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

How a leading music streaming platform improved account management, billing accuracy, and customer engagement through better data quality.

Background:

A globally recognized music streaming provider serving millions of users across regions was facing challenges beneath the surface of its smooth customer experience. Despite offering best-in-class content, the organization’s internal teams—Sales, Marketing, and Finance—struggled with account management, billing, and revenue collection due to underlying data quality issues.

Even after deploying three data-quality tools, persistent problems with duplicate records, conflicting customer information, and standardization errors remained unsolved.

The Challenge:

The core data challenges included:

• ⚠️ Inaccurate Billing and Account Data – Duplicate and conflicting customer records led to misaligned billing cycles and missed revenue

• 🔄 Redundancy Across Systems – Inconsistent entries in Accounts, Contacts, and Leads reduced CRM usability

• ❌ Inability to Segment and Target – Incomplete data prevented personalized marketing and upsell opportunities

• 📉 Reporting Inaccuracies – Revenue and customer insights lacked trust due to mismatched identifiers

  
  

Internal DQ projects by the Technology team were unable to fully address the needs of business stakeholders.

Solution: Routine Powers Clean, Consistent Customer Data

Routine was integrated as the central data quality engine, built to automatically detect, prioritize, and remediate data issues across multiple departments and datasets.

🔍 Autonomous Data Audits

Within 48 hours, Routine surfaced deep quality issues, broken down by data domain:

• 115,000 Accounts▪ 4,152 duplicates▪ 82,012 standardization issues

• 208,000 Contacts▪ 18,467 duplicates▪ 154,618 standardization issues

• 397,000 Leads▪ 37,987 duplicates▪ 184,522 standardization issues

🔄 Comprehensive Remediation

Routine’s smart engine cleaned and validated datasets by:

• Removing duplicates

• Standardizing formats

• Filling in missing attributes

• Resolving multiplicity errors (e.g., multiple records tied to a single email address)

  
  

Results:

✅ Improved Account and Contact Accuracy

Reduced duplicates and standardized records ensured more reliable billing and communication.

💳 Fewer Billing Errors, Better Revenue Collection

Data cleanup led to better invoicing workflows and more accurate customer billing.

📈 Actionable Insights for Sales and Marketing

With trusted data, segmentation, targeting, and performance reporting became more effective.

⚙️ Faster Operational Efficiency

Automated detection and resolution allowed business teams to act on real-time data without IT dependencies.

Conclusion:

This leading streaming provider demonstrated that exceptional customer experience starts with exceptional data. Routine delivered a fast, measurable transformation that enabled the business to scale intelligently, reduce revenue leakage, and engage users more effectively.

📌  Ready to optimize your CRM and revenue workflows with clean, reliable data? 📅 Schedule a Demo with us and unlock the true potential of your business data.