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Portfolio Case Study: Using Conversational AI Assistants to Scale Your Sales & Marketing Team

Sales

Copado, an Insight portfolio company, is at the forefront of release management software. With a lean sales and marketing team, they were looking for a cost-effective and highly-scalable way to fuel their growth. That’s when they found Conversica, a conversational AI assistant. With Conversica, Copado was able to deliver a personalized sales and marketing experience at scale.

Join Cameron Tyler, Marketing Manager at Copado, and Amelia Farber, Director of Global Partnerships at Conversica, in a case study on how Copado employed its own conversational AI Assistant to conduct personalized and automated lead follow-up at scale. Get tips on boosting the effectiveness of your marketing activities and workforce productivity through the power of conversational marketing and sales AI Assistants.

During this webinar you'll learn how to:

  • Follow up with 100% of your leads in a 2-way personalized conversation
  • Identify every hand-raiser in your lead funnel with a humanlike touch
  • Put the most relevant content in front of each prospect and move them through the funnel faster

We will reserve time for Q&A at the end of the presentations with Copado and Conversica, so we encourage you to come prepared with questions.

WEBINAR PARTNERS

Copado

Copado Solutions is a leading provider of Salesforce Release Management and Continuous Delivery Platform. They provide a complete Release Management solution with Agile Continuous Delivery, Version Control, Automated Deployments, Automated Regression Testing, Rollbacks, Automated Compliance Scan, Scheduled Metadata backups and more.

Conversica

Conversica is the leader in conversational AI for business and the only provider of AI-driven lead engagement software for marketing and sales organizations. Used by more than 1,200 companies worldwide, Conversica’s sales assistants are built on a proven AI platform integrating natural language processing (NLP), natural language generation (NLG), and machine learning (ML) capabilities.