In the process of WhatsApp marketing, we use various marketing tools to help us quickly attract and acquire customers. Here, we have summarized the most urgently needed WhatsApp filtering software for foreign trade companies in 2024. We hope this is helpful to everyone.What is WhatsApp Filtering Software?WhatsApp filtering software is independently developed by third-party overseas R&D enterprises based on customer needs and WhatsApp's official API documentation. It helps companies quickly generate phone numbers that have WhatsApp accounts and filter out active WhatsApp accounts.Uses of WhatsApp Filtering Software:Automatically generate phone numbers for any country;Detect whether the phone number has registered a WhatsApp account and filter out details such as WhatsApp profile picture, gender, age, and personal signature language.The Best WhatsApp Filtering Software of 2024LIKE.TG WhatsApp Filter, users can scan the QR code to log in to your WhatsApp account or import channel accounts or hash accounts in batches to filter, use your WhatsApp permissions to filter the target phone numbers registered for WhatsApp, and judge gender and age based on WhatsApp avatars. After filtering, you can export .txt/.xls/.xlsx/.vcf files.

Hello，我是乐乐，今天跟大家分享的海外营销干货是，全能王APP为何火爆？随着互联网时代的发展，越来越多的企业都会利用互联网的渠道去推广自己的产品，而利用社交工具营销软件的渠道越来越受到大家的欢迎，它成本低、曝光率极高，传播裂变速度快，大大降低企业的运营成本，以及传统广告所带来的时间冗长、效率低等问题。目前全能王营销系统是被广大国内外品牌在海外主流营销采纳的一种方式之一。 想要whats APP营销软件达到效果，王牌的营销秘籍就是要做到精准的群发，而做到精准群发的前提是你有大量的活跃用户，这时候就需要用到我们全能网APP筛选器，筛选器分两种，一种是初级筛选器，主要是筛选有效的what APP用户，想要哪个国家的APP用户，那么whatsAPP初级筛选器就可以实现你的目标，它可以每秒。1500个号码的筛选速度，筛选到有效whatsapp用户，并且精准度达到95%以上，然后再把这些筛选出来的号码导入到APP高级筛选器进行二次筛选，主要是筛选近期登录的用户，并且还可以抓取对方用户头像进行分类。当你拥有这两个工具的时候，再配合我们全能网APP营销群发系统，植入APK，模拟手机的环境，真是IP运营商自动过滤已经使用过的IP等场景注册账号，而且注册下来的账号是非常抗封锁的，利用这些账号拨开是的批量一对一发送广告曝光率高，营销效果必将事半功倍，立竿见影。以上的这些工具在全球来说目前只有商海客才拥有，他们是独家研发，并且在各个国家拥有非常多的客户，且反馈良好。专注于APP营销已到达五年之久，比国内任何一家的营销软件公司都要更了解客户的需要以及想要解决什么样的问题。为了让大家有更好的效果，还录制了一套详细的what APP营销课程，教会你的不只是APP的基础内容，最重要还有很多的干货，包括如何防止封号，怎么养号，如何撰写有诱惑力的文案。当然在你们选择商海客的全能王APP营销软件后，会有专门的技术人员也会手把手的教会，简单易操作，即使是小白也一样使用。有了营销王牌秘籍，让你在whatsapp营销道路上轻轻松松推广，我们专业从事各种社交软件、whatSapp，飞机 ，zalo等营销多年了，一直在专注研究whats APP营销，所以你有这类的问题联系我们就对了，我们也是最早的一批研究过此APP营销。同时我们把拥有丰富经验和完整操作流程录制成相关视频供客户参考学习，快速扩大自己的业务，令自身的生意具有市场绝对竞争优势，那么本期视频就先到这，感谢观看。

正文: 随着社交媒体的蓬勃发展，WhatsApp作为全球最受欢迎的即时通讯应用之一，为企业开启了与潜在客户建立更紧密联系的大门。借助WhatsApp营销软件，企业可以充分利用这个强大的平台，开拓新的商机，实现品牌的增长和销售的提升。 WhatsApp营销软件为企业带来了许多有益的功能和特点。首先，软件提供了自动化消息发送的功能，企业可以事先设置好消息模板和发送时间，然后软件会自动按计划发送消息，节省了人工操作的时间和精力。其次，软件支持群发功能，企业可以一次性发送消息给多个潜在客户，快速扩大品牌的曝光度和影响力。此外，软件还具备目标用户筛选的功能，企业可以根据特定的标准，如地理位置、年龄、兴趣等，将推广信息发送给真正感兴趣的用户群体，提高推广效果和转化率。 利用WhatsApp营销软件开拓新商机具有许多优势。首先，WhatsApp拥有庞大且活跃的用户群体，使得企业可以触达更多潜在客户，提高品牌的知名度和曝光度。其次，通过WhatsApp的即时通讯功能，企业可以与客户建立更加亲密和及时的沟通，增加用户的忠诚度和信任度。此外，由于WhatsApp营销软件的使用成本相对较低，企业可以以较小的投入获得更高的回报。 要实现WhatsApp营销软件的成功应用，企业需要制定一套明确的策略和计划。首先，企业应了解目标受众的需求和偏好，以便更好地定位推广信息和内容。其次，企业需要确保推广信息的独特性和吸引力，通过精心设计的文案和图片引起用户的兴趣。最后，与用户的持续互动和沟通是至关重要的，企业应及时回复用户的咨询和反馈，建立稳固的客户关系。 WhatsApp营销软件为企业带来了连接商机的无限潜力。在这个数字化时代，随着技术的不断发展，我们应充分利用这个强大的工具，将其融入 到营销策略中，为企业的增长和成功铺平道路。通过WhatsApp营销软件，企业可以与潜在客户建立更紧密的联系，开启更多商机的大门。 -->

As we all know, social software has been an indispensable tool for overseas traders to promote and develop clients.With the continuous development of science and technology, social software has emerged one after another.In China, Tencent is the "big brother" in social networking, using QQ before and now wechat. Wechat currently has 1.4 billion users, but with that many users, wechat could hold on to third place. The number one social software in the world is WhatsApp, which is owned by Facebook.Foreign traders are increasingly chatting on WhatsApp to conduct transactions, check inventory, track logistics information and receive arrival notifications. How popular is WhatsApp? It has more than 1.5 billion users worldwide and is available in more than 200 countries. This is a truly "world class" chat app. Wechat also has 1.4 billion users, more than half of them within China. The best thing about WhatsApp is its simple interface and ease of use. To register, simply enter your mobile number and accept a confirmation message.WhatsApp filter will also automatically add contacts to your phone. It's worth noting that WhatsApp was earlier than wechat. WhatsApp was born in 2009. The founder was Jan Koum. The ability to select "Meeting" in the address book, or select other status alerts, was not initially replaced by users. What inspired him was Apple's new message notification feature in iOS 3, which gave him the idea of being able to send messages anywhere, anytime, and now WhatsApp.Brasilia (Reuters) - Brazil's central bank will approve payment systems including Facebook-owned WhatsApp chat service, central bank official Joao Manoel Pinho de Mello said. Allow users to send and receive payments via chat, subject to compliance. In Brazil, the chat payment feature was implemented using Facebook Pay.Since then, in Zuckerberg's own words, WhatsApp users in Brazil have used WhatsApp to do the same thing as transferring photos on WhatsApp. So we are sending money to each other. Brazil has a population of 210 million and 120 million monthly active WhatsApp users, suggesting a very high penetration rate. For now, the service is aimed at sending money between individual users in Brazil, and it's free. A 3.99% fee is charged for business accounts.Users who want to use WhatsApp for their first payment need to link a credit or debit card with WhatsApp from Brazil's three biggest banks, Banco do Brasil, Nubank and Sicredi. After the binding is successful, the user can easily complete the transfer business using a six-digit mobile phone password or fingerprint. Setup and use process and domestic wechat exactly the same, simple and direct.People can choose whatever channels and projects they like, as long as they follow the rules, "Pinho de Mello said in a speech at an online event held by Genial Investimentos, an online financial advisory platform in Brazil. Brazil's central bank announced last month that it would shut down WhatsApp's new payment service, citing data protection and competition laws.Facebook has repeatedly stated that its payment service in India will launch soon. I think they really thought the Reserve Bank of India (RBI) would allow deployment soon. In fact, the Libra event in 2019 will only backfire on Whatsapp Pay's entry into India.In early February 2020, the Reserve Bank of India's National Payments Corporation of India (NPCI) finally gave Whatsapp its long-awaited approval. Approval is in the form of a no objection letter (NOC). Soon, however, there was local opposition to Whatsapp in the market, with Facebook and RBI remaining silent.Look at the way Mr Bezos was treated in India last month and you can probably see why.India is Whatsapp's largest market, with more than 400 million active users. In addition, Whatsapp Pay can be linked to cards and deductions and payments can be made through UPI.

