Showing posts with label Web Metrics. Show all posts
Showing posts with label Web Metrics. Show all posts

Sunday, July 17, 2016

Relevance and Interdependencies of Web Analytics, Social and SEO

Introduction

Today’s consumer behaviors are changing quickly in the digital and online environment. As channel and device choices proliferate, it is more challenging than ever to understand their activities and interests. Analytic approaches from the past no longer provide the depth and breadth of relevant information marketers, brands and organizations need to address the increasing customer expectations and interaction points (LaLonde, 2013). Most marketing, e-commerce and service professionals have a fragmented understanding of their customers at best, so it is often difficult to extract insights or prioritize actions that will have the fastest and most effective impact on business results.
A holistic understanding of customers is the foundation for engaging them in relevant and rewarding ways, ultimately growing share of wallet and winning customer loyalty. Optimizing today’s online customer experiences requires both quantitative and qualitative digital analytic capabilities. To effectively understand what is taking place in the digital environment there also needs to be an operative blend of art and science in an effort to build strong engagement and comprehend what consumers want. For brands and marketers the ability to manage successful campaigns requires strong data analysis through both human and technological capabilities (IBM, 2014). It also involves a level of creative value added content and communications that a brand or organizations audience desires.  

Building Insight

Digital analytics, social engagement and search engine optimization can provide quantitative insight by capturing web site and mobile interaction data. These factors provide interfaces showing visitor activity including purchase funnels, real time sales data, website traffic flow and conversion metrics and targets. Achieving digital marketing goals can maximize customer use of features and layout that drive site visits, while high value website content deepens customer engagement (DeMers, 2014). Measuring and building upon these factors can be part of a healthy digital marketing strategy as the web, social and mobile continue to evolve.  
The term Big Data is used quite often in today’s business environment. It is loosely defined across business, marketing and technology sectors as “data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time” (Hamel, 2012). The concept of web analytics, social engagements and search engine optimization can theoretically be placed in this definition and as a result need to be collated in a manner that can be collectively interpreted by marketers brands and businesses to holistically exploit their relevance and interdependencies.

Principles of Web Metrics

A strong online presence can play a significant role in the success of an organization, product or brand through improved access to consumers and a better understanding of engagement, preferences and behaviors. The web is becoming more of a factor and more of a central element in the lives of people and consumers and measuring their engagement can provide a direct impact on an organization’s on line presence and success (LaLonde, 2013)
Web analytics tools provide organizations with data that delivers additional clarity around the results of web activity. Web analytics also assist marketers in understanding their efforts and the results of marketing activities and campaigns (Reed College, 2016). Among the many factors that play a role in the success of a business is increased exposure and better communication with potential and current customers. Web analytics give businesses insights on where and when customers and prospects participate and behave as they do on an organizations website. These factors often involve gathering quantitative data on website user activity and can provide detail on visitor flow and depth of engagement (Peterson, 2008).

Reporting and Interpreting Web Traffic

Effectively using website monitoring systems can produce analytical data which can yield a wide range of information. Simply knowing how much traffic a website is generating can provide tremendous insight on the health of a website and whether it is providing value to its customers and its target audience (PA, 2016). Uncovering other data such as historical web traffic information can create benchmarks that give organizations insight on how they are performing and which direction their website may be heading. Analytical systems can tell organizations which regions and geographies visitors are originating. This sort of data can often open up important new questions and possibilities for a business. For example could the organization appeal more to these geographies with more region specific content?
There are a number of effective tools available today to track and measure website user engagement and activity.  One of the most common web analytics packages is Google Analytics. This platform is popular because of its general ease of use, comprehensive features and it is also free to all users (Kaushik, 2010). There are also a number of other website analytics platforms available in the marketplace most of which are obtainable at a cost. For the majority of small to midsized organizations, the free tools available in the marketplace are often sufficient. Most of the web analytics packages available track users in a similar manner. This is primarily accomplished by placing a piece of tracking code on each page of your chosen website. This code enables the chosen analytics package to monitor and follow visitors as they enter the site, navigate through the pages and as they exits the website. In most cases placing the tracking code on the web pages is a simple task but in other cases the website owner may need assistance from a web developer or IT provider (Kaushik, 2010).
There is a multitude of meaningful factors which can be measured on a website. Before engaging in measuring deep metrics on a website, however it is important for a brand or organization to establish goals and objectives surrounding what they are looking to accomplish (Kaushik, 2010). Depending on the site website objectives, goal measurement can be set under a wide range of criteria in most web analytics systems. For example if the website is a blog factors such as time on site, returning visitors, and new visitors can all be meaningful goals for a site designed to attract readership.
For other sites designed to sell products and services typical e-commerce goals can include page views, time on site and of course measuring conversions and goal flow with a particularly critical eye on abandon rate (Jones, 2016). In building new users and engaging with existing users on a website, particularly a blogsite, it is generally a good idea to have relevant and attainable goals to consistently build followership. By establishing goals for a website or other digital property owners can track if users are doing on the website what marketers are expecting them to do (Kaushik, 2010).

