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Opteq International, a specialized developer of network management solutions, was in need of a real-time dashboarding product that could be easily integrated with their system, Opteq iQ. Opteq iQ is a standalone eServer or Appliance product with a Unix based server operating system and functional modules individually licensed. The company was looking for a solution that could provide true visibility of network traffic and the ability to manage it. They wanted a product that could convert monotonous data into exciting visuals, thereby enhancing the user experience.

Enterprise Software Solutions' BI Companion targets the Business Intelligence market, specifically focusing on ad-hoc drag-and-drop data analysis and report creation. The product fills the niche of creating reports over large amounts of data using multi-dimensional cubes, while providing a user-friendly non-technical interface and an extremely fast response time. However, due to the nature of the tool, some reports may generate a lot of data that is difficult to analyze and comprehend. Visualizing this data using charts and maps helps the end user with his/her analysis.

Spider Strategies' Corporate Management Suite (CMS) is a tool that allows large organizations to track key metrics, add corrective actions, and manage overall business strategy. The company needed a way to visualize data in the software, which was a critical requirement. They spent several days searching the web for different charting components they could use in their software.

SolarWorld, a manufacturer of solar power equipment, introduced the Suntrol system in 2010. This digital system automatically logs the performance of its solar modules using on-board firmware. One of the components of the Suntrol system is the Suntrol Portal, which allows owners of SolarWorld systems to analyze the output of their solar modules. The portal can be accessed through an iTunes app for iPad, iPhone, and iPod Touch. The Suntrol Portal allows users to analyze power output over varying time spans – from hours to months and even years. Hence, charting was absolutely necessary for them. Before obtaining FusionCharts, SolarWorld had used an open-source charting solution that rendered charts in the form of bitmaps. However, the company soon hit the ceiling with the non-interactive bitmap charts.

DeskAway is a web-based tool developed by Synage, a Mumbai-based startup, that enables teams to work collaboratively from anywhere in the world. It aims to solve common issues associated with collaborative working such as multiple file versions, lost files, and accountability issues. However, users of DeskAway wanted a visual representation of how their projects and tasks are shaping up. In order to develop this representation, the developers required an interactive charting component with support for Gantt chart. The challenge was to find a suitable charting component that could effectively portray project information and be compatible with their software.

SysAid is a developer and provider of management software solutions for the internal Help Desk and external Customer Service desk. It continually strives to simplify the dynamic challenges that service professionals face daily, by offering uncompromising performance and the latest in state-of-the-art software technology. SysAid's management tools are currently deployed in over 50,000 organizations and multiple industries across the globe. SysAid has a manager dashboard that brings together a visual realtime view of the state of the IT affairs in an organization. However, they needed a solution to make this data more visually appealing and interactive.

Practo, a web-based practice management software developed by Naabo, is used by healthcare clinics across India to manage their daily operations such as appointments, case histories, treatment records, and financial data. The software is currently used by over 500 doctors managing over 500,000 records daily. As an all-inclusive software solution for small healthcare units, Practo includes an inbuilt analytics module to help users analyze important financial and operational data. However, the company needed a way to present this data in a visually appealing and efficient manner.

360Cellutions, a leading provider of high-end solutions for the telecom industry, was looking to enhance its flagship offering, SYS-See Your Stats. This product is a KPI and Statistical analysis tool for cellular networks, designed to assist RF optimization engineers in their daily network improvement tasks. The company wanted to ensure that the product not only delivered faster results but also provided better, more insightful analysis. To achieve this, they needed a solution that could add value to the analysis while also offering speed and aesthetic appeal.

Greenway Medical Technologies, a provider of integrated EHR, interoperability solutions, and on-demand services for healthcare institutions, needed a way to visually represent lab results and clinical data. Their flagship application, PrimeSuite, integrates all clinical, financial, and administrative workflows into a single database to promote information sharing and ensure quick adoption. However, they needed a solution that could convert the monotonous data into exciting visuals, making it easier for users to analyze the data and quickly recognize any trends.