导语：在如今的数字时代，YouTube已成为全球最受欢迎的视频分享平台之一。如果你还没有自己的YouTube账号，那么现在是时候注册一个了！本文将为你介绍如何简单快速地注册YouTube账号，并开始在这个平台上享受分享和观看视频的乐趣。 1. 访问YouTube网站：首先，在你的浏览器中输入"www.youtube.com"，访问YouTube官方网站。 2. 点击“登录”：在YouTube网站右上方，你将看到一个“登录”按钮。点击这个按钮，进入登录页面。 3. 创建新账号：在登录页面的下方，你将看到一个“创建新账号”选项。点击这个选项，开始注册一个新的YouTube账号。 4. 填写个人信息：在新账号注册页面上，你需要填写一些个人信息，如电子邮件地址、用户名和密码。确保提供准确的信息，并选择一个易于记住的用户名和安全的密码。 5. 验证身份：完成个人信息的填写后，YouTube可能会要求你进行身份验证。这可以通过提供你的手机号码，并接收验证码来完成。 6. 设置账号偏好：接下来，YouTube会要求你设置一些账号偏好，例如语言和国家/地区。根据你的喜好进行选择，并点击“保存”。 7. 接受服务条款：在注册过程的最后阶段，你需要仔细阅读并接受YouTube的服务条款和隐私政策。确保你理解并同意这些条款后，点击“接受”。 8. 欢迎来到YouTube！现在，你已成功注册了一个YouTube账号。你可以开始个性化你的账号设置，关注你感兴趣的频道和用户，并开始上传和分享视频。 结语：注册YouTube账号并不复杂，只需要简单的步骤就能完成。通过访问YouTube网站，点击“登录”并选择“创建新账号”，填写个人信息并验证身份，设置账号偏好并接受服务条款，你就可以顺利注册一个属于自己的YouTube账号。注册完成后，你将进入YouTube的世界，尽情享受观看和分享视频的乐趣。 -->

With the continuous emergence of various social software abroad, the popular WhatsApp among social media platforms has become an indispensable marketing tool for Internet practitioners going overseas. For those marketers who seek to acquire accurate customers in a highly competitive market, accurately finding users is really an important task. Fortunately, now with WhatsApp Filters, it will become your right-hand man and make your marketing activities more effective!Let's explore the features of WhatsApp Filters in depth. This software can not only quickly detect whether the number has been registered with WhatsApp software, but also accurately display whether the target user has uploaded his profile picture and signature. You can also upload numbers, or customize the global number generation function to improve the filtering accuracy. In addition, the software also supports judging the user's age based on the user's avatar signature, so that you can find more suitable potential customers. Moreover, it also has automatic screening function to make your screening process more efficient!Through WhatsApp Filters, you will more accurately acquire potential customers on WhatsApp, which will bring huge benefits to your marketing efforts. potential customers who are really interested and in demand, and increase the conversion rate!

As the world's largest social media website, Facebook has a very large number of users. Users from many countries around the world share what they see and hear on Facebook. There are also many business companies that publish some marketing content on Facebook. , attracting users’ attention.If we are engaged in cross-border foreign trade, we must not miss traffic platforms like Facebook. However, if we want to quickly obtain user resources, we must use Facebook mass sending software to send some marketing information in batches to achieve full advertising coverage, so that we can be Users are more likely to see it, and then there will be user inquiries.There are many third parties on the market that make Facebook group sending software. When choosing Facebook group sending software, we can consider the following points;1. Is the software reliable?After all, we are going to use software, so we definitely need to use formal mass-sending software developed by a third party. Otherwise, your Facebook account will be blocked as soon as you log in. How can we carry out marketing activities, and registering a Facebook account now is also quite troublesome.2. Software efficiencyCompare the sending speed and efficiency of different software and choose software that can send messages quickly and in batches. At the same time, factors such as the memory usage and stability of the software must also be considered.3. Whether it supports personalized needsAccording to your individual needs, choose Facebook group messaging software that supports customized settings and functions. You can customize sending strategies and content according to your needs to improve the accuracy and effectiveness of mass sending.CrowSoft Facebook Software is a comprehensive Facebook marketing software with full functionality. The software supports fully automated operations through scripts, allowing for batch management of Facebook accounts for marketing, traffic generation, and customer resource acquisition.

