#dmp analysis

[mayimkjs]

Small interesting details I've noticed about MeMe and Double

I ended up running MeMe and Double through Media Encoder to get PNGs for all of the frames for FOOL's MATE. So here's some small, misable details from MeMe and Double.

Dopy ahh dood

The layout of the inner world resembles Mikoto’s living room and bathroom.

These 2 scenes mimic each other.

[outsourcebigdata]

Data Management Platform: Complete Guide for 2024 

In today’s fast-paced business environment, data is more crucial than ever. Modern businesses leverage big data for better decision-making, operational efficiency, and revenue growth. To harness these benefits, investing in a robust data management platform (DMP) is essential. 

What is a Data Management Platform? 

A Data Management Platform is software that collects, stores, and manages vast amounts of data from various sources like web services, mobile platforms, and marketing automation tools. It organizes and activates audience data from first-, second-, and third-party sources, helping businesses make data-driven decisions. 

How a Data Management Platform Works 

Data Management Platforms analyze contextual, behavioral, and demographic data to create detailed customer segments. They track browsing behavior and tailor advertisements based on user activity across different digital channels. This helps in delivering personalized ads to specific customer segments, enhancing marketing efficiency. 

Benefits of a Data Management Platform 

Increase Revenue: Targeted ads boost brand recognition and conversion rates. 

Run Cross-Device Campaigns: Reach audiences consistently across multiple devices. 

Financial Savings: Efficiently target and retarget audiences, reducing ad waste. 

Meet Customer Needs: Gain insights into customer preferences and improve marketing strategies. 

Target Right Audience: Use real-time analytics to create precise audience segments. 

Build Long-Term Strategies: Apply data insights to optimize future campaigns. 

Improve Data Security: Enhance data protection with advanced encryption. 

Streamline Data: Centralize data from various sources for a unified customer view. 

Choosing the Right Data Management Platform 

Consider the following factors when selecting a Data Management Platform: 

Integration Capabilities: Ensure compatibility with other marketing and advertising technologies. 

Data Sources: Verify the platform can collect data from all relevant sources. 

Data Management Capabilities: Look for real-time data processing and AI-driven analysis. 

User Interface: Choose a user-friendly platform. 

Scalability: Ensure the DMP can grow with your business. 

Pricing: Match the cost to your budget and expected ROI. 

Support and Training: Check for adequate support and training resources. 

Top Data Management Platforms of 2024 

Google Marketing Platform: Unified platform combining data management and advertising. 

Amazon Redshift: Fast data warehouse for simplified data analysis. 

Lotame: Unstacked data solutions with audience creation and segmentation tools. 

Snowflake: Data management as a service with exceptional performance. 

Oracle BlueKai: Integrates with Oracle software for comprehensive customer experience management. 

Best Practices for Using a Data Management Platform 

Ensure Data Privacy and Security: Comply with regulations and encrypt data. 

Define Objectives: Align DMP goals with business objectives. 

Use Data for Decisions: Optimize campaigns and personalize customer experiences. 

Regular Evaluation: Continuously assess DMP performance and ROI. 

Integrate Technologies: Create a seamless data ecosystem. 

Single Customer View: Get a comprehensive picture of customer behavior. 

Train Your Team: Ensure effective platform use through proper training. 

Future of Data Management 

Increased Privacy Concerns: Adapt to new regulations with advanced privacy controls. 

Convergence with CDPs: Combine Data Management Platforms and CDPs for deeper customer insights. 

AI and Machine Learning: Enhance data analysis with sophisticated algorithms. 

Expansion into New Channels: Support emerging channels like connected TV. 

Conclusion 

Effective data management is crucial for business success. Data Management Platforms enable targeted, personalized ad campaigns and provide valuable insights for strategic planning. Evaluate your Data Management Platform requirements and choose the right platform to drive growth and achieve your business goals. 

[apapae]

The Role of Database Solutions in Enhancing B2B Marketing Strategies

1. Customer Relationship Management (CRM) Databases

CRMs are essential in B2B marketing for managing interactions with current and potential clients, tracking sales, and organizing customer data.

For More Information: https://sales-demand.com/database-solutions/

Examples:

Salesforce: Comprehensive CRM platform with extensive features for sales, marketing, and customer service.

HubSpot CRM: Free, easy-to-use CRM with marketing, sales, and customer service tools.

Microsoft Dynamics 365: Integrated CRM and ERP solution for managing customer data and business processes.

2. Marketing Automation Platforms

These platforms automate repetitive marketing tasks and manage multi-channel marketing campaigns, leveraging databases to track and analyze customer interactions.

Examples:

Marketo: Marketing automation software that integrates with CRM systems for lead management and analytics.

Pardot: B2B marketing automation by Salesforce, focusing on lead generation and nurturing.

Eloqua: Oracle’s marketing automation platform, providing campaign management and advanced analytics.

3. Data Management Platforms (DMP)

DMPs collect, organize, and activate data from various sources to create detailed customer profiles and enable targeted marketing campaigns.

Visit Us: www.sales-demand.com

Examples:

Adobe Audience Manager: DMP that helps build audience profiles for targeted advertising and personalized content.

Lotame: Data management platform offering audience data collection and analysis tools.

Salesforce DMP: Manages and integrates audience data across various channels for precise targeting.

4. Business Intelligence (BI) and Analytics Tools

BI tools analyze large sets of data to provide insights and support decision-making processes in marketing strategies.

Examples:

Tableau: Data visualization tool that helps marketers understand complex data through interactive dashboards.

Power BI: Microsoft’s BI tool, offering data analytics and visualization capabilities.

Looker: Data exploration and analytics tool that integrates with various databases to provide actionable insights.

Our Services: https://sales-demand.com/lead-generation-solutions/

5. Customer Data Platforms (CDP)

CDPs unify customer data from different sources to create a single customer view, essential for personalized marketing efforts.

Examples:

Segment: CDP that collects, unifies, and activates customer data across various touchpoints.

Tealium: Provides real-time data management solutions, integrating with multiple marketing tools.

Treasure Data: CDP offering data integration, unification, and activation for personalized marketing.

