World Traveler Series (4/N): Welcome to Africa, Part 2/2 (feat. Prasanna Veeraswamy)

In this podcast episode, ⁠Dr. Deva Rangarajan⁠ discusses the topic of prospecting in sales. The conversation covers various aspects of prospecting, including the changes in prospecting over time, the difference between advertising and marketing, and the role of sales and marketing in outbound and inbound prospecting. The discussion also touches on the effectiveness of cold calling and cold emailing, the challenges of purchasing mailing lists, and the importance of automation in sales. The episode concludes with a recap of the main points discussed and a preview of the next episode, which will delve into a practical example of prospecting. Takeaways Prospecting in sales involves both outbound and inbound approaches. The role of sales and marketing teams is crucial in both outbound and inbound prospecting. Cold calling and cold emailing can still be effective in certain scenarios and industries. Purchasing mailing lists may not be a reliable or recommended approach. Automation plays a significant role in streamlining sales processes. Open rates and response rates in email campaigns can vary, and it is important to set realistic expectations. Chapters 00:00 Introduction 01:24 Subjectivity in Sales 06:42 Sales Prospecting 101 09:31 Changes in Prospecting 10:33 Difference Between Advertising and Marketing 12:26 Sales and Marketing for the Long Term 15:24 Inbound and Outbound Prospecting 18:43 Approaching Outbound and Inbound Differently 22:03 Role of Sales and Marketing in Outbound and Inbound 23:37 Assessing Success in Sales and Marketing 25:26 Filtering Leads in Inbound Marketing 26:52 Role of Sales and Marketing Teams 27:36 Inbound and Outbound as a Combination 29:29 Outbound Sales Campaigns 30:51 Cold Calling and Cold Emailing 32:43 Effectiveness of Cold Calling in 2024 33:31 Feasibility of Cold Calling in Certain Scenarios 34:36 Cold Calling in Specific Industries or Demographics 36:39 Cold Emailing and LinkedIn Prospecting 38:17 Challenges with Purchasing Mailing Lists 39:23 Quality and Accuracy of Mailing Lists 42:42 Considerations for Small Organizations 43:39 Importance of Automation in Sales 44:57 Open Rates and Response Rates in Email Campaigns 49:09 Recap and Practical Examples 53:49 Closing Comments 55:51 Next Steps and Example 58:14 Conclusion Dr. Rangarajan's Links LinkedIn Profile Ball State Sales Center⁠ Snowpal Products Backends as Services on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AWS Marketplace⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Mobile Apps on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠App Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Play Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Web App⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Education Platform⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for Learners and Course Creators

26 Jan 202458min

In this podcast, Krish discusses the importance of using diagrams to effectively communicate within teams. He shares examples of different types of diagrams, including sequence diagrams, flowcharts, and mind maps. Krish emphasizes the productivity and efficiency gained by using digital tools to create diagrams, rather than manually drawing them. He also highlights the value of diagrams in conveying complex information and facilitating understanding. Overall, the podcast emphasizes the benefits of incorporating diagrams into team communication and decision-making processes. Takeaways Diagrams are a powerful tool for effective communication within teams. Using digital tools to create diagrams increases productivity and efficiency. Different types of diagrams, such as sequence diagrams, flowcharts, and mind maps, can be used to represent different types of information. Diagrams help convey complex information and facilitate understanding. Chapters 00:00 Introduction to Diagrams 04:45 Using Diagrams to Communicate Within Teams 06:08 Using Sequence Diagrams 22:44 Using Flowcharts 32:09 Using Mind Maps 35:33 Summary and Conclusion Snowpal Products Backends as Services on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AWS Marketplace⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Mobile Apps on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠App Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Play Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Web App⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Education Platform⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for Learners and Course Creators

25 Jan 202437min

In this podcast, Krish explores the process of digital analysis and how to take the analysis forward. He discusses different approaches to analyzing product usage, including general product usage analysis, client-specific product usage analysis, feature-specific product usage analysis, ad hoc analysis, and usage pattern analysis. Krish emphasizes the importance of communicating the analysis to the product team and translating it into meaningful requirements for the engineering team. Takeaways Digital analysis involves analyzing product usage and user behavior. Different approaches to analysis include general product usage analysis, client-specific product usage analysis, feature-specific product usage analysis, ad hoc analysis, and usage pattern analysis. Communicating the analysis to the product team is crucial for making informed decisions. Translating the analysis into meaningful requirements helps guide the engineering team. Chapters 00:00 Introduction and Recap 03:58 Communicating Analysis to Product Team 04:59 General Product Usage Analysis 09:34 Client Specific Product Usage Analysis 14:51 Feature Specific Product Usage Analysis 20:39 Ad Hoc Analysis 25:25 Usage Pattern Analysis 31:03 Translating Analysis into Requirements Snowpal Products Backends as Services on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AWS Marketplace⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Mobile Apps on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠App Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Play Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Web App⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Education Platform⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for Learners and Course Creators

