Good Survey Response Rate

What is a Survey Response Rate?

A survey response is defined as a respondent receiving and completing a survey. An incomplete survey or survey dropout does not count towards the survey response.

For example, a study conducted to understand from potential respondents how useful an online tool is and what existing features do they like and what features they would like to see added to the tool. The survey can also track if the respondents would pay for additional features and the upper spend limits for the tool. The number of responses received for this survey is called the survey responses and this is used to calculate the survey response rate.

Calculating Survey Response Rate

Therefore, a survey response rate is calculated as the number of people that took and completed a survey divided by the sample that the survey was sent out to. This number can also be depicted in a percentage format which is calculated by dividing the number of survey responses by the total survey sample and multiplying that by 100.

Survey Response Rate

For example, an apparel brand sent out surveys to 2864 potential respondents. Out of which, 482 completed the survey. Here, the survey response rate by using the above formula is 16.82%. The steps in calculating this are:

  • 482/2864 = 0.1682
  • 0.1682*100 = 16.82

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Importance of Survey Response Rate

The survey response rate lends credibility to the research and the subsequent results. A low response rate may undermine the statistical ability of the collected data and in turn dilute reliability of the results. This results in the study not being indicative of the complete or a larger population. Two major factors that dictate the importance of survey response rates are:

  • Research objective: The end result of the research via the survey dictates what is an acceptable survey response rate. If purpose of the study is to project results to a larger population like with product feedback, awareness or usage trends etc. a higher survey response rate is important to adjudge the effectiveness of conducting the survey. If the research study is exploratory in nature; like with studies that seek insights about general attitudes, the representation isn’t as important and hence lower response rates do not impact the research outcome.
  • Data analysis: If the survey collects lower response rate, the data that is collected and analyzed cannot be considered as representative of the general population. Generally minimum samples are required to determine significance and lesser responses hamper the ability to conduct significance testing or even statistical analysis.

Factors that Influence Survey Response Rate

Multiple factors like the target audience, the survey objective, incentives offered, level of personalization etc. influence the response rate in a market research survey. The factors that influence survey response rates are:

    1. Survey Design: Before the survey is conducted, the end objective of the survey has to be clearly chalked out and hence the survey design is very important. This helps plan each milestone of the survey and there is no ambiguity on the data analysis. Some of the basic metrics to keep in mind are:
      • Survey Questions: Survey questions have to be easy to understand even easier to respond. This can help in collecting multiple and genuine responses.
      • Survey Length: The survey length has a major impact on the survey response. If the survey is too long, the respondent loses interest. If they were to even complete the survey, there is a risk of uninterested responses which dilutes the validity of the survey responses and analysis.
      • Survey Logic: The survey logic is an important aspect of the survey process. If the logic is erratic or the questions are disjointed, there is a high risk of a survey dropout.
    2. Respondent Demographics: The range of potential respondents for a survey is derived by a sampling method. A sample provides the best potential respondents for a survey on the basis of the respondent demographics. This maybe a mix of customers or respondents that are aware about the organization conducting the survey. The survey can also be sent out to an opt-in sample for a certain topic. Surveys that are sent out to B2B respondents and surveys sent out to B2C respondents also have different response rates. Lastly, some demographics of people generally have a higher response rate to surveys than some other demographics. All of these factors influence the survey response rate.
    3. Study Invitation: Respondents like to receive personalized invitations to a survey, even if they have opted in to be a part of that survey. A good survey invite should not only motivate participation but also set the expectations requirement (like time required, any further information to be provided etc.) of the survey and the value that the respondent would receive at the end of the survey. Managing expectations helps reduce the survey dropout rate and increase the value of the data collection.
    4. Survey Topic: Not all topics appeal to all potential respondents – some topics may be of more or lesser interest depending on each individual respondent. Participation may also be low if the research topic is potentially “sensitive”. In this case, it is important to reassure respondents about how the data would be collected and used.
    5. Incentives: Most surveys are taken only if the respondent finds some value in it for them. This value could be in the form of a tangible item like vouchers, coupons or the chance to own an object. The other incentive that piques the curiosity of a potential respondent is the chance to have access to the research report at the end of the study or some snippets of relevant information in return for completing the survey.

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Tips for a Good Survey Response Rate

A good survey response rate is a higher rate of survey responses in a survey than the average. The average rate of email surveys is 25%, online surveys is 30%, phone surveys is 73% and in-person surveys is 80%. Some tips for a good survey response rate are:

  • Target our audience: Consider a variety of sources for possible survey respondents. In addition to email mailing lists, for example, posting survey to web groups and communities.
  • Personalize mail invites: Personalized email invites have a very high brand recall in the mind of a respondent and result in an increased number of responses.
  • Inform respondents beforehand: A good survey response rate can be achieved when the survey doesn’t come as a surprise to potential respondents.
  • Effective follow up: Special care has to be taken in following up with a respondent that their time is valued but there is also stress in collecting their feedback.
  • Site embeds: There is a higher likelihood of a response when a potential respondent is on a page of your website and a website evaluation survey pops up.
  • Mobile: The survey has to be optimized and work on a mobile device. Due to the penetration and ease of use of mobile devices, this platform increases the probability for a good survey response rate.
  • Don’t ask what you already know: Asking irrelevant or unimportant questions can dilute the seriousness of a survey and cause the respondent to dropout thinking it is a waste of their time.

Advantages of a Good Survey Response Rate

The advantages of a good survey response rate are:

  • They help towards conducting an in-depth statistical analysis and provide comprehensive market research insights.
  • They provide actionable insights to an organization or a brand.
  • It can help make quick product or service upgrades.

Learn more: Customer Satisfaction (CSAT) Survey Questions + Sample Questionnaire Template

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