6. Data Enrichment Tools

These tools enhance existing customer data by adding additional information, improving the accuracy and completeness of customer profiles.

Examples:

Clearbit: Enriches customer data with real-time company and contact information.

ZoomInfo: Provides B2B contact and company data for sales and marketing teams.

FullContact: Offers APIs for data enrichment, providing detailed customer insights.

7. Data Warehouses

Data warehouses store large volumes of structured and semi-structured data, enabling complex queries and analytics to support marketing strategies.

Examples:

Amazon Redshift: Scalable data warehouse solution by AWS.

Google BigQuery: Fully managed data warehouse for large-scale data analysis.

Snowflake: Cloud-based data warehousing platform with scalable architecture.

Implementing Database Solutions in B2B Marketing

Read B2b Blogs: https://sales-demand.com/blog/

Steps to Implement:

Define Objectives: Identify marketing goals and how data can support these objectives.

Choose the Right Tools: Select database solutions that align with your marketing needs and existing technology stack.

Integrate Systems: Ensure seamless integration between CRM, marketing automation, DMP, CDP, and analytics tools.

Data Governance: Implement data governance policies to maintain data quality, security, and compliance.

Train Teams: Train marketing and sales teams on using the chosen tools effectively.

Analyze and Optimize: Continuously analyze data to gain insights and optimize marketing strategies.

Benefits:

Improved Targeting: Enhanced ability to target the right audience with personalized marketing messages.

Data-Driven Decisions: Informed decision-making based on comprehensive data analysis.

Efficiency: Automation of repetitive tasks, freeing up resources for strategic activities.

Customer Insights: Deeper understanding of customer behavior and preferences.

[tareshkumarsahu]

Digital marketing at an expert level involves a deep understanding of various channels, advanced strategies, and the ability to leverage data and technology to drive business growth. Here’s an in-depth look into key areas for expert-level digital marketing: 1. Advanced SEO (Search Engine Optimization) • Technical SEO: Ensure your website architecture, URLs, mobile-friendliness, site speed, and indexability are optimized. Use tools like Google Search Console, Screaming Frog, and SEMrush for audits and fixes. • Content Strategy: Develop high-quality, evergreen content that targets strategic keywords and integrates semantic SEO practices. Utilize tools like Surfer SEO and Clearscope for content optimization. • Link Building: Focus on acquiring high-quality backlinks through digital PR, guest blogging, and influencer outreach. Employ advanced link-building strategies such as skyscraper techniques and broken link building. 2. Advanced PPC (Pay-Per-Click) Advertising • Google Ads and Bing Ads Mastery: Use advanced features like custom audiences, remarketing lists, and automated bidding strategies. Utilize scripts and APIs for campaign management. • Programmatic Advertising: Leverage real-time bidding (RTB) and data management platforms (DMPs) to deliver highly targeted ads. Understand and use demand-side platforms (DSPs) like The Trade Desk. • Advanced Analytics: Utilize advanced features in Google Analytics, Google Tag Manager, and attribution modeling to track performance and ROI accurately. Implement multi-touch attribution to understand the customer journey better. 3. Social Media Marketing • Platform Specialization: Develop deep expertise in platforms like Facebook, Instagram, LinkedIn, TikTok, and Twitter. Understand the algorithms and advanced targeting options each platform offers. • Social Listening and Sentiment Analysis: Use tools like Brandwatch, Sprout Social, and Hootsuite Insights to monitor brand mentions and audience sentiment. • Advanced Content Creation: Invest in high-quality video production, interactive content, and augmented reality (AR) experiences. Utilize tools like Canva Pro, Adobe Creative Cloud, and Lumen5 for professional-grade content. 4. Email Marketing • Segmentation and Personalization: Implement advanced segmentation strategies and use dynamic content to personalize emails. Tools like HubSpot, Mailchimp, and Klaviyo can be very effective. • Automated Workflows: Create complex automation sequences based on user behavior and lifecycle stage. Use A/B testing and predictive analytics to optimize email performance. • Deliverability Optimization: Focus on improving email deliverability by maintaining a clean list, using double opt-in, and monitoring sender reputation through tools like Litmus and Return Path. 5. Content Marketing • Content Pillars and Clusters: Develop comprehensive content strategies that revolve around pillar content and topic clusters to improve SEO and user engagement. • Interactive Content: Create interactive infographics, quizzes, calculators, and other engaging content types. Tools like Ceros and Outgrow can help. • Content Distribution: Use paid and organic channels to distribute content effectively. Consider syndication, partnerships, and influencer collaborations. 6. Analytics and Data-Driven Marketing • Advanced Analytics Tools: Use Google Analytics 4, Adobe Analytics, and Mixpanel for in-depth data analysis. Implement custom dashboards and reports to track KPIs. • Data Integration and Visualization: Integrate data from various sources using tools like Google Data Studio, Tableau, and Power BI. Visualize complex data sets to derive actionable insights. • Predictive Analytics: Employ machine learning models and predictive analytics to forecast trends and customer behavior. Tools like SAS, RapidMiner, and IBM Watson can be valuable. 7. Conversion Rate Optimization (CRO) • User Experience (UX) Optimization: Conduct UX audits and usability testing to improve website and landing page performance. Use tools like Hotjar, Crazy Egg, and Optimizely. • A/B and Multivariate Testing: Run systematic A/B and multivariate tests to optimize conversion elements. Tools like VWO and Convert.com are useful. • Behavioral Analytics: Analyze user behavior using heatmaps, session recordings, and funnel analysis to identify drop-offs and improvement areas. 8. Marketing Automation and CRM • Advanced CRM Systems: Utilize advanced features in CRM systems like Salesforce, HubSpot CRM, and Zoho CRM to manage customer relationships effectively. • Marketing Automation: Implement sophisticated automation workflows using tools like Marketo, Pardot, and ActiveCampaign to nurture leads and streamline marketing tasks. • Lead Scoring and Nurturing: Develop advanced lead scoring models and nurture sequences based on user behavior, engagement, and demographics. #digitalmarketing #websitedevelopment #paramwebinfo #brandingdesign #businessmarketing

[meeraklemedia]

Using Personalization to Improve the Online Shopping Experience

In the bustling world of e-commerce, personalization has emerged as a powerful strategy to enhance the online shopping experience. By tailoring content, recommendations, and interactions to individual users, businesses can create a more engaging and relevant experience that drives customer satisfaction and boosts sales. Here’s a look at why personalization matters and how you can effectively implement it to improve the online shopping experience.

