Turn lead chaos into clarity — automatically identify which prospects are most likely to convert.

Sales teams waste time chasing low-quality leads. Our ML-powered lead scoring model analyzes patterns across customer behavior, source, demographic data, and engagement history to rank every lead by conversion potential.

What it does:

• Prioritize leads based on AI-driven likelihood-to-convert scores.
• Match sales reps to the most valuable opportunities.
• Customize scoring models per region, product, or segment.
• Continually learn and improve with every campaign touchpoint.

Best For:

• Better conversion rates.
• reduced sales cycle time.
• smarter rep allocation.

Predict customer dropout before it happens — and win them back before it’s too late

Using behavior signals like product usage, ticket volume, complaint history, and payment delays, we build ML models that calculate the likelihood of churn. These insights are surfaced as early warnings to your customer success or support team.

What it does:

• Custom thresholds for different customer tiers or contracts.
• Proactive intervention triggers (calls, offers, surveys).
• Can be integrated with email and chat to trigger auto-retention workflows.
• Real-time dashboards for CS teams with red-flag signals.

Best For:

• Increased customer retention.
• reduced support burden.
• higher LTV.

Move from gut-feeling forecasts to AI-powered revenue visibility.

Forecasting is often inaccurate due to inconsistent data, pipeline volatility, or rep overestimation. Our ML forecasting models analyze trends, deal progression, rep win rates, seasonality, and market signals to project more realistic revenue outcomes.

What it does:

• Accurate projections at monthly, quarterly, or campaign levels.
• Predict territory or vertical-specific revenue trends.
• Built-in confidence intervals and risk scores.
• Syncs with CRM stages, rep performance, and external trends.

Best For:

• Reliable planning.
• better goal-setting.
• investor-ready forecast confidence.

Know your customers better than ever — and market with precision

Gone are the days of static segments. Our ML-driven segmentation engine continuously groups customers based on their behavior, demographics, LTV, industry, preferences, and lifecycle stage.

What it does:

• Auto-update segments as customer behavior evolves.
• Enable hyper-personalized marketing and product targeting.
• Export directly to campaigns, ads, or in-app experiences.
• Supports B2B and DTC segmentation with customizable logic.

Best For:

• Higher campaign effectiveness.
• improved upsell/cross-sell.
• better retention.

Spot issues before they spiral — fraud, system bugs, or abnormal usage patterns

Our anomaly detection models work 24/7 to detect outliers in any stream of data: support activity, product usage, payment systems, or server logs.

What it does:

• Send alerts when behavior deviates from normal baselines.
• Flag potential fraud, policy breaches, or technical errors.
• Works across CX, finance, product, and IT operations.
• Custom rules can be layered for sector-specific needs (e.g., fintech, SaaS, ecommerce).

Best For:

• Early warning system for operational stability and compliance.

How This Fits Into Your Business:

• Sales Teams:Focus only on high-quality leads, with accurate forecasting
• Customer Success:Prevent churn with proactive alerts and health scoring
• Marketing:Launch ultra-targeted campaigns with smart segments
• Leadership:Make strategic decisions based on predictive insights
• Finance/IT:Maintain risk control through anomaly detection

Why Choose Appsavio’s ML Models

• Custom-trained for your workflows and industry
• Seamlessly integrated into Salesforce, monday.com, or custom CRMs
• SOC 2 and GDPR compliant — built with data privacy at core
• Continually learning with each new data point
• Backed by CRM experts, data scientists, and automation specialists