Most lead scoring models don't work because they're full of assumptions and biases. SyncInsight uses AI to reveal high-quality leads, upsell opportunities, PQLs, and churn risks using data, so you can prioritise with confidence.
SyncInsight is an underdevelopment predictive AI platform that revolutionizes lead scoring by using advanced algorithms to uncover high-quality leads, upsell opportunities, product-qualified leads (PQLs), and churn risks based on unbiased data analysis. With a focus on increasing conversion rates, maximizing customer lifetime value (LTV), reducing churn, and enhancing sales team happiness, SyncInsight leverages predictive analytics and workflow automation. The platform enabling automated actions and turning prediction data into strategic revenue-driving workflows. Product-led growth is supercharged by identifying and targeting potential users ready to upgrade or expand their accounts. SyncInsight's predictive lead scoring, workflow automation, and customer lifetime value prediction feature a technology stack that includes AI-based predictive analytics, machine learning, and seamless integration with a wide array of CRM systems and data sources. The software aims to provide actionable insights, optimize marketing and sales efforts, and empower businesses to make informed decisions about customer acquisition and retention strategies.
Sales reps and account managers want to leverage their time. With AI predictive lead scoring, churn prediction, and PQL scoring, you can reveal high quality and non-obvious opportunities in real time - far more accurately than traditional scoring methods.
With over 300 integrations, SyncInsight turns prediction data into automated actions. Increase ROAS by creating custom audiences of those most likely to convert, boost conversions by sending email sequences to leads at the exact moment they are likely to buy, and reduce churn by proactively sending remedial offers. Workflow automation is at the core of SyncInsight.
Supercharge your product-led growth
Find more and better PQL's. Connect data from multiple sources to know in real time when a user is ready to upgrade or expand their account, so you don't need to filter through thousands of leads to find the buyers.
What is customer lifetime value prediction? Customer lifetime value (CLV) prediction is the process of using data analysis and machine learning techniques to estimate the total revenue a business can expect from a customer throughout their relationship. Accurately predicting CLV allows businesses to identify high-value customers, optimize marketing and sales efforts, and make informed decisions about customer acquisition and retention strategies.
Use Predictive Analytics to Identify Your Best Prospects and Focus Your Efforts
Predictive lead scoring is the application of machine learning models to rank prospects based on their likelihood to convert into paying customers. Unlike traditional lead scoring, which relies heavily on human-set assumptions and biases, predictive lead scoring leverages advanced algorithms to analyze vast volumes of prospect data. It identifies hidden patterns that indicate a high probability of conversion, enabling sales teams to concentrate their efforts on the most promising leads.
