A new era of geo-political risk; Why decision-makers need faster signals in an age of geopolitical volatility

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The economic impact of the U.S.–Iran war is typically measured through oil prices, shipping disruptions, inflation and interest rates. But the first and potentially most consequential transmission channel is how households interpret the shock and change their behaviour.

Consumer sentiment can deteriorate before inflation appears in official statistics, retail sales decline or companies report weaker earnings. Households respond not only to higher prices, but also to expectations of rising living costs, weaker employment and greater financial insecurity.

The evidence from 2026 was stark. Ipsos’ global Consumer Confidence Index fell 2.7 points in April to 46.7, its second-largest monthly decline on record after April 2020. Twenty of the 30 countries surveyed recorded significant declines, while none recorded a significant increase; expectations fell even faster, declining 3.6 points. South Africa saw confidence fall by 12 points, from –7 in Q1 2026 to –19 in Q2, with the Bureau for Economic Research linking the reversal to higher fuel costs and warning of pressure on discretionary spending.

These changes occurred much faster than conventional annual forecasts or quarterly market studies could adequately explain. For decision-makers, the lesson is clear: during periods of geopolitical disruption, consumer sentiment is no longer a supplementary marketing measure. It is an essential early-warning indicator for demand, pricing, credit, inventory and investment decisions.

The war is being transmitted through expectations, not only prices

The Iran conflict triggered a major global energy shock because the Strait of Hormuz carries approximately 15 million barrels of crude oil per day - around 34% of global crude trade - with limited alternative routes. The disruption became visible in 2026, when the IEA estimated global oil supply fell by 10.1 million barrels per day in March, the largest disruption in oil-market history; even after partial recovery, June output remained 9.4 million barrels per day below pre-war levels. Prices reflected the volatility: North Sea crude fell to around $68 a barrel as flows recovered, before renewed hostilities pushed it towards $77 and, by July 23, Brent above $100 amid fresh attacks and renewed shipping concerns.

For businesses, volatility itself is part of the problem. Consumers do not need to know the final oil-price outcome before changing behaviour. News of conflict, fuel shortages, exchange-rate pressure or another inflation cycle may be enough to make households more cautious.

A 2025 study using scenario-based consumer surveys found that when households expect geopolitical conflicts to last longer, they anticipate higher inflation, weaker growth, lower stock prices, increased government debt and higher taxes. They also expect to be financially worse off and reduce planned consumption. This means the economic effect of war begins partly in the mind of the consumer.

Consumer sentiment moved before the full economic impact was visible

The first months of the conflict provide a useful demonstration of why sentiment should be tracked continuously. In March 2026, euro-area consumer confidence fell from –12.3 to –16.3, its lowest level since late 2023. The four-point monthly decline was among the largest recorded outside the beginning of the COVID-19 pandemic and Russia’s invasion of Ukraine. The deterioration was detected while economists were still assessing how higher energy prices might affect inflation, household spending and monetary policy. The following month, the Ipsos Global Consumer Confidence Index recorded its second-largest decline in its history:

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Twenty of the 30 surveyed economies registered significant declines. The largest falls were recorded in Thailand at –10.9 points, Malaysia at –6.1, South Korea at –5.1, Japan at –4.7 and Australia at –4.6. Nine European markets also declined significantly. It suggests the shock was not confined to countries directly involved in the conflict or those importing oil from the Gulf. It spread through expectations about energy costs, inflation, employment, investment and the wider economy.

Sentiment also demonstrated how rapidly expectations can reverse. By July, the global Ipsos index had recovered for three consecutive months to 49.0, although it remained below its pre-war level in 14 countries. The July survey was conducted after the announcement of an initial peace agreement but before the ceasefire broke down again on July 8. This timing illustrates both the value and limitation of sentiment data. It provides an early reading of changing expectations, but only when it is collected frequently enough to keep pace with events. A quarterly survey may describe the previous phase of a crisis. A monthly or higher-frequency tracker is more likely to capture the market consumers are entering now.

One geopolitical shock, multiple African consumer realities

The Iran conflict may be global, but its consumer impact is not uniform. Kasi Insight’s May 2026 Consumer Confidence Index reveals a continent moving in sharply different directions. Ghana recorded a confidence score of 44.1, while Nigeria stood at 16.9 and South Africa at 6.8. By contrast, Kenya remained negative at –9.8 and Côte d’Ivoire fell to –14.3. Tanzania and Cameroon occupied a more fragile middle ground, recording scores of 5.0 and 1.2 respectively.

These differences matter because macroeconomic exposure alone cannot explain behaviour. Higher oil and transport costs may be common across markets, but consumers interpret them through local realities: employment confidence, currency conditions, household obligations, political trust and their ability to absorb further financial shocks.

The implication is that companies cannot apply a single “Africa response” to geopolitical disruption. A promotional strategy appropriate for an optimistic Ghanaian market may be poorly suited to a financially strained Kenyan consumer. Likewise, rising confidence in South Africa does not necessarily eliminate vulnerability among lower-income households or discretionary categories. What businesses need is not simply a continental confidence average. They need to know where sentiment is rising or falling, among which consumers, and how those shifts are changing purchasing decisions.

