Client Case: Automation and Optimization of
Lead Generation Process for a Software Company
About the Client:
A software company targeting customers in Tier 1 and Tier 2 countries. The company specializes in high-margin products with a long customer lifetime value (LTV). The main objective is to increase sales efficiency and the number of clients with minimal resource expenditure while accelerating the return on investment.
Task:
The client needed to automate the lead generation process and initial interaction with potential customers while maximizing communication personalization and reducing the workload on the sales department. It was crucial to maintain high-quality service and achieve a high conversion rate from lead to customer.
Project Stages:
Stage 1: Lead Database Generation
- Client Data: The client gathers data through Google Business and LinkedIn Sales Navigator, including company profiles and contact details.
Stage 2: Algorithm Training
- Data Preparation: The client provides historical correspondence data with leads, which is used to train an algorithm that mimics the style and sequence of successful communications.
- Lead Website Analysis: The algorithm is trained to analyze websites, news pages to create a lead company profile, and identify three key points of contact with the client’s needs.
- LinkedIn Profile Analysis: The algorithm analyzes LinkedIn contact profiles, determining the country, position, length of time in the current role, BIO, skills, and interests.
- Client Company Profiling: A detailed profile of the client’s company is created, describing all services and capabilities, so the algorithm can accurately generate text messages.
- Localization: The algorithm is trained to write emails in the lead’s native language for global reach.
Stage 3: Testing
- 2000 split tests were conducted for message generation to test and optimize the algorithm before the launch.
Stage 4: Beta Launch
- Processing 50 leads per day. All emails were saved as drafts in the managers’ mailboxes, which they adjusted if necessary before sending. Changes were made to the text generation algorithm based on feedback.
Stage 5: Analytics Integration and Email Management
- Automated updates of email statuses in the database (Sent/Bad Email/Response Received) were set up.
- Click tracking on links in the emails leading to the client’s website was implemented.
Stage 6: Full-Scale Launch
- Increased processing to 250 leads per day. Split tests were conducted for different business niches and contact positions.
Stage 7: Results
- Response Rate/Feedback: 38% in hot niches/audiences, 7% in cold niches/audiences.
- Conversion Rate from Lead to Customer: 3-7% (only enterprise clients considered).
Stage 8: Funnel Automation
- Client response monitoring was implemented. For enterprise clients, notifications are automatically sent to sales managers, and a deal is created in CRM Hubspot. Regular clients are offered a trial or 30-day testing, followed by registration. If additional questions are asked in the email, they are directed to support.
Stage 9: Follow-Up Emails
- For leads that did not respond within a month, the algorithm rechecks company news, using situational marketing to create a new email.
Stage 10: Spam Filter Bypass
- The issue of 20% of emails being caught by Microsoft 365/Google Workspace spam filters was resolved. Systems were implemented to bypass these filters by checking MX servers and creating a parallel communication branch on corporate mailboxes to eventually whitelist the client’s domain.
Economic Impact:
- Reduction in Labor Costs: Automation allowed one sales manager to process up to 4000 contacts per month (instead of 960), which is 316.67% more.
- Client Growth: The client base increased threefold.
- Cost Savings: Savings on maintaining a second sales manager of around €22,000 per year.
- Integration Costs: €8,500.
The client achieved a significant increase in the efficiency of the sales department, reduced operational costs, and greatly accelerated lead generation and client processing. Full customization to the client’s business ensured highly relevant communications and significant client growth.
Case Studies: AI Lead Generation (EMAIL)
Welcome to our Case Studies page, where we showcase how AIgenle’s Lead Generation solutions have transformed B2B businesses by optimizing their lead acquisition and nurturing processes. Discover how we can help you achieve similar success.
B2B Lead Generation with AI Automation
In today’s competitive B2B landscape, efficient lead generation is crucial for sustained growth and success. At AIgenle, we specialize in automating the entire lead generation process, from extracting contact data to creating personalized communication strategies that convert leads into clients.

Problem:
Inefficient and Manual Lead Generation
A leading B2B company faced significant challenges with their lead generation efforts. The manual process of finding and extracting leads, combined with generic outreach methods, led to low conversion rates and missed opportunities.
- Time-consuming manual lead extraction.
- Lack of personalized communication
- Low response and conversion rates.
- Inability to keep up with current company news and updates.
Solution:
AIgenle's Automated Lead Generation
AIgenle implemented a comprehensive lead generation solution that automated the entire process, from extracting lead data to nurturing leads with personalized communication based on their role, company details, and current news.
Key Features:
- Lead Data Extraction: Automated extraction of high-quality leads from various sources, including websites, social media, and databases.
- Personalized Outreach: Creation of tailored email campaigns based on lead’s position, company information, and the latest news.
- Continuous Engagement: Ongoing communication with leads, refining messages based on their responses until they become clients.
- Conversion Funnel: Automated management of the lead conversion funnel, ensuring timely follow-ups and engagement.
Process Overview
- Lead Data Extraction:
- Utilizing advanced AI tools to extract contact information and build lead databases.
- Ensuring data accuracy and relevance through continuous updates and validation.
- Personalized Email Campaigns:
- Generating individual emails tailored to each lead’s role and company specifics.
- Incorporating current company news and updates to enhance relevance.
- Lead Nurturing:
- Maintaining ongoing communication based on lead responses.
- Adapting messages to address specific needs and interests until conversion.
- Conversion Funnel Management:
- Automating follow-ups and engagement throughout the lead journey.
- Monitoring lead progress and optimizing the conversion strategy.
Results:
Transformative Results for B2B Lead Generation
With AIgenle’s automated lead generation solution, the client achieved remarkable improvements in their lead conversion rates and overall efficiency.
Key Outcomes:
- Increased Lead Quality: 50% increase in the number of high-quality leads extracted.
- Higher Conversion Rates: 35% improvement in lead-to-client conversion rates.
- Enhanced Personalization: 40% higher response rates due to personalized communication.
- Efficiency Gains: 60% reduction in time spent on manual lead generation tasks.

Success Story
Client:
B2B Software Solutions Provider.
Challenge:
Struggling with manual lead generation processes, resulting in low conversion rates and high operational costs.
Solution:
Implemented AIgenle’s lead generation automation to streamline data extraction, personalize outreach, and manage the conversion funnel.
Results:
Achieved a 35% increase in conversions, a 50% boost in lead quality, and a 80% reduction in manual effort.
Testimonial: “AIgenle transformed our lead generation process. The personalized outreach and continuous engagement turned more leads into clients than we ever imagined possible.” – CEO