Informatica, one of the key players in the data integration space, offers a comprehensive suite of tools for data management and governance. However, for reasons such as cost, complexity, or specific feature requirements, users often seek alternative solutions. In this article, we are going to explore the top 10 Informatica alternatives so you can select the best data integration solution for your organization. But before we get to it, let’s quickly get the basics out of the way and understand why there is a need for an alternative data integration solution to Informatica. What Is Informatica? Informatica is an enterprise-grade data management platform that caters to a wide range of data integration use cases, helping organizations handle data from end to end. The services it provides include data integration, quality, governance, and master data management, among others. The overall goal is to combine company-wide data into a single source of truth for BI, reporting, and analytics. Key Features of Informatica Informatica offers several features that help users with their data management and integration projects. Some of its features include: Database Management Like other data management and integration platforms, Informatica enables users to connect to and integrate data from diverse databases, for example, Oracle, SQL Server, etc. It uses the metadata-driven approach to optimize performance, streamlining the overall database operations. Data Transformation Putting aside the fact that it’s not 100% no-code, Informatica offers a rich set of transformations. These include aggregator, data cleanse, data masking, filter, to name a few. Orchestration Informatica’s Data Integration Hub makes the best use of its orchestration capabilities, coordinating data movement across different systems and applications. API Integration Besides ETL, Informatica also offers API integration features that facilitate interaction between applications and services. Access Control Informatica enables users to fine-tune access controls and manage permissions for data sets. They can also set permissions on database, domain, and security rule set nodes to authorize users to edit the nodes. Data Security As far as security is concerned, Informatica employs a range of measures tailored to its suite. These include target database credential management, encryption, access controls, and data masking. So, if the platform offers such a vast set of features, why should users then consider the different Informatica alternatives, or competitors for that matter? Let’s find out. LIKE.TG—One of the Best Alternatives to Informatica for Data Integration Looking for a powerful yet easy-to-use alternative to Informatica for data management and integration? Look no further. Try LIKE.TG. Learn More Why Consider Informatica Alternatives for Data Integration? Informatica has established itself as a key player in the data management and integration space. However, this feat is not enough for companies in today’s rapidly evolving business landscape, especially if we consider the increasing number of new SaaS startups. These businesses need dynamic solutions that are: The best fit for their use case Easy to implement, learn, and use Economical with transparent pricing Committed to exceptional customer support Additionally, with the global data integration market size set to reach USD 39 billion by 2032, numerous opportunities for innovation and growth exist, particularly in areas like real-time data integration, data quality and governance, and the integration of unstructured data and emerging technologies, making space for new players to enter the market. This means that the consumers now have a myriad of options to choose from. Here are some reasons why an Informatica alternative could make more sense for your business: Cost Considerations While informatica offers a breadth of products and services, sometimes it becomes a simple case of getting overwhelmed and paying for features that users will hardly ever use. Additionally, Informatica is relatively more expensive when compared to other options, such as LIKE.TG. The already complex pricing structure lacks transparency and their website does not offer full pricing information. Its implementation requires significant investments in hardware and infrastructure, making the overall total cost of ownership (TCO) much higher—even in the long run. High Complexity Another major challenge with Informatica is its complexity—this is more of an inherent issue with the platform. The platform is so vast and complex to use that at times even the Informatica-certified data professionals face challenges. This is primarily due to its different modules/services using vastly different user interfaces (UI). Specialized Use Cases An organization that has a highly specific use case might find that an alternative solution is better aligned with its needs. While Informatica is a comprehensive and versatile platform, its extensive feature set may include functionalities that might be unnecessary or less relevant to their unique use case. It’s like choosing a general-purpose tool with a wide range of features instead of a precision tool for a specialized job. Resource-Intensive Informatica, especially its PowerCenter, is very resource-intensive compared to its competitors, requiring significant processing power and memory. However, the performance is still not comparable. Based on reviews on popular channels, such as G2, Gartner, etc., users have frequently reported performance issues and slowdowns, raising several eyebrows. Top Informatica Alternatives to Consider in 2024 LIKE.TG LIKE.TG is an end-to-end, automated data management and integration platform powered by artificial intelligence (AI). It features a truly unified, 100% no-code UI that delivers consistent user experience across all its products. The tool enables users of all backgrounds to build their own data pipelines within minutes. LIKE.TG Data Stack The platform stands out by offering a flexible and cost-effective approach to meet the unique needs of every business. Unlike Informatica’s rigid pricing structures, LIKE.TG allows you to collaborate with their expert data solution team and cherry-pick the modules that align precisely with your use case. This ensures that you pay only for the functionalities that are essential to your operations. LIKE.TG includes: ReportMiner for unstructured data extraction in bulk Centerprise for data integration and building data pipelines Datawarehouse Builder for data warehousing EDIConnect for EDI management API management for designing, testing, publishing, and monitoring APIs The platform offers several features that easily make it one of the best Informatica alternatives. For example, with LIKE.TG, you can: Establish native connectivity to a range of data sources and destinations, both on-premises and cloud-based. Transform and shape your data the way your business needs it using pre-built transformations and functions. Build ETL and ELT pipelines without writing a single line of code. Ensure only healthy data makes it to your data warehouses via built-in data quality management. Automate and orchestrate your data integration workflows seamlessly. LIKE.TG—One of the Best Alternatives to Informatica for Data Integration Looking for a powerful yet easy-to-use alternative to Informatica for data management and integration? Look no further. Try LIKE.TG. Learn More Talend (acquired by Qlik) Talend is another data management solution that enables businesses to drive their BI and analytics. Talend’s Data Fabric is a cloud-independent platform covering the entire data lifecycle. It features data preparation, transformation, integration, as well as data quality and governance. Pros Enables users to build ETL pipelines and move data from a myriad of sources. Offers built-in transformations, including unions and joins. Offers an open-source version, making it accessible to a wide range of users and organizations. Cons Despite a visual interface, mastering all the features and capabilities takes considerable time. It’s not a completely no-code solution. Some users have reported performance issues with Talend, particularly when dealing with large datasets or complex transformations. Real-time processing capabilities are not as robust compared to some other data integration tools. Some important features, such as scheduling, are only available in the enterprise version that comes with a premium price tag. Given the limitations, and its recent acquisition, many are actively looking for Talend alternatives. Alteryx Alteryx offers a solution that allows users to access, manipulate, and analyze data without coding. It enables users to connect to a wide range of data sources and ETL data in a visual, drag-and-drop environment. Pros Its user-friendly interface makes it easy to use for most users. It excels in data blending and preparation, allowing users to clean, transform, and combine data from various sources. Multiple users can take advantage of the workflows by using the server instead of purchasing multiple individual licenses. Cons While Alteryx offers a capable reporting ability, it’s not as versatile as other competing solutions, such as Power BI. Applying logic is limited to columns—users have to work around when working at the record/cell level. Error-handling, while available, doesn’t provide greater visibility into dataflows. Additionally, users report that the error messages can be vague. Oracle Oracle Data Integrator (ODI) enables data movement and transformation in bulk. It’s primarily an ELT platform that is highly interoperable with other Oracle programs, making it a great Informatica alternative for businesses that have invested in other Oracle products and services. Businesses can use ODI with GoldenGate and unify data loading with synchronization, keeping their data warehouses up to date. Pros A great addition to technology stacks that already include other Oracle products as it integrates seamlessly within the Oracle ecosystem. Simple and straightforward UI makes it easy to use and navigate. Most use cases can be catered to in a single interface without having to switch between multiple interfaces. Cons While the tool is generally easy to use, it’s not particularly intuitive, especially when troubleshooting. The price can be prohibitive as the TCO in the long run is higher compared to competition. User review sites report frequent performance issues and suboptimal customer support, especially when it comes to Oracle Data Integrator. SnapLogic SnapLogic is an iPaaS that offers application, data, and cloud integration for enterprises. Like other tools, SnapLogic also relies on low-code/no-code approach to fast-track application and data integration. Pros Offers a dashboard to monitor configured pipelines and integrations easily. Powered by a visual UI that’s simple and easy to use and navigate. Provides support for real-time integration, as well as batch processing. Cons Users have reported that the resource utilization is not accurately displayed on the dashboard. The support for XML files is limited, especially the ones with mixed content. While it sports a visual UI, it’s not one of the most intuitive ones. Error-handling and available documentation lack depth. Ab Initio Ab Initio is an enterprise-level self-service data platform offering a range of capabilities, including batch and real-time data integration, BI and analytics, automation, as well as data quality and governance. Pros Ab Initio’s end-to-end graphical development makes it simple for users to easily process data. The ability to handle very large data sets—users can process billions of records in minutes. Overall, a feature rich ETL platform powered by parallel processing. Cons One of the biggest downsides of Ab Initio is the significant upfront licensing and infrastructure cost. While its graphical development environment is based on the low-code approach, it still has a steep learning curve for new users. Requires databases running in the background on the servers to function, adding to the already expensive solution. IBM InfoSphere DataStage IBM’s InfoSphere DataStage is a data integration platform used to design, develop, and run workflows that transform and move data. At its core, it’s an ETL tool that leverages graphical notation to build data integration solutions. Pros The solution offers high availability ands scalability—users can use multi-instance jobs that scale easily. Users can leverage complex transformations without having to write code. Metadata and data quality features are built into the solution. Cons Compared to its competitors, IBM InfoSphere DataStage is a more expensive solution. The initial setup being a complex process and the UI not being as user-friendly as the competition make it hard to justify the higher price point. Some processes can be time-consuming, for example it takes a lot of time to trigger jobs and then view logs. AWS Glue AWS Glue is another Informatica alternative, which is a serverless data integration solution offered by Amazon as part of Amazon Web Services (AWS). The overall goal with AWS Glue is to make data preparation faster and cheaper for machine learning (ML) and analytics. It does so by simplifying data integration by modernizing the ETL process using automatic provisioning and worker management. Pros AWS Glue offers a user-friendly UI that’s simple and intuitive, keeping the initial learning curve smooth. Pay-as-you-go pricing structure ensures businesses only pay for what they need. It also eliminates the need to provide capacity in advance, which simplifies scheduling. Offers advanced users the ability to create ETL scripts with custom endpoints. Cons While the UI is user-friendly, it’s not entirely beginner friendly. Some tasks will require Python and Scala expertise. While is offers support for creating ETL scripts, only two programming languages are supported: Python and Scala. AWS Glue works flawlessly as long as the user works within the AWS ecosystem. Integrating with platforms outside of Amazon is tricky. Microsoft SQL Server Integration Service As the name suggests, Microsoft SQL Server Integration Service (SSIS) is a service in Microsoft’s SQL Server software that can be used to integrate data from multiple sources. It allows users to build ETL-based enterprise-grade data integration and transformation solutions. Being Microsoft’s own service, SSIS offers superior interoperability for businesses that have invested in Microsoft’s other services, making it a great Informatica alternative. Pros Included with SQL Server licenses, making it a cost-effective option for smaller organizations already invested in the Microsoft ecosystem. Drag-and-drop interface and tight integration with SQL Server make it user-friendly for beginners and experienced developers alike. Can scale to handle large data volumes by utilizing multiple servers and parallel processing. Cons Due to limited availability of pre-built connectors, it requires scripting or custom development for some data sources and formats. Some cases require investment in additional tools due to its limited data transformation capabilities. The visual representation in the IDE sometimes does not adequately reflect the underlying code, making code review and collaboration challenging. Integrate.io Integrate.io is another Informatica alternative for businesses looking to integrate data via ETL, ELT, and CDC. It’s a cloud-based data integration platform that may be a fit for businesses of all sizes, depending on the use case. Like other visual data integration platforms, Integrate.io also offers similar features, such as pre-built connectors, transformations, etc., making it easy to use for users with varying technical expertise. Pros Offers transparent pricing based on the number of connectors used, eliminating the complex and often expensive licensing fees. Provides enterprise-grade transformation capabilities that are easy to work with. Responsive customer support that’s available 24/7 in all time zones. Cons Debugging can be a challenge, especially when fault records lack granularity and error logs lack specificity. While it offers a transparent pricing model based on flat rate pricing, the yearly costs can turn out to be higher than the alternatives. Even though the platform is low-code, the UI can be challenging for businesses without dedicated technical teams as the complexity of integrations increases. Simplify and Accelerate Data Integration With LIKE.TG Build a connected enterprise data architecture with a 100% no-code platform that simplifies and accelerates data integration. Download Free Trial Here’s Why LIKE.TG Is the Best Informatica Alternative The decision to opt for a data integration solution is not straightforward since most solutions offer similar features and cater to a wide range of use cases. Ultimately, it comes down to an organization’s unique requirements, including data volume and variety, integration complexity, desired level of data automation, security requirements, budget constraints, and future scalability, and how these requirements align with the capabilities and limitations of available solutions. In other words, it’s about finding the perfect fit. In this context, LIKE.TG stands out from the abovementioned Informatica alternatives as it offers a complete data integration and management suite with a unified user interface that delivers consistent experience throughout. This means that the platform can be used by business and technical users alike. Here are some more reasons to consider LIKE.TG as an alternative to Informatica: Simple and straightforward initial setup process significantly reduces the time required for solution deployment. 100% no-code, visual drag-and-drop UI keeps the learning curve short and smooth. Parallel processing ETL/ELT engine delivers superior performance even when dealing with high volume data sets. Pre-built connectors for a breadth of data source types, including file formats, databases, data warehouses, applications, cloud storages, web services, and file providers. The ability to instantly preview data at every step of the process with a couple of clicks. LIKE.TG offers the capability to build an entire data warehouse from scratch without writing a single line of code. The ability to build a custom connector for the required source or destination seamlessly. Proactive customer support that’s available round the clock regardless of geographic location. Don’t overpay for complexity. Get more for less with LIKE.TG. Download a 14-day free trial to get started today. Alternatively, you can get in touch with us directly at +1 888-77-LIKE.TG, where one of our data solutions experts will be happy to assist you with your use case.

WhatsApp marketing is a common global marketing strategy. Leveraging the large number of WhatsApp users and its wide regional coverage, many marketers engaged in global marketing prefer to use this software to assist in their marketing operations.Unlike other social software, WhatsApp also has many related auxiliary tools that can help marketers quickly complete marketing operations. Today, we recommend a WhatsApp number checking tool to help achieve high-quality marketing.Today, we bring you a tool that can achieve 100% accuracy in number checking—LIKE.TG Check WhatsApp Number Tool. This tool helps us check the information corresponding to phone numbers, assisting us in more precise marketing operations.The main function of this software is to check the user's relevant information based on their phone number, such as whether the phone number is registered with a WhatsApp account, the user's avatar, the user's signature, and the user's age, gender, and language inferred from this information.Obtaining such information is greatly beneficial for our marketing. For example, if we want to improve our marketing accuracy and success rate, we can make judgments based on the user's age, gender, and language. The user lists obtained in this way generally yield better results than normal randomized marketing.As for the 100% accuracy mentioned above, it is because this software fully utilizes WhatsApp's official interface. By importing or generating phone numbers and logging into your own WhatsApp account, the software will automatically use the official method of finding friends to retrieve data, achieving highly accurate user information retrieval!LIKE.TG Check WhatsApp Number Tool allows users to scan QR codes to log into their WhatsApp accounts or import channel accounts or hash accounts in batches for filtering. It utilizes WhatsApp permissions to filter phone numbers registered with WhatsApp and provides insights such as gender and age based on WhatsApp avatars. Post-filtering, you can export the data in .txt/.xls/.xlsx formats.

