Are Common Beliefs in the E-Commerce Industry Truly Accurate? Analyzing Effective and Ineffective Measures
In recent times, the e-commerce and retail sectors have been resonating with various popular beliefs that seemed plausible, such as the limitations of customer acquisition, the importance of lifetime value (LTV), the necessity of OMO strategies, and the notion that creativity is all when it comes to advertising. Additionally, there's a growing reliance on AI for demand forecasting and operational efficiency. But the pressing question remains: Do these assumptions truly apply to every company within the industry?
Set to stream on January 22, 2026, at 1:00 PM, the live program titled "Are Common Beliefs in the E-Commerce Industry Truly Accurate?" offers a unique chance to dissect these prevailing narratives. Presented by Takato Honda, the Chief Technology Officer of Melon Inc., the program will sift through widely circulated industry norms found in research reports. It will correlate these with extensive real-world data accrued from numerous corporate collaborations that Melon has engaged in.
The session will not only highlight substantial case studies of effective measures versus ineffective ones but also delineate actionable insights devoid of vague generalizations. Participants can expect to gain a comprehensive understanding regarding key investment strategies, which will help them discern which approaches are beneficial and which should be skipped. Here’s what the attendees will learn:
1. Data-Driven Insights: Learn to differentiate between effective and ineffective strategies using real data rather than hearsay about industry norms.
2. Investment Allocation Guidelines: Gain insights on how to navigate investment decisions concerning new customer acquisition, LTV optimization, pricing strategies, OMO integration, and seasonal factors.
3. Invisible Conditions for Success: Discover critical conditions and decision points that are often overlooked in standard research data, which could make or break your outcomes.
4. AI Implementation: Understand the realistic expectations and requirements related to the introduction of demand forecasting AI and generative AI.
5. Practical Application for Tomorrow: Equip yourself with actionable insights and a checklist for informed decision-making that you can implement immediately in your business operations.
This seminar is especially valuable for:
Takato Honda, CTO of Melon Inc., will lead the discourse on January 22. With a PhD in engineering from Kumamoto University and extensive experience in big data analytics and time-series analysis, Dr. Honda has previously worked in industry research with leading companies such as Toyota and Fujitsu. A former lecturer at Sophia University, he combines foundational research prowess with practical applications, making him a highly regarded expert and media figure in the field.
Participants should register in advance to receive the viewing information post-registration. Please note that attendance may be limited based on capacity, and we may decline registrations from competing firms.
Come and join us as we unravel the truths behind common beliefs in the e-commerce sector, leveraging concrete data to guide your business decisions effectively!
Set to stream on January 22, 2026, at 1:00 PM, the live program titled "Are Common Beliefs in the E-Commerce Industry Truly Accurate?" offers a unique chance to dissect these prevailing narratives. Presented by Takato Honda, the Chief Technology Officer of Melon Inc., the program will sift through widely circulated industry norms found in research reports. It will correlate these with extensive real-world data accrued from numerous corporate collaborations that Melon has engaged in.
The session will not only highlight substantial case studies of effective measures versus ineffective ones but also delineate actionable insights devoid of vague generalizations. Participants can expect to gain a comprehensive understanding regarding key investment strategies, which will help them discern which approaches are beneficial and which should be skipped. Here’s what the attendees will learn:
1. Data-Driven Insights: Learn to differentiate between effective and ineffective strategies using real data rather than hearsay about industry norms.
2. Investment Allocation Guidelines: Gain insights on how to navigate investment decisions concerning new customer acquisition, LTV optimization, pricing strategies, OMO integration, and seasonal factors.
3. Invisible Conditions for Success: Discover critical conditions and decision points that are often overlooked in standard research data, which could make or break your outcomes.
4. AI Implementation: Understand the realistic expectations and requirements related to the introduction of demand forecasting AI and generative AI.
5. Practical Application for Tomorrow: Equip yourself with actionable insights and a checklist for informed decision-making that you can implement immediately in your business operations.
This seminar is especially valuable for:
- - E-commerce business leaders and marketing heads who find themselves wavering in investment decisions.
- - Individuals looking to enhance their LTV strategies amidst slowing new customer acquisition rates.
- - Stakeholders eager to transition away from sales dependency on discounts but lack clear alternatives.
- - Professionals wanting to prioritize OMO initiatives effectively.
- - Those striving to understand the structural elements beyond just creativity in advertising effectiveness.
- - Practitioners contemplating implementing demand forecasting AI yet uncertain about the alignment between expectations and reality.
- - Teams aspiring to integrate AI practically into their everyday functions.
Presenter Introduction
Takato Honda, CTO of Melon Inc., will lead the discourse on January 22. With a PhD in engineering from Kumamoto University and extensive experience in big data analytics and time-series analysis, Dr. Honda has previously worked in industry research with leading companies such as Toyota and Fujitsu. A former lecturer at Sophia University, he combines foundational research prowess with practical applications, making him a highly regarded expert and media figure in the field.
Seminar Details
- - Date: January 22, 2026 (Thursday)
- - Time: 1:00 PM - 2:00 PM (Doors open at 12:55 PM)
- - Cost: Free
- - Format: Online (via Zoom)
Participants should register in advance to receive the viewing information post-registration. Please note that attendance may be limited based on capacity, and we may decline registrations from competing firms.
Come and join us as we unravel the truths behind common beliefs in the e-commerce sector, leveraging concrete data to guide your business decisions effectively!
Topics Consumer Products & Retail）
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