5 Tips for Successful Surveys

  |  January 18, 2011   |  Comments

Surveys are a great source of insight, but make sure that you make the most of them by getting good quality inputs.

Surveys are powerful ways of gaining great insight into your customers. Well-managed surveys can help you discover who your customers are, how they behave (to some extent), and, most importantly, what they think and why they do the things they do. In the digital space, there are a number of ways that you can collect customer feedback using surveys either on the site itself or by e-mail, if you have the relevant details. The cost of survey data collection can be quite low, and there are many different survey technologies out there to choose from. But what makes a successful survey? Here are some thoughts.

KISS – Keep It Simple...

If you're running surveys on the site itself, then aim for maximum simplicity. This will help with your response rates and with the quality of the data you collect. Try and be as efficient as possible in your data collection and always ask yourself when you're designing the questionnaire what you will do with the data that you're collecting. Do you really need to know?

Think about the effort involved in answering your surveys. Asking people to write in answers to open-ended questions can give you great data, but it can also put people off. The questions should be optional and limited.

Make It Engaging

Try and make the survey as engaging as possible. You don't need flashing lights and bells, but think about how it looks visually, how it reads, and whether or not it's interesting. If it isn't relevant, then people won't fill it in. So don't focus just on the data you want to collect, but also think about the experience of filling in the service itself. Is it something you would want to do?

Don't Ask Everyone

Typically, don't invite everyone who visits the site to take part in your survey. Most survey technologies allow you to select a sampling rate, which determines how often the survey invitation will appear. With surveys, you need a certain amount of data for the responses to be reliable. I usually aim for a minimum of 500 respondents for the amount of data that I want to analyze. If you want 500 respondents, you'll need to figure out how many people you'll need to ask to get that many responses and then compare that against the number of people that visit the website to get your sampling rate. It will take some trial and error to start off with.

Test, Test, Test

Always test your survey before going live. There's nothing worse than finding out afterwards that something didn't work properly or you weren't getting the kind of data that you hoped. By then, it's too late. You can test it by doing it yourself, by getting colleagues to fill it in, or by making it live with a very low sampling rate. Look at the data you get back. Does it make sense? If you've put some routing in where only certain types of people answer particular questions, make sure that's working in the way you expected. Once you're happy, then make it live or increase the sampling rate.

Be Prepared for Feedback

You're asking for feedback and you will get it, but maybe not in the form that you expected. Customers can see surveys as an opportunity to communicate rather than just to give feedback. Often if you have questions in your survey where respondents can write something down (such as "Can you tell us how we can improve the experience you had today?"), then they will tell you. That might involve a customer service issue, such as they tried to make a booking and failed and they want you to call them back.

Many times I've seen those sorts of comments from surveys, where the respondent leaves their name, address, and telephone details expecting the company to get back in touch with them. If nothing happens, that's not good, so you should have a system that means you are regularly looking out for that kind of customer service issue.

Analyze Wisely

Survey data is great, but it needs to be handled with care. All data has bias and error in it and survey data is no exception. Certain types of people are more likely to fill in a survey than others and so you need to take that into account when you're looking at the results. Wherever possible, compare and contrast your results either over time or among different segments, such as gender, age, frequency of use, and so on.

Surveys are a great source of insight, but make sure that you make the most of them by getting good quality inputs.

Tags:

ClickZ Live Toronto On the heels of a fantastic event in New York City, ClickZ Live is taking the fun and learning to Toronto, June 23-25. With over 15 years' experience delivering industry-leading events, ClickZ Live offers an action-packed, educationally-focused agenda covering all aspects of digital marketing. Register today!

ClickZ Live San Francisco Want to learn more? Join us at ClickZ Live San Francisco, Aug 10-12!
Educating marketers for over 15 years, ClickZ Live brings together industry thought leaders from the largest brands and agencies to deliver the most advanced, educational digital marketing agenda. Register today and save $500!

ABOUT THE AUTHOR

Neil Mason

Neil Mason is SVP, Customer Engagement at iJento. He is responsible for providing iJento clients with the most valuable customer insights and business benefits from iJento's digital and multichannel customer intelligence solutions.

Neil has been at the forefront of marketing analytics for over 25 years. Prior to joining iJento, Neil was Consultancy Director at Foviance, the UK's leading user experience and analytics consultancy, heading up the user experience design, research, and digital analytics practices. For the last 12 years Neil has worked predominantly in digital channels both as a marketer and as a consultant, combining a strong blend of commercial and technical understanding in the application of consumer insight to help major brands improve digital marketing performance. During this time he also served as a Director of the Web Analytics Association (DAA) for two years and currently serves as a Director Emeritus of the DAA. Neil is also a frequent speaker at conferences and events.

Neil's expertise ranges from advanced analytical techniques such as segmentation, predictive analytics, and modelling through to quantitative and qualitative customer research. Neil has a BA in Engineering from Cambridge University and an MBA and a postgraduate diploma in business and economic forecasting.

COMMENTSCommenting policy

comments powered by Disqus

Get the ClickZ Analytics newsletter delivered to you. Subscribe today!

COMMENTS

UPCOMING EVENTS

Featured White Papers

Gartner Magic Quadrant for Digital Commerce

Gartner Magic Quadrant for Digital Commerce
This Magic Quadrant examines leading digital commerce platforms that enable organizations to build digital commerce sites. These commerce platforms facilitate purchasing transactions over the Web, and support the creation and continuing development of an online relationship with a consumer.

Paid Search in the Mobile Era

Paid Search in the Mobile Era
Google reports that paid search ads are currently driving 40+ million calls per month. Cost per click is increasing, paid search budgets are growing, and mobile continues to dominate. It's time to revamp old search strategies, reimagine stale best practices, and add new layers data to your analytics.

WEBINARS

Resources

Jobs

    • GREAT Campaign Project Coordinator
      GREAT Campaign Project Coordinator (British Consulate-General, New York) - New YorkThe GREAT Britain Campaign is seeking an energetic and creative...
    • Paid Search Senior Account Manager
      Paid Search Senior Account Manager (Hanapin Marketing) - BloomingtonHanapin Marketing is hiring a strategic Paid Search Senior Account Manager...
    • Paid Search Account Manager
      Paid Search Account Manager (Hanapin Marketing) - BloomingtonHanapin Marketing is hiring an experienced Paid Search Account Manager to...