Basic Website Metrics

Once an organization establishes its goals the metrics available in web analytics packages can be put to use to start measuring against those objectives. One of the basic metrics in understanding web site user behavior is the session. A session is the period of time a user is actively engaged with a website, app or other digital property. All usage data such as views, events, and e-commerce are associated with a session (Google, 2016). Another key metric in website analytics is the website user. These include all website visitors that have had at least one session within a selected date range. Users are often defined holistically and include both new and returning visitors.
The session and user metrics are critical to understanding the engagement visitors are executing on a website and can directly denote the health of a website and whether it is meeting its engagement objectives. These metrics can also delineate the number of total visitors by counting each visit to the website, even if the same person has returned more than once. Metrics surrounding users can also define unique visitors. This figure filters out repeat visits, as each person is only counted once (Google, 2016).
A pageview is triggered when any page is loaded by any visitor to a site. Pageviews are an important metric in understanding the popularity of specific pages. Inside the analytics systems pageviews are the total number of pages viewed and repeated views of a single page are included in this count as well (Oberoi, 2015). As website marketers begin to analyze pageview metrics they can develop an understanding of what users are looking for on their site as well as establish what pages may not be so popular and why. 
Other basic metrics in website analytics include pages per session or average page depth. This metrics is the average number of pages viewed during a session and also counts the number of repeated views in a single page. Average session duration is another key measure as it defines the length of time a user is spending on a site. This metric can provide a significant understanding of the depth of engagement website visitors are undertaking. Another basic metric is the bounce rate. This is the percentage of single-page visits in which the person left a website from the entrance page without interacting with any other pages (Google, 2016).
In the case of the blog site objectives and the quest to build followership there are generally multiple behaviors and pageview flow that website visitors could execute which help to create a better understanding of what visitors are looking to accomplish. From this perspective tracking how many people are executing specific actions, including understanding metrics such as referral source and measuring the page view flow provides both qualitative and quantitative factors that deliver valuable insight (Valk, 2014).

Goal Setting

Goal setting functionality in Google Analytics is designed to track a wide range of website objectives and conversions that might be considered by a website or digital property owner as a win or advancement of engagement with a site visitor. These can include micro conversions such as submitting a contact form for more information or signing up for a newsletter. These can also include primary conversion objectives such as making a purchase directly on an e-commerce platform. One of the easiest methods to set up goals is to create what is called a destination goal. This is a goal that will track every time a certain page on your site is reached. For example a “Thank You” page can be set up to populate once a user executes a micro or primary conversion activity (Google, 2016). Other simple conversion goals can include understanding factors such as average session time. As figure 1 illustrates the number of users per day who spent more than two minutes on the site is a measured goal. The depth of data also reveals the referral source and percent of two minute engagement by each source.


Figure 1 Google Analytics Conversion Goal (Session Time Greater than 2 minutes)



Web analytics tools provide organizations with data that delivers additional clarity around the results of web activity. Measuring website activity provides invaluable insight in understanding who is visiting your website, how they got there, what they did once they landed there and where they went afterward. Web analytics also assist marketers in understanding their efforts and the results of marketing activities and campaigns (Reed College, 2016). Measuring website activity gives marketers an understanding of what users like and do not like by analyzing the popularity of pages, the flow of page views visitors are executing, where site visitors might be bouncing out of a site and factors that might be preventing or hindering conversion, e-commerce or other goals a website marketer may have. These metrics also provide insight on improving site design and the user experience. With the help of website analytics, it is easier to find out how users interact with a website and gain insight on how to improve page design and functionality (Sharma, 2016).

Basic Principles of Search Engine Optimization

Search engine optimization (SEO) is the process of affecting the visibility of a website or a web page in a web search engine's unpaid results. SEO is often referred to as "natural," "organic," or "earned" results (Fleischner, 2016). SEO is a marketing discipline which is focused on improving visibility in organic non paid search engine results. SEO is also an art and a science in terms of combining technical activities with creative elements in an effort to improve a websites natural search engine results (Fishkin, 2016) Search Engine Optimization can be categorized into two major segments which include on page optimization and off page optimization.

