Google AI Integration for Sales Essentials I (GAIISE)

 

Course Overview

This course is designed to help Sales professionals learn how to use Google AI tools to streamline and enhance various sales processes. Through a combination of presentations and demos, attendees will gain insights into leveraging Gemini, NotebookLM, and AgentSpace to automate tasks, improve client engagement, and derive actionable insights from sales data. The course aims to equip sales practitioners with the skills to implement AI-driven solutions effectively and ethically within the Sales business function.

Who should attend

  • Sales Dev Representatives
  • Account Executives
  • Sales Managers
  • Sales Operations Specialists

Prerequisites

  • Basic Google Apps familiarity, Google Workspace skills, Gemini familiarity, basic NotebookLM skills, basic Agentspace knowledge and skills, Sales lifecycle process knowledge, CRM software familiarity

Course Objectives

  • Utilize the core features of Gemini to personalize outreach, enhance productivity, and improve customer relationship management.
  • Leverage NotebookLM Enterprise to securely query and synthesize information from sales playbooks and client logs for tailored proposals and client-specific messaging.
  • Automate repetitive sales tasks and workflows using Agentspace, improving efficiency and consistency in areas like deal progress and collateral distribution.

Outline: Google AI Integration for Sales Essentials I (GAIISE)

Module 1 - Gemini for Workspace Integration

Topics:

  • Use Case 1: Drafting Personalized Follow-Up Emails After a Meeting
  • Use Case 2: Creating a Tailored Sales Pitch Deck Outline
  • Use Case 3: Analyzing Sales Data in a Spreadsheet
  • Use Case 4: Drafting Initial Outreach Messages for LinkedIn
  • Use Case 5: Summarizing Long Email Threads or Documents for Quick Catch-up

Objectives:

  • Identify how Gemini for Workspace can support marketing content creation and campaign planning.
  • Create marketing copy and analyze campaign performance data using Gemini.
  • Justify the use of Gemini to optimize marketing workflows and improve content quality.
  • Develop strategies for using Gemini to personalize marketing messages.
  • Evaluate the effectiveness of Gemini in improving marketing ROI.

Activities:

  • 5 use case demos

Module 2 - NotebookLM Enterprise Integration

Topics:

  • Use Case 1: Creating a Centralized Product Knowledge Base for Q&A
  • Use Case 2: Deep Dive into Competitor Battle Cards and Intelligence
  • Use Case 3: Understanding Complex Client Requirements from RFPs/Discovery Notes
  • Use Case 4: Brainstorming and Outlining Custom Solutions Based on Past Successes
  • Use Case 5: Onboarding New Sales Hires with Curated Sales Playbooks and Best Practices
  • Use Case 6: Creating a Podcast Episode Outline & Script from Research

Objectives:

  • Explain NotebookLM's information synthesis from various sources.
  • Describe how NotebookLM generates grounded content ideas.
  • Identify how NotebookLM refines messaging and creates briefs.
  • Explain NotebookLM's analysis of qualitative feedback.

Activities:

  • 6 use case demos

Module 3 - Agentspace Integration

Topics:

  • Use Case 1: Automated Lead Enrichment and Qualification Scoring
  • Use Case 2: Monitoring Target Accounts for Trigger Events
  • Use Case 3: Streamlining Internal Sales Knowledge Discovery
  • Use Case 4: Automating Sales Report Data Aggregation for Managers
  • Use Case 5: Proactive Customer Health Monitoring & Churn Risk Alerting

Objectives:

  • Identify AgentSpace's automation capabilities for routine tasks.
  • Describe how AgentSpace proactively monitors campaign performance.
  • Explain AgentSpace's management of marketing data flows.
  • Outline how AgentSpace executes predefined marketing workflows.

Activities:

  • 5 use case demos

Prices & Delivery methods

Online Training

Duration
3 hours

Price
  • US $ 350
Classroom Training

Duration
3 hours

Price
  • United States: US $ 350

Schedule

Currently there are no training dates scheduled for this course.