Sunday, February 22, 2015

Google: The ultimate open relationship

Information is power. It’s no secret that one of the most successful web-based companies collects user data from millions of its accounts every day. It’s only when figuring out how many Google services a person uses on a regular basis that they might realize exactly how much information Google is collecting.

According to Rosenfeld (2014), no longer satisfied with vacuuming, scanning, indexing and selling analytics based on texts, emails, searches, locations and more, Google now has a new target: tapping, mapping and colonizing the networks wiring our lives. Google argues that it has the right to collect most sensitive data, as long as it flows across an open WiFi network (Rosenfeld, 2014). This statement was made after Google announced its acquisition of Nest, which sells WiFi-controlled home heating appliances. Google is not only in homes, but also in cars, offices and any other places that an open WiFi network is available.

There are several ways that Google has been collecting data that might seem a bit uncomfortable for most such as its Google Street View. After being sued by 38 states, Google admitted that it’s cars outfitted with rood cameras facing four direction weren’t just taking pictures; They were also collecting data from computers inside homes and structures, including pass words, emails and other personal information from unsuspecting computer users (Rosenfeld, 2014).

Google has also been attacked by Gmail users who were objected to its practice of analyzing the content of all messages on its network and selling byproducts to advertisers (Rosenfeld, 2014). This issue isn’t a new struggle to Google. In 2009, Google’s lawyers said that its email technology was used for scanning spam, computer viruses and serving ads within Gmail but last fall Google failed to let consumers know that Google create personal profiles and target users with ads (Rosenfeld, 2014). This also included people who are not Gmail users, but write emails to those who have Gmail addresses.

In early 2012, the Wall Street Journal noted that Google’s software was bypassing security settings for Apple devices using the Safari browser. Google’s secret code to bypass the security settings exposed millions of Safari users to tracking for months without knowing (Rosenfeld, 2014). The Federal Trade Commission fined Google $22.5 million, its largest civil fine, noting that Google had violated previous privacy agreements (Rosenfeld, 2014).

With Google’s history of sharing information with advertisers and the government, Nest users have fine reason to feel discomfited. Prior to Google’s $3.2 billion acquisition, Nest was already involved in data collection to iterate and improve its products and services (Sharma, 2014). Several privacy questions are raised when combining with the combination of Nest’s data, such as movements around the home, and Google’s communication data. For example, Google could easily combine this data set with other services to gain an even more complete picture of a person’s movements (Sharma, 2014). It would be relatively easy for Google to know that you left home after receiving an email from a coworker.  

According to Castillo (2013), Google openly admits that it collects six types of information from its users including device information, log information, location information, unique application numbers, local storage and cookies. Giving the ability for the powerhouse company to not only know your operating system, what you search for, where you search for it and any other personal information associated leaving little to no room for actual privacy. While some may consider this the price they pay for access to Google’s mostly free tools, others are not comfortable with the open relationship Google has with its users. It’s commonly compared to a person leaving their house and stranger following them, noting where they live, who their friends are and where they shop. That stranger would then turn in that information with individuals who didn’t know the person and in turn those individuals would stop that person in the street and offer them goods and services.

As companies seek to capture data about consumer’s habits, privacy concerns have flared. Consumers are concerned, not just about targeted marketing but what can be inferred about them every time they “like” something on Facebook or post a snarky tweet on Twitter (Martin, 2014).

Just because a company has the ability to collect a variety of personal information, does not mean it should use it. Companies risk hurting its relationship with its consumers where using this data, especially when tailoring messaging and offers.

According to Hui Xiong, an associate professor of management science and information systems at Rutgers Business School, one way that companies can harness data power while heeding privacy worries is to aggregate their data (Martin, 2014). Companies are able to create algorithms that identify patterns but protect individual identities. Therefore, if data shows that 50 people are following a particular shopping pattern, a company can act on that data rather than mining further and potentially exposing individual behavior. It is a company’s responsibility to decide what exact information it will analyze, while also keeping in mind how that data collection will affect its relationship. With the most information comes the most responsibility.

The ethics come into the analysis through scientist and company directives. To help protect personal information, the government should have proper regulations about how and what kind of data should be collected. In addition, it should imperative that the industry should have and abide some standards for the use of big data. In turn, it’s important to assess if that is realistic or not. While companies could be regulated by government or by an industry standard, what will stop them from actually collecting, analyzing and using the data? It is necessary to have a corporate conviction and belief that consumer trust is a priority.

Data gathering is not going away. The privacy issues that arise with new technologies will continue to be debated as those technologies evolve over time. These issues deserve attention and some might say that certain rewards aren’t worth the risk, each depending on the specific type of data being collected.


References

Castillo, M. (2013, August 5). 6 kinds of your information Google openly admits to collecting. Retrieved February 22, 2015, from http://upstart.bizjournals.com/news/technology/2013/08/15/6-data-categories-google-collects.html?page=all

Martin, E. R. (2014, March 27). The Ethics Of Big Data. Retrieved February 22, 2015, from http://www.forbes.com/sites/emc/2014/03/27/the-ethics-of-big-data/

Rosenfeld, S. (2014, February 5). 4 ways Google is destroying privacy and collecting your data. Retrieved February 22, 2015, from http://www.salon.com/2014/02/05/4_ways_google_is_destroying_privacy_and_collecting_your_data_partner/

Sharma, R. (2014, January 13). Google's Acquisition Of Nest And Your Privacy. Retrieved February 22, 2015, from http://www.forbes.com/sites/rakeshsharma/2014/01/13/googles-acquisition-of-nest-and-your-privacy/


Sunday, February 15, 2015

Crazy Egg: The not so rotten egg

Web analytics gives a brand more clarity about the traffic visiting its site as well as the results of an advertising campaign. These analytics also represent the ability for companies to learn about customer behaviors allowing it to take corrective action whenever necessary. By regularly reviewing web analytics, brands have a chance to build an efficient and user-friendly site, therefore, making it easier to communicate a message and increase conversions.

