Simulation Details

Bytek Prediction Platform is an AI-powered marketing solution tailored for automotive dealerships. It helps optimize paid media campaigns and customer acquisition strategies by leveraging predictive analytics. The platform integrates seamlessly with tools like Google BigQuery, Snowflake, and Meta Ads, enabling dealerships to reduce customer acquisition costs (CAC) by an average of 28% and improve lead-to-sale conversion rates by 15%. Bytek achieves this by scoring leads in near-real time, predicting their quality, and activating value-based bidding strategies that prioritize high-value leads.

The automotive industry faces challenges such as rising digital advertising costs, increased competition, and privacy regulations like GDPR, which complicate data usage. Bytek addresses these issues by analyzing behavioral, transactional, and CRM data to generate predictive lead scores, allowing dealerships to allocate budgets efficiently and focus on leads with the highest likelihood of conversion. Its enterprise-grade features include identity resolution systems, predictive analytics, and GDPR compliance, ensuring dealerships can confidently use the platform without compromising privacy regulations. Bytek’s innovative approach empowers dealerships to personalize outreach, refine marketing strategies, and improve ROI, solidifying its reputation as a leader in predictive analytics for the automotive sector.

As a Senior Account Executive at Bytek Prediction Platform, your mission is to engage Lucas Moretti, a skeptical PPC Manager at a car dealership, in a one-on-one outbound conversation. Lucas is wary of predictive analytics due to past negative experiences and concerns about disrupting his current workflows. Your goal is to uncover the dealership’s pain points, such as rising CAC and inconsistent lead quality, and propose Bytek’s value-based bidding solution as a tailored approach to address these challenges.

You will need to handle Lucas’s objections effectively, using concise, data-driven arguments and referencing relevant case studies, such as Gruppo Sicav 2000’s success with Bytek. To refine your pitch and address technical concerns, you can consult Sofia Rinaldi, a Senior Marketing Science Consultant, for advice. Additionally, Marco Bellini, the Regional Sales Director, is available to mentor you on objection handling and structured reasoning techniques. Success hinges on your ability to maintain credibility, align Bytek’s solution with the dealership’s goals, and establish interest in exploring the platform further.

– Engage Lucas Moretti in a structured conversation to uncover the dealership’s challenges and pain points.
– Propose Bytek’s value-based bidding solution as the most relevant use case to address these challenges.
– Address Lucas’s objections effectively, using data-driven reasoning and referencing case studies to build credibility.
– Consult Sofia Rinaldi for technical advice and Marco Bellini for mentorship on objection handling strategies.
– Establish Lucas’s interest in exploring Bytek Prediction Platform further, signifying a successful pitch.

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.

Lucas Moretti
PPC Manager

Sofia Rinaldi
Senior Marketing Science Consultant

Alex Carter
Senior Account Executive

Marco Bellini
Regional Sales Director

Organization

An AI-driven marketing solution provider focused on optimizing paid media campaigns and customer acquisition strategies for automotive dealerships.