On Page Optimization

One of the most important aspects to understand about on page optimization is website marketers are in control of the on page factors that can improve a websites position in search engine rankings. From a technical perspective this can include organizing the sites content, link structure, title and headings, Meta tags, images and keywords (Fleischner, 2016).
Keywords are a critical element in developing on page website optimization and often introduce the effectiveness of creativity. To identify effective keywords website marketers should develop a comprehensive selection method. Keyword research is often an effective method to identify and refine effective words and phrases for a website. Keyword research teaches marketers that one phrase or a very small group of related phrases can represent high volume, high relevancy for a websites primary keywords. One method many marketers use to identify and extract effective keywords is by utilizing the keyword planning functionality on the Google AdWords platform (Fleischner, 2016). Using this tool provides an understanding of high frequency, high value keywords and keyword phrases. It also helps identify the most valuable words and phrases to include in your website and how other competitors might be using them.
Other technical aspects of on page optimization include Meta tags. Meta tags are snippets of text that describe a page’s content. This text does not appear on the page itself, but only in the page’s code (Fleischner, 2016). Description Meta tags are important because search engines such as Google might use them as snippets from the websites pages. Titles are also a key component in on page optimization. Titles can identify the key themes surrounding the page and can appear as a highlighted title directly in search engine results (Google SEO, 2010).
Website content and format can also play a significant role in website on page optimization. Structuring a websites pages is an important component in how effective a search engine can crawl a website to find the relevant content that helps a website rise in search engine rankings. Effectively placing site navigation and other page framework enables search engines to more easily find relevant content (Fleischner, 2016).   Other factors such as sitemaps, an effective URL, image tags and internal linking all assist in helping search engines in indexing a website of its organic content to better identify its purpose and ranking it effectively.

Off Page Optimization

Off page optimization can be concisely defined as building and increasing a websites authority. Off page optimization provides a website with the opportunity to build its following and increasing its position in web search engine rankings. One of the major differences between on page and off page optimization is the control in which the site owner has over each. Off page optimization is manipulated to a much lesser degree by the site owner than their ability to influence on page optimization.  One of the keys to building off page optimization is building links to your website from other sites (Fleischner, 2016). Link building provides a website a key attribute search engines look for when calculating their rank algorithms.

Site Authority

Site authority focuses on websites that have established a substantial degree of trust and denotes expertise with search engines as a result of elements such as its age, quality, and size. Within this premise one of the primary success factors of off page optimization is building inbound links from sites that have as good or better website authority than your own (Fleischner, 2016). An authority site is a very high quality website that is respected by knowledgeable people in its industry. It is a website that has content on it that is of high quality and makes the site users almost grateful they found it (Google, 2016). Authority sites publish trustworthy information and link to other trustworthy places on the web. Their audience implicitly trusts them to share high quality links, which is why obtaining links from authority websites has positive influence on your website’s traffic.

The Future of SEO

Now that Facebook.com has overtaken Google.com as the most used website on the Internet, there are now questions surrounding the significance of whether search engine optimization will be relevant in the future (Ingram, 2015). As users become more immersed in their social channels the question centers on the use of social networks to find news, information and referrals and whether this use will serve to displace search engines as the primary source for digital news and information. As the dynamics continue to change and evolve in the digital environment marketers need to stay abreast of trends and phenomenon. Marketers also need to be nimble and open minded about strategies and objectives surrounding their digital properties and be willing to adjust when conditions change.

Social Channels in Marketing

The social media environment provides brands, businesses and organizations with an opportunity to engage with their customers, prospects and their target audience. Social media's potential for customer interaction and customer retention is also significant. Today's consumers are now engaging directly with brands and businesses openly on a multitude of social media channels. Customers and prospects are also consuming and sharing content, information and opinions in new and unprecedented ways. The traditional notion of consuming content directly on the creator’s website has morphed as social media and the ability of users to share and post content directly in the digital environment has been extended through social media platforms (Kaushik, 2011).
One of the factors to consider when operating in the social media environment is the rate of engagement and dialog a brand or business may expect and its relationship to the amount of generated posts and communications an organization may anticipate.  In social media both of these factors are important and a business can and should expect to be active in both (Brown, 2014). Along with these engagements social media marketing offers opportunity to improve search engine optimization through factors such as posts, comments, likes and shares. These interactions and engagements create an opportunity for search engines to pick up social signals surrounding a brand, product or website. These signals indicate chatter around an organization and that engagement is active (Zadro, 2015). Search engines incorporate these signals into their search algorithms and often reward websites, brands or businesses with improved search engine optimization and the ability to rise in the search rankings.
Along with the ability to improve search engine optimization brands and businesses can also take advantage of directly marketing on social platforms. For example Facebook presents a robust Pay-per-click marketing program. With a global audience over 1.5 billion monthly active users Facebook presents a massive audience opportunity (Chris, 2015). Users on social sites often provide information about their personal characteristics including age, geography, education and other demographic features. The platform also collects psychographic data through user posts, likes and shares. As a result this environment delivers massive data insight which provides a highly targeted platform in which marketers can deeply segment to reach their exact target audience. 
When an organization becomes active on social media it can provide a significant opportunity to establish brand identity and build a breadth and depth of awareness (Keller, 2011). Effective social media engagements build affinity, following and loyalty for a brand or product and acting effectively in this environment can be a significant part of a balanced marketing communication program.
The key to success however is understanding and harnessing the interdependencies of the most effective digital segments. Optimizing and leveraging web activity and analytics together with social media engagements and measurement along with building and maximizing search engine optimization can greatly assist marketers in gaining insight on the customer journey, improve the customer experience and deliver improved revenue and retention.



