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Custify Expands Customer Success Platform with Google Sheets, Databricks and Gong AI Integrations

By Burstable Editorial Team

TL;DR

Custify's new integrations with Google Sheets, Databricks, and Gong AI give SaaS teams a competitive edge by centralizing data to enhance revenue intelligence and analytics.

Custify's platform now integrates with Google Sheets using simple formulas, queries Databricks SQL warehouses, and connects Gong AI call intelligence to customer records through secure authentication.

Custify's integrations help customer success teams modernize workflows gradually, improving processes without forcing abrupt changes and supporting better customer retention and expansion.

Custify's Google Sheets integration requires no API knowledge, allowing CSMs to build custom reports directly in spreadsheets with built-in formulas for easy data access.

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Custify Expands Customer Success Platform with Google Sheets, Databricks and Gong AI Integrations

Custify, a leading customer success platform for SaaS companies, has announced three new native integrations with Google Sheets, Databricks and Gong AI. These additions expand the capabilities of the customer success platform to help teams centralize customer data, improve analytics and enhance revenue intelligence. The company, recognized as a leader in customer success software by G2, states that these integrations significantly expand its ability to centralize customer data and improve revenue intelligence for business-to-business software-as-a-service organizations.

Philipp Wolf, CEO of Custify, explained the strategic importance of these integrations. "With these integrations, we are expanding what customer success teams can do in Custify while making it easier to work with tools like Google Sheets. Many teams still rely on spreadsheets, and our goal is to support them as they modernize their workflows. We believe in improving the process rather than forcing teams to change everything at once." This approach acknowledges the reality that many customer success teams continue to utilize familiar tools while transitioning to more sophisticated platforms.

The Google Sheets integration represents a significant advancement for teams that rely on spreadsheet-based workflows. Enabled through an extension available on the Google Workspace Marketplace, this integration allows customer success managers to fetch company and people data directly into any spreadsheet using simple built-in formulas. According to user feedback, this integration makes it "incredibly easy to pull customer data directly into Google Sheets," as noted by Vicky K., who described it as "perfect for building custom reports and dashboards without any manual exports." The integration requires no application programming interface knowledge or development expertise, making it accessible to non-technical team members.

For organizations utilizing Databricks for data analytics, the new integration enables customer success managers to query their SQL warehouses and sync structured data directly into Custify using secure token authentication. This connection allows teams to leverage their existing data infrastructure while enhancing their customer success platform with richer, more current information. The integration streamlines data flow between analytical systems and customer relationship management, potentially improving decision-making through more comprehensive customer insights.

The Gong AI integration connects call intelligence directly into Custify customer records, enabling any meeting recorded in the platform to be automatically enriched through Gong's artificial intelligence insights. This connection provides customer success teams with deeper understanding of customer interactions, sentiment analysis, and conversation intelligence that can inform engagement strategies and identify potential risks or opportunities in customer relationships. More information about these integrations is available at https://www.custify.com.

These integrations address several critical challenges facing modern customer success teams in the competitive SaaS landscape. By reducing manual data entry and exports, teams can allocate more time to strategic customer engagement rather than administrative tasks. The centralized approach to customer data helps create a single source of truth for customer information, potentially reducing errors and inconsistencies that can occur when data is scattered across multiple systems. For the broader industry, these developments represent continued evolution toward more integrated, intelligent customer success platforms that leverage existing tools rather than requiring complete workflow overhauls.

The implications extend beyond individual teams to impact how SaaS companies approach customer retention and expansion. With better access to comprehensive customer data and analytics, organizations can potentially identify at-risk accounts earlier, personalize engagement strategies more effectively, and demonstrate greater value to customers throughout their lifecycle. As customer success becomes increasingly data-driven, platforms that seamlessly integrate with popular business tools like Google Sheets, Databricks and Gong AI position themselves as essential infrastructure for companies seeking to optimize customer relationships in competitive markets.

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Burstable Editorial Team

Burstable Editorial Team

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