How Savant helped Moogsoft unlock $800k in revenue & cut costs by 25%

About Moogsoft

Moogsoft is an AI Ops incident management platform that helps engineering teams maintain high availability. Founded in 2012, Moogsoft serves hundreds of customers worldwide, including American Airlines, Fannie Mae, Fiserv, HCL Technologies and Yahoo. In 2023, Moogsoft was acquired by Dell Technologies, enhancing its cloud-based AIOps capabilities and supporting Dell's 'multi-cloud by design' strategy with advanced AI functionalities.

The challenges

Despite having a sophisticated data stack with a cloud data warehouse and ELT tools, Moogsoft faced significant challenges in operationalizing actionable insights and enabling rapid experimentation.

Analytics development was slow and labor-intensive

Moogsoft’s GTM optimization is an iterative process that demands quick adjustments to different stages of the sales funnel. The GTM team needed to prioritize sales efforts by scoring prospect interest, incorporating third-party intent signals, website engagement and product usage insights. However, the manual process of aligning nuanced data requirements with stakeholders and negotiating priorities with the data team was slow. This resulted in delayed project completion and limited Moogsoft’s ability to grow their topline.

Data model limitations of business apps led to repeated manual data work

Most CRM systems, including Salesforce, used by Moogsoft, integrate external data but struggle to generate insights from multiple sources. Joining data from multiple objects, running time-series analytics and creating actionable business insights are particularly challenging. Moogsoft’s data team resorted to exporting CRM data for manual analysis in Excel, SQL and Python, a process that hindered scalability and efficiency.

Relying on CRM as the sole data source increased infrastructure costs

Using Salesforce as the single source of truth for customer data meant that all revenue team members needed a Salesforce license to access customer information. As the team grew, licensing costs escalated.

The solution

Moogsoft partnered with Savant to automate its GTM analytics, reduce manual work and lower costs.

Here are the key outcomes of this strategic collaboration: 

Unlocked rapid GTM analytics and new opportunities 

Savant's low-code UI allowed Moogsoft to build its first bot, which activated customer health alerts for sales and customer success teams. This drastically reduced the time and effort required for data analysis and activation, transforming what was once a months-long process into a task completed in a few hours. Within a month, Moogsoft created several other analytics bots. The timely insights generated by these bots have already led to over $800,000 in new opportunities, giving Moogsoft the agility to conduct rapid, data-driven experiments.

Eliminated 100s of hours of manual analytic work 

Moogsoft automated the weekly process of building and refreshing intent scores, a task that previously required pulling data from various sources and performing manual analysis. This automation saved hundreds of hours of manual work each month, allowing the team to focus on strategic initiatives that drive business growth.

Helped reduce GTM stack costs

By using Savant, Moogsoft created a 360-degree view of customer data without relying on Salesforce licenses. Savant's bots delivered the necessary data directly to the apps used by support teams, eliminating the need for additional Salesforce seats. This approach not only reduced licensing costs but also simplified Moogsoft's tech stack. Moogsoft plans to leverage Savant’s AI/ML capabilities to eliminate the need for additional predictive analytics solutions, reducing their total GTM stack costs by an estimated 25%.