1. Why Personalization Matters

Personalization in e-commerce involves using data and customer insights to deliver a customized shopping experience with Advertising agency in Navi Mumbai. This can include product recommendations, targeted marketing messages, and personalized content. Here’s why it’s essential:

Increased Relevance: Personalization ensures that customers see products and content that are most relevant to their interests and needs.

Enhanced Engagement: Customized experiences keep users engaged, reducing bounce rates and increasing time spent on your site.

Higher Conversion Rates: Personalized recommendations can guide users towards making purchases, increasing the likelihood of conversion.

Improved Customer Loyalty: Customers are more likely to return to a site that consistently meets their individual needs and preferences.

2. Data Collection and Analysis

The foundation of effective personalization is data. To personalize the shopping experience, you need to collect and analyze customer data, including:

Browsing Behavior: Track the pages customers visit, the products they view, and their navigation patterns with the help of Advertising agency in Navi Mumbai.

Purchase History: Understand past purchases to recommend similar or complementary products.

Demographic Information: Use data like age, gender, and location to tailor content and offers.

Interaction History: Analyze how customers interact with your site, emails, and other marketing channels.

Using tools like Google Analytics, customer relationship management (CRM) systems, and data management platforms (DMPs) can help you gather and interpret this data effectively.

3. Personalized Product Recommendations

One of the most common and effective forms of personalization is product recommendations. These can be displayed on your homepage, product pages, cart, and even in follow-up emails. Techniques include:

Frequently Bought Together: Suggest complementary products based on what other customers have purchased.

Recently Viewed Items: Remind customers of items they have shown interest in during previous visits.

Similar Items: Show products similar to those the customer has viewed or purchased.

4. Customized Content

Delivering personalized content can significantly enhance the user experience. This includes:

Dynamic Web Pages: Tailor the homepage and landing pages based on the user’s location, browsing history, or past purchases with Advertising agency in Navi Mumbai.

Personalized Emails: Send targeted email campaigns with product recommendations, special offers, and content based on customer preferences and behaviors.

Content Marketing: Provide personalized blog posts, videos, and guides that cater to the interests of different customer segments.

5. Behavioral Triggers

Using behavioral triggers allows you to respond to specific actions taken by customers in real-time. Examples include:

Abandoned Cart Emails: Send reminders to customers who leave items in their cart without completing the purchase.

Post-Purchase Follow-Up: Recommend products related to a recent purchase or ask for a review.

Birthday and Anniversary Offers: Send special discounts or offers on important dates.

6. Loyalty Programs

Personalization can enhance loyalty programs by offering tailored rewards and incentives. For instance:

Personalized Rewards: Offer rewards based on individual customer preferences and shopping behaviors.

Exclusive Offers: Provide special deals and discounts to loyal customers based on their purchase history.

7. Social Proof and Reviews

Displaying personalized social proof, such as reviews and ratings from similar customers, can build trust and encourage purchases. This can include:

Customer Testimonials: Show testimonials from customers with similar preferences or demographics.

User-Generated Content: Highlight photos and reviews from customers who have purchased and used the products.

8. Leveraging AI and Machine Learning

Advanced technologies like AI and machine learning can take personalization to the next level. These tools can analyze vast amounts of data to identify patterns and predict customer behavior, enabling highly accurate and timely recommendations.

Conclusion

Personalization is no longer a nice-to-have but a necessity in the competitive landscape of online shopping. By delivering a tailored shopping experience, you can significantly enhance customer satisfaction, boost engagement, and drive sales. Start by collecting and analyzing customer data, then implement personalized product recommendations, content, and behavioral triggers to create a truly customized shopping experience.

[digateai0]

Driving Innovation: The Future of Social Media Analysis in China

Robust data management is at the core of practical social media analysis in China. Data management platforms (DMPs) are the foundation for gathering, organizing, and analyzing vast social media data. 

https://www.digate.ai/driving-innovation-the-future-of-social-media-analysis-in-china/

[mamun258]

Graphical explanation of interview assignment examples

The opening outline is very clear, and clearly HE Tuber explains the perspective from which you choose to stand, and the objects that you will focus on later.

According to the pyramid principle, questions are asked first and the answers are given directly, and each answer is explained in detail later.

In fact, the page layout of data-type ppt can be very simple. The title of each page tells the problem, and then uses text to explain the conclusion. Finally, a large area of ​​​​data charts is used to confirm the conclusion. It is ok ~ much easier to write than other report-type ppt. .

What do you think is the general purpose of publishing data reports on the platform? Generally, it is either to sell oneself or boast, or to guide the behavior of participants. The common way to use public opinion data now is to discover the voices of users in a timely manner, in addition to monitoring negative feedback~

What we are talking about here is to quickly and efficiently identify creative mini-games through some simple statistical analysis.

 The identification method is likely to be a few indicators. Although this method will not be particularly accurate, it will basically not miss the real high-quality mini-games. After the initial screening, it can be combined with manual identification to judge, which is better than simply screening massive human flesh. A lot can be explained.

What we are talking about here is another method of identifying creative mini games. By training a two-class prediction model, compared with ordinary mini games, it can learn to automatically judge whether a mini game is a creative mini game through a large number of features.

However, this method will not have strong interpretability, because many high-accuracy classification models are black-box, such as the currently popular deep learning. However, even if it is a black box, we can finally extract the importance of variables from the model and let the model tell us which indicators it thinks are better for making judgments.

Identify the creative mini-games and then what? You can’t just hold an awards and commendation meeting and it’s over. It’s best for the platform to give them substantial encouragement. In addition to money, the most practical thing is to directly allocate a group of high-quality users to you to tide over the cold start ~ This page talks about how the platform selects high-quality users and assigns them to these mini-games. It is a bit similar to the logic of recommendation, which emphasizes matching and suitability.