In today’s dynamic digital landscape, WhatsApp has emerged as a powerful platform for businesses to engage with customers, drive sales, and build brand loyalty. However, navigating the complexities of WhatsApp marketing comes with its own set of challenges. From reaching the right audience to maintaining engagement and ensuring compliance with regulations, marketers often face various hurdles along the way. In this comprehensive guide, we’ll delve into 11 common WhatsApp marketing challenges that businesses encounter and explore the innovative solutions offered by LIKE.TG. Whether you’re struggling to grow your subscriber base, optimize your messaging strategy, or measure the effectiveness of your campaigns, we’ve got you covered. Join us as we uncover practical tips, best practices, and real-world examples to help you overcome obstacles and elevate your WhatsApp marketing efforts to new heights. 01 WhatsApp Account Service Challenge: WhatsApp accounts serve as the foundation for social sales teams to engage in deep communication with customers. However, acquiring bulk WhatsApp accounts is not an easy task, and the risk of account suspension during usage is increasingly high. The process of registration, warming up, and account recovery demands significant investment of manpower, resources, and finances from businesses. This initial operational phase not only incurs high costs and time consumption but also drains team members’ energy and affects overall progress. Solution: LIKE.TG introduces a comprehensive account registration, warming up, and recovery service, enabling businesses to reduce time and resource investments at every stage of account preparation. With our expertise, businesses can bypass the challenges involved in the account registration process and swiftly utilize accounts to their advantage. By leveraging our service, businesses can efficiently navigate the complexities of WhatsApp account management, ensuring a seamless and productive social sales experience. Click to get more details about the WhatsApp Account Service 02 Multi-Account Login for WhatsApp Challenge: The number of WhatsApp accounts that can be logged in on a single device is limited. For marketers or salespeople who manage multiple accounts, using multiple devices is not only costly but also cumbersome, making customer communication inconvenient. Solution: LIKE.TG’s WhatsApp Social CRM supports various device types such as mobile phones, Windows systems, and Mac computers, ensuring complete isolation and non-interference between different accounts. Users no longer need to carry multiple heavy devices, allowing businesses to save time and costs while enhancing communication efficiency with customers. With our solution, businesses can seamlessly manage multiple WhatsApp accounts across different devices, streamlining operations and improving overall productivity in customer communication. 03 Design and schedule automated messages Challenge: When businesses need to communicate with multiple clients at specific times, manually sending messages one by one not only proves inefficient but also prone to errors. Solution: LIKE.TG’s WhatsApp marketing system, developed in-house, offers various mass messaging features. For businesses, this means reaching out to clients in bulk, diversifying content formats, and minimizing restrictions for seamless interaction. Additionally, leveraging customer profile labels allows for personalized mass marketing, enabling businesses to achieve tailored content marketing for each individual client. By utilizing our platform, businesses can efficiently engage with their clients, ensuring effective communication and personalized marketing strategies. 04 WhatsApp Group Invitation Service Challenge: Having a large number of WhatsApp numbers for target customers but struggling to reach them quickly in bulk. Solution: LIKE.TG’s Group Invitation Service allows you to swiftly create large groups of up to thousands of members. Simply provide us with the list of your target customers’ numbers, and we’ll handle the rest. Once the group is created, you can share your marketing content within it, facilitating rapid and bulk outreach to your leads. Simply provide us with a list of phone numbers for your group members, and we’ll create WhatsApp groups for you with all those contacts added in. You can then share your marketing content within the group. Take advantage of our service to efficiently reach your audience and promote your business on WhatsApp! Price: $0.14/ member Options: 100-Member Group 260-Member Group 500-Member Group 1000-Member Group 05 WhatsApp Quick Reply Templates Challenge: In many customer communication scenarios, the responses to customers’ inquiries are often repetitive. Editing standard responses one by one for similar customer queries can be time-consuming and inefficient, especially in customer service situations. Solution: LIKE.TG has introduced the Quick Reply Templates feature, allowing for client-side and backend importation, grouping, and addition of image files. With this feature, repetitive editing of the same issues is avoided, and responses to customer messages can be sent with just one click, efficiently addressing customer inquiries. 06 WhatsApp Auto Reply Challenge: In addition to quick replies, there is a strong demand for automated replies based on customer needs. For instance, promptly responding to customer inquiries during non-business hours or providing brief introductions based on keywords can enhance customer satisfaction, retain customers, avoid resource wastage, and save communication personnel’s energy. Solution: LIKE.TG’s system features intelligent auto-reply functionality, allowing users to set keywords and corresponding responses in the backend. When triggered by keywords during customer communication, the system automatically replies. Users can also easily toggle the auto-reply feature on and off as needed, providing flexible operational management. 07 WhatsApp Channel Distribution Challenge: Besides managing multiple accounts, channel distribution is another method to mitigate the risk of account suspension. In many scenarios, using a single account to handle customer inquiries may result in overwhelmed response times and low communication efficiency, posing a high risk of account suspension. Solution: LIKE.TG’s Live Link feature, one of the tools for WhatsApp anti-block, offers a free basic version. With Live Link, you can guide customers to communicate with multiple WhatsApp accounts through a single link without affecting their communication experience. This helps businesses reduce the risk of account suspension. Even if some accounts are suspended, it won’t lead to a failed lead capture. Moreover, it reduces the pressure on each account’s response team, effectively achieving channel distribution. With Live Link, businesses can efficiently manage customer communication and mitigate the risk of account suspension. 08 WhatsApp Dynamic Group Allocation Challenge: Similarly, in many cases, redirecting customers to specific groups requires efficient customer allocation. Solution: LIKE.TG’s Live Link feature is equally effective for group redirection. Using a QR code or link, you can direct customers to different groups, avoiding issues such as failed lead capture due to group restrictions. 09 Chat History Backup Challenge: Saving communication exchanges with customers is crucial during client interactions. Losing chat history can significantly impact the progress of transactions. In cases of account suspension or employee departure, valuable communication records with customers may be lost, causing complications for future conversions. Solution: The chat backup feature ensures the retention of WhatsApp communication data in the backend. In the event of accidental deletion, messages can be promptly recovered from the backend. Whether facing account suspension or needing to follow up with clients after an employee’s departure, access to previous communication exchanges facilitates seamless collaboration for business personnel. With chat backup functionality, businesses can safeguard critical communication records and ensure continuity in client interactions. 10 Data Masking Challenge: Customer data is a vital asset for business personnel and enterprises. Once leaked, it not only compromises the customer experience but also jeopardizes potential business opportunities. Moreover, the loss of such critical data assets can significantly impact business operations and conversions. Solution: The Data Masking feature involves hiding certain customer information on the frontend interface. This approach not only facilitates seamless customer communication for business personnel but also mitigates the risk of data loss. For enterprises, it serves as a preventive measure against unauthorized transactions and ensures compliance with privacy regulations.

WhatsApp, as a widely used instant messaging application, can not only be used for daily social communication, but is also a powerful tool for business marketing and promotion. In today's digital age, WhatsApp marketing has become an important tool for many businesses to attract customers, promote their products and provide customer service. In this article, we will introduce the 11 main ways of WhatsApp marketing to help companies make full use of this platform to drive business growth.1. Create a business accountThe first step is to sign up for a WhatsApp account dedicated to business purposes. Make sure the account has clear business information and contact details so that customers can easily find your business and learn about your services.2. Regular updates and push messagesUse WhatsApp to send regular updates, special promotional information, new product introductions, etc. to your customers. Keep interacting with your customers, but avoid excessive pushing of information so as not to disturb your customers and build a good customer relationship.3. Create Customer GroupsCreate customer groups in order to communicate specific information to a group of customers, such as new product introductions, special promotions, and so on. This way you can deliver information more directly and efficiently to attract customers' attention.4. Using Broadcast ListsCreate broadcast lists to send messages to multiple recipients while protecting the privacy of each recipient. Ensure compliance with appropriate laws and regulations and privacy policies to build trust and transparency.5. Provide customer serviceUse WhatsApp as a customer service channel for customers to inquire, ask questions, and get help via WhatsApp. Respond quickly to customer needs and improve customer satisfaction.6. Sharing multimedia contentUse WhatsApp to share engaging multimedia content such as images, videos, audios, etc. to catch users' eyes and pique their interest to strengthen brand image.7. Integrate links and CTAsAdd links and clear call-to-actions (CTAs) in WhatsApp messages to guide customers to further actions such as visiting websites, booking products, etc. Increase user conversions and engagement.8. Use WhatsApp advertising servicesMake full use of the advertising services provided by WhatsApp to push advertising messages to specific audiences in a targeted manner to expand brand exposure and reach.9. Conducting questionnaires and feedback collectionSend questionnaires to customers via WhatsApp to collect feedback and opinions to improve products or services. Understand customer needs and improve product quality.10. Utilize WhatsApp for Business toolsMake full use of WhatsApp for Business tools, including autoresponders, shortcut replies, analysis tools, etc., to help companies conduct marketing and customer service more effectively and improve efficiency.11. Integrate with other social mediaIntegrating WhatsApp with other social media platforms enables customers to access more information through WhatsApp, for example, by scanning QR codes or clicking on links to directly interact with the business, extending the brand's online presence and influence.In conclusion, WhatsApp marketing is an important part of modern business marketing strategy. Enterprises should fully understand the functions and features of WhatsApp, combine creativity and appropriate strategies, and flexibly utilize WhatsApp marketing methods in order to promote business growth, strengthen customer relationships, and enhance brand image.

