two consumers can face an identical economy and respond completely differently. Two quarters can look macroeconomically similar and produce very different consumer behaviour. The reason isn't the headline data. It's the weighting.

A confidence drop driven by mortgage refix anxiety calls for one brand response. A confidence drop driven by social-media news fatigue calls for a different one. A confidence rise driven by real-wage recovery calls for a third. Treating the headline number as the answer leaves strategy stuck in averages.

The dominant factor changes the playbook.

Macro factors

The economic and policy backdrop sets the climate. The factors that most reliably move consumer confidence at this level include:

  • Inflation and price stability – predictable prices reduce anxiety, even when they're high
  • Interest rates and the cost of borrowing – affects mortgages, credit and savings rewards
  • Employment and wage growth – job security and real income shape household outlook
  • Energy and utility prices – bills carry disproportionate emotional weight
  • Tax, fiscal and political signals – budget announcements, election cycles, policy noise
  • Housing market conditions – mortgage refixes, house price direction, rental pressure
  • News-cycle stability – calm news is its own form of macro stability

The macro picture matters because it sets the conditions everything else operates inside. Brands can't move these levers. They can read them – and they can refuse to plan as if they weren't there.

Personal factors

Underneath the macro layer sits the household. Personal factors are where macro forces actually land:

  • Real disposable income – what's left after housing, bills and essentials
  • Debt and credit pressure – credit cards, BNPL, mortgage strain, savings drawdown
  • Bill predictability – fixed costs, variable energy, surprise rises
  • Life stage – early career, first home, young family, midlife pressure, pre-retirement, retired
  • Employment specifics – sector exposure, redundancy risk, freelance instability, hours cut
  • Health and caring responsibilities – own health, children, ageing parents
  • Mortgage refix timing – when the household lands on the new rate matters as much as the rate itself

This is the layer the macro number obscures. Two households facing the same inflation rate can feel completely different about it depending on their fixed-rate end date or the size of their savings buffer.

Psychological factors

Consumer confidence isn't a calculation. It's a felt experience. The psychological factors that move it are often more powerful than the financial ones:

  • Perceived control – the sense that decisions and money feel manageable
  • Trust – in institutions, brands, employers and the future
  • Hope – belief that things can move forward
  • Fear – exposure to specific risks (redundancy, illness, rate rises)
  • Fatigue – the cumulative cost of long-running pressure
  • Permission – feeling allowed to spend, treat, relax, enjoy
  • Comparison – how the household feels relative to peers and to its own recent past
  • Pride or shame around money – internalised narratives about deserving comfort or having to earn it

Psychological factors explain why confidence can fall while the macro data improves – fatigue and distrust take time to ease – and why it can rise before the macro data turns, because hope often arrives first.

Social factors

The social layer is the most under-counted of the four. Consumer confidence is shaped by the climate customers are consuming as much as the climate they're living in:

  • News cycle volume – the sheer drumbeat of bad news raises ambient anxiety
  • Social media mood – what neighbours, peers and strangers are signalling
  • Generational anxieties – climate, AI displacement, housing crisis, pension viability
  • Community pressure – how friends, family and local networks are spending
  • Cultural moments – sport, royals, weather, big events that lift or weigh on mood
  • Visible inequality – how exposed the household feels relative to the wealth on display

Social factors move faster than the others. A single news cycle can shift weekly consumer confidence in a way mortgage rates need months to do.

Factors don't add – they compound

Consumer confidence isn't the sum of these factors. It's the product of them.

A modest macro hit on a stretched household, in a stressed psychological state, in a noisy news week, lands much harder than the same macro hit in a calmer combination. A small piece of good news for a household with a savings buffer, in a confident psychological state, on a quiet news week, lifts confidence further than the data suggests it should.

That's why the same macro number can produce different consumer behaviour in different quarters. The macro number is just one input. The combined weighting is what customers actually feel.

What "dominant" factors look like in practice

A few recent worked examples make the point concrete.

In late 2022, the dominant factor was energy-bill shock. Households at very different income levels felt the same anxiety, and brand campaigns that ignored the bill story landed as tone-deaf.

In 2023, the dominant factor shifted to mortgage refixes. The pressure became more demographically concentrated – and the response from those exposed was sharp, fast and visible in big-ticket retail. Brands that read the segment-specific squeeze planned better than brands that used the headline confidence number alone.

Through 2024 and 2025, the dominant factor was more social and psychological than macro. News-cycle volume, political churn, AI displacement worry and accumulated fatigue weighed heavier than wages or rates. Brand teams that ran "things are improving" campaigns found the macro right and the mood wrong.

The dominant factor moves. Reading which one is doing the work this week is what separates brand plans that land from brand plans that miss.

Where Konfidant fits

Konfidant is built to track exactly this. We track how the UK thinks, feels and behaves every week – combining 2,000 consumer interviews each week, a longitudinal community of 50 UK households tracked since March 2020, more than 600,000 interviews accumulated, the eight emotional seasons, the five Drivers, human analysis and Konnie, our AI intelligence layer.

For brand teams, planners and strategists, that means more than a headline confidence number. It means seeing whether the movement is driven by macro pressure, personal squeeze, psychological fatigue or social noise – and how that weighting is shifting week by week.

That changes the brief. A category dominated by trust pressure needs a different campaign from a category dominated by bill anxiety. A region dominated by mortgage refix exposure needs a different tone from one dominated by retirement worry. Konfidant shows which factor is doing the most work, for whom, this week.

The bottom line

Consumer confidence has many factors behind it. The factor that's dominant this week may not be the factor that was dominant last quarter.

Brands that track the headline number react late. Brands that track which factor is doing the most work plan ahead.

See how Konfidant tracks the factors behind consumer confidence, week by week.

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