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Today, PR teams aren’t just tracking media coverage and share of voice. They’re also measuring how their brand shows up in AI-generated answers, search summaries, and large language models (LLMs). This new LLM visibility layer is quickly becoming a critical part of PR performance.

15 Must-Have PR KPIs and How to Track Them

Influencer marketing is evolving, and so is the way brands measure success. That’s why Meltwater is proud to announce a new partnership with YouTube, integrating YouTube’s Creator Partnerships API directly into our Influencer Marketing platform.

Introducing Verified YouTube Data in Meltwater Influencer Marketing

See how one platform can power every decision across PR, communications, and marketing.

The Meltwater Blog

Blog Topics: Generative Engine Optimization, Media Intelligence, Media Relations, Social Listening, Consumer Intelligence, Influencer Marketing

Find out how you can leverage Facebook to boost your brand's online presence and gain a competitive edge. Explore the Meltwater category page today!

Facebook Blog | Meltwater

Find out how you can leverage Instagram to boost your brand's visual appeal and gain a competitive edge. Explore our category page today!

Instagram Blog | Meltwater

Find out how you can leverage LinkedIN to grow your professional network and gain a competitive edge. Explore the Meltwater category page today!

LinkedIn Blog | Meltwater

Find out how you can leverage TikTok to elevate your brand with creative content and gain a competitive edge. Explore the Meltwater category page today!

TikTok Blog | Meltwater

Find out how you can leverage X / Twitter to engage your audience effectively and gain a competitive edge. Explore the Meltwater category page today!

X / Twitter Blog | Meltwater

Find out how you can leverage YouTube to create engaging video content and gain a competitive edge. Explore the Meltwater category page today!

YouTube Blog | Meltwater

Every day billions of conversations take place on social media: tweets, posts, comments, blogs, reviews, podcasts, and much more.
Learn how to use social listening to make sense of all of that data.

On our social listening category page, you find all our blogs covering topics around social listening and social media monitoring. Read more.

Social Listening Blogs | Category

Business Reputation Management: What does it take to add reputation management to your marketing strategy? More importantly, how do you keep your reputation sparkly and shiny? Here’s your all-access guide to online reputation management for the long term.

On our reputation management category page, you find all our blogs covering topics around business reputation management. Read more.

Reputation Management Blogs | Category

From your brand's logo to your website, your social media presence to your customer support—these elements combined are what constitutes a brand in the minds of customers. But, there are thousands of other businesses that have a logo, website, social media presence, and website. So, how can you position your business on the market and make it stand out from the competition?
The key to success is branding & brand management!

On our brand management category page, you find all our blogs covering topics around brand management. Build your strategy and reach your goals!

Brand Management Blogs | Category

Competitive intelligence and the act of collecting competitive data can be seen as growth drivers for a company. Our guide will help you understand the concept of competitive intelligence (CI) by answering questions such as: What is the definition of competitive intelligence? How is competitive intelligence useful to organizations? What is the goal of competitive intelligence? And more.

On our competitive intelligence category page, you find all our blogs covering topics around competitive intelligence. Learn how to stay ahead.

Competitive Intelligence Blogs | Category

Let’s dive into the customer journey framework and how to optimize the process by creating a customer journey map and using metrics that matter when analyzing the customer journey.

On our customer journey category page, you find all our blogs covering topics around mapping and understanding the customer journey.

Customer Journey Blogs | Category

What Is Data Analytics? [Beginner’s Guide 2023]
How can I grow my business? 
How do customers interact with my newly launched product?
How do I increase the productivity of my employees?
How do I know if my marketing efforts are working?
We have just two words for you...Data analytics!

On our data analytics category page, you find all our blogs covering topics around AI and data analytics. Technical and still easy to understand.

AI & Data Analytics Blogs | Category

Public relations and media relations can add impact to any marketing strategy. It’s an opportunity for brands to grow their reach beyond traditional sales messages. PR helps to shape the image you want people to have of your brand.
So, what is PR and how do you use it? This guide shows you everything you need to know to build a strong public relations foundation.

On our public relations (PR) category page, you find all our blogs covering public relations and communications topics. Step up your PR game.