Works Cited
Brown, M. (2014, December). Which social media accounts really matter and why. Retrieved from Kissmetrics: https://blog.kissmetrics.com/which-social-accounts-matter/
Chris, A. (2015, September 15). Facebook ads vs Google Adwords – where do you spend your budget? Retrieved from Digital Marketing Pro: https://www.digitalmarketingpro.net/facebook-ads-vs-google-adwords-where-do-you-spend-your-budget-581/
DeMers, J. (2014, February 10). 2014 Is The Year Of Digital Marketing Analytics: What It Means For Your Company. Retrieved from Forbes: http://www.forbes.com/sites/jaysondemers/2014/02/10/2014-is-the-year-of-digital-marketing-analytics-what-it-means-for-your-company/#1044a40f6619
Fishkin, R. (2016). Beginners Guide to SEO. Retrieved from Moz: https://moz.com/beginners-guide-to-seo
Fleischner, M. H. (2016). SEO made simple. Middletown: Simple Solution Media.
Google. (2016). Destination goal examples. Retrieved from Google Analytics: https://support.google.com/analytics/answer/1116091?hl=en
Google. (2016). Finding Credible Sources. Retrieved from Google: https://sites.google.com/site/evaluatingsourcecredibility/for-students/what-makes-a-source-credible/authority
Google. (2016). Use Goal Flow to perform funnel analysis. Retrieved from Google Analytics: https://support.google.com/analytics/answer/1686005?hl=en#analysis_1_track_traffic_to_your_goal
Google SEO. (2010). Google Search Engine Optimization Starter Guide. Retrieved July 6, 2015, from Google: http://static.googleusercontent.com/media/www.google.com/en/us/webmasters/docs/search-engine-optimization-starter-guide.pdf
Hamel, S. (2012, June 12). Big Data – What It Means For The Digital Analyst. Retrieved from Online - Behavior: http://online-behavior.com/analytics/big-data
IBM. (2014, October). Five tips for success withcustomer analytics. Somers, NY, USA.
Ingram, M. (2015, August 18). Facebook has taken over from Google as a traffic source for news. Retrieved from Fortune: http://fortune.com/2015/08/18/facebook-google/
James, K. (2015, October 30). My story: how facebook advertising performed vs. google adwords. Retrieved from Moz: https://moz.com/ugc/my-story-how-facebook-advertising-performed-vs-google-adwords
Jones, M. (2016, July 1). Using Google Analytics to Identify Conversion Weaknesses. Retrieved from Practical Ecommerce: http://www.practicalecommerce.com/articles/124808-Using-Google-Analytics-to-Identify-Conversion-Weaknesses
Kaushik, A. (2010, April ). Web analytics 101: definitions: goals, metrics, KPIs, dimensions, targets. Retrieved from Occam's Razor: http://www.kaushik.net/avinash/web-analytics-101-definitions-goals-metrics-kpis-dimensions-targets/
Kaushik, A. (2010). Web analytics 2.0. Indianapolis: Wiley.
Kaushik, A. (2011). Best social media metrics: conversation, amplification, applause, economic value. Retrieved from Occam's Razor: http://www.kaushik.net/avinash/best-social-media-metrics-conversation-amplification-applause-economic-value/
LaLonde, M. (2013, March 26). How Web Analytics Can Help Your Business. Retrieved from Compukol Communications: http://www.compukol.com/how-web-analytics-can-help-your-business/
Oberoi, A. (2015, August 2). The Top 31 Best Web Analytics Tools | Google Analytics Alternative. Retrieved from AdPushup: http://www.adpushup.com/blog/web-analytics-tools-google-analytics-alternatives/
PA. (2016). Why are web analytics so important to marketers and businesses alike. Retrieved from Professional Academy: http://www.professionalacademy.com/blogs-and-advice/why-are-web-analytics-so-important-to-marketers-and-businesses-alike-
Peterson, E. T. (2008). The voice of customer:qualitative data as a critical input to web site optimization. Retrieved from Hashdoc: https://www.hashdoc.com/documents/9021/the-voice-of-customer-qualitative-data-as-a-critical-input-to-web-site-optimization
Reed College. (2016). Week 2 lesson: tool introduction & selection. Retrieved from West Virginia University: https://ecampus.wvu.edu/webapps/blackboard/execute/displayLearningUnit?course_id=_64077_1&content_id=_2976592_1&framesetWrapped=true
Reed College. (2016). Week 3 lesson: social media analytics & advertising channels. Retrieved from West Virginia University: https://ecampus.wvu.edu/webapps/blackboard/execute/displayLearningUnit?course_id=_64077_1&content_id=_2976594_1&framesetWrapped=true
Sharma, A. (2016, February). The Difference Between Social and Web Analytics. Retrieved from Login Radius: https://blog.loginradius.com/2014/09/difference-social-web-analytics/
Sklar, C. (2013, March 13). How to use social media to understand and engage your customers. Retrieved from The Guardian: http://www.theguardian.com/media-network/media-network-blog/2013/mar/13/social-media-customer-engagement
Trabelsi, C. (2015, May 15). Facebook ads vs Google adwords – the Facebook targeting advantage. Retrieved from The Daily Egg: https://blog.crazyegg.com/2014/05/15/facebook-ads/
Valk, J. d. (2014, February 12). Perfecting your goals in Google Analytics. Retrieved from Yoast: https://yoast.com/setting-google-analytics-goals/
Zadro, D. (2015, September 6). How Social Signals Affect Your SEO. Retrieved from Search Engine Journal: https://www.searchenginejournal.com/social-signals-affect-seo/135956/