It’s time to talk about making money. For developers of a large number of small games, they need to quickly find users who like to play this game. As a platform, I will make a tool that allows you to spend a small amount of money to find out from WeChat. A group of users, they most likely like to play your game, and then put the advertisements of this game to them, so that more people will play your game in the future and you can make money.

So the platform is a good deal. It allows developers to do business according to my rules, and I even charge money for shouting. But the euphemistic name is that I empower you and help you find your target users, hahaha.

The logic of advertising is similar to the logic of most DMPs, but here I simply put a dynamic adjustment link so that developers who spend money on advertising can not only see the effect of spending money, but also Automatically adjust the way you spend money based on performance.

For example, if you place an advertisement for singles in your circle of friends, and after spending money for a period of time, the platform finds that although the number of users it brings is large, they are all prostitute-type users who don’t spend money with me, so the platform recommends that you narrow down to this. Channel advertising expenditures to increase your overall ROI.

When it comes to plagiarism between games, the same routine applies, with machine prediction first and then manual judgment.

 The underlying logic of machine prediction is that if you are not plagiarizing others, then since it is plagiarism, there must be a lot of similarities. Since there are similarities, it will lead to many similarities in player groups or gameplay, then You should be able to see the clues from the data performance.

If several games look too similar from the data, they are all played by a group of students, and they all love to play in the middle of the night. When they play, they all click violently and then follow the gestures on the screen. If there is a large area of ​​​​swiping, then I will take out these games separately and give them to people to play with and see if they are plagiarized.

Plagiarism is a typical type of cheating. In fact, there are many cheating behaviors. However, the problem with discovering these behaviors in time is that if I don’t know about this method in advance, I can’t find it.

For example, I have never seen a weasel, how do you want me to design a complete set to capture it? But there is a way here, which is not to start with behavior, but to start with people. People who do not follow the rules will always form cliques for personal gain. You only need to find one of them to follow the clues.

There is another way, which is the logic of exception recognition. Although I don’t know your cheating pattern, I can find that your behavior is different from normal. I can still find you through data.

The same structure, but the object of concern is changed to the player~

What I talked about before was how to find users who like you for small games. Now I’m going to talk about the reverse, how to recommend a small game to you that you will most likely like. This will involve the concept of decentralization. We cannot let everyone focus on a few small games at the top, leaving other developers with no food to eat.

This requires carefully designing the timing of recommendations when recommending to users. Here we simply use geographical location and time to intersect and combine different opportunities (such as vacation travel, casual dinner, watching TV on weekends). At different times, people’s mood states are different, and the content suitable for recommendation is different. Advertising and recommendations sometimes have the same essence, which is to say the right words at the right time to the people who need it.

Continuing from the previous page, we further design a small recommendation scenario and give some optimization and improvement suggestions on the existing pages. This suggestion actually also applies to WeChat. It means recommending content to me through friend relationships at different times. But the friends here must be friends that I really trust, not zombies or pretend friends lying in my WeChat list.

The subject of credit scores can actually be big or small. It can be as complex as credit scores in financial risk control, but does it really need to be that complicated? Are the scene requirements consistent? Therefore, we can also go to a smaller level and create some explainable points system that facilitates operational strategies to guide users to compare with some good behaviors.

Finally, I worry that in the structure of summarizing first and then dividing, there are too many “dividing” pages, which will make readers forget the “total” after a long time. So I deliberately added a finishing touch to make the overall structure a total score.

At the same time, this ending is not just a simple retelling of what Che Lulu said, but an attempt to abstract the suggestions and methods mentioned before. Tell the reader (interviewer) what systematic data operations look like in general, and let her once again feel that the suggestions we give are not patchwork. After all, the requirements for this position are level 3–1 (level 9), and the system The ability to abstract and summarize is already a necessity

3. Review and Summary

After the assignment was handed in, I waited anxiously for about 3 days before I got the approval reply. The follow-up meeting with the director was also very pleasant, and no more homework was left (haha!).

It was the first time that Gu Mujun had prepared so much for an interview, doing homework until late at night every day. Although it has been nearly 2 years, I still feel that the methods and methods used in this process are still applicable today: fully understand the business background of the position, combine your resume to prove one by one that you meet the requirements of the recruitment position, and systemize and abstract Sort out and express your understanding and suggestions about the position . These are the final points, oh, and attitude .

This is a typical interview for Gu Mujun as a data practitioner. If you encounter any unforgettable interviews, or encounter any difficulties at work or during interviews, you can leave a message to communicate! Don’t reject anyone who comes, whatever you ask for~

I’m tired, I’m tired, watch some videos and relax~

[josnashak69]

The “aha moment” ignored by B-side companies

For enterprises, if a product comes out but no users understand the core value of the product when using the product, it HE Tuber will easily lose customers. Below, the author compiled and shared an article about the "aha moments" that B-side companies ignore. Let's take a look at it together!

1. “Aha Moment”

Before talking about the main text, we need to first explain what "Aha Moment" is. This concept comes from the concept of "Growth Hacking". "The "Aha Moment" is the moment when the product shines in the user's eyes, and it is the moment when the user truly discovers the core of the product. moments of value (why the product exists, why they need it, and what they get from it).

In other words, this is when users realize why this product is indispensable to them. It’s the experience in this moment that turns early users into power users and ambassadors of the product. "It can be seen that this concept is mainly aimed at C-side products, which can be physical objects or APPs. What I want to say this time is about the B-side "aha moment".

Most B-side solution companies focus on product development and customer lead acquisition, and often ignore the exploration of product highlights. Of course, for a B-side product, the core is still focused on the development of functions and the expansion of scenarios. However, what customers are often concerned about is It is the pain point of current business needs, which is often one or two scenarios and a few functions. When pre-sales are explaining how powerful the product functions are and how rich the scenarios are, customers often have no idea or even have vague concepts.

Relatively speaking, it is easier to communicate with customers such as the Internet and new power car companies, because even if they do not encounter problems, their understanding of the scenario will be brought in quickly. However, for customers from traditional enterprises, their relative operational capabilities and Internet thinking are relatively different. If it is not correct, there will be a lot of information asymmetry problems. It will be embarrassing to say "I almost don't understand this" after talking for a long time in the dark.

