Navigating the Top Challenges Faced by Publishers

The publishing industry is currently undergoing significant transformation, driven by digital innovation and ever-evolving consumer behaviors. There are several challenges faced by publishers that require strategic solutions, that will allow news media to stay current and ahead of the competition. Here, we explore the primary issues faced by publishers and the strategies top news media companies are employing to address them.

Revenue Generation in the Digital Age

Traditional revenue streams for publishers, such as print advertising and physical subscriptions, have seen a steady decline. The shift to digital news media demands that publishers develop new ways to monetize their content. Digital subscriptions and paywalls have become popular methods, with many publishers limiting paywalled content, not entire issues, to entice readers to subscribe. 

However, the newer audiences are more reluctant to adhere to paywalls in digital news websites, with about 68% of Millennials and Gen Z audiences being more likely than older consumers to avoid sites with paywalls and searching for ways to get around them without paying. But that does not mean publishers aren’t looking for solutions for this landscape. 

For example, The New York Times has successfully increased its digital subscriptions by focusing on investigative journalism and exclusive stories, which attract and retain loyal readers. They also offer tiered subscription models that provide different levels of access and content to cater to a wide range of audiences.

Advertising strategies have also evolved, with publishers leveraging data to offer targeted ads and personalized experiences for users. In this sense, AI is useful to gather analytics that can help publishers gain deeper insights into user behavior, besides automating ad creation and allowing publishers to collaborate with brands to create sponsored articles and videos.

Enhancing Audience Engagement and Retention

In a digital landscape flooded with free content, attracting and retaining readers is a significant challenge. Publishers are now focusing on creating personalized and engaging content to stand out. Mobile optimization is also crucial, as more users access content through smartphones and tablets. 

Interactive features, such as polls, quizzes, and live chats, also help to engage readers and keep them coming back for more. As part of its content strategy, Fox Sports leveraged the power of these features to drive longer session times and increase engagement by 64%.

To improve engagement, The Washington Post has invested heavily in technology, including AI and machine learning, to offer personalized content recommendations. This not only enhances user experience but also increases the time readers spend on their platform, leading to higher engagement rates.

Digital Transformation and Technological Integration

The transition from traditional to digital platforms is one of the many challenges faced by publishers, which many are still learning to navigate. This includes optimizing websites for mobile use, integrating AI for content creation and curation, and adopting new technologies to streamline operations. Mobile-friendly websites are essential, as Google prioritizes them in search results, thereby driving more traffic​. 

Publishers need to ensure that their websites load quickly, are easy to navigate, and offer a seamless user experience across all devices. The Atlantic reports that over 90% of websites receive more traffic from mobile devices than from desktops, making mobile optimization a top priority for digital publishers​.

Competing in a Saturated Market

The digital space is saturated with a myriad of content creators and platforms, making it challenging for individual publishers to distinguish themselves. To address this, publishers are focusing on niche markets and producing unique, high-quality content that sets them apart. This strategy not only helps in attracting a dedicated readership but also allows publishers to cater to specific audience interests more effectively​.

Addressing Data Privacy and Security

With the growing importance of data in driving personalization and advertising, publishers face increased scrutiny regarding data privacy and security. Compliance with regulations like GDPR is essential to protect user data and maintain trust. Publishers must balance leveraging data for business insights while ensuring they adhere to legal requirements and protect user privacy​.

Investing in robust technological solutions helps publishers not only collect and store data safely but also take advantage of first-party data and gain a deeper understanding of their audiences’ behavior, preferences, and even which device they use. 

​​Google research has found that using first-party data in marketing campaigns leads to a “2.9X revenue uplift.”, also helping companies cut costs by up to 1.5x. As a result, publishers can help cost-conscious advertisers stretch their ad budgets further.

Staying Ahead in a Rapidly Evolving Industry

The publishing industry is at a crossroads, with digital transformation presenting both challenges and opportunities. By adopting innovative revenue models, enhancing audience engagement, integrating advanced technologies, and maintaining a strong focus on data privacy, publishers can navigate this complex landscape successfully.

Industry leaders like The New York Times and The Washington Post are setting examples by embracing these changes and continuously evolving to meet the demands of the digital age. As the industry continues to evolve, staying informed and adaptable will be key for publishers aiming to thrive in the future. Learn how Arena’s Live Chat and Live Blog no-code features can help you navigate some of the biggest challenges publishers face with the ever-accelerating market landscape.

