Ecom Katay 6

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Last updated 4:07 AM on 6/12/26
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82 Terms

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E-Commerce Analytics Tools

are essential platforms that collect, analyze, and report data related to online store performance, customer behavior, and marketing effectiveness

ex. shopify analytics, google analytics

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Shopify Analytics

Built-in for Shopify stores, it tracks store sessions (traffic), conversion rates, average order value (AOV), and customer retention. It also compares sales channels and analyzes visitor origins by region or social media source.

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Google Analytics

Widely used for detailed insights into user engagement, traffic attribution, bounce rates, sessions, conversions, and customer lifetime value.

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Mixpanel

Focuses on event-based analytics, tracking product views, add-to-cart conversions, and customer touchpoints. It offers customizable reports, funnel analysis, and automated alerts for anomalies.

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Adobe Analytics

Provides deep insights into customer interactions across multiple digital platforms with real-time analytics, advanced segmentation, and predictive modeling using AI

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TikTok

sellers list products, affiliates promote them through TikTok content and both sides benefit from sales driven by TikTok’s algorithm and engaged audience

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Metrics for Measuring Success

  • Conversion Rate

  • Average Order Value (AOV)

  • Traffic (Store Sessions)

  • Returning Customer Rate

  • Customer Lifetime Value (CLV)

  • Bounce Rate


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Conversion Rate

The percentage of visitors who complete a desired action, such as making a purchase. It reflects how effectively the site turns traffic into customers.

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Average Order Value (AOV)

The average amount spent per transaction, which helps measure revenue per customer visit

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Traffic (Store Sessions)

The number of visits to the online store, indicating the volume of potential customers.

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Returning Customer Rate

The proportion of customers who make repeat purchases, important for assessing customer loyalty

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Customer Lifetime Value (CLV)

The total revenue expected from a customer over their relationship with the business

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Bounce Rate

The percentage of visitors who leave the site after viewing only one page, signaling engagement issues

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Reporting and dashboards

are essential components of e-commerce analytics. They transform raw data into structured, visual, and understandable information that supports strategic decision-making

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Optimizing based on data insights

means using analyzed information to improve marketing strategies, website performance, customer experience, and overall profitability.

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Reporting in E-Commerce

involves organizing and summarizing business data to evaluate performance. It helps decision-makers understand what is happening in the business and why it is happening.

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Types of E-Commerce Reports

  • Sales Reports

  • Marketing Performance Reports

  • Customer Reports

  • Inventory Reports

  • Financial Reports


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Sales Reports

Show total revenue, daily/weekly/monthly sales, and product performance.

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Marketing Performance Reports

Analyze ad campaigns, click-through rates (CTR), and return on ad spend (ROAS)

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Customer Reports

Provide insights on customer demographics, purchase frequency, and loyalty

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Inventory Reports

Track stock levels, fast-moving products, and reorder points

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Financial Reports

Measure profit margins, expenses, and net income.

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Key Components of an Effective Dashboard

  • Clear Key Performance Indicators (KPIs)

  • Real-time or regularly updated data

  • Simple charts and graphs

  • Filters for time period, product category, or sales channel

  • Comparison metrics (e.g., this month vs. last month)


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Dashboard

is a visual representation of important metrics displayed in one screen. It allows business owners to quickly monitor performance without reading lengthy reports.

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Common KPIs in E-Commerce Dashboards

  • Revenue

  • Conversion Rate

  • Average Order Value (AOV)

  • Traffic Sources

  • Customer Acquisition Cost (CAC)

  • Customer Lifetime Value (CLV)

    Cart Abandonment Rate


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Trend Analysis

Comparing trends over time.

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Segmentation Analysis

Breaking down data by customer group, device type, or location.

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Funnel Analysis

Tracking the customer journey from awareness to purchase

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Comparative Analysis

Measuring performance against past periods or targets.