Public Relations (PR) Blogs | Category

We all know exactly what the roles of sales or accounting are in a company, right? We might even have a slight idea of what the IT guys are doing.
But there is another business discipline, that plays a crucial role in organizations, even more so during the pandemic – internal communications!
But what exactly do we mean by that, what purpose does it serve and what steps can you take to ensure you and your employees will communicate effectively?

On our internal communications category page, you find all our blogs about internal comms topics. Learn about the intranet, internal newsletters, and more.

Internal Communications Blogs | Category

As the internet has taken root in more areas of our lives — everything from entertainment to shopping to paying bills and more — traditional marketing is becoming less impactful. As any marketer knows, you need to focus on where your audience is if you want to reach them. Since the average person spends about seven hours a day online, it’s no surprise that content has maintained its hold on marketers.

Here's a closer look at what content marketing is and why it matters more than ever in our digital-first economy.

On our content marketing category page, you find blogs about content marketing topics. Learn about strategies, KPIs, tips, and more. Make your content king!

Content Marketing Blogs | Category

The rise of the influencer marketing space – today a $10 billion industry, growing 50% per year – is one of the clearest examples of how social media is transforming traditional marketing. These days having a business website, presence on social, PR coverage, and your own content isn’t enough to compete.
We'll dive into the intricacies of influencer marketing to help ensure that you're equipped with the insights needed to be successful in this space.

On our influencer marketing category page, you find blogs about influencer marketing topics. Build your strategy, find influencers, and measure results.

Influencer Marketing Blogs | Category

Have you just launched a new product or service that you want to get the word out about? Maybe you want to share with consumers why it is awesome and how it is so much better than the one your competitors offer.

Well, then, there is one thing you can't do without...Marketing!

On our marketing category page, you find blogs about marketing topics. Learn about all the different angles and types of marketing and improve your results.

Marketing Blogs | Category

In this guide, we want to give you a peek into the definition of social media management, the daily schedule of a social media manager, social media platforms to promote your business, and the do’s & don’ts of social media management.
Are you ready to begin the journey of becoming a social media superstar?

On our social media management category page, you find blogs about social media management topics. Build and manage your online community.

Social Media Management Blogs | Category

Building a following and using social media platforms to reach a wider audience requires a well-planned social media marketing strategy. In this guide, we’ll be looking at why social media marketing is so essential and how you can make it work for your business.

On our social media marketing category page, you find blogs about social media marketing topics. Learn how to get the highest paid social ROI!

Social Media Marketing Blogs | Category

In the fast-evolving realm of digital marketing and public relations, utilizing the right tools is crucial for success. Our interdisciplinary category showcases all the pertinent tools for digital marketing & PR. These tools help in enhancing your online presence and effectively reaching target groups, whether through reputation management, influencer marketing, or social media management.

On our digital marketing and PR tools category page, you find all our blogs covering topics around mapping and understanding the customer journey.

Digital Marketing & PR Tools Blogs | Category

Generative Engine Optimization (GEO) is transforming how brands show up in AI-powered search. Explore insights, strategies, and best practices to help your content rank and resonate across conversational engines like ChatGPT, Gemini, and Copilot.

Explore insights and strategies for Generative Engine Optimization (GEO) to help your brand stay visible and discoverable in AI-powered search.

Generative Engine Optimization (GEO) Blog Collection | Meltwater

Customer data is the lifeblood of any business. It helps you learn more about the people who buy from you, why they buy, and how to retain their loyalty (among many other things). To put it all together and turn information into value, you need customer data management.

When you can easily collect, store, organize, and access customer data using a customer management system, you have a much better chance of using that data to your advantage. Discover how to drive sales, create better products and experiences, reach new customers, earn referrals, tap into new markets, and build a stronger business.

Let’s explore the ins and outs of customer data management and best practices for using customer data and technology in your data analytics strategy.

What Are the Benefits of Customer Data Management?

Is Customer Data Management the Same as Master Data Management?

Best Practices for Customer Data Management

We define customer data management (CDM) as the intentional, collective approach to managing customer data. This includes the strategy, tools, technologies, processes, and other moving parts that enable data management.

