Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Google Analytics
- Marketo’s Real-Time Personalization
- AdWords
Tech Stack
- Google Analytics
- AdWords
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Revenue Growth
- Customer Satisfaction
Technology Category
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - API Integration & Management
Applicable Industries
- Software
Applicable Functions
- Sales & Marketing
Use Cases
- Predictive Replenishment
- Demand Planning & Forecasting
Services
- Data Science Services
About The Customer
Marketo is a marketing automation software company that helps marketers master the art and science of digital marketing. It serves as a strategic marketing partner to more than 3,750 companies. The company is based in San Mateo, California. Marketo is a strategic partner for thousands of companies in both the B2B and B2C industries. To do its own marketing, Marketo needed a platform that was flexible enough to combine external data with user site behavior, while allowing it to seamlessly leverage that data to increase the relevance of its marketing.
The Challenge
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.
The Solution
Marketo used a two-step approach to add custom data to the Google Analytics platform. First, it used Marketo’s Real-Time Personalization (RTP) product to identify characteristics of Marketo’s website visitors, and then passed this data to Google Analytics in the form of events. This allowed Marketo to see Google Analytics visitor demographics and behavior information next to Marketo’s RTP-identified characteristics, such as product interest and industry type. Once all the data was in place, Marketo segmented audiences in Analytics based on conversion stage or business vertical. This enabled Marketo to quickly and easily define the Google Analytics remarketing lists based on all the data it had on its users. With Google Analytics’ native integration with AdWords, Marketo was able to pass the lists to AdWords and serve more personalized remarketing ads to its users in just a few clicks.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Infosys achieves a 5–7 percent effort reduction across projects
Infosys, a global leader in consulting, technology, and outsourcing solutions, was facing significant challenges in application development and maintenance due to its distributed teams, changing business priorities and the need to stay in alignment with customer needs. The company used a mix of open source, home-grown and third-party applications to support application development projects. However, challenges resulting from distributed teams using manual processes increased as the company grew. It became more and more important for Infosys to execute its projects efficiently, so they could improve quality, reduce defects and minimize delays.
Case Study
Arctic Wolf Envelops Teamworks with 24x7 Cybersecurity Protection and Comprehensive Visibility
Teamworks, a leading athlete engagement platform, faced rising cyberthreats and needed enhanced visibility into its network, servers, and laptops. With software developers connecting from all over the world, the company sought to improve its security posture and position itself for future growth. The company had a secure platform but recognized the need for a more proactive solution to identify gaps within its technology infrastructure. Data exfiltration and malicious access were top concerns, prompting the need for a comprehensive security upgrade.
Case Study
Sawback IT and Datto Save Client From a Costly Mistake
Ballistic Echo, a software development house, faced a critical challenge when human error led to the deletion of thousands of lines of unique code. This incident occurred before the code was pushed to source control, resulting in significant loss of time, revenue, and work. The previous file-level backup solution they used was slow and inefficient, making it nearly impossible to manually recreate the lost work. The need for a more reliable and efficient business continuity solution became evident to avoid such disasters in the future.
Case Study
Opal Helps Customers Shine Thanks to Datto
SP Flooring & Design Center faced a ransomware attack that encrypted and locked their files. The attack was initiated through a compromised service account set up by an outside vendor. The ransomware infection was isolated quickly, but there was a concern about the extent of the data at risk. The company had backups in place but was unsure of how much information was compromised. The situation required immediate action to prevent further damage and restore the affected data.
Case Study
Zapier Aggregates Multiple Analytics in a Single Dashboard with the New Relic Platform
Zapier, a company that enables non-technical users to push data between hundreds of web applications, was facing a challenge in automating and provisioning servers for optimal performance. The company's environment consisted of 50 Linux servers on the Amazon Elastic Compute Cloud (EC2), a Django application split across several servers, and a backend consisting of a dynamic number of celery task workers fed by messages published to a RabbitMQ cluster. They also maintained a number of internal web services on nginx in front of Gunicorn and Node.js processes. Redis handled simple key and value stores, with logging handled by Graylog2 and ElasticSearch. However, they realized that no level of automation would be sufficient without an effective monitoring solution in place. They needed a tool that could provide immediate alerts when something was breaking and could be easily implemented into their environment.
Case Study
Pipeline Insight Case Study: YARCDATA
YarcData faced challenges in determining the conversion rates of prospects into customers through various marketing efforts and identifying the source of its leads. They wanted to know the percentage of opportunities in the sales pipeline that came from different marketing events, web downloads, or self-sourced sales opportunities. Additionally, they needed the ability to drill down into the data to guide where to allocate more marketing dollars based on the success of previous efforts. Previously, YarcData relied heavily on spreadsheets and Salesforce.com reports, which made it difficult to extract the exact information they needed. This reliance on spreadsheets represented about 70% of their data presentation.