Understanding  Coincidental Survey

Are you tired of spending hours creating surveys and collecting data? Look no further than the coincidental survey. This method is unique in that it takes advantage of natural coincidences to gather valuable market research data. Here's everything you need to know:

What is a Coincidental Survey?

A coincidental survey is a market research method that uses natural occurrences to gather data. For example, a car dealership may use license plate numbers to determine which neighborhoods their customers are coming from. This method is great for gathering quantitative data quickly and easily.

How is Survey Design Different?

Since coincidental surveys use natural occurrences, there isn't much room for survey design. However, it's important to identify what information you want to gather beforehand so you can tailor your data collection around that.

What are the Benefits of Coincidental Surveys?

The benefits of using this method include:

• Lower costs
• Quicker data collection
• Less pressure on participants
• Easy access to large populations

How Does Data Collection Work?

Data collection is simply a matter of taking advantage of natural occurrences. Some examples include:

• Counting the number of people who visit your website from certain locations
• Collecting email addresses at events or seminars
• Tracking where your products are being purchased

What about Qualitative Research?

Qualitative research can be more difficult with this method, but it's not impossible. For example, you could conduct follow-up surveys or interviews with participants after collecting their information coincidentally.

Is Quantitative Research Possible?

Yes! In fact, qualitative research may be easier to obtain with this method since the numbers are readily available through the coincidences.

In conclusion, if you're looking for a quick and easy way to gather market research, consider using a coincidental survey. Happy researching!

References

1. Grewal, D., & Levy, M. (2015). Marketing (5th ed.). New York: McGraw-Hill.
2. Hair Jr., J., Celsi M., & Bush R.P.W (2019). Essentials of Marketing Research and Analytics (5th ed.). New York: McGraw-Hill.
3. Kinnear T.C., & Taylor J.R (1996). Marketing Research: An Applied Orientation (3rd ed.). New York: McGraw-Hill.
4. Malhotra N.K.& Birks D.F.(2017). Marketing Research: A European Perspective 2nd Edition Prentice Hall; Harlow edition.
5. Churchill Jr.G.A.& Iacobucci.D.(2009). Marketing Research 10th Edition Cengage Learning US : Mason Ohio