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GA4 or CDP? Comparing 5 Key Differences Between GA4 and CDP
GA4 or CDP? Comparing 5 Key Differences Between GA4 and CDP

With the phasing out of third-party cookies in year 2024, and the increasing intensity in the digital advertising market, many brands are gradually turning to first-party data. Brands are shifting their marketing focus from 'acquiring high volumes of traffic' to 'cultivating brand loyalty among existing customers'. To support this shift, brands are increasingly adopting various data analytics tools to gain insights into customer behavior to establish more personalized marketing communications. Among these tools, GA4, used by over 95% of marketers worldwide, provides rapid insights into online traffic. In contrast, the Customer Data Platform (CDP), one of the most talked-about tools in recent years, focuses more on the integration of multi-channel data and personalized marketing applications. Both GA4 and CDP are indispensable for entering the realm of data-driven marketing. However, the ability to maximize their potential and value depends on the brand’s current operational needs. This article will provide a detailed introduction to the application scenarios of both tools, helping you to clearly understand the differences between GA4 and CDP. With a better understanding, you can leverage these digital tools to their fullest potential and achieve the greatest impact and effectiveness in your marketing efforts.
E-commerce GMV Metrics: Strategies for Managing Existing Customers Trends
E-commerce GMV Metrics: Strategies for Managing Existing Customers

Building on the previous article, to more effectively analyze GMV revenue and identify growth drivers, we need to break down both first-time and existing customers in detail. This approach helps uncover performance growth factors that might be overlooked in the broader metrics. By examining these segments separately, we can gain deeper insights into the specific elements contributing to overall revenue growth.
E-commerce GMV Metrics: Strategies for Managing First-Time Buyers Trends
E-commerce GMV Metrics: Strategies for Managing First-Time Buyers

When analyzing revenue, e-commerce brands commonly use GMV (Gross Merchandise Value) to gauge performance. By examining the components of this formula, brands can identify areas for further optimization. GMV essentially represents the total order value, including returns and cancellations, simplifying the process of identifying specific metrics and growth opportunities. This article focuses on how e-commerce brands can enhance GMV from first-time buyers. In the next article, we will explore strategies for managing and maximizing GMV from existing customers. After a period of operation, and initially optimizing the key metrics mentioned above, e-commerce brands often encounter the following issues: Despite efforts to further improve these metrics, the effectiveness of these optimizations tends to diminish, making it difficult to achieve significant additional gains Although GMV shows gradual growth, this increase does not necessarily translate into a corresponding rise in final revenue
What is a CDP? Unveiling 2024's Most Common CDP Questions Function
What is a CDP? Unveiling 2024's Most Common CDP Questions

As personalized marketing and customer experience become the focus for brand management in 2024, many brands are actively participating in omnichannel customer data integration and adopting automated marketing solutions. This trend has significantly accelerated the annual growth rate of Customer Data Platform (CDP) usage.
Advanced Web Pop-Up Marketing: Applications and Effectiveness Function
Advanced Web Pop-Up Marketing: Applications and Effectiveness

Web pop-ups are a common interactive element on websites, uniquely characterized by their sudden appearance when a customer visits a site. These pop-ups can be triggered automatically based on user behavior. Typically, they overlay the web page content and can include advertisements, special offer notifications, or message prompts. Traditionally, the use of web pop-ups has been controversial due to concerns about disrupting the user experience. However, when thoughtfully designed and appropriately applied, pop-ups can be a powerful tool to enhance conversion rates, increase subscriptions, and provide a richer user experience.
Why Do Brands Need a CDP? Function
Why Do Brands Need a CDP?

Digital advertising costs are skyrocketing. You've increased your ad budget to attract new customers, but you're left wondering why these potential buyers aren't completing their purchases. At the same time, your e-commerce site's member data and offline orders are stored in different systems, and without a data analyst to help integrate these information, you're stuck with a bunch of member and order data that you don't know how to analyze. To make matters worse, the cost of acquiring new customers is rising, and your churn rate is not getting any better... If these challenges sound familiar, it's time to spend just 5 minutes learning how a Customer Data Platform (CDP) can help your brand overcome these marketing obstacles.
5 EDM Optimization Secrets to Accurately Capture Your Audience's Attention Trends
5 EDM Optimization Secrets to Accurately Capture Your Audience's Attention

In the context of Email Direct Marketing (EDM), brands often spend significant amount of time planning marketing campaigns, designing engaging content, and segment markets for personalized marketing. However, it can get frustrating when open rates and click-through rates still fail to show results despite these significant improvements. What could be going wrong? Upon closer analysis, two possibilities emerge:
3 Key Approaches to Building Membership System for Customer Loyalty Trends
3 Key Approaches to Building Membership System for Customer Loyalty

A membership system is a crucial strategy for enhancing brand loyalty. By offering benefits and incentives, brands can encourage members to increase their purchase intentions and spending frequency. This does not only enhance customer retention but also creates a stable revenue stream for the brand.
How Performance-Driven AI Boosts E-commerce Sales by 80% Function
How Performance-Driven AI Boosts E-commerce Sales by 80%

According to data from Statista Digital Market Outlook, 63.8% of online consumers in Taiwan shop online weekly, and 34.7% purchase groceries and daily necessities online every week. These findings indicate a surge in online shopping frequency, making it a new norm for consumers. Consequently, the focus has shifted from the rational evaluation of product value to emphasis on the shopping and brand emotional experience. In this evolving landscape, the ability of brands to accurately understand and meet individual customer needs through personalized product recommendations has become crucial.
Cultivate High-Loyalty Customers: Essential Segmentation Strategies Trends
Cultivate High-Loyalty Customers: Essential Segmentation Strategies

