Tuesday, October 29, 2013

Meet the Dogs of Survey Analytics


Enough with our faces and the traditional business headshots - it's time for you to meet the adorable
dogs of Survey Analytics that keep our stress levels down as we are working hard to provide our dedicated and great service through a very busy time of the year. Last Friday afternoon - we had an update with our very dedicated and talented Tech Leader Shrikant Shinde who works in the Pune, India Survey Analytics Development Center via GoToMeeting. Shrikant had stayed up very late on a Friday night to meet with all of us. We all turned on our cameras briefly to spend some quality time with our very talented developer and showed him all of the pet dogs of the Survey Analytics family. We loved his reaction to us all having pets working alongside us.


It was nice to show the very unique corporate culture at Survey Analytics in the US to Shrikant. He is going to be briefly visiting us for the first time and coming to our Holiday Party. Survey Analytics Chief Growth Officer John Johnson captured a screenshot of all of the dogs on screen in our GoToMeeting and we shared it. GoToMeeting even gave us a shoutout back and shared the picture to their very large base of followers on Twitter. It was nice to see engagement from people and brands we normally wouldn't simply because we have a common ground for loving our pets.



Meet The Dogs of Survey Analytics in Cincinnati, OH and Seattle, WA


Cooper LaVielle loves Survey Analytics and hangs in Portland with VP of Client Services Esther LaVielle

Senior Software Consultant Nicole Price presents Dutchess Price

Software Consultant Nick Ruck brings his dog to the Cincinnati office very often! We <3 Mick Ruck

CEO Andrew Jeavons and his dog Nicky

Software Consultant Anthony Pavel shows off Sampson and Bruno Pavel 

Software Sales Manager Gretchen Lohman presents Harley Bean Lohman

Wednesday, October 23, 2013

[WEBINAR] How to Collect Feedback via Your Mobile Application




Join Survey Analytics on Thursday, November 7th, 2013 at 1PM EST/10AM PST for a special presentation on "How to Collect Feedback via Your Mobile Application." Even if you can't make it for the live presentation, sign up anyways and we will send you a copy of the video and slides following the presentation. A replay will also be available right here on this blog post.

The Opportunity for Mobile Apps 


Just five years ago Apple started the mobile app era that has now become a $25 billion industry. In a saturated app marketplace - it is increasingly important to do your research and be able to provide a strong value to retain your mobile app users. Did you know that only 7% of businesses have a mobile app? (Source: Econsultancy)

There is a large opportunity to engage with consumers through mobile applications like we were not able to before. When thinking of your mobile marketing strategy - incorporate the thought of apps, not just ads. Having a mobile application saves money and is more effective as a communication channel than mobile ads are. Users spend, on average, 82% of their mobile minutes with apps and just 18% with web browsers. (Source: Harvard Business Review).

Put Yourself in The Consumers Shoes


When browsing for apps, consumers want to know what's in it for them. With over 1,000,000 apps to choose from - why would they want to use yours? Like mentioned earlier, only 7% of businesses have apps on the market today. Of those businesses that have apps - many experience a pain point when it comes to getting more app downloads, finding active users that will spread the word vs. those who just flat out delete the app after just one use. Have you ever thought - maybe it's not them, maybe its the app? Your app is an opportunity to create long-term engagement from consumers to your brand.

If you already have an existing mobile app, ask yourself the following 10 questions:

  1. Do you understand how and why users choose and use apps?
  2. Do you know who is using your app and what their general interests are?
  3. What unique value does your app provide for the user?
  4. Do you tailor your application features to its users?
  5. Do you collect any feedback from your mobile app?
  6. Does your app not only incorporate but encourage social sharing?
  7. Do you send push notifications through your app to its users?
  8. Do you conduct surveys through your mobile application?
  9. Do you offer incentives, prizes, giveaways, points or rewards to app users?
  10. What makes your app different and how are you going to publicize that information?

Webinar Overview


If you already have an existing mobile app or wish to develop one soon, you don't want to miss out on this presentation. Smartphones are powerful and there are many areas where businesses can take more advantage of what information can be collected from them. In this webinar, you will learn not only tactics for engaging your mobile app users, but other forms of data can be collected right through your mobile app when it is running on a users phone. Technical specifications and how to collect this information will also be provided. 

Here's the Agenda:

  • The Future of Smartphones and Mobile Apps 
  • How to Drive Engagement Through Mobile Apps 
  • How to Listen To Your Mobile App Users 
  • What Data You Can Collect Through Your Mobile App 
  • Case Studies and Conclusions 
  • Live Q&A Session

Friday, October 18, 2013

Feature Spotlight: MaxDiff Scaling

Today's Survey Analytics Feature Spotlight is focusing on MaxDiff scaling (AKA Best/Worst Scaling) and the tools offered in Survey Analytics that make it simple to collect preference data. Using MaxDiff scaling in surveys allows you to conclude what the most and least preferred items are. MaxDiff scaling is easier for respondents to answer and is highly preferred over basic rating scales when needing to collect a lot of preference data.

What are the benefits of using MaxDiff Scaling? Using this feature, you gain more quantifiable data and put less fatigue on your survey respondents! Alongside from being user friendly and visually appealing in your survey, you can ask 15-20 sequences of MaxDiff questions and they are simple for the respondent to answer. This is simply because you are asking what is your "most preferred" and "least preferred" from a defined set of values.  MaxDiff preference data is measured on a scale of 100% or a 100 point scale making your data more quantifiable and easier to analyze. What about Reporting? Using Survey Analytics, you can see each end of the preference spectrum in tables and overall percentage numbers in visually appealing pie charts.

Scroll through the presentation below to learn more about MaxDiff Scaling, how you can define the attributes, incorporate images and how to analyze the data you have collected. View a live presentation of a survey with MaxDiff scaling incorporated here: http://surveyanalytics.com/t/ADQIBZNxb5













Monday, October 7, 2013

Research on Research: Mobile vs. Online

Access the Whitepaper
This research-on-research study by qSample President Rudly Raphael and SVP of MAi Research Bruce McCleary compares how research on Smartphones differs from data collected through general online sources. The white paper presents a study to each group on chewing gum preferences and closes with a recommendation on the usage and appropriateness of mobile research data collected via Smartphones.

Mobile technology is growing fast and revolutionizing the way society communicates in conducting business. Many businesses and organizations all over the world have jumped on the mobile bandwagon and mobile is noticeably here to stay. Traditional advertising from TV, radio and print has been on a steady decline since new digital service platforms have become available.

Although Smartphones are taking off, they do not yet represent the world population as a whole. Many mobile users around the world do not have newer phones, data plans or the ability to participate in research through Smartphones. For instance, only about 60% of mobile phones in the U.S. are Smartphones with data plans. However, being able to access the Internet is nearly universal.

How does the mobile vs. online sample match up in the results?
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