Digital Data Exhaust Survey

Thank you for taking the time to participate in our survey. It should take less than 3 minutes.

Data exhaust is a term used to describe data that companies toss out because it provides less or no value to their core business. However, data is becoming increasingly more important and presents additional revenue-generating opportunities. Having quality location data with wide coverage is one example of an opportunity to enhance insights into a user base for advertising, analysis, and analytics.

This survey is designed to quickly explore the possibilities of amplifying your business’s data by discovering whether or not you’re throwing away valuable information that could, ultimately, help generate additional revenues.

How important is location data to you/your clients’ marketing efforts?

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* 1. How important is location data to you/your clients’ marketing efforts?

What percentage of your data do you throw away because there is not a latitude and longitude (GPS-derived) data response?

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* 2. What percentage of your data do you throw away because there is not a latitude and longitude (GPS-derived) data response?

If you could utilize an extra 25% of the data that you currently throw away, how would that affect your revenue (advertising or otherwise)?

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* 3. If you could utilize an extra 25% of the data that you currently throw away, how would that affect your revenue (advertising or otherwise)?

Are you aware that there is IP-address data available associated with mobile devices that can accurately provide location intelligence down to a block level and even exact lat/long at times?

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* 4. Are you aware that there is IP-address data available associated with mobile devices that can accurately provide location intelligence down to a block level and even exact lat/long at times?

What are your top concerns when it comes to IP data? (Pick 3)

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* 5. What are your top concerns when it comes to IP data? (Pick 3)

What type of IP data is your company currently using? (Check all that apply)

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* 6. What type of IP data is your company currently using? (Check all that apply)

What type of IP data would you like to add/plan to add in the next 12-18 months? (Check all that apply)

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* 7. What type of IP data would you like to add/plan to add in the next 12-18 months? (Check all that apply)

How would you qualify your company’s use of all the available data associated with an IP address?

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* 8. How would you qualify your company’s use of all the available data associated with an IP address?

How concerned are you with data exhaust?

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* 9. How concerned are you with data exhaust?

In what areas would leveraging more data associated with an IP address positively impact your company/clients? (Check all the apply)

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* 10. In what areas would leveraging more data associated with an IP address positively impact your company/clients? (Check all the apply)

What future trend or issue do you see affecting the use of data for digital marketing?

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* 11. What future trend or issue do you see affecting the use of data for digital marketing?

In which country is your company’s headquarters located?

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* 12. In which country is your company’s headquarters located?

What is your title?

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* 13. What is your title?

What role best describes your involvement with marketing data?

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* 14. What role best describes your involvement with marketing data?

How much influence do you have on the type of marketing data your company uses?

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* 15. How much influence do you have on the type of marketing data your company uses?

Describe your company’s current lifecycle position

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* 16. Describe your company’s current lifecycle position

Describe your company’s industry segment

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* 17. Describe your company’s industry segment

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