Saturday, June 18, 2016

Why Integrating Google Analytics in your CRM System Makes Sense

            In the last several years it has become clear customers have gained significant power when it comes to relationships with businesses and organizations. With a constant connection to the internet and their social networks, today’s customers are better informed, smarter, give feedback that can go viral and are therefore more empowered than ever before (Meisner, 2013). Caring for existing customers is a key component to enhancing the customer relation and minimizing client churn can negate the costs of acquiring new customers which can be five times greater than the cost of maintaining current clients.
           Approaching consumers and the public from this perspective is a key factor today for organizations to be truly successful. From this perspective developing an effective Customer Relationship Management (CRM) system is a relevant and comprehensive method not only to successfully engage these consumers, but the public and the marketplace in general. From this viewpoint collecting actionable data from customers and prospects as they engage with your business can be an effective strategy in enhancing the customer journey.

Customer relationship management has become a major force of many enterprises in managing interaction and relationships with organizations clients.  Today many companies are realizing CRM provides the tools to fit the customer relationship needs of an organization. Customer Relationship Management is not just a software program that automates and reports, it is a business strategy to acquire, grow and retain profitable customer relationships, with the goal of creating a sustainable competitive advantage (Microsoft Corporation, 2012). The customer relationship management business strategy helps organizations improve their image, differentiate from the competition, helps minimize price sensitivity and can significantly improve customer retention.
          
           A Customer Relationship Management systems inherent functionality is to gain enhanced customer visibility across all product families, thereby creating the ability to streamline sales tasks and engagement processes. The target state for the Customer Relationship Management system is to utilize all of the customer touch points with Microsoft Dynamics CRM (or your preferred CRM system) at the center of how and where you can track and align client preferences (Ahuja & Alavi, 2014). Web engagements, Social Media, Customer Service, Marketing Campaigns, Email, and other data all roll up to the individual client to signify their preferences and their needs.




Today more than ever, analytic data from web and other owned digital properties is a significant and valuable tool organizations need to use to enhance sound customer engagement strategies. Integrating web analytics data into a Customer Relationship Management system accelerates and augments that strategy by providing deeper insights into the customer journey.

Power Analytics

Power Analytics is a plugin application for Microsoft Dynamics CRM. The software connects Google Analytics to the CRM platform and allows the integration of web analytics data between Microsoft Dynamics CRM 2013/2015 and the Google Analytics Platform. Marketers using this application can track over time movements and clicks customers and prospects are executing on an organizations website and other digital properties (SBS, 2015).

By incorporating Google Analytics into the data available in an active Customer Relationship Management system marketers can improve the effectiveness of an organizations web and mobile presence. The integration can also enhance the ability to track and understand the behavior of online visitors and how they interact with digital properties including website and mobile applications (Ezzedin, 2014). Power Analytics enables marketers to track campaign activity of individual customers and prospects as they navigate owned digital media properties, which enables the ability to better understand the customer experience and allows the opportunity to deliver a more customized experience.

Pulling a website visitor’s source information can be very powerful for a sales team. For example, if a sales representative has the ability to identify how a sales lead found the website before picking up the phone and contacting them, it could significantly aide in how best to approach the lead on the call. Understanding whether the source was referred from a specific email with a certain offer or knowing if they came from a search and, if so, what was the keyword they used. This type of information can help a sales team understand the intent of the prospect and where they are in the buying process. Another example can center on existing customers when an organization uses a newsletter as part of its marketing communications strategy, as customer are placed in a marketing campaign to receive this newsletter. As the recipient engages with the content the analytics system can record the activities, preferences and interests of the customer (Ezzedin, 2014). This data can be further enhanced by gearing future content that is focused more on those preferences.

