Quantitative Research

Quantitative Market Research in the UAE

Numbers you can defend to a board

Quantitative market research measures markets, audiences and behaviours with numeric data from a defined sample, then projects it to the wider population using statistics you can defend. SMRC runs the full chain in the UAE and across the Gulf, from questionnaire design to weighted, significance-tested findings.

Sampling · Bilingual fieldwork · Quality control · Statistical analysis
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How we design, field and analyse quantitative research. Every programme is built around your objective.
What it is

Quantitative research answers how many, how much, how often and by how much things have changed, with a number you can stand behind.

Where qualitative work explains why people behave as they do, quantitative work measures, sizes, compares and tracks that behaviour with statistical confidence. Its authority rests on three things: a representative sample, a disciplined questionnaire, and defensible statistics such as weighting, significance testing and stated margins of error. SMRC designs and delivers all three in Arabic and English, with GPS-tracked field teams and same-week toplines where the decision cannot wait.

WHEN TO CHOOSE IT

Choose quantitative when money or risk rides on the number

Reach for quantitative research when you need to measure, size, compare or track with statistical confidence, and especially when the result must be defended to a board, a global head office or a regulator. It is the right method for market sizing and incidence, brand health, pricing and willingness to pay, concept and ad testing, customer satisfaction, segmentation, tracking, and shopper and channel behaviour.

It is not the right lead method for early-stage exploration, emotional or motivational depth, message development, or very small B2B universes where the numbers cannot carry statistical weight. In those cases we will say so, and often recommend a hybrid: qualitative to explore and shape, quantitative to measure and size. Recommending the honest design, rather than the biggest one, is how we protect the credibility of the result.

THE OPERATIONAL SPINE

How a study is run, end to end

Every study starts from the business decision it must inform, not just the topic. That decision fixes the population, the metrics and the precision required, which in turn drive the sampling method and the sample size. We size for the smallest subgroup that must be read on its own, not only for the total, then confirm the resulting margin of error up front.

Questionnaire design follows a metric map, so every question earns its place by feeding a decision or a banner column. Scales are balanced and consistent, brand and attribute lists are rotated to remove order bias, and screeners are written tight enough to exclude out-of-scope respondents cheaply. The instrument is professionally translated, back-translated and cognitively checked before a soft launch of 20 to 50 interviews catches confusing wording, routing errors and interview-length problems.

Fieldwork runs by the right mode for the audience: CAPI on tablets for face-to-face and intercept, CATI for telephone, CAWI for online and panel, and blends of all three to reach segments a single mode under-covers. Live quota dashboards let the team rebalance before the sample skews. After fieldwork we clean, code, weight to known population targets, then run cross-tabulation and significance testing so no one mistakes noise for a real difference. Reporting leads with the decision and the recommendation, then the evidence, and always states base sizes, weighting and error margins so the work is auditable.

THE DIFFERENTIATOR

GPS-tracked, timestamped field interviews, so location and duration of every visit are verifiable

  • Back-check validation call-backs on a defined share of interviews, plus automated checks for speeders, straight-liners and duplicates
  • Weighting to known UAE population targets, including nationality and emirate, not just age and gender
  • Significance testing at a stated confidence level, so every reported difference is marked real or random
What we measure

What we measure and what you learn

What we measureWhat you learn
Market sizing and incidenceCategory penetration, buyer counts and share of requirement, so the opportunity is right-sized before you invest
Brand health metrics: awareness, consideration, usage, preference, imagery and NPSWhere your brand leaks in the funnel against competitors, so spend goes to the weakest, most fixable stage
Pricing and willingness to pay: elasticity, Van Westendorp and conjointThe revenue-optimal price and how demand reacts to change, so margin is protected and launches de-risked
Concept, product and ad testingPurchase intent, appeal, uniqueness and believability by option, so weak ideas are killed cheaply and the winner is backed by evidence
Customer satisfaction and CX drivers: CSAT and key-driver analysisWhich touchpoints actually move loyalty, so you fix what raises retention rather than only what generates complaints
Segmentation: cluster and latent-class analysisHow many customer types exist, their size, needs and value, so targeting and messaging aim at the segments worth winning
Tracking studies across wavesWhether KPIs are genuinely moving, with significance, giving early warning on decline and proof of what campaigns achieve
Shopper and channel behaviourWhere and why people buy and what drives store and channel choice, so distribution, range and in-store execution get sharper
The statistical read: weighting, base sizes and significanceWhich differences are real and which are random, so decisions hold up to boards, head office and auditors
How we work

