Simulation Details

ByTek is a global leader in marketing technology, specializing in predictive analytics and AI-driven solutions that enhance digital marketing strategies. With operations in Italy, New York, and Dubai, ByTek serves enterprise clients in automotive sales, retail, and finance, with automotive sales being a key focus due to its complex lead generation challenges. ByTek’s flagship product, the Bytek Prediction Platform (BPP), integrates seamlessly with major Cloud Data Warehouse systems, enabling businesses to activate customer intelligence across CRM systems, advertising platforms, and marketing automation tools. The platform’s advanced AI models, including lead scoring and predictive bidding, help businesses reduce customer acquisition costs by up to 28% and improve lead-to-sale conversion rates by 15%. ByTek adheres to stringent data protection regulations, ensuring businesses can confidently leverage AI-driven solutions while maintaining high standards of data security.

You will step into the role of Alex Carter, a Senior Account Executive at ByTek, tasked with pitching the Bytek Prediction Platform to Alessio Moretti, a skeptical PPC Manager at a car dealership. Alessio is under pressure to reduce customer acquisition costs and improve lead-to-sale conversion rates within a tight timeline. Your mission is to qualify the opportunity using the BANT framework—uncovering Alessio’s budget, authority, needs, and timeline—and address his objections effectively. You must showcase the platform’s ability to deliver measurable outcomes, such as reducing acquisition costs and improving lead quality, while empathizing with Alessio’s concerns about integration complexity and past negative experiences with predictive bidding tools. Success hinges on your ability to align the platform’s features with the dealership’s business objectives and secure Alessio’s interest in exploring the solution further.

– Engage in a one-on-one conversation with Alessio Moretti to uncover his budget, authority, needs, and timeline using the BANT framework.
– Address Alessio’s objections regarding lead quality predictions, acquisition cost reductions, and integration complexity with clear, data-backed explanations.
– Showcase the Bytek Prediction Platform’s ability to deliver measurable outcomes, such as reducing customer acquisition costs and improving lead-to-sale conversion rates.
– Successfully transform Alessio’s skepticism into genuine interest, leading to a request for a quote or further exploration of the platform.

Team

Who you will work with in this Simulation
Your team is 100% generated by AI – you will not interact with real people and no human will read your conversation.

Alessio Moretti
PPC Manager

Sofia Ricci
Marketing Operations Specialist

Alex Carter
Senior Account Executive

Marco Bellini
Regional Sales Director

Organization

A global leader in marketing technology, specializing in predictive analytics and AI-driven solutions for digital marketing strategies.