The web analytics data collected can also be also be aggregated with other digital metrics including activities from social engagements through YouTube, Facebook, Twitter, LinkedIn and other social media sites to provide the marketer with even deeper profiling capabilities. When online visitors convert to leads, marketers use the Customer Relationship Management platform, to track the history of prospects and customers offline and online interactions as well. Tracking every conversation possible including other engagements such as emails, calls, meetings, cases and documentations as well as nurture campaigns assists in the continuation of data building at the customer and contact level (Cutroni, 2007).

In the increasingly competitive marketplace organizations have demonstrated clear benefits of focusing on the customer through quality and excellent service. Utilizing a Customer Relationship Management system and enhancing it with web analytics can help nurture and care for existing customers and assist in minimizing client churn. Enhanced web analytics can also provide significant opportunity in new customer acquisition streamlining the sales lead process and creating an improved customer experience. This essentially quantifies how starting with the customer involves collecting and analyzing information to determine who the customer is, what the customer needs, and how a business can meet then exceed those needs. The logical conclusion clearly postulates the Customer Relationship Management technology with enhanced web analytics can provide the platform to accomplish the customer relationship management goals of the organization.               










Works Cited

Ahuja, V., & Alavi, S. (2014). Digital Marketing Analytics: The Web Dynamics of Inside Blackberry Blog. International Journal of Innovation in the Digital Economy (IJIDE) v5 n4, 50-65.
Cutroni, J. (2007, October 29). Integrating Google Analytics With a CRM. Retrieved from Cutroni: http://cutroni.com/blog/2007/10/29/integrating-google-analytics-with-a-crm/
Ezzedin, A. (2014, October 14). The Ultimate Guide to Universal Analytics Integration with SalesForce. Retrieved from e-nor: https://www.e-nor.com/blog/google-analytics/the-ultimate-guide-to-universal-analytics-integration-with-salesforce
Meisner, J. (2013, November 5). The future of business in the era of the customer. Retrieved August 23, 2015, from Microsoft Blog: http://blogs.microsoft.com/blog/2013/11/05/the-future-of-business-in-the-era-of-the-customer/
Microsoft Corporation . (2012). What can CRM do for your Business . Retrieved November 10, 2012, from Microsoft.com: http://www.microsoft.com/canada/smallbiz/themes/build-your-business/what-can-crm-do-for-your-business.mspx
SBS. (2015). Google analytics connector for microsoft dynamics crm. Retrieved from Poweraddon: http://www.poweraddon.com/google-analytics-connector/?utm_campaign=app_listing&utm_medium=referral&utm_source=ga_partner_gallery




Saturday, June 11, 2016

Comparing IBM Digital Analytics with Google Analytics

In 2010, IBM acquired the website analytics software system Coremetrics. At the time of the purchase Coremetrics was a direct competitor to Google Analytics and offered enhanced features beyond web analytics such as impression monitoring outside of the site. Coremetrics at that time was also at the forefront of pioneering industry class benchmarking for web analytics metrics (WAR, 2011).

IBM has since re-branded the platform to IBM Digital Analytics as part of its IBM Marketing Optimization Solution. This platform is now an enterprise level digital marketing tool which is generally designed for larger organizations with larger marketing analytics budgets who engage multiple digital platforms. IBM Digital Analytics primarily competes with other digital analytics solutions like Adobe Omniture, WebTrends as well as Google Analytics, among others (Ciotti, 2014).



Much like Google Analytics, IBM Digital Analytics  is a cloud based platform which enables easy integration with other digital marketing optimization platforms. One of IBM’s objectives with this product is to construct the capability to enhance engagement with other marketing segments such as ecommerce through its Websphere program, and cross channel marketing campaign management managed through IBM’s Interact software. Right now IBM’s digital programs include a wide array of plugin platforms and API reporting capability (IBM, 2016). These additional tools enable IBM Digital Analytics to cover a broader spectrum of digital customer relationship management capabilities and presents additional analytic options than the Google Analytics platform currently offers.  

While Google Analytics is a great tool for understanding how users are engaging with a site, many organizations today are looking for an integrated solution in terms of data, and engagement tracking beyond website analytics. For many the goal is to create a view of the customer experience and journey, and intuitive reporting capabilities which marketers and business leaders can act upon quickly (Miltimore, 2016). Through IBM Digital Analytics the organization is looking to meet that need and create a customizable turnkey solution which creates actionable insights for its clients. It accomplishes this by integrating the ability to not only track and store information about website visitors over an extended period of time it can deliver the ability to track activity beyond the website. For example if an organization sends out an email to a prospect, it tracks the response even if the prospect searches and purchases a product from a competitor it can track that as well.

