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Lead & Opportunity Scoring helps sales teams focus on high-probability opportunities by
leveraging AI-driven win predictions, increasing conversion rates and revenue predictability.
Sales teams often rely on instinct to prioritize leads, leading to missed opportunities, wasted resources, and unpredictable results. Marketing hands off leads without knowing which are truly high quality.
Forecasting feels like guesswork. You’re leaving revenue of the table.


Our predictive Opportunity Scoring model analyzes historical patterns and real-time CRM data to score each lead and opportunity. You get a clear, data-backed, second opinion on which deals are most likely to close.
Help your sales teams focus on high-ROI opportunities. Bring more revenue. Show real results.



Our team delivers the most accurate opportunity scoring solution on the market, tailored to your data, your CRM, and your processes.












- Yasser El Boureidy, Market Dynamics and Performance Director

The Amplify team is unique, because we've been in the shoes of our customers, speak the language of our stakeholders, and have a good grasp of what really solves the business problem. We prioritize our clients, and deliver speed, transparency, and impact.
You need historical sales data, customer data, and CRM data for at least 2 years to get started.
We always recommend starting with a data readiness assessment, before project kickoff. Teams with mature data practices typically move faster, while others may need more support during the EDA phase.
The whole projects takes between 20 and 26 weeks, divided into stages:
A discovery session is a no-obligation 30-minute meeting with our team, where we determine whether our Opportunity Scoring solution is a fit for your business. We discuss your business challenges, data availability, and estimate the potential ROI from implementing predictive Opportunity Scoring.
We are happy to answer any questions regarding our services, your data, and how we could work together.


This project has indirectly received funding from the European Union’s Horizon 2020 research and innovation programme under project REACH Incubator (Grant Agreement no. 951981).
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