How Customer Data Platform is reinventing customer relations

Using a Customer Data Platform is helping companies to focus obsessively on their customers and benefit from their engagement.

You need to know your customers—this isn’t any news. It doesn’t matter if you want to make them more engaged, optimize your budget for campaigns, or improve your ROI.

Customer accurate information is at the heart of every company and should be treated correctly to generate powerful outcomes from your marketing efforts.

If you don’t have a consistent understanding of your consumers, then all your strategies will likely go down the drain.

But how exactly do you get to act like you know your customers? The answer is simple: by managing their data.

To treat data thoroughly and reach your customer relationship goals, you might come across the need to use the right technologies. This is when the Customer Data Platform (CDP) walks in.

A customer data platform monitors and tracks multiple data sources to bring relevant information to a single hub that is easy to access and understand.

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Once implemented, CDPs collect, integrate, manage, and analyze customer data continuously. These automated processes help many teams to focus on solving complex problems that require a human brain. At the same time, a Customer Data Platform brings current, real-time data to be leveraged and turned into marketing master plans.

Why do companies use Customer Data Platforms?

Is there a reason why companies implement a Customer Data Platform in their business models? Yes, many.

According to Gartner, plenty of marketers look to customer data-driven strategies to deliver growth. For example, marketers invested two-thirds of their budget in supporting relationships with their customers in 2017 and 2018. 

Still, they have found the technology they were using to be frustrating—until CDP’s unique upshots came out as a solution to their problems.

A Customer Data Platform reaches out for several channels and concentrates real-time data in a single place your team can access whenever it is convenient.

This stimulates a collaborative work environment and speeds the pace of operational routines. Customer Data Platforms are also known for making marketers’ lives less complicated since automating workflows would take too many working hours to be accomplished.

The other reason companies use Customer Data Platforms is that they are much more than a simple database. According to the CDP Institute, the ideal Customer Data Platform should contain five essential capabilities:

  • Absorb data from any source
  • Give full details of ingested data
  • Store data without end and frequently
  • Create unified profiles (such as personas)
  • Share data with any system that needs it

All of the five skills above drive brands into having a vigorous understanding of their customer base by collecting and analyzing reliable data across their marketing channels.

What types of data does a Customer Data Platform assess?

The types of customer data assessed by a CDP can be quantitative and qualitative. 

In other words, by using a CDP, you will be able to figure out:

  • How to identify your customers, using personal data
  • How to interact with your customers, using interactional data
  • How customers expect to be impacted by experiences, using behavioral data
  • How your customers perceive your brand, using attitudinal data

The datasets above are being generated at all times in any digital environment and should be combined to create an unbeatable and absolute customer understanding.

But how do CDPs gather such different information?

They reach out to analytics reports, engagement measures, support occurrences, eCommerce metrics, and customer feedback (to quote a few), to maximize your knowledge and equip you with fast, accurate moves.

This is the main reason why CDPs are revolutionizing the way brands communicate with customers and vice-versa. They are an unlimited and underlying base for companies to create remarkable customer experiences and increase customer engagement in a way we have never seen before.

The effects of CDP in customer experience

A Customer Data Platform grants companies an invincible competitive advantage: passionate customers who keep being fed with reasons to remain brand loyal.

Historically, we can see customers have adopted technologies faster than the brands they interact with. This made companies try to embrace digital transformation technologies focused on customer experience to reach out to consumers where they are and how they want.

Expanding your brand’s online presence to talk to customers in multiple channels isn’t enough, in any case. Any company can create an Instagram account and interact with its audience then and there, right?

However, the ones that truly stand out are focused on delivering personalized, relevant, well-designed interactions that take place as soon as customers want.

Tailored customer interactions should happen anywhere, at any time. This is the main reason why organizations around the world are digitizing their business models. According to the Boston Consulting Group Research, personalization will drive an $800 billion revenue shift to the top 15% of companies that work best on it, in only three industries.

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I know what you’re thinking: that’s much profit for a small number of companies—and yes, it is. Even so, it sounds like a warning: companies that aren’t ready to turn personalization ordinary in their marketing campaigns, will be left stranded.

As you know, doing a great job on personalization is all about knowing everything there is to know about your customers and quickly activating your knowledge when needed.

