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Market Research & Customer Insights Training Course

Teaches research methods for investigating customer needs, market dynamics and competitors, and for turning findings into insight-led business decisions.

MKT · Marketing & Marketing StrategyAll Levels#2782ClassroomEnglish , Arabic
Duration
5 Days
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Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy

Course Overview

The Market Research & Customer Insights Training Course develops the practical capabilities required to understand market dynamics, investigate customer needs, evaluate competitive conditions, and translate research findings into informed business decisions. It focuses on the methods organizations use to reduce market uncertainty, identify growth opportunities, and align products, services, and marketing strategies with customer expectations. Participants explore qualitative and quantitative research methods, survey design, customer interviews, focus groups, sampling techniques, and secondary data analysis. The course examines how to formulate research questions, select appropriate methodologies, collect reliable information, and assess the quality and relevance of findings while minimizing bias. The programme also addresses customer segmentation, purchasing behaviour, customer journey analysis, satisfaction measurement, and the identification of unmet needs. Participants learn to combine research findings with sales data, customer feedback, digital analytics, and competitive intelligence to develop actionable customer insights. Through practical exercises and business scenarios, participants develop a structured research approach that connects business questions with appropriate data collection methods, analytical techniques, and strategic recommendations. The emphasis is on producing credible insights that support market positioning, product development, customer experience improvement, customer retention, and sustainable business growth.

Learning Objectives

  • Explain the role of market research and customer insights in strategic and operational decision-making.
  • Formulate research objectives, business questions, and hypotheses aligned with organizational priorities.
  • Select appropriate qualitative and quantitative research methods based on research requirements.
  • Design effective questionnaires, customer interviews, and focus group discussions.
  • Apply suitable sampling techniques and evaluate the reliability of collected data.
  • Analyse customer needs, preferences, expectations, and purchasing behaviour.
  • Segment customers using demographic, behavioural, psychographic, and value-based criteria.
  • Interpret market trends, competitive intelligence, and customer feedback to identify opportunities.
  • Apply analytical techniques to identify patterns, relationships, and emerging customer needs.
  • Translate research findings into clear insights and actionable business recommendations.
  • Evaluate customer satisfaction, loyalty, and experience using relevant measurement frameworks.
  • Prepare structured market research reports and communicate findings to decision-makers.

Who Should Attend

This course is designed for professionals responsible for understanding markets, analysing customer behaviour, evaluating business opportunities, and supporting strategic decisions through research and data analysis. It is particularly relevant to organizations seeking to strengthen customer understanding, improve market responsiveness, and develop products and services based on reliable evidence. Suitable participants include: Market research managers and research analysts. Marketing managers and marketing strategy specialists. Customer insights and customer intelligence professionals. Business development and commercial planning managers. Product managers and product development specialists. Customer experience and customer relationship management professionals. Sales and key account managers seeking deeper customer understanding. Business intelligence and data analytics professionals. Brand managers and customer segmentation specialists. Strategic planning professionals and business decision-makers.

Learning Outcomes

  • Define research objectives and formulate focused questions that address business challenges.
  • Select appropriate research designs and data collection methods for different market questions.
  • Develop structured questionnaires and interview guides that produce relevant and reliable information.
  • Apply sampling methods appropriate to the target population and research objectives.
  • Identify common sources of research bias and implement measures to improve data quality.
  • Analyse customer preferences, motivations, purchasing patterns, and decision-making factors.
  • Develop meaningful customer segments and evidence-based customer profiles.
  • Evaluate customer feedback, satisfaction, loyalty, and experience across key touchpoints.
  • Interpret market trends and competitor information to identify commercial opportunities.
  • Convert research findings into insights that support marketing, product, and customer experience decisions.
  • Prepare clear research reports supported by relevant evidence, analysis, and recommendations.
  • Present customer insights to stakeholders and connect findings to measurable business actions.

