SaaSList Scrubbing

    320% Connect Rate Improvement: From 8% to 34%

    A growing SaaS company's CRM was full of stale phone numbers—landlines, disconnected lines, and DNC-registered contacts. Scrubbing transformed their outbound performance.

    320%
    Connect Rate Improvement
    47K
    Numbers Scrubbed
    18K
    Bad Numbers Removed

    The Challenge

    After three years of growth, the SaaS company had accumulated 47,000 phone contacts in their CRM—but outbound calling was producing dismal results:

    • Only 8% of calls connected to a live person
    • Thousands of numbers were landlines that couldn't receive SMS or mobile calls
    • Many numbers were disconnected or reassigned
    • The team had no way to identify DNC-registered numbers, creating compliance risk

    The sales team was wasting hours dialing dead numbers. Morale dropped and the pipeline stalled—not because of bad reps, but because of bad data.

    The Solution

    The company uploaded their full CRM phone list to Clean Leads 365's DNC Cleaner:

    • Landline removal: Identified and flagged 12,400 landline numbers
    • DNC scrubbing: Removed 3,200 Federal and State DNC-registered numbers
    • Invalid number detection: Flagged 2,800 disconnected or invalid numbers
    • Deduplication: Removed 1,100 duplicate entries

    The Results

    After scrubbing, the sales team was left with 28,500 clean, mobile, callable numbers:

    Call connect rate
    8%34%
    Calls to reach a prospect
    12.52.9
    HighZero
    Time wasted on dead dials
    4+ hrs/day<1 hr/day

    With a clean list, the sales team could now focus exclusively on reachable prospects— resulting in more conversations per day and a dramatically healthier pipeline.

    Key Takeaways

    • CRM phone data degrades quickly—regular scrubbing is essential
    • Removing landlines alone can double connect rates for outbound teams
    • DNC scrubbing eliminates compliance risk before it becomes a problem
    • Clean data means reps spend time selling, not chasing dead numbers

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