The functional layer often has certain understanding barriers with the business layer, so it is necessary to add a presentation layer to help the function explain the purpose, scenario, and meaning of the function, and quickly bring it to the customer, so that the customer "suddenly understands" it. To put it simply, the presentation layer is reports, reports that match functional items, reports that highlight output results and output values, and functions that can make customers shine that are often ignored by B-side companies, which are what I call B-side products. The “aha moment”.

2. Give some actual cases

I have been responsible for digital marketing, that is, CDP, MA, and DMP. MA and DMP are both biased towards business products, which have a lot of data management and data analysis capabilities, so I won’t use these two as examples (yes) If you don’t understand the platform, you can check my previous content). Take the customer data platform as an example. CDP itself is a management platform for customer data. It links upper-layer data for standardized integration and provides data for business layer products to use. MA and DMP both require scenarios. The data accessed from CDP is not limited to these two platforms. You can check the specific applicable scenarios:

Since the attributes of CDP data are more focused, its business operation scope is given priority, that is, grouping, tags, and portraits. Often these cannot highlight the core value of CDP, and its value is more reflected in ID management, ID fusion, and attribute events. Updates and applications tend to have hidden functions; the most common one is comparing CRM with CDP. You see, it also has groups and labels. Is CRM enough?

When encountering this kind of problem, some B-sides come up with a lot of configuration functions, telling customers that they need to configure data sources, configure IDs, perform IDmappng, and flexible attribute events. However, many traditional customers are confused. Marketing is mostly a business-side operation. When Kaka talks about data sources, most people don't understand. This leads to serious information asymmetry and the pain of not getting the point. But if there are several pictures showing the results, and the functional value can be quickly explained

the superiority and inferiority can be clearly understood.

But when it comes to ID fusion, technical capabilities such as big data, graph computing, and pruning are required. However, through image presentation and a correlation diagram, you can clearly see the many IDs associated with one ID and the source of each ID. For different systems, ID fusion is to integrate the IDs and data of each system to form this type of ID map, which is easy to understand.

Similarly, CDP only has data support capabilities, which are called through APIs and other methods. You may not know what the API is when you tell the business, so you need to visualize the request volume. Through charts, you can quickly understand which platform, what is called, and what is called. How much, call trends, etc., can prove in one click that although the business is not used much, in fact, relatively large value will be generated in each system.

To put it bluntly, many systems are back-end systems, biased towards data processing, and are very important for upper-level business support. However, from a purely business perspective, more emphasis is placed on their use of the system. Most enterprises are driven by business needs and ignore the underlying system. Support function, thereby reducing the human and financial support for the underlying system. Once problems occur later, they are often irreversible or require more labor costs to repair.

The same is true for B-side companies. Because there are no business needs or pain points, the underlying system tends to be usable. In many cases, it is not easy to use, let alone the ability to demonstrate concretely.

We often encounter a problem. System B is a business system, and system A is the underlying support of system B. Customers always question why we have to buy system A when buying system B, and what is the use of system A? After purchasing systems A and B, For a while, the company asked for an analysis of the AB system. What value does the two systems provide? System B is a business system and can easily demonstrate performance. System A is the bottom layer and supports the upper layer. If it does not consider the dependence on data and the use of data, It is difficult to realize the underlying value of system A due to the collection.

It is very simple to solve the above problem. It is to present the data in a BI-like way and realize real-time or T+1 update of the data. This not only provides better explanation in the post-deployment business scenario, but also facilitates ordering on the B-side and provides comparison. Much help. People talk about eye-catching, and products also talk about eye-catching. People who don’t understand can tell which system looks better, which system is more comfortable, and which system is more “cool” by putting the two systems together. Although it is a bit one-sided, this This is the “aha moment” for B-side products.

columnist

Guangbo, WeChat public account: Guangbo, everyone is a product manager columnist. He has extensive practical experience in the digital transformation of large enterprises, has product implementation experience in public and private domain marketing, and is familiar with domestic and foreign launch platform rules and application logic.

This article was originally published on Everyone is a Product Manager. Reprinting without permission is prohibited

The title picture comes from Unsplash, based on the CC0 agreement

The opinions in this article represent only the author's own. The Renren Product Manager platform only provides information storage space services.

[jayanthitbrc]

Global AdTech Market Overview – Market Growth Analysis And Key Drivers

The AdTech Global Market Report 2023, provides comprehensive information on the Ad tech market across 60+ geographies in the seven regions - Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa for the 27 major global industries. The report covers a ten year historic period – 2010-2021, and a ten year forecast period – 2023-2032.

Learn More On The AdTech Market’s Growth:

https://www.thebusinessresearchcompany.com/report/Ad tech-global-market-report

As per The Business Research Company’s AdTech Global Market Report 2023, the market size is expected to grow from $15.95 billion in 2022 to $17.95 billion in 2023 at a compound annual growth rate (CAGR) of 12.5%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The global ad-tech market size is expected to reach $27.42 billion in 2027 at a CAGR of 11.2%.

Get A Free Sample Of The Report (Includes Graphs And Tables):

Technological development is a key trend gaining popularity in the ad tech market. Major companies operating in ad tech are focused on developing innovative solutions to strengthen their position in the market. For instance, in June 2022, Vodafone Idea Limited., an Indian-based mobile network operator company, launches its new ad tech platform called Vi Ads, that include artificial intelligence (AI) and machine learning (ML), aimed at giving marketers a programmatic media buying platform. Vi Ads would provide a self-service interface that will give marketers complete control over their campaigns and also allow marketers to engage with the subscribers via a variety of channels, including Vi-owned digital media Vi App, Vi Movies, and TV App, as well as traditional channels such as SMS and IVR calls. The combination of advanced features and ease of use will appeal to both large agencies and small and medium-sized businesses.