Can you notice any coincidences between this goal and the usage of a CDP?

How CDPs are reinventing customer relations

Suppose you’re leading digital initiatives to deepen the relationship between your customers and your brand. In that case, you should pay attention to the changes CDPs are leading in customer management and how it differs from other popular marketing tools.

A Customer Data Platform is way more complete than a Customer Relationship Management (CRM) software.

CRM will tell you how to personalize and improve existing customer relationships. Meanwhile, a CDP will do that and indicate how you can promote products and services and what you should do to attract new customers.

With the new untapped potential CDPs unleash, companies are increasingly confident in meeting market changes and customers’ preferences. Hesitating in our competitive world is no longer an option, and data-driven marketing plays a vital role in feeding companies with unequivocal customer interactions.

Ahead, we have numbered a few ways Customer Data Platforms reinvent customer relations to inspire you and your team.

1. CDP enables segmentation opportunities

While it simultaneously optimizes strategies, a CDP provides companies with a 360-degree view of customers to act on an essential customer experience requirement: segmentation.

Segmenting customers by specific traits, behaviors, attitudes, and others is a fantastic opportunity to create tailored marketing touchpoints throughout their journey and attract them with meaningful content.

When based on data, segmentation is an unmatched growth engine that encourages customer loyalty and enhances profitability.

2. A CDP gives your interactions a personal touch

Similarly, you can not spell personalization without customer data.

Owning a Customer Data Platform will help you quickly access reliable information to customize customer interactions, making your consumers feel special, and long-term relationships feasible.

Many companies are using CDP for Customer Data Management. See below how their tactics connect with top-level personalization:

3. A CDP enriches customer relationships

There isn’t enough emphasis on how knowing your customers is essential for customer relations.

People expect to be treated accordingly to their visions as much as they wish to connect emotionally with brands. A single miscommunication can harm brand-customer relationships irreparably.

As soon as you have a panoramic view of your customers’ habits, preferences, needs, and issues, you should feel more confident in building specific touchpoints that elevate the customer journey and make customers want to hang around you for longer.

Owning a Customer Data Platform will also measure your customer loyalty programs’ effectiveness and help you find what groups of customers deserve attention according to their life cycle.

4. A CDP is agile

Agile methodologies are the perfect response to a world that is changing every day, every hour. CDPs consider our ever-changing environment and let your team access specific data whenever it needs, contributing to an agility mindset.

Agility layers can be used to shape CDP frameworks that adjust to your company’s infrastructure, turning data sharing into a reality. CDPs also absorb data from other internal systems, like CRMs and Data Management Platforms (DMPs), you might already have.

Apart from that, CDPs update in real-time. This allows you to assess micro-moments data and instantly operationalize it.

5. A CDP ingests data from any source

Your customers are everywhere these days, right? You can find them on social media, navigate your website, read your emails, download your app, and take a look at your physical store. The interaction possibilities between your customer and your brand are countless.

If truth be told, it truly doesn’t matter where your customers are and what they’re doing. Whether they’re reading your blog or using your chatbot, data is being generated at all times, collected from simple interactions to complex operations.

A Customer Data Platform reaches out to any source of information, from Live Chats to SEO, from blogging to Twitter, from customer loyalty to affiliate marketing programs to provide your company with everything you know about your potential and current consumers.

6. A CDP elevates digital transformation

Simply, a digital transformation process should rely on—and a lot!—on a Customer Data Platform.

By watching digital-native organizations, it becomes clear that many technologies can be embedded to digitize businesses.

However, it is worthless to implement technologies that don’t accurately connect with customers’ needs. Digital transformation starts and ends with the customer, transcending traditional marketing, sales, and customer service roles.

That being said, without a reliable Customer Data Platform, companies who are digitizing their operations will mostly fail to unleash the real potential of a digital transformation.

Digital-native companies have already built their business model based on data collection and responding to customers’ needs with high-level experiences.

These companies combine traditional marketing strategies, such as loyalty programs, with groundbreaking digital initiatives that connect with customers in real-time and engross their engagement.

Remember: It is crucial to direct your digital transformation efforts into interactions that engage your audience, and a Customer Data Platform is intimately related to that.

It taps into your databases to unify relevant information and operationalize customer knowledge, delivering targeted experiences that will delight and retain your customers.

