Discerning Patterns in Data: Four Tools that Can Help

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Data is nothing without an accompanying analysis. While many companies partner with firms or individual consultants to gain insights into their marketing data, you can learn many things in-house by using free, low-cost and enterprise-level tools.

Here are a few of our favorites:

Google Analytics

Google Analytics is the essential tool for deep insights into your website’s visitors. The tool allows you to learn about and segment your audience by demographic characteristics, personal interests and much more. Google Analytics also creates visualizations of the paths users take through your site and allows you to set up goals for certain actions you want them to take. The range and depth of analysis provides powerful insights into the habits of your site’s users. Analytics are available for both websites and mobile apps.

Hubspot

Available at multiple price points, Hubspot provides an integrated solution for all your digital marketing activities, from your landing pages to your email campaigns. Hubspot provides a single place from which your marketing team can publish social posts, compose and send email to your mailing list, add SEO keywords to your website and more. With this combination of tools, you can make sense of gathered data and employ insights quickly and seamlessly across all campaigns. Then, just use Hubspot’s rich analytics to watch the ways your new tactics impact audience engagement.

Data Market

Get access to data collected around the world with Data Market, and use it as a standard of comparison for your own data. With such a range of data at your fingertips, you can make informed decisions about where to begin plans for your own marketing campaigns. The program will also create visualizations of your data.

StatWing

StatWing offers tools for data analysts that allow users to  efficiently analyze large spreadsheets. The program automatically accounts for outliers and creates visual models of your data.

Do you have other favorites we should know about? Join us on Wednesday for a deeper dive into marketing data analysis, when we will discuss how to determine the significance of your data.

Photo Credit: peter via Flickr Creative Commons

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