Customer Satisfaction Research in Africa: what your customers won’t tell you.
NPS scores and satisfaction ratings tell you where you are. Understanding what drives them, and what could flip them, tells you what to do about it.

Questions we help you answer
- What are your consumers' preferences and satisfaction levels?
- Are your customers recommending your brand?
- What drives satisfaction or dissatisfaction?
- Are you losing customers without knowing why?
- How do you compare to competitors on NPS?
How we approach it
Quantitative Research
- Customer satisfaction studies
- NPS and loyalty measurement
Qualitative Research
- Focus groups (FGDs)
- In-depth interviews (IDIs)
- Ethnography
- Immersions
Ready to explore what's really driving satisfaction in your markets?
Talk to our team about the right approach for your markets.
Book a meetingFrequently Asked Questions
Common questions about Customer Satisfaction Research in Africa
Accurate satisfaction measurement in Africa requires attention to scale interpretation: the same numerical scale can mean different things to respondents in different cultural contexts, particularly around the tendency to avoid extreme scores. We apply locally calibrated survey design, local language fieldwork and appropriate benchmarking to ensure your satisfaction scores reflect genuine consumer experience rather than survey response patterns. We also cross-reference stated satisfaction with behavioural indicators like repeat purchase and recommendation rates.
The drivers of loyalty vary significantly by category and market, which is why generic global frameworks are unreliable in an African context. Across categories, product performance and value for money tend to be the strongest baseline drivers. Brand trust, built through consistent quality and local relevance, drives advocacy. Distribution availability is also a loyalty driver in markets where out-of-stock rates are high: consumers who cannot find a brand regularly will switch and may not return. Understanding the specific drivers in your category requires primary research.
Sample size depends on how granular you need your results to be. For a country-level read on overall satisfaction, 300 to 400 respondents per market is typically sufficient for statistically reliable findings. If you need results broken down by region, channel or consumer segment, you will need larger samples to maintain reliability at each cut. For multi-country studies, we recommend aligning sample sizes across markets so results are directly comparable.
Quantitative satisfaction data tells you what is happening: scores, rankings, trends. Qualitative research tells you why. A focus group or in-depth interview with dissatisfied customers will surface the specific experiences, unmet expectations and competitor comparisons that are driving low scores, in ways that a structured questionnaire cannot capture. We recommend pairing quantitative tracking with qualitative deep dives, particularly when scores shift unexpectedly or when you need to design a response programme.
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