Managing data effectively is a multi-layered activity—you must carefully locate it, consolidate it, and clean it to make it usable. One of the first steps in the data management cycle is data mapping. Data mapping is the process of defining how data elements in one system or format correspond to those in another. Data mapping tools have emerged as a powerful solution to help organizations make sense of their data, facilitating data integration, improving data quality, and enhancing decision-making processes. In this blog, we will explore the top data mapping tools in the market and how you should select the right one for your business. What is Data Mapping? Data mapping connects data elements from one data source to another. It defines how data fields in one system correspond to fields in another, allowing smooth data exchange between the two. Data mapping starts with identifying data sources and target systems, like databases or APIs, and analyzing their structures to establish mapping rules for transforming and transferring data. It involves examining data fields in the source system, such as customer ID, and finding commonalities among these fields, for example, identifying that ‘Customer ID’ in the source system corresponds to ‘Client Number’ in the target system. This way, data mapping defines how data from these source fields will be mapped or transformed to match the format and structure of the target system, ensuring seamless data integration between various applications, databases, platforms, etc. Importance of Data Mapping in Data Integration Data mapping facilitates data integration and interoperability. It allows businesses to break down data silos by combining data from multiple sources, such as customer relationship management (CRM) systems, enterprise resource planning (ERP) systems, and third-party data providers, to create a unified view of their operations. This unified view provides organizations with a single source of truth (SSOT), offering a holistic understanding of their business processes to identify areas for improvement and drive operational efficiency. Another benefit of data mapping in data integration is improved data quality management. When data is mapped correctly, it ensures that the integrated data is accurate, complete, and consistent. This helps avoid data duplication, inconsistencies, and discrepancies that can lead to costly errors and operational inefficiencies. With high-quality data, organizations can make more reliable decisions, identify trends, and better understand their business operations. Your complete guide to code-free data mapping Download eBook What are Data Mapping Tools? Data mapping tools are software applications or platforms that facilitate the process of transforming data from one format, structure, or source to another. These tools are used to establish a connection between different data sources, such as databases, files, or APIs, and then define how data should be extracted, transformed, and loaded (ETL) to meet specific requirements. Data mapping tools are commonly used in various industries and scenarios, such as data warehousing, business intelligence, data migration, and application integration, to ensure that data flows easily between different systems and is in the right format for analysis, reporting, or storage. Importance of Having the Right Data Mapping Tool for Your Enterprise While data mapping can be done manually, it becomes a time-consuming and error-prone task as the complexity and volume of data increase. This is where data mapping tools come into the picture. Having the right data mapping tool is crucial for efficient data integration. It simplifies and automates the process, reduces manual effort, and ensures accurate mapping between data sources. Modern data mapping tools provide a visual interface, making it easier for business users to understand and manage the data mapping process. Key Features of An Effective Data Mapping Tool Effective data mapping tools possess certain key features that make them invaluable to businesses. These features ensure that the data mapping process is efficient, accurate, and reliable: Intuitive User Interface: A user-friendly interface ensures data mapping is a straightforward and streamlined process, even for users with limited technical expertise. Business users can easily define mapping rules, transform data, and validate mappings. Data Compatibility: Top data mapping tools support various data formats, including XML, CSV, JSON, and more, allowing you to integrate multiple systems and applications without compatibility issues. Advanced Mapping Capabilities: Data mapping tools offer advanced mapping functionalities, such as conditional mapping, transformation rules, and automated data validation. These capabilities enable businesses to handle complex data mapping scenarios and ensure data accuracy and consistency. Data Governance: Data mapping tools provide features for data governance, including version control and data quality monitoring. These features help businesses maintain data integrity, track data changes, and ensure compliance with data governance policies and regulations. Integration with Existing Systems: Integrating existing systems, databases, and applications is crucial for seamless data mapping implementation. Effective data mapping tools offer integration capabilities that allow businesses to connect and map data between different systems, ensuring smooth data flow and synchronization. Instant Data Mapping Preview: Modern data mapping tools enable you to see how your data will change in real-time in the design stage, ensuring it’s accurate and error-free before proceeding. Top 12 Data Mapping Tools Whether you are a small startup or a large enterprise, finding the right data mapping tool is essential for efficient data management. Here are the top 12 data mapping tools: 1. LIKE.TG LIKE.TG is an enterprise-grade end-to-end data management platform offering organizations various no-code solutions, including AI-powered data extraction, data preparation, integration, EDI, data warehousing, and API management. The tool has an intuitive drag-and-drop user interface that lets you easily map data elements, handle hierarchical data conversion, and define complex transformation rules with just a few clicks. With a built-in data quality module, LIKE.TG ensures that data is accurate and reliable with advanced data profiling, correction, and validation capabilities. Moreover, LIKE.TG’s industrial strength ETL engine allows seamless integration with various data sources and destinations, including databases, cloud platforms, and APIs, making it easier for organizations to extract, integrate, and manipulate data efficiently. Its automation and orchestration features reduce the time needed to manage ETL processes by as much as 80%. Key Features: No-code Visual Interface Rich Data Transformations Industrial strength ETL engine Workflow Automation and Job Scheduling Advanced Data Quality Features Connectors for Multiple On-Premises and Cloud-Based Sources API Integration Create data mappings and integrations in a code-free environment Try It Now! 2. Talend Talend is a cloud-based data integration tool with data mapping capabilities. It provides connectivity to various sources, including multiple file formats and databases. The tool is low-code, which means users will need to write scripts.. Talend also provides features, such as batch processing, for data mapping across bigger data sets. Key Features: Low-code Data Profiling Pre-built Connectors Big Data Compatibility. Data cleansing functionalities before loading data into a warehouse. 3. Informatica Informatica offers a low-code, data management and mapping tool. It allows users to define reusable data flow logic for mapping datasets. The low code functionality of the tool means that users might have to write code for complex transformations. Key Features: Low-code AI-powered Tool. Re-usable Scripts and Dynamic Mapping. Built-in Connectors Workflow Automation 4. Dell Boomi Dell Boomi is a cloud-based data mapping and integration solution. Users can use its point-and-click interface and pre-built connectors to map a source system to a destination. Key features: Low-code tool Workflow automation Intelligent data mapping suggestions Pre-built connectors Custom logic through data map extensions. Field-locking to enforce certain standards. 5. Mulesoft Anypoint MuleSoft Anypoint is a cloud-based integration platform (iPaaS) that provides organizations with a platform for building and managing their APIs and integrations. The tool has data transformation capabilities allowing users to map data between different file formats and protocols. Key Features: Low code tool Real-time Error Handling Advanced Security Multiple transformations Automapping between same-structure schemas. 6. Pentaho Pentaho is a data integration and business analytics platform that enables enterprises to collect, prepare, blend, and analyze data from various sources. It provides a set of tools for data mapping, ETL, data warehousing, mining, and reporting. Pentaho allows users to create and manage complex data mappings visually. Key Features: Connectors for databases, flat files, and cloud sources. Re-usable scripts for data mapping Real-time error detection 7. IBM InfoSphere IBM InfoSphere is a data management solution with data mapping capabilities. The tool uses the Mapping Assist functionality for object mapping and workflow creation. Key Features: Self-learning model for improving mapping accuracy with each new task. Intelligent JSON-format transformation suggestions. Compatible with Big data sources. 8. Jitterbit Jitterbit is a low-code data mapping platform as a service that allows businesses to connect their applications and data, automate business processes, and create new digital experiences. It also lets users to create ETL pipelines and perform data migration. Jitterbit is also deployable on the cloud. Here are some of the key data mapping features of Jitterbit: Automapping. Condition-based mapping. Loop node mapping for hierarchical structures. Connectivity with various CRM and accounting systems. Point and click interface for easy mapping and transformations. 9. CloverDX CloverDX is an open-source enterprise data management platform that allows businesses to integrate, transform, and manage their data. It provides a set of tools which includes data mapping, data migration, data warehousing, and data quality management. The key features of CloverDX’s data mapping include: Drag-and-drop interface. Flexibility of creating both code-based and no-code mappings. Expression-based mapping. Free alternative to other options on this list. Parallel processing. 10. Altova MapForce Altova MapForce is a graphical data mapping tool for any-to-any conversion and integration. It supports a wide range of data formats, including XML, JSON, databases, EDI, Excel, XBRL, and Web services. Altova MapForce can be used to build data integration and conversion applications, as well as to automate recurring data transformations. Key data mapping features of Altova MapForce include: Interactive data mapping debugger. A library of built-in data mapping functions. Extensive data source support. Chained data mappings. Data mapping output preview. Automation and job-scheduling. 11. Skyvia Skyvia is a cloud-based data integration platform that allows users to connect to and integrate data from multiple sources, including cloud applications, relational databases, and CSV files. Skyvia provides various data mapping features so users can transform their data into the format required by their target destination. Skyvia’s data mapping features include: No-code visual interface. Advanced mappings, including column and relation mapping. Mapping in synchronization. A mapping editor. 12. Fivetran Fivetran is a fully managed data pipeline platform allowing companies to connect and sync their data from various sources to popular cloud data warehouses and analytics destinations. It automates the data pipeline process, allowing companies to get their data into the cloud and use it to power their businesses. Key data mapping features of Fivetran consist of the following: Pre-built and custom transformations. Cloud deployment. Automated and custom data mapping. Automatic schema migrations. Choosing the Right Data Mapping Tool for Your Needs With several data mapping solutions available, choosing the right one for your business can be challenging. However, you can make an informed decision by considering some key factors. Assessing Your Business’s Data Mapping Needs Start by assessing your business’s specific data mapping requirements. Consider the types of data sources you need to integrate, the complexity of your data transformations, and the level of technical expertise within your team. For example, if your business deals with various data sources, such as databases, APIs, and flat files, you will need a data mapping tool that supports multiple data formats. Furthermore, consider the scalability of the tool. As your business grows, your data mapping needs may evolve. Choose a tool that can accommodate future requirements and handle increasing data volumes. Comparing Costs and Features of Different Tools Compare the costs and features of different data mapping software. Evaluate pricing models, including licensing fees and ongoing maintenance costs. Also consider the long-term costs associated with the tool and any additional expenses for training and support. Additionally, carefully review the features and functionalities offered by each tool and determine which ones align best with your business requirements. Some common features to consider include data validation, data enrichment, and data transformation capabilities. Look for tools that offer intuitive user interfaces and provide comprehensive documentation. Implementing Data Mapping Tools in Your Business Once you have chosen the right data mapping tool for your needs, it’s time to implement it effectively in your business processes. Implementing data mapping tools requires careful planning and execution. Here are some steps to help you successfully integrate a data mapping tool into your organization: Identify Integration Points: Determine the applications and systems that need to be integrated with the data mapping tool. Define Mapping Requirements: Clearly define your data mapping requirements, including data formats, transformation rules, and validation criteria. Configure the Tool: Set up the data mapping tool according to your specific requirements, including mapping connections and transformation rules. Test and Validate: Conduct thorough testing and validation to ensure that the data mapping tool functions correctly and meets your integration goals. Train Users: Provide comprehensive training to your team members to ensure they can use the data mapping tool proficiently. Businesses may encounter certain challenges. Understanding these challenges and taking proactive measures can significantly contribute to accurate data mapping. Complex Data Structures: Dealing with complex data structures can pose challenges during mapping. It is crucial to analyze data structures and plan the mapping accordingly carefully. You can simplify mapping and ensure accurate data transformation by breaking down complex data structures into manageable components. Data Validation: Ensuring data accuracy and integrity is vital. Implementing appropriate data validation mechanisms can help identify and address any inconsistencies or errors in the data. By performing data validation checks at various stages of the mapping process, you can minimize the risk of data corruption and ensure the reliability of your mapped data. Change Management: Implementing a data mapping tool may require changes in existing processes and workflows. Effective change management practices can help smooth the transition and gain user acceptance. By involving key stakeholders early in the implementation process, providing clear communication and training, and addressing any concerns or resistance, you can facilitate a smooth transition and ensure successful adoption of the data mapping tool. Conclusion Data mapping tools are crucial in simplifying data integration and transformation. Organizations can comprehensively view data, enhance its quality, and make informed decisions by accurately linking data elements between systems. LIKE.TG, with its robust features, intuitive interface, and extensive connectivity options, emerges as a top choice for organizations from among the data integration tools listed above. Experience how LIKE.TG’s data mapping tool can make your data integration tasks easier and quicker. Download our 14-day free trial, or sign up for a free demo today! 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52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively. Let’s explore how these best practices allow you to process increased volume, variety, and velocity of data, optimize data warehouse functionality and performance, and harness the power of data-driven insights. What Is a Data Warehouse? A data warehouse is a centralized repository that stores and integrates data from multiple sources, such as operational systems, external databases, and web services. A data warehouse provides a consistent and consolidated view of data, regardless of where it originates from or how it is structured. In other words, a data warehouse is organized around specific topics or domains, such as customers, products, or sales; it integrates data from different sources and formats, and tracks changes in data over time. The best part about a data warehouse is that it does not overwrite or delete historical data, simplifying data management significantly. The key components of data warehouse architecture are: Source systems: Source systems are responsible for generating and storing the raw data. We’re talking transactional databases, enterprise applications, and web services. These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. Extract, Transform, and Load (ETL) process: ETL extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse. This process ensures the data is clean, accurate, and in harmony with the data warehouse schema. Data warehouse: The data warehouse is where the transformed and integrated data is stored. The data warehouse schema sets the rules, defining the structure with tables, columns, keys, and relationships. It doesn’t just store data but also metadata like data definitions, sources, lineage, and quality insights. Data marts: Data marts (also called information marts) are tailored subsets of the data warehouse designed for specific business units, functions, or applications. They offer a more focused and customized view of the data, giving a performance boost to data analysis and reporting. Data access tools: Data access tools let you dive into the data warehouse and data marts. We’re talking about query and reporting tools, online analytical processing (OLAP) tools, data mining tools, and dashboards. Data access tools enable users to analyze and visualize data in their own unique way. Given the generally complex nature of the data warehouse architecture, there are certain data warehouse best practices that focus on performance optimization, data governance and security, scalability and future-proofing, and continuous monitoring and improvement. Best Practices for Data Warehouses Adopting data warehousing best practices tailored to your specific business requirements should be a key component of your overall data warehouse strategy. These strategies enable you to optimize query performance, fortify data security, establish robust data governance practices, and ensure scalability. Performance Optimization Boosting the speed and efficiency of data warehouse operations is the key to unleashing its full potential. Techniques like indexing, partitioning, caching, compression, and parallel processing play pivotal roles. Consider the following data warehouse best practices to enhance performance: 1. Strike the right balance with indexing to optimize query performance Indexes are data structures that store the values of a specific column or a combination of columns, along with pointers to the rows that contain them. This data warehouse best practice allows you to speed up data warehouse data retrieval by reducing the number of disk I/O operations. With indexing, your data warehouse no longer needs to scan the entire table, thus improving query performance. For instance, if you have a table with customer information, an index on the customer ID column will allow you to find a specific customer’s records quickly. 2. When partitioning, select the right column, align with query patterns, and avoid over-partitioning Partitioning is the process of dividing a large table or index into smaller, more manageable units called partitions. Partitioning improves performance by reducing the amount of data that needs to be scanned, loaded, or updated at a time. Partitioning can also enable other data warehouse best practices, such as parallel processing. For instance, if you have a table with sales data, you can partition it by date, region, or product category to optimize the queries that filter by these criteria. 3. Use caching to increase data access speeds Caching is a crucial data warehouse best practice as it allows you to store frequently accessed data or query results in a temporary memory location, such as RAM or SSD. Caching can improve performance by reducing the latency and increasing the throughput of data warehouse operations. For example, if you have a query that calculates the total revenue for each month, you can cache the result and reuse it for subsequent queries that need the same information. 4. Use data compression to enhance storage efficiency Compression allows you to reduce the size of data by applying some encoding or algorithm, such as dictionary encoding, run-length encoding, or delta encoding. Compression improves performance by saving disk space, reducing network bandwidth, and increasing the amount of data that can be processed in memory. For instance, if you have a table with product information, you can compress the product description column by using a dictionary-based algorithm that replaces repeated words or phrases with shorter codes. 5. Accelerate query execution with parallel processing Parallel processing helps execute multiple tasks or queries simultaneously by using multiple processors, cores, threads, or machines. Parallel processing improves data warehouse performance by distributing the workload and utilizing the available resources more effectively. For example, if you have a query that joins two large tables, you can use parallel processing to divide the tables into smaller chunks and join them in parallel. Data Governance and Documentation Establishing and enforcing rules, policies, and standards for your data warehouse is the backbone of effective data governance and documentation. Techniques like metadata management, data cataloging, data lineage tracing, and data quality management are some of the data warehouse best practices you can incorporate. 6. Maintain a metadata repository to facilitate data discovery Metadata Management allows you to define, collect, store, and maintain metadata, which is data about data. Metadata describes the structure, meaning, origin, and data usage. It is a valuable tool for managing and tracking changes and impacts. Keeping track of metadata can help you understand the data, facilitate data integration, enable data lineage tracing, and enhance data quality. This not only aids user comprehension of data but also facilitates seamless data discovery, access, and analysis. 7. Use data cataloging for improved data accessibility Data cataloging is a searchable and browsable inventory of the data assets in the data warehouse. It creates and maintains a metadata repository that describes the data sources, tables, columns, relationships, and business rules in the data warehouse. Cataloging helps users access a centralized and searchable source of truth for data discovery, exploration, and understanding. If you have a data warehouse with multiple schemas, tables, and views, a data catalog is essential keep a unified and user-friendly interface for exploring and querying the data. 8. Use data profiling to ensure your data is healthy Data profiling is the process of analyzing the data in the data warehouse to discover its characteristics, such as data type, format, range, distribution, frequency, uniqueness, completeness, accuracy, and relationships. It helps assess its structure, content, quality, and distribution, identify data anomalies and errors, and determine data cleansing and transformation requirements. Data profiling gives you an overview of the data health of a particular data asset. 9. Enhance data transparency with lineage tracing Data lineage is the process of tracking your data’s origin, transformation, and destination in the data warehouse. This provides a clear and auditable record of data movement, flow, and impact. Tracing data lineage helps understand the history and context of the data, verify the accuracy and reliability of the data, and troubleshoot data issues. For instance, if you have a table with sales data, you can use data lineage tracing to show the source systems, ETL processes, and intermediate tables that contributed to the data in the table. 10. Use relevant metrics to continuously monitor data quality Data quality monitoring is the process of measuring, reporting, and improving data quality in the data warehouse. It helps measure and report data health based on predefined data quality metrics, such as accuracy, completeness, timeliness, validity, or uniqueness over time. With data quality monitoring, your team can be alerted to data anomalies errors, or changes after the data warehouse has been deployed. Security Measures Guarding your data warehouse against unauthorized access, modification, or disclosure requires robust security measures. Encryption, data masking, authentication, authorization, and auditing are your arsenal. Here are some data warehouse best practices to ensure data security: 11. Authorize, control, and monitor data access with role-based access control Role-Based Access Control (RBAC) aligns access with user roles, ensuring individuals only access data and functions they need. Managing authorizations controls the level of access by defining what data or operations the users or applications can view, modify, or execute. As a result, RBAC simplifies data security management and minimizes the risks of data breaches and leaks. For example, if you have a data warehouse with multiple users, you can use RBAC to assign different roles and privileges to the users, such as admin, analyst, or viewer, and restrict their access to specific schemas, tables, columns, or queries. 12. Protect sensitive information with data encryption Encryption helps you transform the data or files into an unreadable form by using a secret key or algorithm. Encryption helps prevent data breaches, data theft, or data tampering by making the data inaccessible or meaningless to unauthorized parties. For instance, if you have a table with sensitive data, such as customer SSN, addresses, or credit card numbers, you can encrypt the data before storing it in the data warehouse or transferring it over the network. 13. Use dynamic masking to selectively hide data Data masking is the process of replacing the original data with fictitious or modified data that preserves the data format and functionality. It can protect the privacy and confidentiality of the data by hiding or obscuring the sensitive or identifying information. For instance, if you have a table with customer information, you can mask the data by replacing the customer names with random names, the addresses with random addresses, or the credit card numbers with asterisks. 14. Manage data access with user authentication Authentication is the process of verifying the identity of the users or applications that access the data warehouse. Authentication can prevent unauthorized access by ensuring that only legitimate and authorized parties can access the data warehouse. For example, if you have a data warehouse with multiple users, you can use authentication to require the users to provide their usernames and passwords, or other credentials, such as biometrics or tokens, before accessing the data warehouse. 15. Maintain accountability with regular audits Auditing helps record and review the activities and events that occur in the data warehouse. It helps you monitor the data warehouse performance, usage, and security by providing logs, reports, and alerts on the data or operations that are accessed, modified, or executed. For example, if you have a data warehouse with multiple users, you can use auditing to track who, when, what, and how the users accessed or changed the data in the data warehouse. Scalability and Future-Proofing Ensuring your data warehouse can evolve with the future growth of data, users, and business requirements is essential. Techniques like capacity planning, modular design, and embracing cloud computing are your go-to strategies. Incorporate the following data warehouse design best practices: 16. Leverage cloud computing to handle large data sets Cloud computing leverages remote servers and services to store, process, and analyze data. It offers scalability, flexibility, and cost-effectiveness by allowing the data warehouse to adjust the resources and services according to the demand dynamically and pay only for what is used. For instance, if you have a data warehouse that needs to handle large and variable volumes of data, you can use cloud computing to store the data in scalable and distributed storage systems, such as Amazon S3 or Google Cloud Storage, and process the data in scalable and elastic compute platforms, such as Amazon Redshift or Google BigQuery. 17. Optimize resource allocation based on the workload Capacity planning allows users to estimate and provision the resources and services needed to meet the current and future demands of the data warehouse. Capacity planning helps avoid performance degradation, resource wastage, or service interruption by ensuring the data warehouse has sufficient and optimal resources and services at all times. For instance, if you have a data warehouse that needs to support a growing number of users and queries, you can use capacity planning to monitor and forecast the resource and service utilization, such as CPU, memory, disk, network, and concurrency, and plan for the resource and service allocation, upgrade, or migration accordingly. This avoids resource shortages, bottlenecks, or over-provisioning and ensures data availability and performance. 18. Select the right data warehouse modeling technique Data warehouse modeling is the process of designing the logical and physical structure of the data warehouse, based on the business requirements and the data sources. Leveraging the appropriate schema, such as star or snowflake schema can help optimize your data warehouse for reporting. It does so by organizing the data into facts and dimensions. Data warehouse modeling also involves applying various techniques, such as normalization, denormalization, aggregation, and partitioning, to optimize the data warehouse for performance, storage, and usability. For instance, data warehouse modeling like star schema creates a central fact table that stores the measures of the business processes, and several dimension tables that store the descriptive attributes of the facts. This schema is simple, easy to understand, and fast to query, as it reduces the number of joins and tables involved. However, the ideal data modeling technique for your data warehouse might differ based on your requirements. For instance, a star schema optimizes your data warehouse reporting, but it can also result in data redundancy, inconsistency, and update anomalies, as the same dimension attributes may be repeated in multiple tables. 19. Consider the modular design approach for scalability and performance Modular design is a data warehouse design principle that advocates for breaking down the data warehouse into smaller, independent, and reusable modules. This approach can improve the scalability, maintainability, and performance of the data warehouse, as well as reduce the complexity and cost of development and testing. An example of modular design is using a data vault architecture consisting of three types of tables: hubs, links, and satellites. Hubs store the business keys of the entities, links store the associations between the entities, and satellites store the attributes and history of the entities. Each table is a module that can be loaded, updated, and queried independently without affecting the rest of the data warehouse. Like dimensional modeling, following the data vault design is ideal only in certain situations. Learn more about whether you need a data vault. Monitoring and Maintenance The last in our list of data warehouse best practices is performance monitoring and periodic maintenance. The key to keeping your data warehouse running smoothly is to monitor its performance closely and fix any problems. It includes error handling, backup and recovery, and testing and debugging any changes you make. 20. Ensure smooth operations with continuous performance monitoring Performance monitoring offers crucial insights into the bottlenecks, errors, and inefficiencies of operations. Suppose you have a data warehouse that stores social media data for a digital marketing agency. You want to ensure that your it operates smoothly and reliably, delivering accurate and timely results to your users and clients. One way to do this is to implement performance monitoring in your data warehouse. It involves the following steps: Define performance metrics: You need to define and measure the key performance indicators (KPIs) for your data warehouse, such as data load time, query response time, data quality, user satisfaction, etc. You may also use tools and techniques such as benchmarks, baselines, and thresholds to set and compare the performance standards and goals. Collect performance data: You need to collect and store the performance data for your data warehouse, such as data volume, data velocity, data latency, data errors, data usage, etc. You may also use tools and techniques such as logs, alerts, and notifications to capture and report performance events and incidents. Analyze performance data: You need to analyze and interpret the performance data for your data warehouse, such as identifying and diagnosing the root causes, impacts, and trends of performance issues and anomalies. LIKE.TG: Empowering Data Warehouse Best Practices Data warehouses are powerful and valuable assets for modern businesses. Incorporating data warehouse best practices into your data warehouse management ensures a well-rounded, high-performing, and secure environment, ready to meet the evolving demands of your business. However, designing and building a data warehouse requires careful planning, implementation, and maintenance and must follow some best practices to ensure their functionality and performance. A tool like LIKE.TG is indispensable for implementing data warehouse best practices as it addresses the complexities of data management, automates processes, ensures data quality, and provides the flexibility needed to adapt to evolving business requirements. Why Choose LIKE.TG? Zero-Code ETL/ELT: Benefit: Automate dataflow creation effortlessly for seamless population of database tables. Impact: Streamline your processes, saving time and resources, while ensuring accuracy in your data transitions. Unified Metadata-Driven Solution: Benefit: Design, develop, and deploy high-volume, operational data warehouses effortlessly. Impact: Experience a unified approach to metadata-driven solutions, promoting consistency, and simplifying the development lifecycle. Built-In Validations and Checks: Benefit: Ensure the integrity of your data and data model with built-in validations and checks. Impact: Fortify your data quality, reducing errors and discrepancies, and fostering a foundation of trust in your data. Support for Different Schemas: Benefit: Embrace flexibility with support for dimensional modeling, data vault 2.0, and 3NF schema. Impact: Tailor your data warehouse to your unique needs, accommodating diverse schemas seamlessly. Data Modeler: Benefit: Craft a data model from scratch or generate one for an existing database effortlessly. Impact: Accelerate your data modeling process, promoting agility in adapting to evolving business requirements. Automated Data Pipelines: Benefit: Facilitate automated data pipelines with a rich palette of 200+ transformations and robust scheduling. Impact: Transform your data management landscape, ensuring a seamless and efficient flow from source to destination. Data Accuracy and Reliability: Benefit: Ensure data accuracy and reliability through comprehensive validation tools. Impact: Fortify your decision-making with trustworthy data, reducing the risk of errors and enhancing overall reliability. Seize the LIKE.TG advantage and implement data warehouse best practices with the ease of no-code. Start your data warehousing journey with a free 14-day trial. Build a Data Warehouse in Days - Without Any Coding! Try LIKE.TG DW Builder for free for 14 days! Simplify data integration and get real-time insights effortlessly. Request Free Trial

