Data & Leads Optimization
Fuel your sales team with a predictable pipeline. We utilize advanced web scraping, data enrichment, and analytics to provide you with highly targeted, verified prospect lists ready for outreach.
Key Benefits
Fuel your sales team with a predictable pipeline. We utilize advanced web scraping, data enrichment, and analytics to provide you with highly targeted, verified prospect lists ready for outreach.
Before & After
Data scattered across 10 spreadsheets, nobody trusts the numbers
Single source of truth, real-time dashboards everyone trusts
Monthly reports take 3 days to compile manually
Auto-generated reports in seconds, always up-to-date
Decisions based on gut feeling and outdated data
Data-driven decisions with predictive analytics
No idea which products/channels are actually profitable
Full attribution and profitability analysis per product, channel, and customer
How It Works
Target Definition
Defining the exact parameters of your ideal prospect.
Data Extraction
Ethical scraping and aggregation from multiple verified sources.
Enrichment & Verification
Validating emails, phone numbers, and company details.
Delivery & Integration
Pushing clean data directly into your CRM or outreach tool.
Technologies We Use
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Get My Free DiagnosticReal-World Use Cases
Unified Sales Analytics Across 12 Stores
A retail chain with 12 stores and an e-commerce site had sales data in 3 different POS systems, Google Analytics, and Meta Ads Manager. Monthly reports took the finance team 5 days to compile. Nobody trusted the numbers because they never matched.
Centralized data warehouse pulling from all sources automatically. Real-time dashboard showing sales, margins, and attribution by store, channel, and product. Report generation went from 5 days to instant.
Predictive Maintenance Using Machine Sensor Data
A factory with 40 CNC machines experienced 3-4 unplanned breakdowns per month, each costing €8K-€15K in downtime and emergency repairs. Maintenance was purely reactive — they fixed machines after they broke.
IoT sensors + ML model predicting failures 5-7 days in advance. Unplanned downtime dropped 78%. Maintenance costs reduced by €120K/year. Machine lifespan extended by an estimated 30%.
Customer Lifetime Value & Segmentation Model
A fintech company with 50,000 users treated all customers the same — same onboarding, same emails, same support priority. They knew some customers were worth 20x more than others but had no way to identify or act on it.
Built CLV prediction model and automated segmentation. High-value customers get white-glove onboarding and priority support. Marketing spend reallocated to highest-ROI segments. Revenue per customer grew 34%.
Product Recommendation Engine from Purchase Data
An online electronics store with 8,000 products showed 'bestsellers' to everyone regardless of browsing history. Their recommendation section had a 0.8% click-through rate. They knew Amazon-style personalization could help but didn't know how to build it.
Collaborative filtering model trained on 2 years of purchase data. Personalized recommendations on homepage, product pages, and email. Recommendation CTR jumped to 12%. Average order value increased 23%.
Clinical Data Pipeline for Research Hospital
A research hospital needed to analyze patient outcomes across 15 years of records stored in 4 different systems (2 legacy). Researchers spent weeks manually extracting and cleaning data for each study. Data quality issues invalidated 2 published studies.
Automated ETL pipeline with data quality checks, anonymization, and a research-ready data lake. What took weeks now takes hours. Data quality score improved from 72% to 98%.
Fleet Performance & Cost Optimization Dashboard
A transport company with 120 vehicles tracked fuel, maintenance, and driver performance in separate systems. The operations manager spent every Friday afternoon building a manual report in Excel. Cost overruns were only discovered at month-end.
Real-time fleet dashboard combining GPS, fuel cards, maintenance logs, and driver data. Identified 15 vehicles with 40%+ above-average fuel consumption. Optimizations saved €180K/year in fleet costs.
Trusted by leading companies
Frequently Asked Questions
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