It should also be stated that CDPs assist companies in taking a step back and revisiting their processes to leverage technology cleverly.

For example, Netflix was quick to turn its service into a scalable streaming platform that replies to customers’ demands. The now-sector-leading company could only reinvent itself because it took a very attentive look at customer data and responded accordingly.

Align your digital initiatives with the power of a Customer Data Platform

While IT staff has been skeptical for a while, digital leaders worldwide have been engrossing CDP in their workflows and getting amazing results from data management automation.

Not only has perfect treating data been helping these leaders come up with customer-centric solutions, but it has optimized their budget and turned manual work more effective.

Forbes Insights highlighted that 44% of surveyed organizations stated a Customer Data Platform is helping drive customer loyalty and increase ROI.

Arena serves customers from 120 different countries and sees firsthand how the fast-paced digital environment influences global market changes day after day.

That is why we work to build awareness for digital leaders and marketers to embrace Customer Data Platforms in their full potential and boost customer engagement.

In case you need to further your research towards the CDP role for the upcoming years, download our Customer Data Platform 2020: the future of marketing and sales ebook and take a deeper dive.

An essential guide to Customer Data

Customer data is the key to understand customers beyond the confines of your own strategy, which makes you avoid dangerous assumptions to create relevant products and experiences.

Continuously data analysis will help you to come up with strategies that cover the market’s lacking points and elevate your marketing to a more meaningful approach. 

We are witnessing a new customer era. Every company’s engines work daily to think, develop, and incorporate business and marketing strategies that put customers at the center of everything they do. 

This new approach does not strike the market as a surprise. For the past years, with so much information in the palm of their hands, customers became more demanding and more willing to connect with brands that make proper use of their information to deliver more than just basic products and services.

If you have been paying attention, you already know customers value experiences more than anything else these days. This means true engagement will only be achieved by a remarkable customer experience that elevates your brand and creates a sense of connection with your audience. However, planning an exceptional customer experience takes a wide understanding and a sharp knowledge of how to solve consumers’ issues.  

That is why customer data is definitely here to stay.

What is customer data and why does it matter?

Customer data is all the information a company gets from consumers whenever they interact with it. Whether it is personal, psychological, or demographic, customer data help companies clarify facts and avoid assumptions when thinking and refining business strategies related to customer experience.

The importance of customer data is related to the incessant need to build a strong customer understanding. Many organizations have already noticed that, by using data as a pillar, their operations draw near customer satisfaction and proper marketing approaches that return investments and reduces waste. On the other hand, without concise information about their customer base, companies fail to engage their audience and make sense of the many market opportunities datasets provide. 

Customer experiences are tremendously affected by customer data, which means the right data extraction, validation and analysis are crucial to generate accurate outcomes that will enhance marketing and business plans. Customer data matters so many companies have embarked on customer data management (CDM) to correctly address data in their goals and daily work.

With trustworthy data at the palm of your hand, you will feel more confident in tactics to contact, acquire, and retain your customers, keeping their interest, and offering them exceptional engaging interactions. Customer data will also support your financial decisions, assisting you in where and when to allocate your budget.

How is customer data created?

As you read, a massive amount of data is being created. All around the world, people are navigating desktop and mobile devices. It doesn’t matter if they are shopping, replying to an online survey, or filling a lead form to get in touch with a software development company. Each of their digital interactions with brands creates data — which continuously provides the basis for algorithms to produce more data.

According to Deloitte in its Global Marketing Trends 2020 report, 90% of all global data were produced in the last two years, considering more than 26 billion smart devices circulating the globe.

Aware of data potential, the market has amended digital initiatives to maximize data collection, extraction, and validation methods. Big data analytics have been embedded to extract useful information from huge datasets, such as CRMs, that can’t be manually validated. Simultaneously, data scientists have been growing as popular as the need to adopt a data-driven culture

These market signs alone are an extremely important indication that data is everywhere, and companies that don’t welcome it proactively will be in a tight spot.

Types of Customer Data

Customer data is separated into four main categories. In their own way, these categories will help you enhance the customer experience in different and empowering perspectives. 

Personal data

Also known as identity and basic data, this type of information allows customers to be recognized by individual details and is divided into linked and linkable information.

Every information that can be used to identify a person without extra details is linked personal data — full names and emails, for example. Date of birth, physical address, and phone numbers are linked personal data too.

