Westwing, a leading international ecommerce company for home and living products, was facing a challenge in understanding cross-device usage patterns and purchasing paths of its customers. As members increasingly seek inspiration and buy products across multiple devices and platforms – including desktop, smartphone and tablet – purchasing paths grow in complexity. Westwing recognized the need to develop a clear understanding of cross-device usage habits in order to create effective marketing plans. The company began using Google Analytics when the business launched and upgraded to Google Analytics Premium in collaboration with Google Analytics Premium reseller Trakken in 2012, which enabled them to improve accuracy with unsampled data and increase speed with the freshest data possible.

Wiggle, the UK’s number one online cycle shop and the country’s fifth most popular online sports shop, was facing challenges in aggregating data from multiple sources and gaining meaningful insights into campaign performance. The company wanted to continually convert website visitors into customers to maintain and increase their competitive advantage. Promotions were a top influencer in obtaining conversions, so Wiggle’s website content manager Naveed Nasir turned to Google Analytics Premium for support in refining measurement for this critical area of online revenue generation. His goals were to measure campaign performance, analyze e-commerce data from the campaigns and optimize the campaigns’ aesthetics – all with maximum efficiency.

Marketo, a leading marketing automation software company, needed a platform that could combine external data with user site behavior, allowing it to increase the relevance of its marketing. The company's main objectives were to reengage potential customers at each stage of the funnel, first educating them on its products and later encouraging them to complete a lead form. To achieve these goals while getting full visibility across all its channels and programs, Marketo turned to Google Analytics. The challenge was to improve customer engagement and generate more conversions by tying data obtained from Marketo’s Real-Time Personalization product to an online remarketing campaign.

Airbnb, a global marketplace for accommodation listings, was facing a challenge in managing its complex tagging system. The company uses a large number of website tags, including a unique tag for each of their multiple AdWords accounts and additional tags for an array of vendors measuring different types of conversions. To accommodate the needs of various vendors, many tags had to be replicated several times. At one point, Airbnb was running 88 different audience lists and 100 different tags. The company needed a tag management system to prevent a bottleneck between the operations and marketing teams. The first solution the company tried was not successful — it required significant technical knowledge to implement tags, needed add-on tools for QA and reporting, and was too expensive.

Jobs2Careers, a rapidly expanding job search engine, was facing challenges with its tag management system. The company was using AdWords campaigns to attract relevant users to its site, specifically targeting 35- to 54-year-old job seekers. However, whenever the company wanted to update campaigns with new creative content, it had to edit tags manually. This process required collaborative support from both the marketing and engineering teams, often leading to bottlenecks in workflow as one team would have to wait for the other to complete its part of the tag update. The company was in need of a better solution for tag management to streamline its efficiency and increase conversions.

The American Cancer Society, a century-old organization dedicated to fighting cancer, was facing a challenge in understanding how users interacted with their various websites and mobile apps. They were aware that their digital platforms were being visited by users with different needs and goals, but it was difficult for their digital marketing team to isolate these customer segments and assist them in achieving their goals. Additionally, the Society wanted to address concerns with the Google Analytics implementation on its sites, monitor how its users changed behavior over time, and remarket to all segments once they were identified. To tackle these challenges, the Society turned to Search Discovery, a digital analytics and marketing company.

Big Bang, one of Slovenia’s largest consumer electronics retailers, decided to put more focus on online sales after a major strategic overview in 2013. Their ambitious goal was to increase online revenue by 250% by the end of 2014. To achieve this, Big Bang’s team needed to better understand the consumer decision journey (CDJ) and then use what they learned to improve their customers’ experiences. They needed to find the most important digital channels and touchpoints on the customer journey and measure, analyze, and optimize every step of its online and offline performance.