25 Jan 202434min

This podcast episode explores digital analytics tools, with a focus on FullStory. The host provides an overview of digital analytics and its importance in understanding user behavior and improving online marketing strategies. The features and configuration of FullStory are discussed, including the ability to analyze user activity, track frustrated sessions and rage clicks, and use UTM campaigns for tracking. The episode also touches on the use of DataDog for digital analytics and highlights the various aspects that can be analyzed, such as session length, user behavior, and conversion rates. The episode concludes with the importance of using digital analytics to improve business performance. Takeaways Digital analytics tools help gather, analyze, and interpret data from digital sources to understand user behavior and improve online marketing strategies. FullStory is a digital analytics tool that provides detailed insights into customer behavior, allowing for optimization of webpages, marketing campaigns, and online initiatives. Features of FullStory include analyzing user activity, tracking frustrated sessions and rage clicks, and using UTM campaigns for tracking. Session length and active time are important metrics to consider for user engagement and scalability. Frustrated sessions and rage clicks can provide insights into user experience issues and areas for improvement. UTM campaigns and sources can be used to track and analyze the performance of digital marketing campaigns. DataDog is another tool that can be used for digital analytics and offers features for monitoring and observability. Digital analytics can be customized to analyze different aspects such as user behavior, page performance, and conversion rates. Using digital analytics can help businesses improve their online presence, understand user needs, and make data-driven decisions for growth and optimization. Chapters 00:00 Introduction and Context 01:27 Overview of Digital Analytics Tools 03:49 Exploring FullStory 07:14 Configuring FullStory 09:40 Analyzing User Activity in FullStory 13:13 Additional Features of FullStory 19:00 Importance of Session Length and Active Time 20:04 Optimizing User Experience and Scalability 21:45 Frustrated Sessions and Rage Clicks 22:33 Understanding Frustrated Sessions and Rage Clicks 23:37 UTM Campaigns and Sources 26:34 Using UTM Codes for Tracking 28:38 Customizing Analysis Parameters 29:42 Exploring DataDog for Digital Analytics 31:56 Analyzing Different Aspects of Digital Analytics 38:00 Using Digital Analytics to Improve Business 39:16 Conclusion Snowpal Products Backends as Services on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AWS Marketplace⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Mobile Apps on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠App Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Play Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Web App⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Education Platform⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for Learners and Course Creators

24 Jan 202439min

In this podcast, Krish discusses how each individual represents not only themselves but also a larger population. He emphasizes the importance of credibility, professionalism, clear communication, and commitment to deliverables. Krish also highlights the significance of reputation and how it can impact others who share similarities. He advises learning the paradigms of the organization and reacting gracefully to transitions. Krish concludes by reminding listeners that a job does not define their worth as a person. Takeaways Representing oneself also means representing a larger population. Credibility is crucial in building trust and reputation. Clear communication and professionalism are essential in the workplace. Commitment to deliverables and meeting deadlines is important. Helping others and reacting gracefully to transitions can have a positive impact. A job does not define an individual's worth. Chapters 00:00 Introduction 00:58 Representing a Larger Population 03:25 Changes in the Hiring Process 08:05 Credibility 09:58 Location and Availability 12:17 Professionalism 13:19 Communication 15:25 Commitment to Deliverables 16:48 Reputation 18:31 Learning Organizational Paradigms 19:53 Confidence 20:58 Helping Others 23:01 Reacting to Transitions 25:20 Job Does Not Define You 26:39 Conclusion Snowpal Products Backends as Services on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AWS Marketplace⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Mobile Apps on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠App Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Play Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Web App⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Education Platform⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for Learners and Course Creators

