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Pinterest Ads 101: Your Go-To Guide to Pinterest Advertising

With Pinterest users growing 37% year year-over-year (Pinterest Business Blog), the platform now drives 16% of global social commerce conversions. Unlike other platforms where users scroll passively, 85% of Pinners use Pinterest to plan purchases (Shopify Research), making it a goldmine for advertisers seeking high-intent audiences. Components of Successful Pinterest Ads 1. Strategic Campaign Setup Begin with a Pinterest Business Account and connect your ecommerce platform. Choose from 6 advertising objectives: 2. Audience Targeting Mastery Leverage Pinterest’s unique targeting options: 3. Creative Best Practices Top-performing ads follow these guidelines: Advanced Optimization Strategies Bidding & Budget Management Choose between Standard pacing (consistent delivery) and Accelerated pacing (time-sensitive campaigns). The average CPC ranges $0.10-$1.50 (Social Media Today), with conversion rates up to 2x higher than other platforms. Performance Tracking Monitor these key metrics: Metric Benchmark CTR 1.5-3% CPC $0.80-$1.20 ROAS 3-5x Expert Tips from Top Advertisers “Pinterest ads generate 2x higher returns than our social media average. The key is aligning seasonal content with Pinners’ planning cycles.” – Jane Doe, Head of Digital Marketing at RetailCo Proven Tactics: Common Pitfalls to Avoid Getting Started Checklist For ongoing optimization, consider using Pinterest’s free certification courses to stay updated on algorithm changes. Next Steps for Success Ready to scale […]

How to Make Money on YouTube in 2025: 7 Simple Strategies

YouTube creators are today’s “grassroots stars.” They attract a large audience by producing entertaining, educational, and informative videos, or content that allows us to experience the wonders of the internet. If you’ve achieved some success on YouTube, there are multiple ways to monetize your videos and channel. Some methods leverage YouTube’s built-in features, while others require directing viewers to external websites. Consider the following seven strategies for making money on YouTube, and also learn how much successful YouTube bloggers can actually earn. 1. Join the YouTube Partner Program The YouTube Partner Program enables creators to earn money from their Shorts, live streams, and long-form videos through various means. Creators who join the program can receive: a share of the revenue from ads shown during videos and between Shorts; a portion of the revenue when YouTube Premium subscribers watch their content; earnings from features like Super Chat, Super Thanks, and channel memberships; and the ability to sell products using YouTube Shopping. The program also provides creators with YouTube’s creator support and copyright matching tools, which help protect original content. Joining the partner program isn’t the only way to make money on YouTube, and it may not be the most profitable strategy […]

Factors on Customer’s Usage Intention of AI E-commerce Assistants: Perspectives from Users and Non-users

In today’s e-commerce world, AI assistants or chatbots are becoming more and more common. But what makes people decide whether to use them or not? Our PhD research takes a close look at this question, considering the views of both those who already use these AI assistants and those who don’t. I. Research Approaches 1. Using Different Methods II. Key Factors 1. From the Consumer’s Point of View 2. From the Societal Aspect 3. From the Marketing Perspective III. Findings 1. Supporting Research Hypotheses All the factors we found really do have a big impact on both users and non-users in the e-commerce setting. This means our initial ideas and guesses about what influences people’s decisions to use AI assistants were right, which helps build a stronger understanding of this topic. 2. Offering Useful Information to Practitioners Our research shows that there are several important factors that affect whether people will use AI e-commerce assistants or not. By looking at it from different angles like the consumer, societal, and marketing perspectives, we hope to help e-commerce platforms make these assistants even better and more widely used in the future.

How Online Customer Service Drives Customer Loyalty

In the highly competitive digital marketplace, customer loyalty is the lifeblood of any business. While there are many factors at play, online customer service stands out as a powerful driver. Let's explore how effective online customer service can turn one - time buyers into loyal brand advocates.

Omnichannel Marketing: Examples, Benefits and Tips

In today’s digital age, omnichannel marketing has become a crucial strategy for businesses to reach and engage customers. Here are some examples, benefits, and tips for implementing an effective omnichannel marketing approach. I. Examples of Omnichannel Marketing 1. Disney Disney is a prime example of a company that excels in omnichannel marketing. Their website is fully responsive and works well on mobile devices. Their streaming platform, Disney+, has a similar look and feel across multiple devices such as TVs, computers, mobiles, tablets, and game consoles. In their theme parks, guests can use the mobile app to locate attractions and check wait times. The MagicBands they provide allow visitors to check in at fastpass+ entrances, enter parks, unlock hotel room doors, and more. It’s a seamless experience that spans across various channels and touchpoints. 2. Starbucks The Starbucks Rewards app is another great example. Customers can use the app to order ahead and pay at participating locations, track their stars and rewards, find stores, and redeem offers. They can also check and reload their rewards cards via the phone, website, in-store, or on the app. This integration of online and offline channels provides convenience and enhances the customer experience. 3. Sephora […]

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What are Personalized Product Recommendations？

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Data Analytics and Personalized Marketing Strategies in E-commerce Platforms

In the highly competitive world of e-commerce, data analytics has emerged as a powerful tool for creating personalized marketing strategies. Let’s explore how it works and the benefits it brings. 1. The Role of Data Analytics in E-commerce 2. Personalized Marketing Strategies Enabled by Data Analytics 3. Benefits of Personalized

Big Data Analytics: Applications, Future and Challenges

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Marketing Analytics: Methods, Practice and Profits

In the competitive world of marketing, understanding and using marketing analytics effectively can make a huge difference for businesses. Let’s explore its methods, how it’s put into practice, and the profits it can bring. 1. Methods of Marketing Analytics 2. Practice of Marketing Analytics 3. Profits from Marketing Analytics In

Using Big Data Analytics for Understanding Customer Behavior in Marketing

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How can Data Analytics Improve Customer Experience

In today’s competitive business world, providing an outstanding customer experience is crucial for success. Data analytics plays a significant role in achieving this goal. Here’s how it can make a difference: 1. Understanding Customer Preferences 2. Predicting Customer Needs 3. Improving Customer Service 4. Personalizing Communication 5. Enhancing the Omnichannel

AI in Data Analytics: A Complete Guide

Artificial Intelligence (AI) has become an integral part of data analytics, transforming the way we understand and utilize data. Here’s a comprehensive guide on how AI is used in this field. 1. Understanding the Basics of AI in Data Analytics 2. Types of AI Techniques in Data Analytics 3. Applications

How AI is Used in Data Analytics?

In recent years, Artificial Intelligence (AI) has been playing a significant role in the field of data analytics. Let’s explore some of the key ways it’s being utilized. 1. Predictive Analytics 2. Anomaly Detection 3. Data Classification and Categorization 4. Natural Language Processing (NLP) in Analytics 5. Recommendation Systems 6.

14 Ways to Use NLP in Customer Service to Boost Efficiency in 2025

In the world of customer service, Natural Language Processing (NLP) is a game-changer. Here are 14 ways it can be used to enhance efficiency. 1. Chatbot Implementation 2. Sentiment Analysis 3. Intent Recognition 4. Automatic Summarization 5. Knowledge Base Integration 6. Language Translation 7. Predictive Analytics 8. Voice Interaction 9.

What is NLP in CRM?

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