Marketers See Big Data Analysis As Critical Skill for Success
As marketers there is too much to keep up with for one person. Online, offline, traditional, digital, social, search, the list can go on and on. However, a recent study from The Economist Intelligence Unit (which was sponsored by Lyris and repackaged …
See all stories on this topic »
Mobile Marketing Isn't About Screens or Devices, It's About Behavior
Marketers can't remember this often enough: Mobile is not one screen or two screens. Or three screens (smartphone, tablet, and e-reader). Or four (ultrabook). Or five (phablet). Or six (fill in the blank with whatever connected device consumers will be …
See all stories on this topic »
Slideshare for Content Marketing :: Magnet Minute
Although the convenience of having a place to host your Powerpoint presentation online is great enough, this network is even more useful that that if you dig a little deeper. The amount of amazing content being saved on Slideshare is incredible …
See all stories on this topic »
Popular Questions
Why do marketers see big data analysis as a critical skill for success?
Big data analysis helps marketers turn large volumes of customer, campaign, and market information into useful decisions. It can reveal which audiences respond best, which channels produce results, and where marketing budgets are being wasted. Marketers who develop this skill can make evidence-based adjustments instead of relying only on assumptions or intuition.
How can big data analysis improve marketing campaign performance?
Marketers can compare metrics such as conversions, engagement, customer acquisition cost, and return on investment across campaigns. Analyzing these patterns makes it easier to identify effective messages, audience segments, and distribution channels. Teams can then test changes, shift resources toward stronger opportunities, and stop activities that consistently underperform.
What data analysis skills should marketers develop for career success?
Marketers should learn how to collect reliable data, organize it, and interpret key performance indicators. Basic skills in spreadsheets, dashboards, data visualization, and statistical reasoning can support daily decision-making. They should also understand data quality, privacy requirements, and the difference between correlation and a proven cause.
How can marketers start using big data analysis in their daily work?
Begin by defining a specific business question, such as why conversions dropped or which customer group has the highest retention rate. Gather relevant data from analytics platforms, customer relationship systems, advertising tools, and sales records, then check it for missing or inconsistent values. Present the findings in a clear report and connect each recommendation to a measurable marketing action.