Now, linkable information doesn’t identify on its own. Still, when combined with other pieces of information, it is useful to draw a bigger picture. ZIP codes, age, gender, job titles, education level, marital status, and number of children are examples of linkable personal data.

Interaction data 

If you ever wondered how your customers behave on your website, or how they interact with your emails and your social media accounts, interaction data will answer all of your questions.

Sometimes known as engagement data, interaction data brings a meaningful and solid viewpoint of how customers interact with your brand’s touchpoints. 

Examples of interaction data are: Time spent on your website, page views, social media engagement, traffic sources, customer service feedback, and paid ad conversions.

Behavioral data

If you want to know how customers respond to experiences with your products and services, pay attention to behavioral data. 

This type of data assists you to have a deeper understanding of behavior patterns your customers have throughout the purchase journey. This means interaction data may or not be considered behavioral data — it depends on the big picture and the goals you wish to achieve.

Some examples of behavioral information you can track are: Previous purchases, website heat-maps, customer loyalty program usage, repeated actions related to your products, and CTAs clicked. 

Attitudinal data

The fourth and last type of customer data is related to how consumers perceive your brand. Unlike metrics you can easily measure, such as product purchases, click rates, website visits, and social network interactions, attitudinal data refers to emotions and individual opinions. It embraces feelings, which makes them highly subjective — that explains why this type of data is also referred to as qualitative data. 

Continuously mining through attitudinal data will get you closer to proactively responding to consumers’ issues and anticipating trends they might be interested in. This is the perfect chance to get to know your consumers’ individual preferences and their point of view towards topics that interest you.

Attitudinal data examples are: Customer lifestyle, motivations, pain points, sentiments, and desirability. Customer reviews are excellent to gauge this sort of information.

Collecting customer data

As we have already emphasized, digital transformation has made every channel a powerful source of customer data. If your customers are interacting with your marketing and shopping channels, you can easily extract customer data from them using Customer Data Platforms (CDP).

There are several ways to collect customer data from distinct data points, and they depend on your goals.

That being said, before jumping to conclusions on which channel is the best to collect data from, make sure you address your data goals first. Is it to accelerate revenue? Develop new products? Get a more precise understanding if you ought to invest in a new marketing campaign? Start with the why, and then move forward.

More than predicting upcoming trends, recall that customer data should be highly attached to things that happened in the past. Past customer sales, buying decision patterns, abandonment rates (and much more) can be extracted from customer data to develop better strategies that respond directly to what your consumers did and said months, weeks, and days ago.

We have compiled some collecting data options ahead.

1. Website Analytics

Web analytics reports are excellent to understand what is resonating with your audience and how they are talking back to you. 

When investigating this type of report, remember behavioral data insights can be extracted from heat-maps, bounce rate, page views, and even the devices your target market uses the most.

2. Social media engagement

Social media-based data can tell you a lot of things. Shares, likes, and comments on social media are basic engaging metrics you can measure to understand what customers think about your brand and what type of message they enjoy. You will likely get a good amount of data from social media analytics to make sense of customers’ sentiment towards you.

We highly recommend you to go even further and run social listening while analyzing social media insights. This will guarantee you interpret your customers’ interactions more accurately.

3. Customer interviews and feedback surveys

Feedback is crucial. Whether customers love what you’re doing or criticize it, you need to be available to take their considerations and opinions into account.

When done right, customer interviews, and feedback surveys will gather your audience’s interests, opinions, preferences, and how you can improve your products and services to serve them better.

Another data collection suggestion is to investigate customer churn. This explains the reason why some customers buy from you for a while and then leave. What affected their experience so they felt like not coming back? Is there anything you can do to improve this experience and avoid other customers from turning their backs on you?

If you’re looking for ways to extract behavioral and attitudinal data, consider searching for customer feedback and combine this information with other data to get a bigger picture.

4. Contact information 

Contact information is vital to customer data. If you wish to communicate with your consumers, you should know where to find them according to the stage of their journey.

From phones to physical addresses and social media, contact information is needed to build a good amount of personal data you can rely on.

5. Customer service

Customer service is related to feedback but contains high potential itself. It is critical to allow customers to reach out to customer service software enabled to bring useful data your way. 