How it runs

  1. Frame the decision

    We start from the business decision the study must inform, which fixes the population, the key metrics and the precision required before a single question is written.

  2. Design and sample

    We build the questionnaire from a metric map, set quotas on the variables that matter, and size the sample for the smallest subgroup you need to read on its own, then confirm the margin of error.

  3. Field with controls

    We collect data by the right mode or blend of modes, with live quota dashboards, GPS-tracked interviews, back-check validation and automated fraud and quality checks running throughout.

  4. Weight, test and deliver

    We weight to population targets, run significance testing, and deliver a decision-led report with cross-tabs and, where useful, a dashboard, plus a same-week topline where the decision is urgent.

Why SMRC

Why SMRC for quantitative research

SMRC is an independent Dubai consultancy with a senior team whose backgrounds include time at established international research firms, so global-standard method meets genuine local knowledge of the UAE and the wider Gulf. Because the UAE is a majority-expatriate market of many nationalities, we quota and weight on nationality and emirate, not just age and gender, and we field bilingually in Arabic and English as standard, adding further languages where the target requires. Our fieldwork is GPS-tracked and timestamped and validated through back-checks, and for shopper, retail and channel studies we can pair survey data with a retail panel of around 1,000 stores for a shopper-to-shelf view. Where a decision is time-critical, we deliver same-week toplines with the full analysis to follow, always reporting base sizes, weighting and margins of error so the evidence is auditable.

FAQ

Questions we get asked

How big a sample do I need?

It depends on the precision you need and how many subgroups you want to read separately, not on a fixed rule. For a total-market read, samples of several hundred to around 1,000 or more are common. The driver is the margin of error you can accept, for example plus or minus 3 to 5 percent at 95 percent confidence, and the smallest subgroup you must analyse on its own. We size to your decision, then confirm the resulting error margin up front.

Online panel or face-to-face, which is better?

Neither is universally better; it is a fit-to-objective choice. Online is fast and cost-efficient for connected, mainstream segments. Face-to-face and intercept reach segments that online under-covers, such as some Emirati, blue-collar, older or lower-income groups, and allow longer, more complex interviews. We often blend modes to keep the sample representative.

How do you make sure the data is representative and not just who was easy to reach?

Through quotas on the variables that matter, such as nationality, gender, age, emirate and category usage, during fieldwork, and weighting to known population targets afterwards. We also report base sizes and margins of error, so representativeness is transparent rather than assumed.

How do I know the interviews really happened and were not faked?

Field interviews are GPS-tracked and timestamped, and we validate a proportion through back-check call-backs, plus automated checks for speeders, straight-lining and duplicates. This is a core part of our quality control, not an add-on.

Can you run it in Arabic and English, and handle the expat mix?

Yes. We design and field bilingually as standard in Arabic and English, add further languages where the target requires, and use professional translation with back-translation. Because the UAE population is majority expatriate, roughly nine in ten residents, we quota and weight on nationality so the sample reflects the real population you are targeting.

How fast can we get results, and what do we get?

Timelines depend on sample size, mode and questionnaire length, but where a decision is urgent we can deliver same-week toplines, with the full analysis and report following. Deliverables include cross-tab tables, a decision-led report and, where useful, an interactive dashboard, always with significance testing so you know which differences are real.

Ready to get quantitative research that stands up?

Tell us the decision you need to make. We will design the study around it and bring you evidence you can act on, in Arabic and English, across the UAE and Gulf.