{CASE STUDIES}

{CASE STUDIES}

CLIENT QUALIFICATION ENGINE

Built a qualification engine that scores, filters, and prioritizes inbound leads based on business fit, urgency, and conversion potential.

YEAR:

2026

INDUSTRY:

Lead Intelligence

TEAM:

Lead Scoring & Qualification Logic

Case Studies Cover Image

{BEFORE TYLLY}

Inbound leads were entering the pipeline without consistent qualification, forcing teams to manually review submissions, assess fit, and prioritize follow-up with limited context.

Without structured qualification logic, high-potential leads were delayed, weak leads consumed attention, and teams lacked a reliable way to score urgency, fit, and intent at scale.

Project Image

{AFTER TYLLY}

We built a qualification engine that evaluates inbound leads automatically using scoring logic based on company profile, request intent, urgency, and commercial relevance.

The system filters and prioritizes leads in real time, assigns qualification scores, and routes stronger opportunities to the right pipeline instantly. Manual lead review was reduced to edge cases only.

Project Image

{WITH TYLLY}

Client Qualification Engine introduced a reliable lead scoring layer that improved prioritization, reduced manual review, and helped teams focus faster on high-value opportunities.

{ARCHIVE}

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