Your 2027 Growth Plan Is Built on Assumptions. Which Ones Are You Monitoring?

A growth plan might assume that skincare demand will continue growing, consumers will absorb another price increase, premium customers will remain resilient, or one African market will outperform another. Those assumptions determine budgets, inventory, campaigns, pricing and investment. Yet once the annual plan is approved, surprisingly few businesses have a systematic way of monitoring them.

Sales eventually tell you what happened. Brand trackers tell you how consumers perceive your brand. Macro indicators tell you what is happening to the broader economy. All are important. But none, on their own, answer a different question: Is demand in the category we are betting on strengthening or weakening, and for whom? That is the missing intelligence layer in many annual plans.

A brand tracker answers a different question

Brand trackers remain an important part of the marketing toolkit. They measure awareness, consideration, preference and loyalty and help businesses understand how consumers perceive their brands. But they were not designed to measure the direction of demand across an entire category.

Consider a personal-care company planning for 2027. Its brand tracker may show that consideration has improved from 38% to 43%. That is useful. But management still needs to know:

• Is demand for the category expanding?
• Which consumer segments are driving the change?
• Is purchasing intent strengthening or weakening?
• Is the shift specific to our brand or happening across competitors?
• Are changing economic conditions likely to reinforce or challenge our assumptions?

These are different questions requiring different signals. A strong 2027 planning process needs both.

Start with the assumptions behind the plan

Instead of beginning with the research available, start with the decisions the business has already made. Imagine a 2027 plan built around three assumptions:

1. Skincare demand will continue expanding.
2. Premium consumers will remain resilient despite cost-of-living pressure.
3. Kenya will grow faster than two other priority African markets.

Those assumptions might underpin millions of dollars of marketing, inventory, distribution and investment. The question for management should therefore be: what would tell us early that one of these assumptions is becoming wrong?

This is where decision intelligence becomes useful. The objective is not to produce another report. It is to attach observable signals to the assumptions underlying the plan and monitor them throughout the year.

From annual planning to continuous decision intelligence

Kasi uses a simple framework:

1. Identify the critical assumptions. Write down what the plan is actually betting on: category growth, consumer resilience, pricing, market growth, segments or channels.
2. Attach measurable signals. Determine which consumer, demand, spending, pricing or economic indicators would confirm or challenge each assumption.
3. Monitor the signals consistently. Review the indicators on a defined cadence rather than waiting for annual research or lagging sales results.
4. Adapt when the evidence changes. Treat a broken assumption as a planning input, not a surprise, and adjust investment, pricing, inventory, marketing or positioning accordingly.

Category demand is one of those signals

This is the role of the Kasi Retail Demand Index (RDI). RDI measures consumer purchase intentions across categories on a standardized scale from –100 to +100. Rather than asking only what consumers bought previously, it provides a forward-looking indication of where purchase intentions are strengthening or weakening.

The index is run consistently across 21 African markets and more than 70 categories, allowing businesses to monitor the direction and relative strength of demand across categories, markets, consumer segments and waves.

That distinction matters. Sales data tells management what has already happened. Brand tracking tells management how its brand is performing in consumers' minds. RDI adds another perspective: where is category demand moving? It is not a replacement for either sales data or brand tracking. It fills a different information gap.

One signal is rarely enough

A weakening category-demand reading doesn't automatically tell management what to do. The underlying question becomes why. That is why Kasi's approach combines different signals:

• Category Demand (RDI): is purchase intent strengthening or weakening?
• Consumer Confidence (CCI): are consumers becoming more or less confident about their financial and economic outlook?
• Price and affordability signals: are price pressures changing consumers' ability or willingness to purchase?
• Spending intelligence: where are consumers increasing, reducing or reallocating expenditure?
• Brand and consumer-choice intelligence: what is determining which brands ultimately capture the available demand?

Taken together, these indicators provide something more useful than another isolated research study: a system for monitoring the assumptions behind a business plan.

Consider what happens when an assumption breaks

Imagine a company enters 2027 expecting continued skincare growth. During the first few months, sales remain healthy. But the underlying signals begin changing. Category purchase intentions weaken among lower-income households. Consumer confidence deteriorates. Price sensitivity increases. Premium consumers, however, remain comparatively resilient.

Nothing has necessarily gone dramatically wrong with sales yet. But the original assumption, "Skincare demand will continue growing broadly across consumers", is no longer holding in the same way.

Management now has an opportunity to act earlier. The business might reconsider promotional spending, adjust inventory, protect premium positioning, modify pack sizes, change channel allocation or investigate the affected consumer segments more deeply.

That is the value of the signal. Not predicting the future perfectly. Seeing an important change early enough to make a different decision.

Comparability matters for regional businesses

The challenge becomes even greater for businesses operating across multiple African markets. A regional planning team may need to decide whether the next dollar of investment belongs in Kenya, Nigeria, Ghana, Côte d'Ivoire or South Africa. Bespoke research conducted separately in each market makes those comparisons difficult.

Because Kasi RDI uses a standardized –100 to +100 framework, businesses can consistently monitor the direction and relative strength of category demand across markets, categories, segments and time. That creates a common intelligence framework for regional planning. Instead of each market entering the planning conversation with a different study, management can begin with a comparable set of signals and then investigate the reasons behind the differences.

Your 2027 plan should have a monitoring system

Annual planning will always require assumptions. The objective isn't to eliminate them. It is to make them visible, measurable and challengeable. For every major growth assumption in a 2027 plan, management should be able to answer three questions:

1. What are we assuming?
2. What signal would tell us if that assumption is changing?
3. What decision would we reconsider if it does?

That turns annual planning from a document into a management discipline. And it changes the role of research. Instead of commissioning studies primarily to describe what happened, intelligence becomes part of an ongoing system for deciding what to do next.

From planning to decision intelligence

A brand tracker should continue telling a business how consumers perceive its brand. Sales should continue telling management what customers bought. Economic indicators should continue providing the broader context. But a 2027 growth plan needs another layer connecting those different sources of information to the assumptions management is actually making. That is where Kasi's proprietary demand, consumer, spending and economic signals fit.

Kasi helps leadership teams identify the assumptions embedded in their growth plans, attach measurable signals to them, and monitor those signals as markets and consumers change. The objective is simple: identify, monitor, adapt.

The most dangerous assumption in a 2027 plan is not necessarily the one that turns out to be wrong. It is the one that changes, and nobody notices.

What assumptions is your 2027 plan making?

If you are developing your 2027 growth plan, Kasi can help identify the consumer and market assumptions behind it and build the signals required to monitor them. Talk to Kasi about your 2027 planning decisions.