As a consequence, customers can quickly seek help for big and small issues and solve their problems more easily all while providing you with more information.

Validating customer data

As vital as it is, customer data is useful when you are ready to properly extract and validate it. This means you need to find actual helpful information from your data sources, and pull them out to understand how valuable they are. This is what we call data extraction — and it will prevent you from swimming in a random sea of data.

Data extraction uses the right tools to streamline data from customer experience to marketing, and makes sure the information provided is useful for your teams to make better decisions.

To avoid wasting all the money, time, and effort you put into collecting data, there are some essential considerations about customer data validation you should pay attention to:

  1. Customer data must be a source of truth and facts about your audience: Above all things, remember customer data is supposed to assist you in using factual information to come up with fitting solutions. For this reason, the data you extract must be reliable and revolve around your clients. If the data you’re extracting isn’t customer-centric, you better reconsider why it is important.
  1. Customer data must be goal-oriented: Exploring multi-channels to extract data from without a clear goal in mind might lead you to conclusions that don’t make much sense. Make sure you know what your goals are from the beginning and set milestones to measure your progress. This will help you visualize how much data is affecting your operations and what else can be done.
  1. Customer data must be integrated: Thanks to technology, data can now be transferred from one channel to another in a matter of seconds — and that is essential to every company that needs fresh information to anticipate opportunities and maximize their potential. By using customer data integration (CDI) tools, you ensure information gets to the right people and set a pattern to collect, organize, unify, and visualize customer data wholesomely. Best of all, CDI automates these processes and cuts down routines that take time. This means your human resources will have more time to focus on what they’re good at: Finding perfect responses to all the data software and algorithms have extracted and assembled for you.
  1. Customer data must be contextualized: In-house data, also known as first-party data, should be combined with external data to give the information you’re putting your hands in a more precise context. There are two types of external data you can blend with your in-house insights to ensure a broader understanding: second party data and third party data. The second party data is the information provided by another company towards the audience that interests you — this type of data is usually shared between partners. In the meantime, third party data is collected by companies that don’t have a link to customers and sell information to other organizations. These data types can enrich your first-party data and elevate your insights.

Customer Data Analysis

Customer data analysis is crucial to any customer data strategy. Wrong data analysis might cause disconnected and poor responses from brands to erupt and bother customers with interactions they don’t need nor asked for.

As complex as it might sound to gather validated data to be analyzed, some special technologies can help the process be smoother and more efficient. Data mining is one of them. By mixing machine learning, statistics, and artificial intelligence (AI), data mining can analyze loads of data using sharp techniques —and the greatest thing about it is that its analysis is automatic.

Analyzing quantitative data

When it comes to quantitative data, you might come across the need to categorize it according to some classifications and segmentations. Or, perhaps, you will notice it is necessary to relate different data points and comprehend how specific characteristics affect the customer experience. Luckily, data mining provides many programmatic settings that can be adjusted to return the insights you are looking for. 

If you’re willing to fragment customers to create more dynamic and creative ads, customer data analysis will help you find segmentation opportunities. If your team needs to associate behavioral patterns to develop a new campaign, customer data analysis will gather helpful information to predict how people will respond to your strategy. The opportunities are countless.

Analyzing qualitative data

On the other side, when we talk about qualitative data, many companies face the challenge of making sense of subjective information, such as sentiment. People’s emotions and feelings vary individually, and being stuck in the middle of so many variations is an uncertain place for your company to be at. If you’re wondering how to absorb valuable insights from this context, we have good news for you: there are ways technology can track important keywords to translate qualitative data into actionable decisions.

When analyzing qualitative data, pay attention to patterns that might make the situation clearer. Are your customers using the same keywords when they give feedback? Are the stories they tell somehow similar? Are there common elements in the ideas they communicate that can help you create a further sense of how they feel about your brand?

Take advantage of what customers say to you in feedback interviews, surveys, and methods of the sort, to gather enough data and take action. 

Benefits of Customer Data Analysis

Relying on customer data will benefit you in countless ways. To help you understand how, we’ve listed some benefits in-detail right ahead:

1. Segmentation

Segmenting your customers is a smart way to get a broader view of what their issues are and how you can reach out to them more effectively. Separating them by age, demographics, gender, job title, and more makes it easier to plan specific marketing campaigns that will straightforwardly attract them, whether your goal is to attract them, engage them or make them buy more.