Rail Europe, the largest distributor of European rail products in North America, operates several B2C and B2B websites catering to US, Canadian and Latin American markets. With up to 20 domains making up the portfolio, the company was struggling with managing tags across all these sites. The implementation and maintenance of these tags was a complex process due to the significant amount of custom data that needed to be exposed. Web developers were spending valuable time on redundant tagging tasks, diverting resources away from enhancing the functionality of the Rail Europe websites. As vendors and technology partners changed over time, tags that had already been deployed would often linger forgotten on sites, burdening page load times and potentially exposing proprietary performance data to third parties. The online marketing team depended entirely on available IT staff for all tag management needs, leading to delays in new tag implementation and lack of valuable insights.

Smarter Travel Media, a portfolio of online travel brands, was facing challenges in managing and organizing remarketing tags. The task of adding new tags to the website was constant and was handled by the development team. The process was ad hoc and required significant resources, taking anywhere from several days to a few weeks to release. The company wanted to improve turnaround times, alleviate the burden on development staff, and manage tags without having to go through a scheduled release. They needed a faster and simpler way of adding tags to their portfolio.

1stdibs.com, a global destination for the best in furniture, fine art, vintage fashion, and jewelry, was looking to revolutionize a classic old-world industry by connecting the world’s finest dealers with discerning buyers online. As business grew, 1stdibs realized that it would need a broader and deeper understanding of e-commerce customers and the marketplace. The company needed a scalable infrastructure to collect, process, store, and visualize data. It also needed to recruit analytics talent and build a culture in which data was at the heart of the business. The company was using Google Analytics to collect and analyze data, but knew they were just scratching the surface. Without a solid attribution strategy, the marketing team didn’t know what it cost to acquire a customer. The team had no way to measure the effectiveness of cross-channel programs.

AIDA Cruises, a market leader in the cruise industry, wanted to understand the online journey of its customers: how customers were acquired, how they behaved, and when they converted. The company aimed to offer guests an unparalleled vacation experience, improve the environment, and create a secure, success-oriented future for all employees. AIDA needed to relaunch thousands of pages, including a full online booking system, and track the results. The company wanted to create an agile and scalable reporting and analysis environment to help all teams access data to enable better decisions.

The year 2020 saw the largest scale adoption of decentralized exchanges (DEXs). Compared to centralized exchanges, DEXs offer more pairs when trading, provide access to a greater diversity of tokens, and enable non-custodial swaps that keep funds safer. However, DEX users often don’t receive the best price when there is insufficient liquidity, or if a particular DEX doesn’t offer the most attractive price. Before MetaMask Swaps, users needed to navigate many DEXs to compare prices and swap tokens. However, using a single DEX or DEX aggregator did not always yield the best price for every trade, as each aggregator performs differently under different circumstances. Additionally, users needed to approve each token on each DEX, incurring expensive gas costs.

The year 2020 saw the largest scale adoption of decentralized exchanges (DEXs). Compared to centralized exchanges, DEXs offer more pairs when trading, provide access to a greater diversity of tokens, and enable non-custodial swaps that keep funds safer. However, DEX users often don’t receive the best price when there is insufficient liquidity, or if a particular DEX doesn’t offer the most attractive price. Before MetaMask Swaps, users needed to navigate many DEXs to compare prices and swap tokens. However, using a single DEX or DEX aggregator did not always yield the best price for every trade, as each aggregator performs differently under different circumstances. Additionally, users needed to approve each token on each DEX, incurring expensive gas costs.

CenterEdge Software, a company that provides a comprehensive platform for managing various aspects of businesses in the entertainment industry, was seeking a new analytics tool. The goal was to find a solution that could extract raw data and present it in a visually appealing and meaningful way to users. The company wanted to empower its customers with a platform that could provide tangible insights and answer specific questions to help streamline business operations and increase profitability. The challenge was heightened by the onset of the COVID-19 pandemic, which imposed new regulations and safety precautions that businesses had to adapt to.

CleverMaps, a map-based analytics platform, was designed to simplify data-driven decisions for non-technical users dealing with location data. However, previous vendors and in-house attempts to build a BI infrastructure did not meet their needs to quickly and efficiently simplify this process, thus inhibiting CleverMaps’ ability to scale. The team learned that more data is not the key for better decisions. Rather, the key for better decision-making is the correct representation, interpretation, and context of the analytic insights. To address this, the company committed to providing better data storytelling capabilities for customers to combine location intelligence insights with BI visualizations.