Course Outline

Day 1

Market Research Foundations and Research Planning

  • The role of market research in strategic planning, marketing, product development, and business growth.
  • Understanding the relationship between business problems, research questions, and decision requirements.
  • Defining research objectives, hypotheses, scope, and expected deliverables.
  • Distinguishing between exploratory, descriptive, and causal research.
  • Comparing primary and secondary research and identifying appropriate data sources.
  • Reviewing internal data, industry reports, published studies, customer records, and market intelligence.
  • Assessing market size, demand patterns, customer trends, and industry developments.
  • Identifying target populations, research constraints, and information gaps.
  • Evaluating research feasibility, timelines, costs, and resource requirements.
  • Establishing ethical research practices, informed consent, confidentiality, and responsible data handling.
  • Preparing a research brief that connects business objectives with the proposed methodology.
  • Practical Exercise: Prepare a market research brief for a selected business challenge, defining the research problem, objectives, key questions, target population, proposed methodology, timeline, and expected business value.
Day 2

Research Methodologies, Survey Design, and Data Collection

  • Comparing qualitative and quantitative research methods and their applications.
  • Designing customer surveys and questionnaires with clear, neutral, and relevant questions.
  • Applying open-ended, closed-ended, rating-scale, and ranking questions.
  • Avoiding leading questions, ambiguous wording, double-barrelled questions, and response bias.
  • Developing customer interview guides and conducting structured or semi-structured interviews.
  • Planning focus group discussions and managing participant interaction.
  • Selecting sampling methods, including probability and non-probability approaches.
  • Understanding sample size considerations, representativeness, and research limitations.
  • Conducting pilot tests to identify questionnaire and data collection problems.
  • Collecting information through online surveys, telephone interviews, in-person research, and digital channels.
  • Reviewing data quality, consistency, completeness, and potential sources of error.
  • Applying ethical and privacy-conscious practices throughout the research process.
  • Practical Exercise: Design a customer questionnaire and interview guide for a selected product or service, identify the target population and sampling approach, and develop a pilot-testing checklist to improve data quality.
Day 3

Customer Behaviour, Segmentation, and Customer Insights

  • Understanding customer needs, motivations, expectations, preferences, and purchasing decisions.
  • Analysing the customer decision-making process from awareness to purchase and post-purchase evaluation.
  • Identifying functional, emotional, and service-related factors that influence customer choices.
  • Applying demographic, geographic, psychographic, behavioural, and value-based segmentation.
  • Developing customer profiles and buyer personas using research evidence.
  • Mapping customer journeys and identifying critical touchpoints and pain points.
  • Analysing customer feedback, complaints, reviews, and service interactions.
  • Evaluating customer satisfaction, loyalty, retention, and switching behaviour.
  • Identifying unmet needs, underserved segments, and opportunities for product or service improvement.
  • Combining survey findings, sales information, customer relationship management data, and digital analytics.
  • Distinguishing observed customer behaviour from assumptions and unsupported interpretations.
  • Translating research patterns into meaningful insights and potential business actions.
  • Practical Exercise: Analyse a sample customer dataset and feedback summary to identify customer segments, purchasing motivations, journey pain points, and unmet needs, then develop three evidence-based insights with recommended business actions.
Day 4

Market Data Analysis, Competitive Intelligence, and Interpretation

  • Preparing research data for analysis through validation, cleaning, and classification.
  • Applying descriptive statistics to summarize customer and market information.
  • Interpreting frequencies, averages, distributions, percentages, and cross-tabulations.
  • Comparing customer groups, product preferences, purchase patterns, and satisfaction levels.
  • Identifying trends, relationships, and recurring patterns in quantitative and qualitative data.
  • Coding qualitative responses and grouping comments into themes.
  • Evaluating competitor offerings, pricing approaches, positioning, communication, and customer experience.
  • Using competitor benchmarking to identify performance gaps and differentiation opportunities.
  • Distinguishing correlation from causation and avoiding misleading conclusions.
  • Assessing research limitations, uncertainty, sample bias, and data reliability.
  • Combining multiple information sources to validate findings and strengthen interpretation.
  • Using spreadsheets, dashboards, and suitable analytical tools to present market evidence.
  • Practical Exercise: Analyse a sample market research dataset, compare customer segments and competitor performance, identify significant patterns and limitations, and prepare an evidence-based interpretation of the findings.
Day 5