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Website Optimization

  • Improve page loading speed

  • Simplify checkout process

  • Enhance mobile responsiveness

  • Optimize product descriptions and images


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Optimization

means improving business performance using insights gathered from analytics.

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Marketing Optimization

  • Adjust ad targeting based on high-performing segments

  • Reallocate budget to channels with higher ROI

  • Improve email marketing campaigns using open-rate data

  • Run A/B testing to compare strategies


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Customer Experience Optimization

  • Personalize product recommendations

  • Offer loyalty rewards for returning customers

  • Improve customer support response time


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Inventory Optimization

  • Restock high-demand products

  • Remove or discount slow-moving inventory

  • Forecast demand using historical data


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Communicating Insights to Stakeholders

Data must be presented clearly to managers, investors, or team members.

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Effective communication includes

  • Highlighting key findings

  • Using simple charts and visuals

  • Explaining implications and recommended actions

  • Avoiding unnecessary technical jargon


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Nature of E-commerce Contracts

are agreements formed electronically between buyers and sellers. These contracts must comply with electronic transaction laws that recognize electronic signatures and records as legally binding, like traditional paper contracts.

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Key Contractual Documents

  • Terms of Service (ToS)

  • Privacy Policies

  • Vendor and Supplier Agreements


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Terms of Service (ToS)

Defines the rules and guidelines for using the online platform, including user responsibilities and limitations of liability

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Privacy Policies

Explain how customer data is collected, used, and protected, ensuring transparency and compliance with data protection laws.

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Vendor and Supplier Agreements

Outline the terms between the e-commerce business and its suppliers or service providers, covering delivery, quality, and payment terms

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Intellectual Property (IP) Law

protect original works, trademarks, patents, and trade secrets that are essential to e-commerce businesses

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Protecting IP

  • Maintains brand identity

  • Prevents unauthorized use or infringement

  • Protects business reputation and competitive advantage


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Types of Intellectual Property in E-Commerce

  • copyright

  • trademarks

  • patents

  • trade secrets

  • domain names


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Copyrights

Protect website content, images, videos, product descriptions, and software.

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Trademarks

  • Safeguard brand names, logos, slogans, and symbols.

  • Help customers identify and distinguish a business from competitors.

  • Registration provides stronger legal protection.


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Patents

  • Protect inventions, innovative technology, or unique product features.

  • Give exclusive rights to use or sell the invention for a certain period.


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Trade Secrets

  • Protect confidential business information such as customer lists, pricing strategies, and marketing plans.

  • Secured through confidentiality agreements and internal policies.


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Domain Names

  • Selecting and registering unique domain names prevents cybersquatting.

  • Domain disputes may be handled under policies supported by the World Intellectual Property Organization (WIPO)


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Common IP Issues in E-Commerce

● Unauthorized copying of website content

● Counterfeit products sold online

● Trademark infringement in online advertisements

● Domain name disputes and cybersquatting

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Enforcement and Protection Strategies

● Monitor online platforms for infringement

● Register trademarks and copyrights

● Use clear IP notices and website terms & conditions

● Take legal action when necessary

● Implement takedown procedures in compliance with the Digital Millennium

Copyright Act (DMCA

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Data Privacy Regulations

E-commerce businesses must comply with various privacy laws such as the General Data Protection Regulation (GDPR) in the EU, the California Consumer Privacy Act (CCPA), and local laws like the Data Privacy Act of 2012 in the Philippines.

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Key Requirements of Data Privacy Regulations

  • Obtain customer consent for data collection.

  • Provide clear privacy policies explaining data use.

  • Allow customers to access, correct, or delete their personal data.

  • Implement robust security measures to protect data from breaches.


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Special Considerations of Data Privacy Regulations

● Comply with laws protecting children’s data (e.g., COPPA in the U.S.).

● Follow rules for email marketing such as the CAN-SPAM Act.

● Prepare for breach notifications under laws like the Health Breach Notification Rule.