Rasmussen College, a private, career-focused college with 24 campuses across six states and online, wanted to understand the importance of tuition costs to prospective students and if that information was a factor in their higher education selection process. They had created a tuition cost estimator for prospective students to use on their site, but there was no way to track engagement. This lack of knowledge regarding a prospective student’s use of the tuition estimator tool limited the ability of Rasmussen College to accurately position the value of an investment in a college education. They wanted to increase new student enrollment inquiries, determine price sensitivity across schools of study, and increase task completion for prospective students seeking tuition information.

Gerber Life Insurance, a subsidiary of Nestlé, wanted to gain better insight into the relative performance of different marketing channels throughout the customer journey. They understood the last-click attribution of display in policy generation, but they wanted to better understand the overall role display played in the conversion funnel for all marketing channels. They also knew that potential customers who were viewing their ads were likely visiting the website on direct, organic or paid search channels. However, they didn’t have a way to explicitly see and measure such use cases. Because of that inability to measure the post-view impact of display on other channels, they were unable to measure their investment in that channel in an informed manner.

Sellpoints, an expert in online selling, wanted to help one of its global clients make informed marketing decisions and drive performance improvements. The agency aimed to obtain a more accurate understanding of users’ paths to conversion. They realized that attributing all the credit for a sale to the final click along the conversion path doesn't provide a true reflection of reality. Conversion paths are complicated; a user may begin with a search using generic terms, see and click on a display ad, perform another search later using narrower branded keywords, click on a paid search ad and eventually convert after a wide variety of online actions. A last-click analysis ignores all of these actions except the final one.

AccuWeather, the world’s largest weather media company, was facing a challenge in tracking the effectiveness of its various customer touchpoints. The company provides real-time weather information through its website, mobile apps, and custom email services. However, it was struggling to collect data from each of these touchpoints for a comprehensive analysis. The company wanted to evaluate how many of its weather forecast email alerts were being opened and attribute credit to campaigns that drove users to app store pages. Additionally, some users were interacting with AccuWeather’s content on devices that did not support JavaScript, requiring a different solution. The team wanted to collect this new data without compromising the company’s fast and simple user experience.

AccuWeather, a company that provides real-time weather news and information to more than a billion people worldwide, wanted to provide additional value to advertisers and boost ad revenue on its website. The team wanted to better understand the weather needs of visitors so that they could match them with more specific and relevant messages from ad partners. However, before linking their DoubleClick for Publishers (DFP) account with Google Analytics 360, AccuWeather couldn’t easily see the intersection of this data or how the behavior of various website visitors affected its revenue.

Air Show Buzz (ASB) is a media company dedicated to the 'Aerotainment' or entertainment and news in the aviation and air show industry. They needed to measure video views, online sales, the usage of a downloaded application, and the impact of social media. They also wanted to correlate offline events and activities to mobile website usage and branded merchandise sales. However, with their existing implementation of Coremetrics, ASB was unable to meet their measurement needs. None of this was included in their Coremetrics data, and cost was a prohibitive factor to development as Coremetrics incurs fees for using the platform, and incremental fees based on the number of page views served. This expense limited ASB’s investment in talent to interpret reports or to implement customizations needed to capture data for decision making.

Amari Hotels, a member of the Onyx Hospitality Group, was seeking to gain a better understanding of how its different digital marketing channels interacted with each other to influence sales. The company was particularly interested in understanding how their email marketing campaigns influenced sales further down the line and how a visitor's interaction with their organic search results would affect their interaction with paid search ads in the future. The company was struggling to find answers to these questions, which were crucial for managing their digital channels effectively.