The overarching goal of CDM is to turn information about customers into useful, actionable insights. Sales and marketing teams will use these insights to improve their conversations with customers as well as the company’s products and services.

By using customer data, brands can turn themselves into customer-centric organizations that deliver on what their customers and prospects need and want.

Making customer data management a priority can benefit new companies as well as companies looking to increase their existing customer base even more. A CDM process helps organizations define their target audience and find better ways to connect with customers. And using a customer database software, which we'll go into later, is the best way to stay organized.

These are the key benefits of a customer management system:

Acquiring new customers is no easy feat. It can take multiple impressions to land on a new customer’s radar. Plus, it can cost five times as much to sell to a new customer compared to an existing one.

With customer data, you can win bigger and lose smaller simply by knowing how to connect at every touchpoint in the customer journey. Use your data to find common denominators between customers, such as how you acquired them, what offers they responded to, how much they spend, and other factors. Create lookalike audiences to reach more customers like them.

You can also use customer data to empower your advertising and marketing. Instead of spending money, time, and effort on hollow marketing campaigns, you can add more impact to your campaigns that truly connect with your audience.

According to the Pareto Principle, about 80% of your outcomes come from about 20% of your causes. Applied to sales, this means that about 80% of your sales come from about 20% of your customers!

It’s easier to calculate important metrics like customer lifetime value when you have a predictable, repeatable process for doing so.

A customer data platform can help you identify your top 20% so you can nurture those relationships a little more than the average customer. For example, you might include them in a specialty customer loyalty program that offers discounts, incentives, and other rewards for continuing to be a customer.

There’s no doubt that reliable, real-time data can empower your decision-making. It removes the guesswork about who your customers are, how engaged they are, and other details that can help you find the best ways to reach them.

Things like content creation and advertising will be more effective. Your outreach will be more impactful and intentional. And ultimately, your conversion rates will likely be higher.

Companies that have all of their customer records in one place can avoid data silos that limit progress. Create a more holistic customer view with accurate, consistent data. Avoid the risks of duplicate data or incomplete data that gives you an inaccurate picture of your customers.

A customer management system makes it easy to store all of your customer information in a single location. Teams can access the same data and work toward common goals instead of fearing they’re missing a piece of the puzzle.

Having a dedicated customer management process puts more pressure on companies to maintain high-quality data. Teams that constantly access, view, and use customer data need to trust that it is accurate, complete, and up to date. This encourages companies to establish robust best practices for collecting, storing, organizing, and accessing data.

Both customer data management (CDM) and master data management (MDM) share some similarities. The two aren’t quite interchangeable, though.

Master data management focuses on creating a single source of truth for all of a company’s data. It focuses on everything in an enterprise, including customers, employees, vendors, suppliers, products, e-Commerce and in-store transactions, support tickets, analytics, and more. This centralized source makes it easier to share information throughout the enterprise.

With this in mind, you could consider CDM a slice of the larger MDM pie. Or, you might consider CDM as “customer master data management.”

Customer data management focuses solely on customer data, such as names, phone numbers, addresses, emails, behaviors, and purchase history. Managing customer data becomes more complex as your company grows. Customers may move, change email addresses, get new phone numbers, or switch companies, for example. They might start buying less of one product and more of another.

Having customer data spread out across various systems can lead to inaccurate pictures of your customers. With better management, you get better visibility and can use those insights to improve your decision-making.

A data management strategy is easier to execute with the right customer database software. For many organizations, this might take the form of cloud-based Customer Relationship Management software, or CRM software.

CRMs are made for customer engagement. They offer turnkey solutions to start organizing customer data, create data-driven profiles, and log customer service interactions. They also help you enter the world of marketing and sales automation with ease. Many CRMs integrate with other popular marketing tools via APIs, ensuring your new system instantly becomes more valuable.

However, a customer data platform (CDP) is usually a better solution because it’s purpose-built for the cause.

A CDP serves as an all-in-one hub for all your data sources. You can also link data to specific customer profiles to get a more complete picture of each customer. As new data becomes available, it will automatically link to each customer.

CDPs thrive on both first-party data and third-party data. They usually include features like real-time analytics, segmentation, data syndication and synchronization, identity resolution, and data processing.

