Data-Driven Account Management – A Success Story of a Leading Music Streaming Provider

How improving data quality unlocked better account management, billing accuracy, and revenue optimization.

Background:

As one of the top global music streaming platforms, the client serves millions of users with diverse, high-quality streaming services. While their front-end experience led the industry, their back-end operations were struggling, especially in account management, billing, and revenue collection.

Despite using three different data quality tools within their source systems, persistent data issues continued to challenge Sales, Marketing, and Finance teams. The company needed a solution that could go deeper and provide lasting clarity across customer data.

The Challenge:

Even after launching internal DQ initiatives with their Technology team, the client struggled to:

• ❌ Eliminate duplicate records in key customer-facing tables

• ⚠️ Resolve standardization and format inconsistencies

• ⛔ Fix incomplete or conflicting customer data

• 🔁 Address multiplicity and redundancy issues, especially with email-linked records

• 📉 Enable reliable reporting for account health, billing status, and marketing attribution

These challenges led to operational inefficiencies, billing errors, and suboptimal customer engagement.

Solution: Routine Powers Clean, Consistent Customer Data

When the client implemented Routine, they quickly saw transformational results driven by automated, AI-powered data quality operations.

🔍 Fast, Autonomous Audits

Routine ingested customer data and delivered a comprehensive report in just 48 hours, uncovering massive quality issues:

• 115K Accounts:▪ 4,152 duplicates▪ 82,012 standardization errors

• 208K Contacts:▪ 18,467 duplicates▪ 154,618 standardization errors

• 397K Leads:▪ 37,987 duplicates▪ 184,522 standardization errors

✅ Automated Data Cleansing

Routine addressed the issues swiftly:

• Removed duplicates and conflicting entries

• Standardized formats across fields

• Resolved multiplicity tied to customer identifiers like email

• Improved completeness, accuracy, and reliability

Results:

🎧 Improved Account Management Accurate customer records allowed Sales and Marketing teams to target accounts effectively and personalize outreach.

💳 Enhanced Billing and Revenue Collection Clean, deduplicated records reduced invoicing errors and streamlined revenue reporting for Finance.

📈 Smarter Decision-Making With clean data and a single version of truth, the business was able to act on trusted insights across departments.

Conclusion:

For this streaming giant, data quality was more than a technical concern—it was a business-critical enabler. Routine helped transform fragmented data into a strategic asset, allowing the company to deliver better customer experiences, maximize revenue, and improve operational confidence.

🎯 Is messy data holding back your business teams? 📅 Schedule a Demo with us and reclaim control of your customer data.