The Ad tech market is segmented:

1) By Product Type: Web-based, Cloud-based, On-premise, Other Products

2) By Solution: Demand-side Platforms (DSPs), Supply-side Platforms (SSPs), Ad Networks, Data Management Platforms (DMPs), Others Solutions

3) By Advertising Type: Programmatic Advertising, Search Advertising, Display Advertising, Mobile Advertising, Email Marketing, Native Advertising, Others Advertisings

4) By Application: Large Enterprises, Small and Medium-sized Enterprises (SMEs), Other Applications

5) By Industry Vertical: Media And Entertainment, BFSI (Banking, Financial Services and Insurance), Education, Retail And Consumer Goods, IT And Telecom, Healthcare, Others Industry Verticals

North America was the largest region in the Ad tech market in 2022.

The table of contents in TBRC’s Ad tech market report includes:

1. Executive Summary

2. Market Characteristics

3. Market Trends And Strategies

4. Impact Of COVID-19

5. Market Size And Growth

6. Segmentation

7. Regional And Country Analysis

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27. Competitive Landscape And Company Profiles

28. Key Mergers And Acquisitions

29. Future Outlook and Potential Analysis

Learn About Us:  The Business Research Company is a market intelligence firm that pioneers in market, company, and consumer research. TBRC’s specialist consultants are located globally and are experts in a wide range of industries that include healthcare, manufacturing, financial services, chemicals, and technology. The firm has offices located in the UK, the US, and India, along with a network of proficient researchers in 28 countries. Through the report businesses can gain a thorough understanding of the market’s size, growth rate, major drivers and leading players.

Contact Us:  The Business Research Company  Europe: +44 207 1930 708

Asia: +91 88972 63534

Americas: +1 315 623 0293

Email: info@tbrc.info

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Best Digital Marketing Training in Noida

Noida's thriving digital marketing scene offers a multitude of training institutes, but finding the right fit is fundamental. Our comparative analysis of Noida's best digital marketing training schools reveals DMP School as a standout choice. With a comprehensive educational module, industry-expert workforce, and a track record of successful placements, DMP School leads the pack. Its cutting-edge devices, hands-on experience, and personalized mentorship set it apart. If you're looking to excel in the digital marketing domain, DMP School is the clear choice in Noida.

[fatpos-global]

Data Management Platform (DMP) Market is anticipated to reach 8.7 billion USD with CAGR 14.7% by 2032

Fatpos Global has released a report titled “Data Management Platform (DMP) Market — Analysis of Market Size, Share & Trends for 2021–2022 and Forecasts to 2032” which is anticipated to reach 8.7 billion USD by 2032. According to a study by Fatpos Global, the market is expected to portray a CAGR of 14.7% between 2022 and 2032. According to the market research study, the growing demand for data collection from different sources like CRM data, POS data, web analytics tools, Mobile apps & web, social networks, and more is expected to boost the growth of the Data Management Platform (DMP) Market.

The market research study on Data Management Platform (DMP) Market includes in-depth insights such as:

Data Management Platform (DMP) Market in North America held the largest market share in the year 2021.

Data Management Platform (DMP) Market is classified based on the Data Type into First Party, Second Party, and Third Party.

Data Management Platform (DMP) Market is classified based on the Data Sources into Web Analytics Tool, Mobile Web, Mobile Apps, CRM Data, POS Data, and Social Network.

Data Management Platform (DMP) Market is classified based on the End User into Ad Agencies, Marketers, and Publishers.

DMPs offering improved data protection with AI and the growth of augmented analytics are expected to boost the market growth.

“Benefits offered by augmented analytics like promoting data sharing and business intelligence and better customer engagement are expected to boost the growth of the Data Management Platform (DMP) Market.”, said a lead analyst at Fatpos Global.

Download Free Sample Report : https://www.fatposglobal.com/sample-request/data-management-platform-(dmp)-market-1666

Data Management Platform is a software used to gather and manage data. It helps companies to recognize audience segments, which targets particular contexts and users in online advertising operations. This platform could use artificial intelligence and big data algorithms to practice and analyze huge data sets regarding users from various sources. Advantages of DMPs comprise better insight on markets and audiences, data organization, and effectual advertisement budgeting.

Data Management Platform (DMP) Market is classified based on the Data Sources into Web Analytics Tool, Mobile Web, Mobile Apps, CRM Data, POS Data, and Social Network. The Social Network segment is anticipated to be the dominating segment in the market over the forecast period. The most popular social media platforms used by businesses to advertise their services and goods are Instagram, Facebook, and Twitter. These social media networks gather data and employ it to market products to users.

Key Players in the Market

Some of the key players operating in the Data Management Platform (DMP) Market are Google, Oracle Corporation, Salesforce, Adobe Systems Inc, Cloudera INC, NeuStar Inc., Amobee, MediaMath Inc., Lotame Solutions Inc, V12 Data, Permutive, Piano Software Inc., Exelate, Crux Digital INC, OnAudience, and Other Prominent Players.

Get Valuable Insights into Market

In the latest market study conducted by Fatpos Global thrives to present an unbiased analysis of the Data Management Platform (DMP) Market that covers the historical demand data as well as the forecast figures for the period, i.e., 2022–2032. The study includes compelling insights into growth that is witnessed in the Market. Data Management Platform (DMP) Market is classified based on the Data Type into First Party, Second Party, and Third Party. Data Management Platform (DMP) Market is classified based on the Data Sources into Web Analytics Tool, Mobile Web, Mobile Apps, CRM Data, POS Data, and Social Network. Data Management Platform (DMP) Market is classified based on the End User into Ad Agencies, Marketers, and Publishers. Geographically, the market is segmented into North America, Latin America, Europe, Asia Pacific and Middle East and Africa.

About us An acronym for “Failures Are the Pillar of Success”, FATPOS Global has grown to become an end-to-end market intelligence firm. At FATPOS Global, we have emerged to become a reliable market research and management consulting company that caters to non-profits, corporations, and government agencies. Our aim is to help organizations make the right decisions backed by reliable data, in order to help them meet their growth goals.

Contact Us 74/1, Bindal Chowk, Paltan Bazaar, Dehradun,  Uttarakhand 248001, India +91 (135) 3501691 Email :info@fatposglobal.com Website : https://www.fatposglobal.com

[research-reports-blogs]

The global adtech market size is set to reach US$ 1007.60 billion in 2023. Overall sales of adtech are estimated to surge at 13.7% CAGR, taking the forecasted market valuation to US$ 3638.25 billion by the end of 2033.