Features aside, let’s look at how you can choose a customer database software that supports your sales, marketing, and market research.

Integration with Your Existing Tech Stack

CDPs (and CRMs, for that matter) aren’t standalone tools. Ideally, they’ll integrate with other solutions you’re using to empower your sales and marketing even more.

Your data platforms should unify all systems that collect customer information. This is key in breaking down information silos. CDPs should have the ability to learn about customers wherever they are, including mobile apps, ERPs, CRMs, websites, and other marketing tools.

Tip: Become a data management expert with our ultimate master data management guide!

CDPs can capture a range of customer data. You want to be intentional about the information you store to avoid data overload. Ideally, your CDP will capture information that will make a real impact on your sales and marketing strategy.

Who needs this data (e.g., sales teams, customer service, marketing, etc.)?

Could we make the same decisions if we didn’t collect this data?

Not all CDPs are created equal, even though they’re all designed to do essentially the same thing. Consider your unique use cases and the other tools you’re using to create deeper customer profiles.

In the early days of your company, a “CDP” might have taken the form of an Excel spreadsheet. While that may have worked for a period of time, it’s not designed to carry you through serious stages of growth.

CDPs should position you to scale. They should accommodate a growing customer base, as well as customizable fields as your company adds new products, services, and marketing channels.

No matter the data platform you choose, organizations will benefit from applying best practices to how they collect, enrich, cleanse, and use their customer data.

Data management not only helps you figure out what data to collect, but also how to organize and format it. It helps you think critically about your data and what you expect to get from it.

There are three key parts to data governance: Alignment, Validation, and Enforcement. Alignment refers to how you standardize customer data across the enterprise. Validation is how you test and confirm that data is being collected and formatted properly. Enforcement ensures that alignment and validation processes are upheld, and that data collection and usage go through the proper channels.

Having a data governance strategy gives you something to refer back to when creating or updating your data systems. It keeps everyone on the same page when it comes to your plans for customer data.

The cost of a single data breach is alarming — as much as $8.64 million per occurrence! Companies need to ensure they’re doing their due diligence in protecting customer data — both externally and internally.

This means using best security practices to avoid hacks and breaches. It also means restricting internal access to customer data and using user-based privileges and other safeguards.

A customer data strategy only works if you have your whole team on board. Make sure the right people know how to navigate your CDP platform and how to access and handle customer data properly. Creating a formal training program will likely include input from Legal, Marketing, Sales, and IT. Unify your customer data and create better customer experiences at scale.

Ready to get started? Fill out the form below to get a demo of Meltwater's sales intelligence tools and start using your customer data in more intelligent and strategic ways.

Best Practices for Customer Data Management (CDM)

Data quality matters in every organization's data analytics. But quality isn’t just limited to what the data can tell you. It also extends to its structure because, without a good data structure, you could fail to get the full value from your data.

In simple terms, data structuring is another word for organization. Think about how you organize your own home – you hang your keys in the same location when you come home from work. You have your plates and forks and knives stored in the same place each day – a place that makes sense for those items. Your sheets are on top of the bed, not underneath it. Data structuring works in a similar way. You organize your data in a way that makes sense and is predictable and repeatable.

With this idea in mind, let’s explore the question “What are data structures?”, as well as various types of data structure and how to do it like a pro!

A data structure is a system for organizing or structuring data. Data structures work to collect various types of data (both structured and unstructured), then convert it into usable, meaningful information. The goal is to organize data so that you can do something with it.

There are many types of data structures, ranging from simple to complex. When you take the time to structure your data, you end up with reliable, actionable insights you can use to empower business strategies.

When you’re looking at a single contact form or a paragraph-long social media comment, structuring data isn’t a priority. But over time, the data you create and collect grows – quickly.

Companies aren’t just dealing with forms and paragraphs. They’re reviewing millions of transactions, customers, social media interactions, marketing campaigns, and tons of other activities. It’s simply impossible to find the exact needle in the haystack when you have this much data to manually sort through.

That’s where good data structuring comes in. Data structures systematize the way you input, process, retrieve, and maintain information. It enables you to do something with the data you have.

What’s more, it enables you to take action on your data with greater speed and in an efficient manner. You can self-surface insights without a background in data science.

