Predict Which Leads Will Convert.
Data-driven intelligence that predicts conversion probability based on historical leads.
Sales Reps, Prioritize High-Value Leads
Real-Time Conversion Probability
See conversion probability scores on Lead records analyzing company profile and engagement patterns.
Data-Driven Lead Scoring
Score leads based on firmographics, engagement patterns, and historical success rates for similar leads.
Sales Managers, Optimize Team Performance
Pipeline Health Insights
Monitor lead quality and conversion rates identifying which sources and attributes drive highest conversion.
Resource Allocation & Territory Planning
Distribute leads to reps based on conversion probability and specialization to optimize productivity.
Marketing Teams, Improve Lead Quality
Campaign Performance Analysis
Identify campaigns generating higher conversion probability to optimize marketing spend and ROI.
Lead Source Intelligence & Attribution
Track conversion rates by lead source and attributes to refine targeting and messaging strategies.
Powerful Capabilities
ML-Validated Scoring
Advanced machine learning models analyze multiple data points including company attributes, engagement history, lead source, and behavioral signals to calculate accurate conversion probability scores for each lead.
Behavioral Analysis
Track and analyze lead engagement patterns including email opens, website visits, content downloads, interaction frequency, and other intent signals that indicate genuine buying interest.
Native Salesforce Security
All prediction models run entirely within your Salesforce environment, ensuring complete data security and compliance. No external data transmission or ML infrastructure required.
Real-Time Updates
Conversion probability scores update automatically as new data becomes available, keeping predictions current and accurate as leads engage with your brand and move through the funnel.
Frequently Asked Questions
Prediction accuracy varies based on data quality and volume, but typically ranges from 75-90% accuracy. Models improve over time as they learn from your historical conversion patterns. The system uses multiple factors including company attributes, engagement history, lead source, behavioral signals, and patterns from thousands of historical leads to make accurate predictions.
The system uses existing Salesforce Lead data including company information, industry, company size, lead source, engagement history (email opens, clicks, website visits), activity records, behavioral signals, and any custom fields relevant to your business. Historical conversion patterns from similar leads are also analyzed. No additional data collection is required beyond what's already in Salesforce.
Yes, the ML models automatically adapt to your specific conversion patterns and can be fine-tuned based on your historical data. You can also configure which fields and attributes are weighted more heavily in the scoring algorithm to match your business priorities and Ideal Customer Profile (ICP).
Conversion probability scores appear as fields on Lead records and can be used in reports, dashboards, list views, and automation flows. You can create automated workflows that assign leads based on scores, trigger follow-up actions, route high-probability leads to specialized teams, or send alerts when high-value leads engage.
Marketing teams can use conversion probability data to understand which campaigns, channels, and lead sources generate leads that actually convert. This provides true ROI measurement beyond just lead volume, enabling data-driven optimization of marketing spend and strategy. Conversion probability also helps with lead source attribution and understanding which marketing activities drive quality leads.
Yes, unlike black-box ML models, the lead scoring system provides transparency into why certain leads score higher. You can see which factors contribute to the conversion probability score, such as engagement level, company fit, lead source quality, and behavioral signals. This explainability helps sales reps understand and trust the recommendations.
Why Choose Lead Prediction
Backed by Historical Data Analysis
Lead scoring models are built using analysis of thousands of historical leads, identifying patterns and factors that consistently predict conversion across different segments and industries.
Higher Conversion Rates
Focus on leads with highest conversion probability to improve overall win rates and revenue generation. Prioritize efforts on leads most likely to become customers.
Data-Driven Decisions
Make informed decisions about lead prioritization based on ML-powered predictions rather than gut feeling. Understand exactly why certain leads score higher than others.
Start Predicting Lead Conversions Today
See how GPTfy's Lead Prediction can help you identify high-value prospects and increase conversion rates. We'll demonstrate the ML-powered scoring in action using your Salesforce data.