Get Cleaner, Smarter Data with Traction Complete’s Complete Clean and fusionSpan

Engage Members with Confidence, Not Guesswork

Member-based organizations and nonprofits rely on accurate data to confidently engage members, report, and operate efficiently. Yet CRMs often become cluttered with duplicate contacts, outdated records, and inconsistent information — slowing teams down and leading to missed opportunities.

fusionSpan is proud to partner with Traction Complete to address this challenge head-on. By leveraging Complete Clean, we help organizations automate data cleansing, eliminate duplicates, and maintain a reliable, always-ready database. As a 100% native solution, Complete Clean keeps data secure, actionable, and under your control.

Confronting the Deduplication Dilemma

Many organizations struggle with maintaining clean, structured data — especially in legacy systems and fast-growing environments. Duplicate accounts, inconsistent records, and outdated contact information drain resources and reduce engagement. In fact, industry studies suggest that up to 30% of CRM data can be redundant or inaccurate, hindering your operational efficiency and decision-making (Source: Experian Data Quality).

Unlocking Organizational Efficiency

Complete Clean offers a robust solution to overcome these obstacles by:

• Eliminating Duplicates: Automates identification and merging of duplicate records to keep your database organized and unified.
• Improving Data Quality: Ensuring that every data point is up-to-date and consistent, thereby improving the overall reliability of your CRM system.
• Saving Time and Resources: It frees staff from manual data cleanup chores, allowing them to focus on member engagement and strategic initiatives.

Our Success Story

At FusionSpan, we didn’t just rely on promises — our own experience with Traction Complete spoke volumes.

After deploying Complete Clean to dedupe our accounts and contacts, we saw a 12% improvement in data accuracy and an 8% reduction in duplicate contact and account records. These improvements streamlined our workflows, improved reporting, and reinforced our commitment to maintaining clean, dependable data across our systems.