A big part of the year 2023 has already passed and we still see a lot of people in many places still using some of those very old Facebook marketing software from before. It seems to us here that a lot of the features in it might not be maintained anymore, and some of the special features might not be as strong as some of the newer individual software that is out there now, so today we're going to introduce you to some of the most popular Facebook marketing related goodies for 2023!!!!Facebook Ads Manager.Role: Used to create, manage and monitor Facebook ad campaigns.Functions: Provides design and editing of ad creatives, selection of target audiences, management of ad budgets and bids, monitoring and analyzing of ad performance, and other functions.Hootsuite.Role: Social media management platform for multiple social media platforms, including Facebook.Functions: Plan and publish posts, manage social media calendars, monitor keywords, provide real-time analytics, team collaboration tools, and more.Buffer.Role: Social media planning and posting tool.Functions: Plan and publish posts on Facebook, analyze post performance, provide recommendations for optimal posting times, manage multiple social media accounts, and more.AdEspresso.Role: Used to manage and optimize Facebook ad campaigns.Functions: Create and test different ad variants, analyze ad performance, automate ad optimization, generate ad reports, etc.Sprout Social.Role: Comprehensive social media management tool for multiple social platforms, including Facebook.Functions: Monitor social media activity, plan and publish posts, provide analytics and reporting, collaboration tools, social media crisis management, and more.SocialBee.Role: Social media management tool that supports multiple social platforms, including Facebook.Functions: Plan and publish posts, provide analytics and reporting, automate social media campaigns, manage target audiences, and more.LIKE.TG Facebook marketing software .Function: Can help you do Facebook related marketing faster and more professionally.Functions: Supports logging in multiple accounts at the same time, capturing users in accounts/groups/posts etc. with one click, you can import the above users directly into the software for mass promotion and many other tasks.These are our recommendations for the most popular Facebook related marketing software in 2023, thanks for seeing this. If you have any questions or ideas in this regard feel free to add our customer service to raise them, thank you very much!