Once you find what you’re looking for, you can start answering questions and deriving insights.

There are several ways that companies can turn their Big Data into a more organized format. Each of the below basic data structure types has a time and a place. Organizations should know the use cases for each one to achieve the desired outcome.

<div style="background-color: #c4f4f4; padding: 20px;">Data structure is typically classified into two main buckets: linear data structure and non-linear data structure. Linear data means the information is sequential. Non-linear data means the data types are not dependent on a sequence — rather the data is hierarchical, often tree or graph-based.</div>

Some examples of these data structures are:

An array is a common type of data structure. The array relies on a fixed-length list of associative data items or objects. You can determine the order of each value or object based on mathematical formulas. An example of this is if you are ranking a list of runners based on their race times or a list of students based on their birthdays. Arrays are static linear data types.

A tree is a non-linear data type relying on hierarchical data, where information is stored in data nodes. The first data node is the tree “root.” This node may branch off into one or more child data nodes. Think of it like a family tree, where you have a principal piece of data at the top (in a family tree, this would be the grandparents), which is broken down into smaller pieces of data that relate back to the “root” data (such as children, grandchildren, cousins, etc.).

Another example is a binary tree, where each record is linked to two successor records. Each parent node has two children nodes at most. These are usually called the left child and the right child.

Data trees are commonly used when data types have a natural hierarchy, such as an organizational chart. The data tree format is also a critical piece in creating more advanced data structures.  

Similar to a line (or queue), Queues use a first-in, first-out order. The first person or data object in the line is also the first one to leave.

An example of this is a call queue, where calls are handled in the order in which they are received. Or, it might be a shared printer that prints documents based on when users hit the Print button on their own computers. Queues are a linear data type.

The Stacks structure is also a linear data type, but going the opposite direction of a queue data structure. It uses a last-in, first-out order.

For example, if you are creating a graphic in an editing program, the Ctrl + Z function will undo your last move. Or, you might click the Back button in your web browser to go back to the previous web page.

As we explained above, data can be structured in many different ways. It depends on how you want the information displayed, or how it's required to be structured for a particular software or desired outcome.

Here's a summary of data structure examples:

Ranked list: arranging data in a linear way, such as people by birthday, movies by run-time, or cities by population size.

Charts & Graphs: displaying data that is non-linear, and therefore not tied to a specific number that dictates the specific datapoints position. Examples include genealogy maps or org charts.

Process progression or degression: the queue or stacks type of data structure indicates a grouping of items that need to happen sequentially, such as a printer queue. Alternatively, it could involve a function that precedes an action like hitting an "undo" keyboard code.

While there are linear and non-linear data structure types, structured and unstructured are other definitions you may also hear when it comes to data types. Structured data is a very common use case for SEOs — when designed well, it helps your content appear in search engine results as cards or snippets that help encourage clicks to your site!

Structured data: 
Structured data refers to data that’s already been organized. It falls under pre-defined categories or fields and is highly specific. For example, if you’re using a contact form on your website and have specific fields for names, phone numbers, and email addresses, those elements would be considered structured data. Users are able to search for those specific items via database queries without extensive knowledge about data. They’re in usable formats and are typically stored in data warehouses.

Unstructured data
Unstructured data is exactly what it sounds like – Big Data that doesn’t follow any pre-defined format. This type of data requires some data science experience to understand and use. It typically lives in data lakes, where you have to fish for insights and understanding.

Think of structured and unstructured data as a book. A book that resembles structured data would have a cover, a title page, a table of contents, and so on. This is a fairly consistent format among all books. Users can go to the table of contents and see the book broken down by chapters. It has a clear beginning, middle, and end.

If the book were unstructured, we might see all of the same words that are in the structured book but not in any sensical order. The words might not even make full sentences. Chapters might be out of chronological order.

Structured data is often the byproduct of unstructured data and hard work. Data scientists review the unstructured data, then find ways to organize it and make it more useful to others.

Now that you know the answers to questions like “What is data structure?” and “Why does data structure matter?”, let’s take a high-level look at how to structure data in your organization.