The Google Analytics free program offers robust website analytics reporting. In contrast to bring on the IBM Digital Analytics platform there is a cost for the product and as it is built out and customized it can become an expensive solution. Google Analytics is a great platform, particularly since it is free, to improve organizations knowledge, skills and abilities surrounding website analytics. As organizations evolve their acumen and capability in using Google Analytics it can greatly assist in helping a business develop its goals and objectives as it evolves its capabilities. In other words since Google Analytics is a free service, it is a great place to learn before making a pricey investment in a product such as IBM’s Digital Analytics.  

IBM Digital Analytics is a strong offering for retail ecommerce businesses. The native functionality includes metrics available around product views, items added and abandoned, as well as the ability to remarket to the individual user based on that information (Runyon, 2014). From this perspective the IBM Digital Analytics tool offers more functionality than the standard Google Analytics package. However when you couple programs such as Google AdWords and Google AdSense, the Google Analytics package does then present some of the same metric and tracking functionality.

Reporting

Some of the reporting functionality in IBM Digital Analytics is slightly limited. For example historical segmentation can only be run for the last 93 days. To gain deeper analysis reports have to be run in a secondary system. Comparatively Google Analytics reporting is highly customizable and can generate data for historical reports dating back to 2005.
In the IBM Digital Analytics Platform certain reports cannot have segments applied. This makes answering some simple questions more difficult. The IBM system is also limited in some aspects of inverse reporting.  For example the systems allow the creation of a segment around mobile devices and applying it to a marketing channel report. However the system cannot create a marketing channel segment and apply it to the mobile reports (Runyon, 2014). While Google Analytics does not match all objects in all reporting features it does allow deep inverse reporting in many instances (Ciotti, 2014).

Customizations

The IBM Digital Analytics platform helps users determine how to share credit for conversions among multiple touchpoints by choosing from a variety of standard and custom designation models. In the conversion arena Google Analytics offers similar functionality, for example both deliver the capability of evaluating individual channels as well as the combined effect of multiple marketing touchpoints. Each system also provides users the option to assign different values to each attribution segment.
For example in Google Analytics a linear model can be set up in both systems to track a conversion journey and enables the ability to assign credit values to custom segments. In the linear model the second example provides additional credit to paid advertising.

Conversion Tracking 
Google Analytics Multiple Marketing Touchpoints



The IBM Digital Analytics platform offers similar features in the option to create custom conversion models. In this example the program enables the user to customize conversion tracking by setting up ad hoc goals. This tracking is set up specifically for iPhone users who place an order on the organizations website (IBM, 2016).

Conversion Tracking
IBM Digital Analytics Custom Segmentation


The IBM Digital Analytics platform appears to be more comparative to a combination of Google AdWords, Google AdSense and Google Analytics when it is bundled as one platform. From a pure web analytics reporting compared to the IBM system, Google Analytics generally appears to be not as strong out of the box. This consists of areas such as depth of product reporting including metrics such as product views, and abandoned carts (Miltimore, 2016).  With some customization however Google Analytics can generate the same end results achieved through custom variables, but that does require custom coding.  In other areas Google Analytics does enable a reporting API, it is however not nearly as streamlined as IBM's (Runyon, 2014).























Works Cited

Ciotti, G. (2014). The Top 10 Best Web Analytic Tools. Retrieved from Sparring Mind: http://www.sparringmind.com/best-web-analytics/
IBM. (2016). IBM Digital Analytics. Retrieved from IBM: http://www-03.ibm.com/software/products/en/digital-analytics
IBM. (2016). IBM digital analytics features. Retrieved from IBM: http://www-03.ibm.com/software/products/en/digital-analytics
Miltimore, J. (2016, February 16). Review: "Google Analytics: the perfect tool For understanding how users engage your site". Retrieved from Trust Radius: https://www.trustradius.com/reviews/google-analytics-2016-02-16-11-16-38
Runyon, J. (2014, May 22). "IBM Digital Analytics Review". Retrieved from Trust Radius: https://www.trustradius.com/reviews/ibm-digital-analytics-2014-05-21-11-38-15
WAR. (2011). Coremetrics 2010 review. Retrieved from Web Analytics Review: http://web-analytics-review.toptenreviews.com/coremetrics-review.html



Saturday, May 21, 2016

What is “Unique” about Foundational Measures in Web Analytics?



In developing sound concepts surrounding website performance an organization must have an effective understanding and working knowledge that is focused on the primary metrics needed to measure website activity (Reed College, 2016).  A solid foundational competence provides opportunity for increased success and helps marketers strategically gather online information to measure traffic, engagement and potential impact on ROI. Measuring how visitors interact with a website, how they consume content, engage and navigate your website is the means in which you gain insight on ways to refine and improve the user experience. 