2. Personalization

People no longer wish to be contacted with general messages that lack a personal touch. Customer experience is a synonym of personalization and, if you don’t use data-based strategies to customize interactions with your consumers, it is highly likely that they will get frustrated by irrelevant content and mass communication. In contrast, personalization increases service quality and customer satisfaction.

3. Deeper audience understanding

Data is becoming the centerpiece of companies that desire is to remain relevant in customers’ minds. This happens because, without a detailed and precise understanding of their audience, companies will hardly add value to their customer base. 

Customer data is the key to understand customers beyond the confines of your own strategy, which makes you avoid dangerous assumptions to create relevant products and experiences. Continuously data analysis will help you to come up with solutions around creative, data, and media — the right combination to empower your marketing and business approaches.

4. Revenue

When used correctly, customer data helps you understand how to increase your consumers’ loyalty and lifetime value, reducing churn at the same time. It also gives you a better understanding of where to invest in valuable campaigns and trends that will bring you more ROI.

5. Humanization

Human connection isn’t just another trend. The fact customers need to embrace companies with a purpose is changing their relationships with brands. People don’t want to be treated as a transaction. On the contrary, they expect companies to act authentically and be transparent in what they believe in, treating them individually. Pulling the right customer data contributes to humanize your brand so it corresponds to these expectations. It also frees your team to have more time to focus on how to genuinely engage customers. 

Data-base your decisions

Now that you’ve come to the end of this article, you know there isn’t space for assumptions to guide your brand’s decisions anymore. More than ever, new ideas and improvements need to connect with customers’ expectations. In this context, embracing the right technologies to collect, extract, validate, and analyze data is crucial. 

To find out more advantages that the use of Customer Data can provide for your company, contact one of our consultants, and resolve any doubts on the subject.

Data-driven marketing: learn how to work it with your customers

Data-driven marketing belongs to a new customer service approach that unleashes companies’ potential to make better, scalable marketing decisions and benefit from higher marketing ROI. It represents the future of customer experience and meaningful branding messages.

You already know what people say: Knowledge is power. Facts, information, and skills acquired through experiences are gold mines for every company that wishes to stand out and stay relevant in their customers’ minds.

Customer data platforms tells marketers everything they need to know about their target audiences. Through digitalization and its multi-channels, it became possible to trace people’s actions across the digital and physical worlds to optimize the process of offering customized products and services that match individual needs.

However, these days, data must be smooth to access and easy to visualize. This happens because customers want quick responses, which timing and effectiveness are highly affected by delays and assumptions.

In this unforgiving environment, are you confident that your marketing decisions are based on facts? When important events on your field take place, how quickly can you respond to them? How many customized experiences do you actually deliver to your customers?

If the answers to those questions concern you, you’re at the right place, at the right time. Get ready to know how data-driven marketing can take you closer to the answers you wish you could give.

In this article, you’ll find out:

  • What is data-driven marketing;
  • Data-driven marketing benefits;
  • Impacts on customer experience;
  • How to work data-driven in consumer segmentation;
  • And examples of data-driven culture.

With that in mind, let’s move forward.

What is data-driven marketing?

Data-driven marketing is a strategy that uses customers’ reliable information to personalize whole marketing communications and experiences. From buying journeys to targeted media and in-store service, data-driven marketing accesses massive information to leverage decisions and make the right judgment about what customers need. This helps marketers to refine strategies based on facts, not guesswork.

But where does data-driven marketing get all the information from?

When you use your phone’s mobile apps or desktop devices to web navigate, you’re leaving traces all around the internet. The applications you use are designed to send data to companies so they know what websites you access, with who you’re interacting with, the locations you have been to, and more relevant information that clarifies your individual preferences and lifestyle.

Many organizations are already worried about data, but we must call attention to the fact that data-driven marketing goes beyond data itself.

The many devices, platforms, and other types of media you use are surely whispering into marketers’ ears over and over to help them build fact-based decisions that match your expectations. Even so, data-driven strategies merge a high-powered amount of digital and offline channels to give context, collect information, and arrange it in ways that are easy to visualize. Data-driven marketing aims at amazingly-designed customer experiences, but influences internal operations in ways companies have never seen before.

With so much information being generated at all times, data-driven marketing unites the right tools to track, segment, and optimize strategies. When used right, this groundbreaking approach will help you to invest in the right interactions to increase customer retention and bring you more marketing ROI.