Crazy Egg is an analytics tool that allows users to build heat maps and track visitors’ every click based on where they are specifically clicking within a brand’s website. This platform allows brands to explore what parts of a site that users are finding most interesting and clicking on the most (Walsh, 2013). This is helpful in improving website design and in essence improving the rate of conversion. In theory, by finding out the users click paths, companies can make changes to its site and therefore hopefully be able to create a higher rate of conversions. Metaphorically, Crazy Egg is like a pair of x-ray glasses that lets a person see exactly what people are doing on a specific website.

Once signed into a Crazy Egg account, the first step is to create a snapshot, which is a moment in time for a given page similar to a virtual screenshot (Walsh, 2013). When creating a snapshot, a small code snippet is provided to enable tracking for that given snapshot. It only requires the code to be added to the footer of the site in order for Crazy Egg to begin receiving data.

Crazy Egg is broken into four categories: heat tool map, scroll map tool, overlay tool and a confetti tool.

While Crazy Egg shows which parts of a website’s page visitors click on, Google Analytics will tell a brand manager what links visitors click on. Crazy Egg shows clicks even if the user isn’t on the link. This is displayed as a heat map.  



Crazy Egg shows things that are not clickable. A brand can find that users are clicking on parts of the page that aren’t actually links (Walsh, 2013). This is a good opportunity to reevaluate what should be a link and where those links should be. For example, if a brand discovers that users are clicking on a product photo and nothing currently happens to that photo, he or she might consider making the photo have an action if clicked on. The photo could be magnified or readers could read more information about the product. The heat map tool can also reveal which parts of the page are getting the most attention. This is also very helpful when showing clients data even if they aren’t very experienced in web analytics.

By using confetti, a brand can segment visitors on the basis of keywords, location and referral source. Once a company knows where the most valuable click traffic is coming from, it has uncovered the exact traffic sources that bring high revenue with the least amount of effort.



When analyzing how far visitors scroll down on pages, Crazy Egg provides an easy-to-interpret heat map. It also shows which parts of the page get the most attention based on average viewing time. This tool helps identify which parts of the pages are most important to the visitors and at what point users abandon the page. This tool helps determine exactly where to add elements in order to hold a visitor’s interest longer.



Crazy Egg also differentiates between links to the same page, so a brand will know exactly which parts of a web page work and which don’t, helping analyze which links might be positioned well. This information is available in overlay.



Google Analytics, a product of Google, is a website statics service that generates traffic, conversion and advertising related data (Sharma, 2013). Webmasters commonly use Google Analytics in order to track visitors from different sources including search engines, social media platforms and referral sites.

Although Google Analytics is free to use until a site reaches over 10 million page views per month, Crazy Egg is a paid service with plans starting at $10/month (Walsh, 2013). Small business may very well decide just to use Google Analytics, solely to save on costs, although the use of Crazy Egg simultaneously may provide behavioral information valuable in enhancing a website’s usability.

While Google Analytics provides complete information about all quantitative metrics and dimensions, it does not assist in analyzing the performance of each element a brand’s website has unless a very experienced web analytics team is available. Generally, Google Analytics lacks in visual presentation when it comes to website analytics. Google Analytics also works by placing a JavaScript tag into the code of pages on a website. For websites with many pages, it may be difficult to successfully track every page. Some webmasters are worried that using Google Analytics might also effect page load speed, making its code location undesirable at times (Denyer, 2013).  Google Analytics is also known to update data in a 24-hour cycle, while Crazy Egg boasts of its real time data (Hunsucker, 2009). On the other hand, Google Analytics seems to have more sophisticated segmentation and reports than Crazy Egg.

However, Crazy Egg is much more effective for analyzing user behavior and click patterns. All of the observations and data collected from the tools helps in taking an informed decision about which parts of the website need improvement and which parts are actually bottlenecks in the conversion path. By having a completely different perspective on visitor interactions, Crazy Egg could work well in tandem with Google Analytics but might not be sufficient to replace Google Analytics in totality.


References

Denyer, T. (2013, January 05). Why I removed Google Analytics from my website. Retrieved February 15, 2015, from http://tristandenyer.com/why-i-removed-google-analytics-from-my-website/

Hunsucker, M. (2009, February 20).   Some like it hot Get real-time visual analytics for your site with Crazy Egg. Retrieved February 15, 2015, from http://feedgrowth.com/idea-categories/insights/get-real-time-visual-analytics-for-your-site-with-crazy-egg/

Sharma, A. (2013, December 04). Sorry Google Analytics but CrazyEgg and ClickTale are better! Retrieved February 15, 2015, from http://www.fatbit.com/fab/sorry-google-analytics-crazyegg-clicktale-better/

Walsh, D. (2013, April 22). Incredible Analytics with Crazy Egg. Retrieved February 15, 2015, from http://davidwalsh.name/crazyegg