22 Jan 202429min

In this podcast episode, Krish discusses employee retention and the overall employee experience. He shares insights and tips based on his experience in software development and running a startup. The conversation covers various topics such as job descriptions, recruiter reach out, interview processes, communication and feedback, onboarding, promotions and pay raises, time off policies, equipment, happiness check, training, engagement, restructuring, and moving on. Krish emphasizes the importance of treating employees as individuals and creating a positive work environment. Takeaways Job descriptions should be engaging and reflect the company culture. Recruiters should reach out to candidates in a personalized and clear manner. The interview process should be well-defined and relevant to the role. Regular communication and feedback are crucial for employee satisfaction. Onboarding should be seamless and include necessary resources and support. Treating contractors and consultants with respect and clarity is important. Promotions, pay raises, and titles should be personalized to meet individual preferences. Time off policies should be flexible and considerate of employees' needs. Providing the right equipment and tools for work enhances productivity and satisfaction. Engagement activities should be tailored to the team's preferences and promote a positive work culture. Restructuring should be handled with empathy and transparency. When moving on, employees should give notice and assist with the transition process. Chapters 00:00 Introduction 01:42 Job Description 04:46 Recruiter Reach Out 08:52 Interview Process 12:23 Communication and Feedback 13:21 Onboarding Process 15:21 Treating Contractors and Consultants 17:05 Feedback 18:05 Promotions, Pay Raises, and Titles 20:24 Time Off 22:01 Equipment 25:31 Happiness Check 27:00 Training 28:30 Engagement 30:59 Restructuring 34:36 Moving On 35:36 Conclusion   Snowpal Products Backends as Services on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AWS Marketplace⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Mobile Apps on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠App Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Play Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Web App⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Education Platform⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for Learners and Course Creators

22 Jan 202436min

In this episode, Krish and Kramer discuss the impact of the automated economy on global economic growth. They explore the differences in the adoption of automated economy between countries and the role of culture in this process. They also identify the countries that are likely to have the largest impact on the automated economy, including India, African countries, South Asian countries, and Latin American countries. The conversation explores the impact of the automated economy on different countries and regions. It discusses the growth potential of India, Africa, South Asia, Latin America, China, Europe, Australia, and New Zealand. The chapters also highlight the relationship between GDP and the automated economy. They explore the contribution of automated economy to GDP growth and how it is not directly proportional. They also discuss the importance of the percentage of automated economy and its contribution to GDP. Additionally, they delve into the concept of accelerating economic growth through automation and how the growth potential of an economy is directly proportional to the level of automation. Finally, they summarize the key takeaways, including the role of automated economy in driving economic growth and the importance of understanding the cultural and political perspectives. Takeaways The automated economy is driving global economic growth, with the GDP generated from the automated economy increasing from $13.5 trillion in 2018 to $53.3 trillion in 2022. The adoption of automated economy varies between countries, with factors such as disposable income, government support, and cultural readiness playing a role. Countries like India, African countries, South Asian countries, and Latin American countries have the potential for significant growth in the automated economy. The growth of the automated economy is driven by consumer demand for convenience and personalization, as well as the ability of businesses and governments to implement and support automation. India has a high growth capability due to automation and a focus on middle-income growth. Africa has the potential to become a stellar growth region, but disposable income growth may hinder its economic impact. China may struggle with middle-income growth, resulting in a lower impact from the automated economy. Latin America has the economic capability for growth, but cultural adoption may slow down the impact of automation. The growth potential of different countries and regions is not directly proportional to their GDP. The contribution of automated economy to GDP growth is not directly proportional. The percentage of automated economy and its contribution to GDP is an important factor to consider. Automation can accelerate economic growth by increasing the expansion capability of an economy. The growth potential of an economy is directly proportional to the level of automation. Chapters 00:00 Introduction 11:03 Differences in Automated Economy between Countries 19:14 Culture and Automated Economy 35:27 Countries with the Largest Impact on Automated Economy 42:55 The Impact of the Automated Economy on Different Countries 44:20 China's Struggle with Middle Income Growth 45:38 India's Growth Capability Due to Automation 48:01 The Growth Potential of Latin America 53:23 The Growth Potential of Western & Rest of Europe 55:02 The Growth Potential of Australia & New Zealand 58:02 The Impact of GDP & Automated Economy 01:20:03 Accelerating Economic Growth through Automation 01:23:12 Summary Snowpal Products Backends as Services on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AWS Marketplace⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Mobile Apps on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠App Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Play Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Web App⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Education Platform⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for Learners and Course Creators

20 Jan 20241h 29min