Choose which data to structure and how it should look

The most fundamental step of structuring your data is to choose what data you’d like to structure and how it should look. Structuring data is all about standardizing the way data is collected and accessed by the user. Having an idea of what you want to do with your data can inform the rest of the data structuring process, as well as the software you use.

An algorithm is responsible for analyzing, classifying, and organizing data. Machine learning algorithms try to match data to known data types based on the format and nature of the data. They pull data from disparate sources into a single, organized system.

Algorithms are usually written based on the unique requirements of the organization and use case. They automate the process of data classification, in whole or in part. This helps to save time when working with large volumes of data and eliminates some of the need for deeper human expertise.

Besides choosing a data structure type, you’ll also need a place where you can standardize data into a structured form. This might be a database, such as a relational database or SQL database. Both have earned their spot as a backbone in common data structures.

For years, SQL databases have been the gold standard for data structuring. It works with a range of programming languages and supports many data formats. When you’re just starting to learn data structures and options, SQL is a popular choice. This works well for users querying multiple questions of the same set of data. SQL is scalable and works across multiple systems and data sources.

A schema-less database model can also help a business to scale, a critical factor in the era of Big Data. These are known as NoSQL databases, where data nodes can be added quickly. The infrastructure is highly flexible in terms of modeling the data it collects.

No matter how you decide to structure your data, there’s no substitute for intuitive software that helps you get results. Meltwater Display takes the guesswork out of structuring your brand’s online data. From media mentions to social media and customer service, get a 360-degree snapshot of your brand in a centralized source. Get a demo to learn more!

The Fundamentals of Data Structuring

It's no surprise to anyone that the social media platform TikTok has become a household name, especially since the pandemic. In particular, the usage rate of TikTok has grown tremendously in Asian countries such as the Philippines, with over 33 million users.

It is now part of the list of the most-used social media platforms in the Phillippines.

With this massive growth, many companies are making use of the top TikTokers for their influencer marketing efforts.

We have all heard of Niana Guerrero or Yanyan De Jesus who are known globally with most of their audience being international. In this blog post, we're highlighting the top 5 TikTok creators (also known as TikTokers) in the Philippines.

Tip: Take a look at these global TikTok accounts with the most followers.

Coming in at Number 1 - Sai Datinguinoo is a TikTok star that rose to fame in the Philippines during the pandemic.

She is best known for her funny pranks, dance, and lifestyle clips on Tiktok.

Since then, she has become a full-fledged content creator on YouTube as well as Instagram. She has 11.7M followers and 292.7M likes.

followback ko 3 comments na walang like lezgaw!! | ib: @👑𝙏𝙃𝙀𝙍𝙀𝘼𝙇𝙆𝘼𝙍𝙇𝙄𝙏𝘼

Sassa Gurl comes in second place on our list of the top TikTok influencers in the Philippines.

Sassa Gurl gained popularity in 2019. Since then, Sassa has been an icon and strong advocate for queer representation in mainstream Philippine media. Her content features comedic skits and no-filter takes on life and culture in the Philippines.

She has over 6.4M followers and 274.5M likes.

Lahat ng panaginip may meaning:

Francine Diaz is definitely also part of the top TikTok influencers in the Philippines. She also has an impressive following and great engagement.

As the youngest person on our list, Francine Diaz has been in the spotlight since she was 10. As a popular actor, influencer, and content creator, she is best known for collaborating with brands such as Shopee and her wholesome content featuring her family members.

First tiktok of the year nina M. Pac and Bh0$$ fR4nC!n3 🤣🎉 New vlog with Michael Pacquiao on my YT Channel. 🥳

Heart Evangelista is a TikToker with a Filipino following of 81%. Therefore, she should still be a part of our list of the top TikTokers in the Philippines.

Love Marie Payawal Ongpauco-Escudero, known professionally as Heart Evangelista, is a Filipino actress, artist, author as well as an advocate. Her posts on TikTok generally revolve around travel, fashion, beauty, and lifestyle content.

She has over 6.7M followers and 47.9M likes.

Leveled up this cheesecake w/ Eden Cream Cheese 💛 Now show me how you level up your snacktime! #stitch #duet #EdenLevelUpChallenge #ILevelUpAngSarap

80% of Aj Raval's followers are based in the Philippines which makes her one of the top TikTok influencers in the area.

