Quantitative Research
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Quantitative Research

The best way to begin any Quantitative Research Study is to define its main objectives. The core objective of Quantitative Market/ Primary Research (MR) is to identify the answers to business questions and determine the gaps lying within our customer-base/ consumer-base. Quantitative market research is conducted to gather quantifiable numerical information about a product/service through surveying/interviewing the respondent consumers (users).

Mostly companies have fuzzy set of ideas about their customers but Quantitative Research defines the process and gives you crisp goals for research. Mostly companies initiate the research but do not have clear understanding on what they want in return. Quantitative Research helps the clients in winning their customers repeatedly with the help of expert knowledge and skill-sets of research teams.

The major use of quantitative market research is that it is easier to conduct and coordinate research to a bigger sample. In turn, it can result in a further precise and more insightful understanding of the market conditions.

Quantitative research is based on huge samples and addresses questions like:

  • Frequency at which customers buy a product
  • If a specific promotional strategy is used, then how many customers would be willing to buy that product/ service

Below are the Quantitative research techniques that are used to collect data from respondents:

  • Face-to-Face (FTF or F2F) Personal Interviewing
  • Telephonic Interviewing
  • Web-based (Online or Computer-based or Smartphone-based) Interviewing
  • Hybrid Surveys

The main research techniques used for conducting quantitative market research are as follows:

  • Consumer (B2C) Market Interview (Survey)
  • Business Respondent (B2B) Survey
  • Face to Face (F2F or FTF) Interviewing or Data Collection
  • Computer Aided Personal Interviewing (CAPI)
  • Pen and Paper Interviewing (PAPI)
  • Computer Aided Telephonic Interviewing (CATI)
  • Online Survey Data Collection
  • Data Processing (DP)
  • Product Clinic Survey
  • Central Location Testing (CLT)
  • Product Placement Interviewing
  • Retail Store Audits
  • Mystery Audits (Shopping)
  • Data Validation Service
  • Data Analysis

Our researchers focus on understanding the client’s needs and gather all relevant information on any domain/industry. Our dedicated team of quantitative experts provides direction and insight for variable goals. The field interviewers undergo project specific training and mock interviewing sessions provided by industry-expert market researchers. An elaborate interviewer rating mechanism ensures that those who have carried out the task efficiently can work for the projects.

Besides conducting an end-to-end quantitative research we also provide stand-alone services such as:

  • Development of Recruitment screener questionnaires Reporting
  • Development of Questionnaires
  • Respondent recruitment for online surveys/ Central Location Test (CLT)
  • Survey Audits – back checks for survey data collection done by any other agency
  • Questionnaire Translation Services
  • Data Processing
  • Analysis
  • Reporting

We offer multi-mode data collection support in India-both online and offline platforms. Experience in handling Business-to-Business (B2B) and Business-to-Consumer (B2C) studies in the domestic Indian market we also deliver:

  • Street and Mall Intercepts
  • Door-to-Door Interviews
  • Central Location Tests (Logo Testing, Concept Use Tests)
  • In-depth Interviews or Dipstick Surveys
  • Focus Group Discussions (Recruitment And Moderation)
  • Auto Clinics
  • Mystery Shopping

Validating all data collection and field activities of the data collection teams, our dedicated Quantity Control (QC) team work closely with selected field interviewing teams and review every survey through multiple QC checkpoints before dispatching it to the client.

Benefits and Drawbacks of using Quantitative Market/ Primary Research


  • Quantitative Research allows researchers to conduct a comprehensive survey which leads to accurate results.
  • There is less scope pf emotion and data is totally numerical which gives you the desired result.
  • It is more comprehensive and the research results are easier to formulate business strategies by the clients.


  • Quantitative research is too rigid and does not provide details on motivation, attitude and behavior of subject/ respondent.
  • You tend to overlook assumptions.
  • If there is an accuracy problem with the data, then entire research may turn out to be false.
  • Involvement of large sample size makes this research more complex and time consuming.

It is highly recommended/ suggested to conduct a good mix of Qualitative research and Quantitative research to meet desired business objectives and yield precise results.