With the continuous development of science and technology in today's society, the importance of the Internet is self-evident. Basically, no matter what we do, we cannot do without the Internet. As far as enterprises are concerned, social media is now playing an increasingly important role. Many enterprises have begun to do marketing and promotion on various social media to expose their products and brands. Among them, Facebook has played an indispensable role. I don’t know if you have noticed that many foreign trade companies will carry out marketing and promotion on Facebook. The needs of customers are constantly changing. If we want to survive in the highly competitive environment of the industry, we must be able to do facebook marketing. Let's follow the LIKE.TG editor to learn about it!Reasonably use the live broadcast function of facebook platformNow the live broadcast industry is booming. Basically, companies will have dedicated live broadcast personnel to live broadcast live broadcasts. Even some celebrities we know have started the trend of live broadcasts. If you take a serious look at facebook, you will find a lot Many foreign trade personnel are doing live broadcasting to bring goods. If we want to get customers quickly, then live broadcasting is a good choice.post valuable contentIf you want to grow your Facebook fan base, you must first publish valuable content for your users.Posting valuable content on Facebook will encourage users to engage with you. Additionally, they may repost your content, which can lead to word of mouth and increase your Facebook fan base.Please also pay attention to the posting time when posting. For the average consumer, the best time to post is Monday, Tuesday, and Wednesday at noon.For businesses, the best times to post are Tuesdays, Wednesdays and Thursdays from 9am to 2pm.Drive traffic to your blog or websiteThe traffic on the facebook platform is very large. I believe that anyone who is doing facebook marketing should be very aware of this. We can leave a post when posting or decorating your personal homepage to jump to your blog or your website product page The jump link of the marketing model leads to your website or blog.You can also connect your blog with Facebook to sync your blog posts to your Facebook page.It is possible to blog on your website through the Wordprss plugin. Wordprss plugin automatically updates all posts on your website to your Facebook page.In addition to the facebook marketing methods explained by the LIKE.TG editor above, there are actually many marketing methods. Different industries may have different focuses on facebook marketing, but our ultimate goal is to acquire customers.The above content is from LIKE.TG, I hope you like it. If you want to know more about facebook marketing in detail, you can visit LIKE.TG.