Understanding website metrics and how consumers are navigating their way through a website aids marketers and organizations in making continuous improvement. As websites user interface and content are improved it delivers opportunity to provide an increased level of visitor satisfaction, deeper engagement, improved conversion rates and ultimately a higher profit margin (Teixeira, 2011).



                                                             (Jellyfish, 2016)

Developing a solid understanding of these concepts includes a deep comprehension around the exclusive terms, measures and actions web analytics programs utilize in gauging website performance. Terms such as page views, visits and sessions along with events and unique visitors form the foundation in assessing and quantifying website performance (Kaushik, 2010). Understanding the differences in these terms and the significance of their function is critical.

The Unique Visitor

One of the key foundational measures of website performance is the unique visitor.  The term unique visitor is essentially the “Number of inferred individual people within a designated reporting timeframe, with activity consisting of one or more visits to a site”. The key metric here is each individual is counted only once in the unique visitor measure for the reporting period (WAS, 2006). While a unique visitor may return to a site multiple times during a given reporting period the unique visitor metric helps marketers and organizations understand whether the number of actual users of a website are growing or declining. 

The Not So Unique Visitor

One of the evolving realities in today’s digital market place is the propensity for consumers to use more than one device or multiple browsers to access a website. For example an individual navigating to your digital property may access a site in the morning using a mobile smartphone. This same user may access the same website later in the day while using a desktop computer during work hours. While the same person has accessed the same website two times in the same day, there is a high likelihood the web analytics system most organizations employ to measure website usage will likely count this user twice creating two unique visits when in reality there is just one visitor. To further complicate this scenario this same user may make use of different web browsers located on their desktop computer further increasing the propensity for a web analytics system to overestimate the number of unique users accessing a website. Finally this same user at the end of the day may access the same website again but this time through a mobile tablet device unit again providing the opportunity to overestimate the number of unique visitors.  


Generally, the most common reasons above will affect the unique visitor count again further inflating the number of distinctive users visiting a given site. (Mason, 2010). What is important is that marketers need to be aware of these scenarios in an effort to quantify the true number of audience members they have for their website. 




                                                                  (Chaffey, 2016)

Why Unique Visitors Matter

The unique visitor metric gives organizations and marketers a sense of the size their audience. The relative significance of the unique visitor metric rests on the purpose of the website and what the site is ultimately looking to accomplish. If you are a brand, you may want to maximize the number of people that come to your site, with little regard for how many pages they access, as long as they follow chosen path through the site and perhaps ultimately execute a desired outcome such as make a purchase (Valela, 2016). If a site is a focused on publishing and creating content, the focus may be on depth of engagement and loyalty by clicking deep into the site and generating page views. Ultimately the unique visitor metric can be an important denominator when making usage calculations for a website. For example the number of events or sessions per unique visitor can provide marketers significant insight on the frequency an individual uses website and by which channel they arrive. Studying the unique visitors is a good way to look at users and user behavior instead of just looking at one particular visit or other visitor associated metrics.

The unique visitor is a foundational metric in a websites performance and one of the primary tools you need to benchmark activity need to measure success. Since every session is not always an opportunity to get a customer to hit submit, order or execute a conversion in some manner, the unique visitor provides insight on how much interaction website visitors need before they may execute a desired outcome.











Works Cited

Chaffey, D. (2016, April 27). Mobile marketing statistics compilation. Retrieved from Smart Insights: http://www.smartinsights.com/mobile-marketing/mobile-marketing-analytics/mobile-marketing-statistics/
Jellyfish. (2016). Analytics insights training course. Retrieved from Jellyfish: http://www.jellyfish.co.uk/digital-marketing-courses/analytics-insights/
Kaushik, A. (2010). Web analytics 2.0. Indianapolis: Wiley.
Mason, N. (2010, May 2010). Analytics basics: unique visitors, new vs. returning visitors. Retrieved from Click Z: https://www.clickz.com/clickz/column/1703608/analytics-basics-unique-visitors-new-vs-returning-visitors
Reed College. (2016). Week 1 lesson: intro to web analytics and the basics of web analytics. Retrieved from West Virginia University: https://ecampus.wvu.edu/webapps/blackboard/execute/displayLearningUnit?course_id=_64077_1&content_id=_2976590_1&framesetWrapped=true
Teixeira, J. (2011, May 25). Entrances, bounces, and exits – what does it all mean? Retrieved from http://www.morevisibility.com/blogs/analytics/entrances-bounces-and-exits-what-does-it-all-mean.html
Valela, A. (2016, March 31). What’s more important: page views or unique visitors? Retrieved from Agility: http://blog.agilitycms.com/content-managers/what-s-more-important-page-views-or-unique-visitors
WAS. (2006). Web analytics “big three” definitions. Retrieved from Web Analytics Association: http://www.digitalanalyticsassociation.org/Files/PDF_standards/WebAnalyticsDefinitionsBig3.pdf