Eric Shaver

Magic Eric Shaver

Master of automation workflows and business intelligence solutions.

Discover The Magic

Full Interview

Full Interview

Amazing Song

Amazing Song

Speaker Introduction

Speaker Introduction

Interview Highlights

Interview Highlights

Automation Workflows

Data Collection for Company Research

1
HTTP Request
2
Perplexity API
3
Data Parsing
4
Data Storage
5
Quality Control
6
Notification Node
7
Formatter Node
8
Error Handling
9
Data Review
10
Report Generation

This automation gathers information on a target company from Perplexity, parses the data, stores it for review, and automatically generates a report for future use. Alleviates time spent on manual research and data collection, providing accurate and sourced information quickly.

Sales Lead Generation

1
Web Form
2
Data Collection Node
3
HTTP Request (LinkedIn API)
4
Data Processing
5
Email Verification
6
Quality Control
7
Formatter Node
8
CRM Integration
9
Notification Node
10
Follow-Up Task

This automation captures lead information from a web form, verifies it against LinkedIn data, ensures accuracy, and integrates it into a CRM for follow-up. Reduces the chances of incorrect lead data entering the system and facilitates timely follow-ups with potential clients.

Meeting Preparation and Follow-Up

1
Calendar Event Trigger
2
Data Retrieval (CRM API)
3
Email Composition
4
Quality Control
5
Email Sending
6
Follow-Up Task Creation
7
Notification Node
8
Formatter Node
9
Reminder Setup
10
Error Handling

This workflow automatically retrieves client details from a CRM based on calendar events, prepares an email to confirm the meeting, and sets reminders for follow-ups. Minimizes the workload involved in meeting preparation and ensures important follow-ups are not overlooked.

Performance Analysis for Sales Strategy

1
Database Query
2
Data Aggregation
3
Statistical Analysis Node
4
Report Generation
5
Quality Control
6
Dashboard Update
7
Formatter Node
8
Notification Node
9
PDF Generation
10
Error Logging

This automation analyzes sales performance data, generates statistical insights, updates dashboards automatically, and generates a PDF report for stakeholders. Provides actionable insights into sales performance efficiently while maintaining data accuracy and integrity.

Personalized Email Campaigning

1
List Retrieval
2
Data Segmentation
3
Email Template Selection
4
Dynamic Data Insertion
5
Quality Control
6
Email Sending
7
Analytics Tracking
8
Formatter Node
9
Error Handling
10
Follow-Up Task

This automation divides email lists based on client data, personalizes emails using templates, sends them, and tracks engagement statistics. Increases the effectiveness of email campaigns by ensuring that content is tailored to the recipient, which helps improve engagement rates.

Social Media Engagement Tracking

1
API Trigger
2
Data Retrieval (Social Media API)
3
Data Processing
4
Sentiment Analysis
5
Quality Control
6
Notification for Action Needed
7
Formatter Node
8
Database Update
9
Reporting Node
10
Error Handling

This workflow captures social media interactions, processes sentiment analysis, updates internal databases, and alerts the team about interactions needing attention. Improves responsiveness to social media engagement while ensuring data handling is accurate and streamlined.

Learning Material Preparation for Training

1
File Retrieval
2
Data Structuring
3
Content Generation Node (via AI)
4
Quality Control
5
Document Formatting
6
Email Preparation
7
File Storage
8
Notification Node
9
Feedback Collection
10
Error Handling

This automation retrieves existing training materials, generates supplementary content, formats it appropriately, and stores it for distribution. Enhances the quality and relevance of training materials while reducing the manual effort required for preparation.

Customer Feedback Loop Integration

1
Form Submission Trigger
2
Data Collection Node
3
Quality Control
4
API Call to Feedback Platform
5
Report Generation
6
Notification Node
7
Follow-Up Task Creation
8
Formatter Node
9
Database Update
10
Error Handling

This automation captures customer feedback from forms, processes it for action, and generates reports while ensuring important alerts and follow-ups are created. Streamlines feedback collection and ensures quick responses to customer insights, enabling improved customer satisfaction strategies.

Executive Engagement Preparation

1
HTTP Request
2
Data Analysis (Financial API)
3
KPI Extraction
4
Email Draft Preparation
5
Quality Control
6
Email Sending
7
Calendar Event Creation
8
Notification Node
9
Follow-Up Task
10
Error Logging

This workflow gathers financial and performance data for a targeted executive, prepares personalized email drafts, and sets calendar reminders for next steps. Facilitates strategic engagement with executives by ensuring that communications are data-driven and timely while minimizing reliance on manual methods.

Market Trends Analysis

1
Web Scraping Node
2
Data Collector
3
Trend Analysis Node
4
Report Generator
5
Quality Control
6
Notification Node
7
Formatter Node
8
Database Update
9
PDF Creation
10
Error Handling

This automation scrapes data from multiple web sources to identify and analyze market trends, generating comprehensive reports on findings. Provides actionable market insights without the extensive manual effort typically required for trend analysis, enhancing market understanding and focus.