Insight Reporting, Strategic Recommendations, and Business Application

  • Structuring market research reports around business questions, findings, and decisions.
  • Presenting key findings through executive summaries, charts, tables, and concise narratives.
  • Distinguishing research observations, customer insights, implications, and recommendations.
  • Prioritizing insights according to customer impact, commercial value, feasibility, and strategic relevance.
  • Translating research findings into marketing, product development, pricing, and customer experience initiatives.
  • Using customer insights to refine value propositions, positioning, and communication strategies.
  • Developing recommendations for customer acquisition, retention, satisfaction, and loyalty improvement.
  • Presenting research results to senior management and cross-functional stakeholders.
  • Communicating uncertainty, limitations, and assumptions transparently.
  • Establishing action plans with owners, timelines, resources, and measurable success indicators.
  • Monitoring the impact of research-led decisions and evaluating business outcomes.
  • Building a continuous customer insight process that incorporates feedback and ongoing market monitoring.
  • Practical Exercise: Prepare and present a concise market research report for a selected business challenge, including key findings, customer insights, supporting evidence, strategic recommendations, implementation priorities, and measurable performance indicators.

Upcoming Dates

Selected date

Cairo · 11 – 15 Jan 2027 · Classroom

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CityDatesPrice per ParticipantEarly Bird
MuscatScheduled
2 – 6 Nov 2026€5,300—
MakkahScheduled
2 – 6 Nov 2026€4,200—
OnlineScheduled
8 – 12 Nov 2026€1,700—
ParisScheduled
9 – 13 Nov 2026€5,700—
RiyadhScheduled
16 – 20 Nov 2026€4,200—
ManamaScheduled
23 – 27 Nov 2026€4,700€4,230until 2 Nov
RomeScheduled
23 – 27 Nov 2026€5,800€5,220until 2 Nov
ViennaScheduled
30 Nov – 4 Dec 2026€5,700€5,130until 9 Nov
AbujaScheduled
7 – 11 Dec 2026€5,100€4,590until 16 Nov
MuscatScheduled
14 – 18 Dec 2026€5,300€4,770until 23 Nov
AccraScheduled
14 – 18 Dec 2026€5,100€4,590until 23 Nov
AmmanScheduled
20 – 24 Dec 2026€3,100€2,790until 30 Nov
BakuScheduled
28 Dec 2026 – 1 Jan 2027€4,800€4,320until 7 Dec
AmsterdamScheduled
28 Dec 2026 – 1 Jan 2027€5,400€4,860until 7 Dec
OnlineScheduled
3 – 7 Jan 2027€1,700€1,530until 14 Dec
BarcelonaScheduled
4 – 8 Jan 2027€5,400€4,860until 14 Dec
CairoScheduled
11 – 15 Jan 2027€3,300€2,970until 21 Dec
Cape TownScheduled
18 – 22 Jan 2027€5,100€4,590until 28 Dec
ParisScheduled
25 – 29 Jan 2027€5,700€5,130until 4 Jan
CasablancaScheduled
25 – 29 Jan 2027€4,300€3,870until 4 Jan
DammamScheduled
1 – 5 Feb 2027€4,200€3,780until 11 Jan
DohaScheduled
8 – 12 Feb 2027€4,400€3,960until 18 Jan
DubaiScheduled
14 – 18 Feb 2027€4,400€3,960until 25 Jan
GenevaScheduled
15 – 19 Feb 2027€6,300€5,670until 25 Jan
SalalahScheduled
15 – 19 Feb 2027€5,300€4,770until 25 Jan
IstanbulScheduled
22 – 26 Feb 2027€4,700€4,230until 1 Feb
JeddahScheduled
28 Feb – 4 Mar 2027€4,200€3,780until 8 Feb
Sharm El-SheikhScheduled
8 – 12 Mar 2027€4,300€3,870until 15 Feb
KigaliScheduled
8 – 12 Mar 2027€5,100€4,590until 15 Feb
Kuala LumpurScheduled
15 – 19 Mar 2027€4,400€3,960until 22 Feb

Available in: Istanbul · Dubai · London · Riyadh · Doha · Amsterdam

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