Tech Consulting

1,333 hours → instant analysis

Consulteer is a mid-sized tech consulting firm helping businesses across defense, healthcare, and fintech sectors scale their operations. With close to 300 employees and nearly two decades of experience since 2006, the company has built an extensive network of partnerships and client relationships across multiple geographies.

~300 employees

1,333 hours saved
Instant analysis of 8,000+ connections
80% reduction in research time
Strategic focus on high-value relationships
Multi-segment management at scale
"Dealmayker transformed how we manage our 8,000+ connection network. What used to take over 1,333 hours of manual research now happens instantly, letting us focus on building relationships instead of gathering data."
Lazar
Lazar
Consulteer

The Challenge: Scaling Relationship Management Across 8,000+ Connections

How does a consulting firm efficiently research and prioritize thousands of potential opportunities?

As a Senior Sales Manager at an established consulting firm, Lazar faced the modern sales professional's dilemma: maintaining quality relationships while scaling outreach efforts. His approach centered on warm outreach and nurturing existing relationships, but the manual research required was becoming a significant bottleneck.

The mathematics of manual research were daunting: with nearly 8,000 personal connections and approximately 10 minutes of research time per prospect, Lazar was facing over 1,333 hours of manual work to properly research and prioritize his entire network.

The Performance Bottleneck

The challenge wasn't just about time—it was about strategic focus. Without efficient ways to:

* Identify which connections had fresh buying signals * Prioritize outreach based on ICP match scores * Surface new conversation angles and opportunities * Scale personalization across multiple industry segments

Lazar found himself spending valuable strategic time on tactical research tasks, limiting his ability to focus on high-value relationship building and deal progression.

The Solution: Dual-Platform Sales Intelligence

Implementing Chrome Extension + Bulk Processing Architecture

Dealmayker's technical approach solved Lazar's challenge through two integrated components:

Chrome Extension for Real-Time Analysis: * Instant on-profile analysis * Live ICP matching scores with detailed reasoning * Real-time buying signal detection * Contextual conversation starters and personalization angles

Web Application for Bulk Processing: * Batch analysis of 8,000 profiles * Automated ICP scoring * Bulk buying signal detection and opportunity prioritization * Export capabilities

Technical Implementation Process

The implementation leveraged Dealmayker's SvelteKit-based web platform with TypeScript and Supabase backend, designed specifically for processing large volumes of data efficiently:

* Profile Data Collection: Automated extraction of profile information, recent activity, and company data * AI-Powered Analysis: Natural language processing to generate persona summaries, detect buying signals, and calculate ICP match scores * Batch Processing: Concurrent processing of multiple profiles with real-time progress tracking * Results Dashboard: Sortable, filterable interface for managing thousands of analyzed prospects

Dramatic Time Savings Through Automation

The impact of implementing Dealmayker was immediately quantifiable:

Research Time Reduction: * Before: 10 minutes per prospect × 8,000 connections = 1,333 hours of manual research * After: Instant bulk analysis of entire network = Immediate results * Time Saved: 1,333 hours of strategic time redirected from tactical research

Operational Efficiency Gains: * Processing Capacity: From analyzing a few prospects per day to 8,000+ profiles in a single batch * Prioritization Speed: Instant ICP match scoring enabled immediate focus on highest-potential prospects * Signal Detection: Automated identification of buying signals across the entire network * Multi-ICP Management: Simultaneous analysis across defense, healthcare, and fintech segments

1,333 hours
Time Saved
8,000+ profiles
Network Analyzed
Instant batch
Processing Speed
3 industries
Segments Managed

Enhanced Strategic Focus

Beyond time savings, the platform enabled strategic improvements:

Smart Prioritization: ICP match scores helped focus efforts on highest-potential connections first

Fresh Intelligence: Regular buying signal updates kept outreach relevant and timely

Scalable Personalization: AI-generated conversation angles for thousands of prospects

Export Integration: Seamless transfer of analyzed data to existing CRM workflows

Product Evolution: User-Driven Development

Beta Feedback Integration

As one of three companies in Dealmayker's beta program, and the one with the highest volume of leads, Lazar's feedback directly shaped product development:

Multi-ICP Management: Based on Lazar's need to manage defense, healthcare, and fintech segments separately, Dealmayker added campaign grouping functionality to the product roadmap, allowing users to organize analysis by industry vertical or campaign type.

Enhanced Export Capabilities: Initial export limitations were identified and resolved based on Lazar's workflow requirements, improving the platform's readiness.

Semantic Lead Generation Roadmap: Lazar's suggestion for continuous lead discovery, where users define ICP criteria and receive ongoing notifications of new high-match prospects, has been added to the product roadmap as a strategic feature.

Looking Forward: Continuous Intelligence

The success with Consulteer has validated Dealmayker's approach to solving sales intelligence at scale. The platform continues evolving based on enterprise user feedback, with upcoming features including:

Semantic Lead Generation: Automated discovery of new prospects matching defined ICP criteria

Campaign Management: Advanced grouping and organization tools for multi-segment sales teams

Enhanced Integrations: Deeper CRM connectivity for seamless workflow integration

Bottom Line

Dealmayker transformed Consulteer's approach to sales intelligence, converting 1,333 hours of manual research into instant, actionable insights across 8,000+ prospects. The platform's dual architecture, which combines real-time Chrome extension analysis with powerful bulk processing, enables a strategic focus on high-value relationships while maintaining the personalization quality essential for B2B consulting success.

For sales professionals managing extensive networks across multiple industry segments, Dealmayker proves that the right technical approach can dramatically scale relationship intelligence without sacrificing quality or strategic focus.

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