The Facebook group control system is a social tool often used by companies or individuals doing Facebook marketing. It can help companies or merchants quickly find their intended user groups on Facebook and promote their brands and products. The function of Facebook group control system is very powerful and can meet almost all product/service FB promotion needs.ps: Since the Facebook algorithm is constantly being updated, LIKE.TG Facebook marketing software will also update the software based on the algorithm or user needs. Frequent updates may occur, so everyone should be aware of this.Function module:Including batch adding friends, maintaining accounts, adding groups, automatic sharing/liking posts, fan page management, automatic replies, automatic translation, Facebook live broadcast address collection, comments and other automated marketing tasks.【function list】Supports sending random messages, links, pictures, and videos to prevent Facebook from detecting spam.Post information and pictures to fan homepages.Automatically join groups in batches.Supports setting task scheduling time intervals to reduce the probability of Facebook detection.Search fan homepages using keywords and obtain fan homepage information (such as number of fans, website, email, phone number). Invite friends in batches to like the fan page.Automatically like designated user posts, group posts, and fan homepage posts in batchesAutomatically reply to comments/private messages on personal homepages and fan homepages (supports specifying reply content through specific keywords)Publish text/links, single/multiple pictures, or marketing information to the group in batches, or even publish photo albums to the group.[About purchasing a Facebook account]Generally, there are many types of merchant accounts. No matter what account you purchase, please confirm whether the first login is guaranteed before purchasing. This is your most basic right.Purchasing an account allows you to skip the early account maintenance stage and directly use the account to schedule marketing tasks. It is indeed a time-saving and labor-saving alternative.As for white accounts, black accounts, old accounts, and durable accounts, you need to test them yourself. The quality of the account and your operating behavior will affect the renewal of the account. Therefore, it is emphasized here that whether the account is blocked or not is not directly related to the system.The so-called durable account and old account do not mean that you can use it to carry out marketing tasks without restrictions. Any account requires rational operation to be used for a long time. Facebook account bans are almost always directly related to human operations. The system can help you realize automated operations. However, if you set marketing tasks too hastily, even good quality accounts will inevitably be blocked.[About Facebook account ban]Whether you are applying for a new account or purchasing an account, please be sure to back up your account avatar and birthday. Please use a real person's face as your avatar, and try not to use cartoons or landscape photos. If you encounter an unblocked avatar verification, you will have a higher chance of being unblocked. Common verifications currently include avatar, birthday, friend verification, etc.Facebook’s verification and detection algorithms are continuously updated. When verification is encountered, the information required by the authorities will be provided as much as possible. Even if it is completely suspended (no verification requirement), you can still provide your ID card to appeal for unblocking. If you need to unblock your ID card, please go to the Facebook account appeal page.

2020，这糟心的一年，终于过去了。这一年，世界用残忍的方式不断地提醒我们：千万别没钱。没钱的日子，真的难受：日常开销越来越大，养老、育儿的成本越来越高，每个月累死累活，拿到的工资一半敬房东，一半敬伙食。就算再累，也不敢辞职……扎心吧，这个年代，成年人的日子，实在太苦了。生活的不易，让外贸人不得不寻求更多的拓客方法。 作为海外客户，大部分客户使用的不是微信，而是拥有5亿用户的telegram。所以今天就给大家推荐一款telegram营销工具——商海客telegram营销软件。它的功能有多强大呢？ 1、自动接码注册功能。软件注册对接了接码平台，注册的帐号都是实体卡，对接一手的卡商，拥有53个国家的卡，即时注册即时发送广告。其次我们选用的是动态IP，都是真实住宅IP和移动IP，自动切换，有效防封抗禁。 2.批量筛选有效telegram用户。软件拥有导入通讯录，然后注册识别账号功能，可自动筛选任意一个国家的有效telegram用户，实现自动保存，精准度达95%以上。 3、批量好友一对一私聊。软件支持多开模拟器同时批量好友一对一私聊，可自定义私聊人数，支持文字+图片同时发送模式。一对一私聊有效规避了像群组群发模式刷屏太快，广告到达率低的问题，做到广告的营销全覆盖，从而有效提高客户转化率和订单成交率。 4、全自动注册ID好友指定拉群。可以指定将所有的小号的ID好友，全部拉入你指定的群组，瞬间就能加满群。全自动操作，无需人工干预，简单易上手。 在这个时代什么都能复制，但商海客telegram营销软件的营销黑科技，只是独家，我们等你来，立刻。 -->

2020年，疫情的影响下，很多外贸企业倒闭，这也让越来越多的外贸企业认识到开展线上外贸营销，拓展营销渠道非常重要。但同时很多企业也在思考，现在的外贸营销渠道有哪些?哪个效果比较好?又该注意哪些问题?下面商海客就来为大家做个简单分享。 1. SEO优化 即网站的自然排名优化，通过技术手段把外贸网站排到搜索引擎前列。但SEO对技术要求比较高，人员的招聘也困难。成本高，见效慢。 2. Google竞价 谷歌是全球流量最大的搜索引擎，其次见效慢，还得充钱才行。 3. 展会 疫情影响下，曾经的展会全部停摆，而目前国外疫情加重，展会重开之日更是遥遥无期。 4. telegram营销（Telegram Marketing） 差不多十年前微信刚刚出现的时候，很多人错失了最早的风口，但把握住机会的人也非常之多。现在电报已经有5亿的用户基础和非常活跃的客户生态，有心人不应错过这次机会。如何在电报上进行营销呢？商海客Telegram营销黑科技软件告诉你。 这是一款专门用来开发telegram用户的全自动营销软件，它最大的特点就是简单粗暴高效。首先商海客telegram营销软件能通过关键字采集大批量目标群组，进而导出群组里目标用户，一键设置，自动注册后即时发送广告至目前群体，一天一台设备最高发送量可达10万，群组群发还是一对一批量私发都可，并且发送成本极低，低至1分钱1条，在时间效率和营销成本方面，完全碾压以上三个渠道。商海客telegram营销软件发送内容模式没有任何限制，可以图文结合，同时设置多个内容版本，商海客telegram自动注册的号将随机选择一个版本进行发送。以上都只是商海客telegram营销软件功能的冰山一角。不见海不知海阔，不下海不知海深。 李佳琦让你成了定金人，马爸爸让你成了尾款人，而商海客，只想让你成为实实在在赚钱的人。 -->

2024 Facebook Account Increase Weight Tool is here! Those who have used this tool should be well aware that after this period of time Facebook's policy updates, many old versions of the Facebook Account Increase Weight Tool have lost their very distinctive and efficient number raising mode. However, it does not matter, today we want to introduce you to this Facebook Account Increase Weight Tool is the latest version, not only able to combine the current version of the ability to use the number of ways to raise the number, but also added a new number of extensions, let's take a look together!First of all, the number of this software has increased the number of simultaneous raising the upper limit, but also added the "timing" function, now we can carry out the task of raising the number of regular, we can use the number of this software to raise the number of mode, to raise the number of batch. Multiple accounts in accordance with the form of batch to raise, you can ensure that each account account weight value is similar, and then later in the marketing to achieve better marketing.In addition, the software is updated with a new model is also a feature, such as the software can now automatically identify your account is old or white, if the account is detected as a white number, you can make the account automatically browse a variety of pages, using this way to increase the weight value of the account. If it is an old number, the software will automatically detect and use another way to raise the number, such as automatically view the home page of friends, automatically click on the posts of friends and other content, for two different types of accounts, different types of raising the number of different types of raising the number of ways to jointly realize the number of operations.With this kind of number raising software, we will be able to realize the automated number raising operation, which can help our marketing process smoother. If you are also interested in this number raising tool, welcome to try to understand this number raising tool, thank you very much.Keywords: Facebook Account Increase Weight Tool