Connecty helps sales teams focus where it matters most by understanding every signal, metric, and relationship across your business ecosystem.
See how Connecty prioritizes your best leadsSales teams are flooded with data but starved for context. Every week, reps waste hours deciding who to call first. Data lives in silos — CRM notes, ad data, events, marketing signals — but no system connects them to show which 10 leads matter most right now.
Connecty is a decision intelligence platform powered by an autonomous semantic graph that understands your business goals, metrics, and their dependencies.
Under the hood, Connecty doesn’t guess. It thinks like your best analyst — exploring every signal, from listing activity to CRM engagement and external events — to reveal which leads have the highest conversion potential this week.
Interprets every metric within your business definitions to ensure AI understands your exact context, not generic assumptions.
Continuously runs analyses and surfaces insights without manual setup or retraining.
Improves every week by learning from outcomes and rep performance data.
Connecty’s predictive lead scoring is an end-to-end intelligence loop designed to automatically identify and prioritize the 10 most promising leads per rep each week — with full context, explainability, and continuous learning.
The objective is to rank leads by both conversion likelihood and timing — who’s most likely to convert now. This allows reps to act when buyer intent is highest.
Each lead gets a composite score based on engagement signals, customer history, external triggers, CRM data, and firmographics. These are weighted and normalized to form a 0–100 score that updates weekly.
Listing and competitive activity are layered into the model. If a competitor’s engagement surges or a lead’s visibility drops, Connecty flags it as an at-risk or high-intent opportunity — a “moment of intent.”
Connecty merges CRM history, external signals, market events, and behavioral patterns into one autonomous semantic graph. This graph understands how metrics relate and influence each other — just like a human analyst investigating root causes.
Each week, the system recalculates scores, filters the top 10 leads per rep, and automatically distributes the ranked list with explanations — for example, “Competitor activity increased 30% this week.”
Reinforcement and uplift models learn from rep outcomes to refine predictions. Trend-aware adjustments, geo-cluster signals, and explainability tags keep the model transparent and evolving with the market.
Every week becomes a learning cycle — refining precision, improving sales focus, and ensuring your reps spend time only where it truly drives results.
Predictive lead scoring built on decision intelligence ensures every rep focuses on the right 10 leads at the right time.
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