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Business Obligations in Data Privacy Regulations

  • Process data lawfully and fairly.

  • Train staff on data protection.

  • Regularly audit data security practices to prevent unauthorized access Consumer

  • Rights and Refund Policies


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Consumer Protection Laws

These laws ensure consumers are treated fairly and have access to remedies if products or services are defective or misrepresented.

Examples include the Consumer Act in the Philippines and similar laws worldwide.

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Key Consumer Rights

  • Right to Accurate Information

  • Right to Safe Products

  • Right to Refunds and Returns

  • Right to Privacy and Data Security


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Right to Accurate Information

Sellers must provide truthful product descriptions and disclose material information.

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Right to Safe Products

Products must meet safety and quality standards.

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Right to Refunds and Returns

Consumers can return defective or misrepresented products and request refunds or replacements under specified conditions.

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Right to Privacy and Data Security

Consumers’ personal information must be protected during transactions.

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Seller Obligations

  • Deliver products as described and on time.

  • Honor refund and return policies.

  • Provide accessible dispute resolution channels.

  • Comply with data privacy and consumer protection regulations.


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Role of E-commerce Platforms

  • Platforms may act as facilitators or sellers and have varying degrees of liability.

  • They must monitor sellers to prevent fraud and often provide dispute resolution mechanisms for consumers


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Scaling E-commerce

is a strategic phase that goes beyond simply increasing sales; it requires a comprehensive focus on operational efficiency, technological investment, and careful management of resources

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Scaling Operations

involves increasing revenue while maintaining or improving profit margins through optimized systems.

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Infrastructure and Technology

Businesses must invest in scalable platforms that can handle increased traffic and transaction volumes without performance degradation

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Operational Efficiency

Utilizing automation and AI is essential for enhancing scalability, allowing the business to handle more orders with fewer manual errors.

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Strategic Planning

Effective scaling requires a blueprint that identifies potential bottlenecks in the supply chain and provides solutions before they impact growth.

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International E-commerce Strategies

Expanding into international markets presents significant opportunities but requires a localized approach to succeed in diverse regions.

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Market Localization

Entering global markets demands more than translation; businesses must adapt their content, marketing, and products to meet local cultural and regulatory expectations.

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Market Research

Before entry, entrepreneurs must conduct thorough research to understand regional demand, geopolitical stability, and local consumer behavior.

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Regional Compliance

Businesses must navigate different legal frameworks, including local consumer rights and data protection laws, to operate ethically and legally abroad.

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Global Shipping and Logistics

is a critical component of international growth, directly impacting customer satisfaction and operational costs.

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Logistics Management

Reliable logistics partners and diversified carriers are necessary to ensure timely delivery across borders.

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Customs and Documentation

Efficient global shipping requires automated systems for generating customs documentation and ensuring compliance with international trade regulations.

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Inventory Positioning

To reduce shipping times and costs, businesses often utilize regional fulfillment centers located closer to their international customer base.

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AI-Driven Demand Forecasting

Utilizing AI to predict future sales trends helps businesses manage inventory levels effectively during rapid scaling

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Strategic Alliances

Building partnerships with local distributors or other platforms can significantly broaden market reach and strengthen brand presence in new territories.

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Shopify

A tool entrepreneurs can use to help them in creating an e-commerce, which helps them provide a predictive suggestion for consumers based on their preferences

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Amazon

A shopping app/website wherein it utilizes A.I. to cater for their customers’ experience in using the app. With the help of A.I., consumers can buy products with ease. They personalize shopping experience, recommend products based on their past purchases and even the product they search in the search engine, as well as automate fulfillment (i.e. transactions).

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Partnerships and Strategic Alliances

Big and established companies survive for a very long time simply because they know how to strategically ally with other businesses, that is also the reason why they grew into a big company

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Examples of Partnerships and Strategic Alliances

1. McDonalds and Kinder Joy

2. Jollibee and Sanrio

3. CDO and Bini