SaaSList Scrubbing

    2x Qualified Demos by Scrubbing Trade Show Lists

    A mid-market SaaS company struggled to convert trade show badge scans into qualified demos. Scrubbing the list to remove landlines and DNC numbers doubled their demo-to-lead ratio.

    2x
    Demo Rate Increase
    34%
    Phone Connection Rate
    48hrs
    Time to First Outreach

    The Challenge

    After investing $50,000 in a major industry trade show, the sales team collected 2,500 badge scans. But when they started outreach, problems emerged:

    • 40% of phone numbers were office landlines—unreachable for direct outreach
    • Many numbers were company switchboards, not direct lines
    • No way to identify DNC-registered numbers, creating TCPA compliance risk
    • Sales reps wasted hours dialing dead or wrong numbers

    The result: only 8% of badge scans converted to scheduled demos, and most of the $50K trade show investment was going to waste.

    The Solution

    The company uploaded their trade show list to Clean Leads 365's phone scrubbing tools:

    • Landline identification: Flagged 1,000+ landline numbers for removal
    • DNC scrubbing: Removed 180 Federal and State DNC-registered contacts
    • Invalid number detection: Identified 220 disconnected or invalid numbers
    • Mobile-only output: Delivered a clean list of 1,100 verified mobile numbers

    The scrubbing took minutes, allowing the sales team to start outreach while the trade show was still fresh in attendees' minds.

    The Results

    Phone connection rate
    12%34%
    Demo conversion rate
    8%16%
    Unknown riskZero
    Time to qualification
    3 weeks1 week

    Key Takeaways

    • Trade show badge scans are full of landlines and bad numbers—always scrub before calling
    • Speed matters—scrubbing within 48 hours maximizes trade show ROI
    • Removing landlines alone nearly tripled the connection rate
    • DNC scrubbing protects against costly TCPA violations

    Have Trade Show Leads to Clean?

    Upload your list for a free scan to see how many bad numbers are hiding in your data.