The adtech industry is a diverse landscape of companies and products that empower advertisers to efficiently and accurately reach their desired audiences, optimize ad spending, and evaluate the performance of their campaigns. Key offerings include demand-side platforms (DSPs), ad exchanges, supply-side platforms (SSPs), and data management platforms (DMPs).

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Tools Of Performance Marketing 

Performance marketing is a digital marketing strategy focused on driving measurable and tangible results, typically in the form of conversions, leads, sales, or other desired actions. It involves utilizing various tools and techniques to optimize campaigns and achieve maximum return on investment (ROI). Here are some key tools commonly used in performance marketing:

Tracking and Analytics Platforms: These tools help marketers monitor and analyze campaign performance by tracking key metrics such as clicks, conversions, and revenue. Examples include Google Analytics, Adobe Analytics, and Facebook Pixel.

2. Affiliate Marketing Networks: Affiliate networks connect advertisers with publishers (affiliates) who promote their products or services in exchange for a commission. Popular affiliate networks include Amazon Associates, CJ Affiliate, and ShareASale.

3. Pay-Per-Click (PPC) Advertising: PPC platforms like Google Ads and Bing Ads allow advertisers to bid on keywords and display ads in search engine results. Advertisers pay only when users click on their ads, making it a cost-effective way to drive targeted traffic.

4. Search Engine Optimization (SEO) Tools: SEO tools help optimize websites to improve organic search visibility. They provide insights on keyword rankings, backlinks, site audits, and content optimization. Examples include SEMrush, Moz, and Ahrefs.

5. Conversion Rate Optimization (CRO) Tools: CRO tools help improve website performance and increase conversions. They offer features like A/B testing, heatmaps, user behavior analysis, and personalized experiences. Popular CRO tools include Optimizely, VWO, and Crazy Egg.

6. Email Marketing Platforms: Email marketing tools allow marketers to create and send targeted email campaigns to engage with prospects and customers. They provide features like email automation, personalization, and performance tracking. Examples include Mailchimp, Constant Contact, and Sendinblue.

7. Social Media Advertising Platforms: Social media platforms like Facebook, Instagram, Twitter, and LinkedIn offer robust advertising tools for reaching targeted audiences. Marketers can run targeted campaigns, track performance, and leverage audience insights.

8. Marketing Automation Platforms: These tools automate repetitive marketing tasks, such as email campaigns, lead nurturing, and customer segmentation. They streamline workflows, improve efficiency, and provide data-driven insights. Popular marketing automation platforms include HubSpot, Marketo, and Pardot.

9. Data Management Platforms (DMPs): DMPs aggregate, organize, and analyze large sets of audience and campaign data. They help marketers gain deeper insights into their target audience, allowing for better targeting and personalized messaging. Examples include Oracle BlueKai, Adobe Audience Manager, and Lotame.

10. Performance Dashboards and Reporting Tools: These tools provide real-time data visualization and reporting, allowing marketers to track and analyze campaign performance across multiple channels. Examples include Google Data Studio, Tableau, and Klipfolio.

These tools, when used strategically and in combination, empower marketers to measure, optimize, and drive performance-driven campaigns while maximizing their ROI.

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Beyond Titanium: Exploring the Emerging Applications of 3D Printing Metals

What does the 3D Printing Metals Market entail?

3D printing with Metals is a rapidly developing field that allows for the creation of complex and intricate metal parts that would be difficult or impossible to manufacture using traditional techniques. There are several types of metals that can be used for 3D printing, including:

Stainless steel; is one of the most commonly used metals for 3D printing. It has high strength and durability, making it suitable for a wide range of applications.

Titanium; a lightweight and strong metal that is often used in aerospace and medical industries. 3D printing with titanium allows for the creation of highly precise and customized parts.

Aluminum; is lightweight and is commonly used in the automotive and aerospace industries. 3D printing with aluminum allows for the creation of complex parts that are both lightweight and strong.

Copper; being highly conductive in nature, is used in electronics and other applications where high conductivity is required. 3D printing with copper allows for the creation of highly precise parts with complex geometries.

The process of 3D printing with metals typically involves using a metal powder that is melted and fused together using a laser or electron beam. This process is known as selective laser melting (SLM) or electron beam melting (EBM). The metal powder is melted layer by layer until the desired shape is formed.

Avail a free report sample, here, https://www.nextmsc.com/3D-Printing-Metals-Market/request-sample

Who are the Top Producers of Metals for 3D Printing on a global scale?

Comprehensive competitive analysis and profiles of major market players recognize: 3D Systems Corporation, Arcam AB, Carpenter Technology Corporation, Concept Laser GmbH, Eos GmbH Electro Optical Systems, Equispheres, ExOne GmbH, GKN PLC, Hoganas AB, LPW Technology Inc., Materialise NV, Optomec Inc., Renishaw PLC, as few of the leading manufacturers in the global 3D printing metals market, amongst others.

Each of these companies have unique strategies and strengths that set them apart from the others:

3D Systems Corporation: One of the pioneers in the 3D printing industry, 3D Systems Corporation offers a range of 3D printing technologies for metal, including Direct Metal Printing (DMP) and Selective Laser Melting (SLM). They have a strong focus on customization and have developed a range of software solutions to help customers design and print metal parts.

Arcam AB: Arcam AB is a Swedish company that specializes in electron beam melting (EBM) technology for 3D printing with metals. They are known for their high-quality products and have a strong presence in the aerospace and medical industries.

Carpenter Technology Corporation: Carpenter Technology Corporation is a global leader in the manufacturing of specialty alloys and is known for their expertise in metal powders for 3D printing. They have a strong focus on research and development, and have invested in developing new alloys specifically for 3D printing.

Concept Laser GmbH: A German company that specializes in laser-based 3D printing technologies for metals. They are known for their high-quality products and have a strong presence in the aerospace, medical, and dental industries.

EOS GmbH Electro Optical Systems: EOS is a German company that offers a range of 3D printing technologies for metals, including Direct Metal Laser Sintering (DMLS) and LaserCUSING. They have a strong focus on developing new materials and have partnerships with a range of research institutions and universities.