Creating a great customer experience is one of the key factors for the success of any e-commerce brand. In a highly competitive market, how a brand differentiates itself and attracts target consumers is a critical question that every e-commerce marketer needs to consider. By leveraging the concept of 'personalization segment marketing,' brands can launch more personalized marketing campaigns that spark customer interest and increase loyalty.
In-Depth Analysis of the NASLD Model: Automated Segment Marketing Function
In-Depth Analysis of the NASLD Model: Automated Segment Marketing

With the decline of traffic bonuses and rising marketing costs, establishing a competitive advantage for your brand now depends on developing personalized segment marketing strategies based on diverse member profiles and consumer needs. The NASLD segmentation model, utilized by OmniSegment CDP under beBit TECH, dynamically segments members according to their activity levels. This enables brands to perform in-depth analysis based on member engagement, providing personalized marketing messages that enhance purchasing potential. In this article, we will explore what the NASLD model is, why brands should leverage it to optimize their segmentation strategies, and how to effectively implement the NASLD model into your brand's marketing applications.
RFM Model Analysis: Uncover Valuable Insights with OmniSegment CDP Trends
RFM Model Analysis: Uncover Valuable Insights with OmniSegment CDP

In our previous article, we explored How E-commerce Businesses Can Leverage the RFM (Recency, Frequency, Monetary) Model to Identify and Target High-value Customers. The RFM model categorizes customers into eight distinct groups based on their value, serving as a reference for subsequent strategy and resource allocation. Additionally, RFM analysis can be used to enhance customer loyalty, increase average order value, and boost per capita contribution. In this article, we will focus on how to interpret RFM reports to help brands better execute their customer relationship management strategies.
CDP Implementation: 3 Key Approaches to Evaluation and Integration Trends
CDP Implementation: 3 Key Approaches to Evaluation and Integration

As the traffic dividend fades in recent years, customer management has become a new focal point for brands and marketers. This includes integrating multi-channel sources to build a 360-degree customer profile and providing automated and personalized marketing experiences. According to Adobe's 2023 survey, 47% of brand leaders reported that using a Customer Data Platform (CDP) has strengthened their relationship with customers; 42% indicated that the CDP has increased synergy between marketing and IT teams; and 32% believed that adopting a CDP has more effectively improved their return on investment.
E-commerce Marketing: Identify High-Value Customers with the RFM Model Trends
E-commerce Marketing: Identify High-Value Customers with the RFM Model

In the world of e-commerce, there are always periods of low and high sales. Apart from major sales events and clearance activities, promotional discounts during specific holidays (such as Mother's Day, Singles' Day, and 12.12) often attract significant revenue. However, to reduce the revenue gap between slow and peak seasons, it is essential to systematically enhance customer loyalty and average order value. This ensures that customers' purchasing intent is not limited to major events, promotions, buy-one-get-one-free deals, or site-wide free shipping offers that typically lower the average order value. How can we strategically increase customer loyalty and average order value? The RFM model is the best application model for this.
5 Steps to Enhance Customer Experience and Boost Lifetime Value Trends
5 Steps to Enhance Customer Experience and Boost Lifetime Value

Imagine the following scenario: You walk into a popular restaurant, famished. As soon as you sit down, the waiter throws the menu at you with lightning speed and starts rattling off the descriptions of each dish at a rapid pace. You can barely understand anything due to the fast speech, so you randomly order the signature dish. After waiting for 30 minutes, your meal finally arrives, only to find that the expensive dish is not only scant but also not very tasty. With poor service quality and disappointing food, you start questioning why you chose this 'popular restaurant' in the first place…
Boosting Revenue with the 'Abandoned Cart' Automated Customer Journey! Function
Boosting Revenue with the 'Abandoned Cart' Automated Customer Journey!

After coming home from work, you lie on your bed scrolling through Instagram. Suddenly, you see an ad for discounted cosmetics, and you instantly feel excited. You click into the official website and add the items you want to the cart. Just then, a friend messages you asking if you want to meet up over the weekend, so you switch to Line to start typing your reply…
The E-commerce Secret: 'Abandoned Cart' Automated Customer Journey Function
The E-commerce Secret: 'Abandoned Cart' Automated Customer Journey

Have you noticed that many consumers click the 'Add to Cart' button but then take no further action? It's time to set up an abandoned cart customer journey. By proactively using automated marketing (MA) to communicate in a timely manner, we can successfully encourage consumers to complete their purchases and clear their carts!
OmniSegment CDP: The Most User-Friendly Customer Data Platform Trends
OmniSegment CDP: The Most User-Friendly Customer Data Platform

After understanding the concept of customer management, we recognize the importance of creating a membership loop—ensuring that members keep coming back for more. This approach optimizes the advertising costs spent on acquiring new customers and allows us to re-market using zero-cost first-party data. But what tools can help us achieve this goal? Introducing the star product from beBit TECH—OmniSegment CDP Marketing Cloud (hereafter referred to as OmniSegment or OmniSegment CDP). Let's explore how OmniSegment CDP assists brands in creating more value!
Why Should Marketers Know About CDP: What is a CDP and Its Benefits Trends
Why Should Marketers Know About CDP: What is a CDP and Its Benefits

Imagine you're a brand marketing manager setting next year's goals. You want to review the past year's performance, including new and returning customer revenue, site traffic, and RFM analysis, to evaluate the impact of your membership system. However, data is scattered across GA, CRM, and POS systems, and without engineering support, you can't get a complete picture. Even with an engineer, it might take two weeks to compile.