BizzTreat, a Czech data consulting company, initially served small to midsize companies and sought to provide a cost-effective, easily accessible platform for data visualization and streamlining operations. The company also needed an internal solution for data analytics to cater to its rapidly growing employee base. As BizzTreat grew, it noticed that many companies struggled with data distribution and presentation, particularly when forecasting sales or developing strategic initiatives. One such company was Czech textile supplier MALFINI, which was experiencing slow and inaccurate Excel reporting across departments due to disparate and siloed data sources. This led to inconsistent monthly goal fulfillment and inefficient decision-making processes.

ELEVATE, a provider of a modern, talent-focused and supply-oriented workforce management platform, was looking to differentiate itself from competitors by offering flexible data analytics capabilities. However, the company did not want to build these tools from scratch or increase costs due to expensive licensing arrangements. ELEVATE's customers, Managed Services Providers (MSPs) in contingent labor worldwide, needed a solution that would give them more control over data integration and modeling. The company sought a Business Intelligence (BI) innovation partner that would provide a flexible solution adaptable to any environment or touchpoint in the talent acquisition and management chain.

CompareNetworks, a company that builds B2B media marketplaces to connect science and healthcare manufacturers with target buyers, needed a business intelligence partner to fulfill their complex business needs. They wanted to help their customers cut costs and increase revenue with their proprietary imSMART tool, while also accelerating their own growth as a creator of comparative B2B marketplaces. However, they lacked the necessary analytics. Over the years, they observed their customers struggling to share data across sales and marketing teams to realize business goals. This led to the development of imSMART, an interactive mobile sales enablement tool for B2B companies within the science and healthcare industries.

EAB, a leading provider of education research, technology, and advisory services, was facing challenges with its data reporting process. The company's tailored data reports for each partner school could only be manually created internally in a complicated Excel template and then presented in PowerPoint. This process was slow, laborious, and lacked the utility and accessibility needed for institution-specific analyses. EAB wanted to enhance its analytics capabilities and provide the data tools and visualization capabilities that colleges and universities needed to better manage their initiatives and gain insights about their work.

Repsly, a retail execution platform provider, was looking to expand its market and secure larger customers. To do this, they needed to integrate deeper data insights into their platform to better serve and inform the decision-making of large consumer packaged goods (CPG) companies. They required an analytics partner that would enable enterprise customers to better track product and promotion-specific performance while being easy to understand for both business users and thousands of field representatives. Prior to 2018, Repsly’s platform was best suited for teams of up to 50 to 100 CPG field representatives. To help acquire enterprise CPG customers, Repsly brought on Peter Billante as its Chief Product Officer. Billante identified that the company needed to improve its analytics and reporting capabilities to accommodate its desired targets. More specifically, he knew that Repsly had to increase avenues for large CPG companies to efficiently analyze substantial amounts of data. These improvements would inform decisions based on insights derived from in-store sales and workforce feedback.

Destination marketing organizations (DMOs) are responsible for properly allocating taxpayer dollars to local and state tourist attractions, and they require deeper insights to make data-driven decisions. However, DMOs are traditionally slow to innovate and rely on survey results that are at least six months old. The lack of real-time data insights has been a significant obstacle to improving decision-making. Jay Kinghorn, Zartico’s Co-Founder and CIO, saw how the private sector leveraged data for strategic alignment to better understand customers and transform organizations, and he knew there had to be a way for public sector entities to do the same. According to Kinghorn, DMOs lacked both the data and the technical resources to improve operational efficiencies for the communities they serve. Zartico set out to bring these organizations into the future — move them away from survey data as the main decision-making source (typically taking six to nine months to complete and analyze), and toward real-time data analytics for better distribution of private investments and taxpayer dollars.