Aj Raval is a well-known Filipino actress as well as YouTuber who rose to fame for her roles in Ang probinsyano. She is the daughter of popular actor Jerich Rawal.

Her content on TikTok centers around funny videos and TikTok dances.

She has over 8.7M followers and 72.2M likes.

Influencers can be a great amplifier of your brand messages and help co-create content to attract new and highly engaged audiences. TikTok, in particular, helps improve the stickiness of multimedia campaigns.

Viewing an ad on TV after seeing it on TikTok increases memory of the TV ad by 13%

An Instagram influencer’s content is 43% more memorable if viewers are primed to the content via TikTok

Viewers are 31% less likely to skip through a YouTube ad if they’ve first seen it on TikTok.

Brands quickly learned the benefits of working directly with creators to capitalise on the undeniable benefits of the creator economy such as opening a revenue stream through social commerce. You can download the latest guide to find out more about the rise of the creator economy and how it is a new opportunity for brands in the Asia Pacific region.

Tip: Learn more about local Philippine social media statistics.

If you’d like more information about how you can manage creator relationships from contracting to content curation while measuring the ROI of your influencer campaigns in the Philippines and all over the world, contact us today to learn more.

The Top 5 TikTok Influencers in the Philippines

As critical figureheads, Chief Executive Officers play a key role in how corporations are perceived by the public, and so it's vital that organizations keep their fingers on the pulse of CEO-focused media.

In collaboration with .companion, a data consultancy and KPI expert, Meltwater presents the 2022 CEO Echo; a monthly media intelligence analysis of CEOs heading up some of the world's largest brands. The ranking leverages Meltwater's media intelligence capabilities and automated analysis by the .companion bot to offer readers highlights and benchmarks across the following areas:

Last month, the .companion CEO metrics bot found 7% more CEO mentions than the average of the previous month. Overall, 47% of mentions captured by the CEO Echo were generated by editorial online content, while social media generated 53%. In July, CEO Echo content saw engagement drop by 91%. 44% of all CEO mentions were related to financial news, meaning they simply referred to company figures that are often required to be disclosed by law. In contrast, the context of 56% of mentions was linked to corporate agendas. Overall, the tonality of mentions was equally positive and negative. 

Herbert Diess, Volkswagen CEO, dominates with 18% CEO Echo coverage 

What role does a CEO play in a company's overall corporate messaging, whether voluntary or involuntary? The CEO Digital Footprint aims to answer this question.

In July, Herbert Diess, CEO of Volkswagen, received the highest amount of media coverage. His share of voice totaled 18.1%, the largest footprint of all top board members. In second place was Bernard Arnault, CEO of LVMH, with 12.0%, and Pat Gelsinger, CEO of Intel, took the third spot with 5.3% share of all mentions. 73% of conversations around Diess’ echo were not related to company financials and thus were above average for agenda-driving topics and content. 38% of the Volkswagen CEO's echo came from editorial media and 62% from social media. Content that mentioned Diess generated 34 interactions (clicks, shares, likes) per mention. This shows that audiences are highly engaged and made Diess the 78th most engaged CEO in the ranking. In total, mentions for Herbert Diess were more open negative than positive. We can assume this had a corresponding impact on his overall reputation. 

Leonardo’s CEO, Alessandro Profumo, takes the number 1 spot 

Two common goals widely shared by media teams are communicating key messages and building a favorable reputation, both of which rely heavily on editorial mentions. The Communication Excellence ranking analyses and aggregates media volume (removing financial report listings).

Alessandro Profumo, CEO of Leonardo, was ranked first in July. Outside of the paywall, 67% of his digital echo discussed the CEO in stories beyond financial figures. Stories generated 369 engagements per mention, signifying readers are highly interested. Furthermore, coverage was more positive than negative. As a result, the response to Leonardo’s CEO received 4.6 points. Rolf Eberhard Buch, CEO of Vonovia came in second place with a score of 3.4, and Hylton Kallner, CEO of Discovery, took third place with a Communication Excellence score of 3.3 points. 

Social Excellence 
Victor Massiah, UBI Banca’s CEO, wins first place 

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