Ariat, a leading equestrian footwear and apparel brand in the United States, was looking to optimize the performance of its digital marketing channels, increase the effectiveness of its homepage promotions, measure the impact of interactive website features, and understand the value of all conversions, beyond just e-commerce orders. In 2010, Ariat invested heavily in digital by creating a powerful new website. To justify the cost and report a return on investment, the new website required a comprehensive web analytics and reporting program. Beyond just evaluating key performance indicators (KPIs) for e-commerce, such as revenue and conversion rate, Ariat needed to measure the effectiveness of their new merchandising and promotional features, and also the effectiveness of various digital marketing channels.

Brian Gavin Diamonds, a Texas-based jeweler specializing in custom engagement rings and known for its signature line of cut “hearts and arrows” diamonds, wanted to get a full picture of its customers’ behavior across the purchasing funnel. The company's main customers are couples ages 18 to 45 who are shopping for engagement rings. Its ecommerce site is responsible for 95% of its sales, and international clients make up 20% of the company’s business. While planning its redesign, Brian Gavin Diamonds wanted to better understand how the customer service it provided over the phone influenced customers’ decisions to purchase, with the goal of driving additional online conversions. At the same time, the company also wanted to know how customers were navigating its e-commerce site and, most importantly, if they decided to make a purchase—or not.

BuildDirect, a virtual organization operating in over 100 countries, was experiencing rapid growth and was eager to improve the efficiency of its online spending. The company had a good marketing mix that combined search advertising, email newsletters, and online customer signups. However, the challenge was to improve performance by discovering which tactics worked and which didn’t. With a marketing budget that approached $1 million per quarter in the first years of operation, it was crucial for BuildDirect to optimize its spending. The company turned to Google Analytics (GA) to replace an existing analytics package, hoping to see immediate benefits.

Certain Affinity, a game developer based in Austin, Texas, was working on their first mobile title, Age of Booty: Tactics. They wanted to leverage analytics to inform game design and optimize monetization. The goal was to quantify and improve overall retention, monetization, and virality of the game. They also wanted to provide a timely cadence of analytics-driven feedback to influence development and live team. However, they were frequently frustrated by the cost, size, and limited flexibility offered by many analytics solutions.

Fairmont Hotels & Resorts, a luxury hotel company with more than 60 distinctive hotels and resorts worldwide, was looking to optimize its social media marketing efforts. The company uses Twitter to increase awareness of offers and drive traffic to sites within their portfolio. However, they faced a challenge in accurately identifying and tracking website traffic generated by their tweets. This was due to the fact that a significant proportion of Twitter traffic doesn’t originate from twitter.com; many Twitter users don’t use the web interface, instead employing one of the many desktop clients or mobile apps available. In addition, a link that’s been posted on Twitter might be forwarded via email or SMS. In all these cases, any traffic which in theory should be attributed to Twitter activities would be reported as direct or other referral traffic.

Gilt Groupe, a private shopping site based in New York City, aimed to capture more detailed information at the user level, obtain detailed data for every customer visit and touch point, connect website data to data warehouse, drive more qualified traffic to the website and improve ROI, and cross-reference user purchase behavior with demographic data. The company had implemented Google Analytics in 2011, replacing a previous solution. However, Gilt was subsequently attracted to Google Analytics Premium to access unsampled data and capture more detailed information at the user level in order to make decisions on statistically sound data. The company wanted to examine a wider variety of key metrics in order to gain a more holistic view of customers.

HomeAway, an online vacation rental marketplace, wanted to better understand the impact of paid search (both generic and brand) and display on conversion likelihood. Their goal was to drive site visits that convert to inquiries on the properties listed on their website. However, traditional Last Click models did not provide the full picture of the customer journey and the impact of different marketing channels. Therefore, they needed a more comprehensive approach to attribution modeling, which assigns credit to different consumer interactions that take place prior to a sale or lead.