The strategic questions are therefore behavioural: which consumers are becoming more cautious, which expenses they will protect, which purchases they will postpone, where they will trade down rather than stop buying, whether they are shifting toward smaller pack sizes, credit, promotions or informal alternatives, and whether confidence is recovering faster in some markets or income groups than others - questions that GDP, inflation and exchange-rate statistics cannot answer on their own.

From macroeconomic exposure to a consumer-impact chain

Decision-makers need to understand the sequence through which a geopolitical shock reaches the customer.

  1. External shock - Conflict disrupts energy production, shipping, insurance and trade routes.
  2. Market transmission - Oil, transport, insurance and imported-input costs rise while currencies and financial markets become more volatile.
  3. Household expectations - Consumers anticipate higher prices, weaker employment prospects and greater pressure on household finances.
  4. Behavioural adjustment - Households postpone purchases, reduce discretionary spending, trade down, seek promotions, borrow differently or increase precautionary savings.
  5. Commercial outcomes - Businesses experience lower conversion, different product mixes, reduced basket values, higher credit risk or weaker retention.

Most organisations monitor the first two stages through market and economic data. Many only discover the fifth stage through sales results. Consumer sentiment provides visibility into stages three and four—the point at which the shock is becoming a commercial reality but may still be manageable.

What decision-makers should track

A single confidence score is useful, but it is not sufficient for business decisions. An effective consumer-sentiment system should combine the headline measure with indicators of how attitudes are likely to affect behaviour.

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These indicators turn sentiment from a descriptive index into a decision-intelligence system.

The relevance for different decision-makers

Retailers and consumer brands

Sentiment data can identify whether weak sales represent a temporary confidence shock or a deeper change in affordability. This informs assortment, promotions, pack sizes, inventory and category investment. A decline in confidence does not necessarily imply that all spending will fall. Households may protect food, education, communication and healthcare while reducing travel, entertainment, appliances or premium products. Tracking the trade-offs is more valuable than knowing that confidence has fallen.

Banks and financial institutions

Banks can use sentiment alongside transaction and credit data to anticipate changes in deposit behaviour, borrowing demand, repayment stress and product uptake. A customer who expects their finances to deteriorate may become more cautious before their actual income changes. That shift can affect appetite for mortgages, personal loans, insurance and investment products.

Investors

Consumer sentiment can provide an earlier reading of demand conditions than corporate earnings. For consumer-facing companies, the direction of household expectations may help investors interpret future revenue, margins, credit losses and working-capital requirements.

Governments and central banks

Sentiment can reveal whether inflation expectations are becoming entrenched and whether households trust policy responses. It can also identify which groups are experiencing the greatest pressure before national averages fully reflect the distributional impact.

Development institutions

High-frequency sentiment data can help distinguish between temporary uncertainty and sustained deterioration in household resilience. This can improve the timing and targeting of interventions.

Consumer sentiment should complement, not replace, economic indicators

Consumer confidence is not a perfect predictor. Households may feel pessimistic while continuing to spend on essentials or through credit, and survey results can be influenced by political events, media coverage and methodology. Sentiment should therefore complement - not replace - economic and transactional data.

The strongest decision system combines what has happened (inflation, employment, exchange rates and GDP) with what consumers expect (confidence, financial outlook and inflation expectations) and what they are beginning to do (changing purchase intentions, switching, trading down or borrowing). Together, these signals provide a clearer view of future demand.

From tracking to decision intelligence

The Iran war showed how quickly sentiment can collapse, recover and reverse again as conditions change, volatility that annual studies and periodic trackers cannot adequately capture. For African businesses, the need is continuous intelligence that reveals where sentiment changed, among whom, why, which behaviours are affected and what action to take.

Kasi Insight’s monthly consumer tracker and proprietary African consumer database provide this foundation, combining real-time shifts in financial confidence, inflation concerns and purchase intentions with historical and cross-market context.

The most consequential effect of a geopolitical crisis may not be the immediate rise in oil prices, but the change in household expectations that precedes it. In a world of recurring disruption, decision-makers need signals that explain not only what happened yesterday, but how consumers are interpreting uncertainty today, and how they are likely to behave tomorrow.

About Kasi Insight

Kasi Insight is Africa's leading decision intelligence firm specializing in high-frequency consumer and economic data across Africa. Through its proprietary survey infrastructure and analytics platform, Kasi provides real-time insights that help organizations anticipate economic shifts, understand consumer behavior, and make better strategic decisions.

We welcome collaboration with:

  • Banks and financial institutions
  • Asset managers and investors
  • Policymakers and development organizations
  • Academic researchers
  • FMCG and consumer goods companies
  • Media, advertising, and communications agencies
  • Healthcare and pharmaceutical organizations
  • Multinational corporations and regional businesses seeking market intelligence

Organizations interested in exploring partnerships or accessing Kasi datasets are invited to contact our research team.

📧 yannick@kasiinsight.com


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