Tam Tam, a digital agency based in the Netherlands, has evolved from a simple website builder to a strategic partner for its clients. The agency differentiates itself by having a strong data-driven culture, both internally and with its clients. However, the challenge lies in managing transparency in client relationships, especially when sharing real-time data about campaign performance. The nature of digital data means that numbers can fluctuate, which can cause concern for clients if not properly understood. Furthermore, the fast-paced nature of the industry requires consistent and up-to-date information to avoid unnecessary debates and focus on generating insights and ideas.

Digital-Telepathy, a UX design studio, was facing the challenge of managing and analyzing data from various sources. The process of individually finding numbers or locking in separate app platforms was time-consuming. The company wanted to have a data-driven approach for design development and aimed to see the results of their design work. They wanted to ensure that their designs were not just aesthetically pleasing but were also delivering results. The company also wanted to create a culture of curiosity about data and celebrate small wins.

Saasu, a global accounting platform, has always believed in the importance of data. However, the company faced challenges in making data the ultimate deciding factor in business decisions. The company needed a tool that could display KPIs and metrics prominently throughout their offices and on mobile devices. The challenge was to build a culture where data and intuition could work together, and where data visibility forms an important part of that culture. The company also faced challenges in choosing what to measure, as focusing on the wrong numbers could lead to not achieving business goals.

BNOTIONS, a multi-award winning innovation agency, was facing challenges in providing real-time reporting to its clients and building a data-driven culture within the agency. The agency was spending a significant amount of time on reporting tasks, which was not only time-consuming but also inefficient. The agency was also struggling with transparency and knowledge sharing across different teams and accounts. The traditional method of gathering data and presenting it in PowerPoint presentations was proving to be inefficient and time-consuming. The first five to ten slides of each presentation were dedicated to explaining how the project was performing before getting into recommendations.

BetterNow, a fundraising platform, was struggling to find a solution to effectively communicate and track their metrics. They had previously used another solution, Metricly, but it was discontinued. They needed a system that could connect to all their cloud-based systems and display data in a visually appealing and easy-to-understand manner. The challenge was to find a solution that could break down their overall goals into 'lead' metrics that employees could influence on a day-to-day basis. These metrics needed to be action-oriented and aligned with the overall business goals.

Yummly, a food-focused site launched in 2010, has always been metrics-driven. However, as the company grew, it found itself overwhelmed with information. The company wanted to focus on top-level metrics and visualize them in a way that would be accessible to all team members. They also wanted to build a culture of transparency, where mistakes and successes could be openly shared and learned from. This was a challenge as changing culture is generally difficult and transparency is typically not in one’s self-interest.

BillGuard is a company that revolutionizes the personal finance field by tackling the problem of unwanted charges on people’s bills, credit card statements, and bank accounts. They have an iPhone app that people can use to track their spending and save money. The challenge was to make data accessible and actionable for all the teams in the organization. They needed a tool that could refresh data on its own, be modularized so that if one graph doesn’t work, it won’t break the entire dashboard. They also needed a tool that could easily add another stat to the dashboard when things change or when they do something that requires following another key metric.

Pearson, a global education company, was looking to become more agile and promote data-driven decision-making. The company was already using a variety of cloud technologies, including Google Mail, Documents, and Hangouts, as well as Service-Now and Jira and Confluence. However, the company faced challenges in bringing this kind of mentality and agility into such a large organization. There was a distance between the person who knew they needed information and the person who could deliver it, and there was a skill challenge and a knowledge gap. Many people didn't know that tools were available on the Internet.

Podio, a team organization and communication platform, was facing challenges in sharing insights and tracking the impact of their work. The team was spread across San Francisco and Copenhagen, making it difficult to keep everyone updated on the company's performance. Traditional methods like whiteboards were not effective due to the geographical dispersion of the team. Furthermore, the company was missing a way to track how they were doing as a business. They had key performance indicators (KPIs) around user growth, new customers, daily active users, monthly recurring revenue (MRR), churn, etc., but they lacked a centralized system to visualize and share these metrics. They also wanted to track their performance in customer support, which was a crucial aspect of their business.