InsureandGo, the UK's largest travel insurance specialist, was looking to gain a holistic view of the customer journey and understand the consumer decision-making process. The company wanted to apply these insights to optimize their website. They had been using Google Analytics for several years to gain insight into site conversion rates, funnels, customer behavior, and page optimizations. However, they wanted to increase their emphasis on comprehending the full customer journey. They wanted to understand the decision-making process in each area of the business, see what the different conversion rates are, and decide which products to display and where.

Klarna, one of the biggest providers in Europe of in-store credit and invoice-based payment solutions for the ecommerce sector, was facing a challenge with tracking customer interactions on their platform. The company's checkout solution was hosted on an iframe located on the merchant's domain, but the actual iframe contents were hosted on Klarna's own domain. This posed a problem as browsers such as Safari on iPhone and iPad, and later generation desktop browsers such as Internet Explorer 10 prevent third-party cookies by default. Many analytics solutions rely on the use of cookies, and Klarna was losing nearly all iPhone visits and many desktop visits due to this issue.

LaTienda, an award-winning, family-owned business supporting artisanal firms in Spain, was looking for opportunities to grow sales. They had been seeing great success with their online orders, but they wanted to understand the impact on sales of varying shipping rates for a subset of products. They knew that a key product category required more expensive shipping methods if it was too far from LaTienda’s Virginia warehouse. They grouped visitors into two regions: Region A visitors were close enough to the warehouse to always get reasonable shipping costs. Region B visitors were everywhere else, and had to use a more expensive shipping method for the key product category.

Ligne-en-ligne.com, a leader in the French diet and well-being market, relied heavily on its affiliates network to attract new members. However, the team identified a potentially threatening dependence as a large part of the subscriptions came from affiliates, accounting for the largest part of marketing expenses. The team wanted to understand the behavior of customers coming from affiliates, the primary sales driver, and how consumers who choose the highest value offers behave. They also aimed to diversify and optimize their digital marketing budget. To address these issues, they partnered with Keley Consulting, a Google Analytics Certified Partner, to analyze their traffic acquisition strategy.

A large telecommunications firm that uses digital advertising to increase brand awareness and drive sales sought to understand how display advertising, in combination with other channels, was helping to drive leads among small and medium-sized business customers. A heavy internet advertiser, the firm turned to Google Analytics Premium and MaassMedia to leverage advanced Data-Driven Attribution modeling. In taking this approach, it aimed to measure the impact of display touch points on lead generation and to make better decisions around budget allocation and optimization. The marketing division wanted to expand its reach into new customer bases. Display offered a significant new source of inventory, but it had traditionally been difficult to measure its impact on lead generation. Purely click-based metrics suggested that display was not providing enough return on ad spend. At the same time, view-through metrics did not take into account how display worked with other channels, such as paid search, affiliates and email. The team wanted an approach that would properly credit display touch points throughout the customer journey.

The New Brunswick Department of Culture, Tourism and Healthy Living (CTHL) and their agency, T4G, were looking to increase tourism to the province. They launched a website full of New Brunswick trip ideas to support CTHL’s summer campaign – “My New Brunswick Finds”. The primary goal was to increase engagement for two target audience segments with activities and experiences that suited their interests: “No-Hassle Travellers” and “Cultural Explorers/Authentic Experiencers”. CTHL needed support for the seasonal marketing campaign. They wanted to use analytics to evaluate its performance, and also influence decisions for future campaigns. Since the window to attract visitors is both short and competitive, they needed a platform that was agile enough to evaluate what was working and what wasn’t, and a partner who could make changes to strategy and tactics on-the-fly.

Nissan Motor Company, a global automotive company, wanted to gain a deeper understanding of their audience's product preferences to make informed decisions about serving demand in local markets. They own a network of websites worldwide that help consumers decide which Nissan vehicle they'd like to purchase. On these sites, visitors can explore products and services, download localized versions of promotional materials, and submit a reservation for a test drive. However, Nissan wanted to access much greater detail, such as users' preferences according to car type, model, and color, to measure more information about each inquiry within their Google Analytics reports and make better decisions about the allocation of inventory in local markets.