Equispheres: A Canadian company that specializes in the development of high-performance metal powders for 3D printing. They have a strong focus on quality control and have developed a range of testing and certification procedures to ensure the quality of their products.

ExOne GmbH: ExOne is a global leader in binder jetting technology for 3D printing with metals. They are known for their large-format printers and have a strong presence in the automotive, aerospace, and defense industries.

GKN PLC: GKN is a UK-based company that specializes in the manufacturing of metal components for a range of industries, including aerospace, automotive, and industrial applications. They have invested heavily in 3D printing technologies and have developed a range of products specifically for additive manufacturing.

Hoganas AB: A Swedish company that specializes in the development and manufacturing of metal powders for 3D printing. They have a strong focus on sustainability and have developed a range of products using recycled materials.

LPW Technology Inc.: A UK-based company that specializes in the development of metal powders for 3D printing. They have a strong focus on quality control and have developed a range of software solutions to help customers manage their powder inventory.

Materialise NV: A Belgian company that offers a range of 3D printing technologies for metals, including DMLS and SLM. They have a strong focus on customization and have developed a range of software solutions to help customers design and print metal parts.

Optomec Inc.: A US-based company that specializes in Aerosol Jet technology for 3D printing with metals. They are known for their ability to print on complex geometries and have a strong presence in the electronics and aerospace industries.

Renishaw PLC: A UK-based company that offers a range of 3D printing technologies for metals, including SLM and EBM. They are known for their high-quality products and have a strong presence in the medical and dental industries.

Benefits and Drawbacks of the Market for 3D-Printed Metals:

3D printing with metals has many benefits and drawbacks, here are some of the key ones:

BENEFITS:

Design freedom: 3D printing with metals allows for the creation of complex shapes and geometries that would be difficult or impossible to achieve with traditional manufacturing methods.

Material properties: Metals have excellent material properties such as strength, durability, and heat resistance, which make them ideal for a wide range of applications.

Reduced waste: 3D printing with metals reduces waste compared to traditional manufacturing methods, as only the necessary amount of material is used.

Customization: 3D printing with metals allows for the production of customized parts that meet specific requirements and needs.

Reduced lead times: 3D printing with metals can significantly reduce lead times compared to traditional manufacturing methods, as parts can be produced in a matter of hours rather than days or weeks.

DRAWBACKS:

Cost: 3D printing with metals can be expensive due to the high cost of materials and equipment.

Limited size: 3D printing with metals is limited by the size of the printing bed, which can make it difficult to produce large parts.

Post-processing requirements: 3D printed metal parts require post-processing, such as polishing or heat treatment, to achieve the desired surface finish and material properties.

Safety concerns: 3D printing with metals can create hazardous fumes and particulate matter, which can pose safety risks to the operator.

Limited material selection: The selection of materials for 3D printing with metals is currently limited compared to traditional manufacturing methods, although this is improving over time as new materials are developed.

What Primary Factors are Influencing the global market for Metals used in 3D Printing?

The 3D printing metals market has seen significant growth in recent years, driven by a combination of technological advancements, expanding application areas, and increasing demand for custom parts and components. However, like many industries, the COVID-19 pandemic has had an impact on the 3D printing metals market, with disruptions in supply chains and production processes.

Here are some key factors driving the growth of the 3D printing metals market:

Technological advancements: 3D printing technologies have continued to advance, allowing for more precise and efficient printing of metal parts. This has expanded the potential applications for 3D printing metals and increased the quality of the final product.

Customization: 3D printing with metals allows for highly customized parts to be created, which can be tailored to the specific needs of the customer or application. This has led to increased demand for 3D printing metals in a variety of industries, including aerospace, healthcare, and automotive.

Reduced production costs: While 3D printing metals can be more expensive than traditional manufacturing methods for high-volume production runs, it can be more cost-effective for small production runs or highly customized parts. Additionally, 3D printing can eliminate the need for expensive tooling and setup costs, which can result in cost savings.

Increasing demand from end-use industries: As more industries adopt 3D printing metals technology, demand for 3D printed metal parts and components is increasing. This includes industries such as aerospace, healthcare, and automotive.

However, there are also some challenges facing the 3D printing metals market, including:

High capital investment: The cost of purchasing 3D printing metal equipment can be high, which can be a barrier to entry for some businesses.

Limited material options: While there are a variety of metals that can be used for 3D printing, the selection is still more limited compared to traditional manufacturing methods.

Quality control and certification: Ensuring quality control and certification for 3D printed metal parts can be challenging, particularly in industries with strict regulatory requirements such as aerospace and healthcare.

COVID-19 impacts: The COVID-19 pandemic has caused disruptions in supply chains and production processes, which has had an impact on the 3D printing metals market. However, the market is expected to recover in the coming years as the global economy rebounds.

Therefore, the 3D printing metals market is expected to continue growing in the coming years, driven by technological advancements, expanding application areas, and increasing demand for customized parts and components. However, businesses will need to navigate the challenges facing the industry to take advantage of the opportunities presented by this growing market.

Segmentation & Regional Breakdown of the Metals Market for 3D Printing:

The global 3D Printing Metals market share is analyzed on the basis of application, form, product, and geography. Each of these segments plays a crucial role in the overall 3D printing metals market. By analyzing these segments, companies can gain valuable insights into market trends and make informed business decisions.

The 3D printing metals industry globally has significant growth potential in various regions. The North American region is one of the largest markets for 3D printing metals, with the United States being a major contributor to the growth. The region has a well-established manufacturing industry, particularly in the aerospace and defense sectors, which are the major end-users of 3D printing metals. The healthcare industry is also a significant contributor to the market growth in the region.

The European region is another significant market for 3D printing metals, with countries like Germany, France, and the UK leading the growth, alongside the Asia-Pacific region, which is expected to witness significant growth in the 3D printing metals market. Other important regions include Latin America, Middle East and Africa. The growth rate may vary depending on the level of technological advancements and the adoption rate in each region.

Henceforth, the future of the global 3D printing metals market looks promising with significant growth potential in the coming years.