Managed Outbound Retargeting for Marketing Agency

AI-driven lead scoring boosted conversions by 45% for a Marketing Agency, reducing wasted time and doubling recurring revenue.

[ TIMELINE ]

3 months

[ CLIENT ]

ClienTech

[ CHALLENGE ]

ClienTech faced a classic scaling problem:


  • Sales teams were overwhelmed by low-quality leads, spending hours on demos that rarely converted.

  • Marketing campaigns drove quantity over quality, making it hard to identify high-value prospects.

  • Churn rates were climbing, with unqualified users failing to see the value of the product.


The leadership needed a smarter, data-backed way to prioritize outreach and allocate sales resources effectively.

[ SOLUTION ]

CienTech implemented an AI-managed outbound system to analyze, qualify, and prioritize leads in real-time based on behavioral and firmographic data. Key components included:


  1. Smart Lead Segmentation
    NAYA auto-filtered aged, unresponsive contacts from the CRM and grouped them by funnel stage and offer relevance


  2. Predictive Re-Engagement Models

    Machine-learning scores rank dormant leads by their likelihood to book a call, so the hottest prospects jump straight to the top of the dial list.


  3. AI Voice Call Sequencing

    Human-sounding voice agents launch personalized call-backs (plus SMS/email nudges) on autopilot, turning “maybe later” into booked strategy sessions.


  4. CRM & Ad-Platform Sync

    Engagement data and call outcomes flow instantly into the agency’s CRM and ad dashboards, triggering win-back playbooks while filtering out dead leads

[ RESULTS ]

45%

Conversion increased

3x

Recurring revenue

35%

Churn rate decreased