Data-driven marketing benefits 

Now that you know the importance of data-driven and how it is revolutionizing marketing strategies, it is time to highlight some of its many benefits.

Segmentation

Data-driven marketing is the key to build marvelous customer experiences based on well-designed segmentation. The first step is to select the right customer segment to drive marketing efforts into. After that, you will be prepared to work on specific, tailored tactics to sharpen your customer touchpoints, whether they’re potential or not.

By segmenting a target market, it gets easier to develop products, solutions, and approaches that will attract the right people to your brand. Segmentation also provides transparency when you wish to know how your campaigns are resonating with the public and gives you a better understanding of particular users’ behavior.

Customer acquisition

Four essential questions must be answered very carefully when you decide to attract target audiences and contact potential customers:

  1. What message will you tell them?
  2. How will you communicate with them?
  3. When will you reach out to them?
  4. Where will you find them?

In a data-driven approach, all of these questions will be respectively answered based on:

  1. Goals and pain points;
  2. How they behave;
  3. The best timing according to their routine;
  4. And the digital and physical places you’re more likely to meet them.

Even if you have a large number of customers, it is possible to combine data to deliver special, tailored touchpoints that match their behavior and preference. It could be an e-mail, or an SMS, or a live event. Possibilities are countless, but you will surely pick the best ones once you know what customers expect from you and how to engage them.

Data-driven marketing works efficiently when it comes to continuously deliver interactions to match customers’ expectations throughout their journey. With so much information at the palm of your hand, you will be ready to transmit the right message (what) at the right time (when) and place (where).

Revenue

Every company director loves it when technology saves the day by cutting costs and returning investment. Gladly, this is pretty much the case with data-driven marketing.

According to the Forrester report “Insights-Driven Businesses Set the Pace for Global Growth“, data-driven organizations grow 30% per year more than companies that don’t base their strategies on data.

When we take a good look at different markets, it gets even clearer that data-driven strategies embody assertive communication that makes ROI possible.

Custom-made marketing campaigns reach proper audiences, which leads to customer acquisition, which leads to customer engagement – and ROI is coming back to you in each one of these stages. Not to mention the revenue currency that comes from these approaches.

Revenue is also possible by cutting costs, reducing churn, and democratizing information through different companies’ sectors.

Upgrade your marketing strategy

Automation was already a buzz when CRMs arrived to transform the way marketers dealt with customer data. From purchase details to personal information and preferences, CRM was and still is prepared to collect digital data at higher levels. This allows big data to play a more predominant role in marketing: Data is now at its core, deciding the directions companies should take to reach their goals.

It must be said that collecting data became a more complex task, especially when you take the number of multi-channels available these days. Still, this complexity isn’t an excuse: If brands don’t automate operations related to those channels, they will lose way too much time putting effort into what can be automatic, and marketers won’t be able to strengthen their creative side and propose remarkable tactics.

Fortunately, there is a considerable amount of data-driven tools that optimize, clean, and filter important data from multiple sources, whether they’re 1st (directly extracted from customers) or 3rd party (found in the market).

Data-driven marketing automation saves you time, money, and free your team to focus on more important tasks that require human abilities, such as creativity. That is how you truly upgrade your marketing strategy: By quickly analyzing qualitative data and returning a creative response to customers’ issues.

This means a wider customer reach, more relatable content, targeted ads, and personalized customer journeys – to only quote a few.

Don’t forget that numbers and reports play a crucial role in data, but the outcome will only be useful if the human eye analyzing them gets the right insights and develops accurate replies to get closer to customers.

Impacts on customer experience

Lincoln Murphy, known as the Customer Success guru, says that Customer Success is only achieved by combining what customers need to an appropriate experience while delivering the right interactions. As you know now, this has everything to do with data-driven.

Data-driven marketing is a new shift in customer care. It prioritizes customer experience in smart and strategic ways, such as we have never seen before.

Many marketers around the world have embedded data-driven strategies into their routines, taking their time to analyze information that will drive to ideal customer experience. With so many benefits, data-based decisions impact consumers on profuse levels. Take a look at some of the impacts:

Personalize customer interactions 

Needless to say, real engagement is closely related to giving customers a personal touch in everything you do.

Irrelevant content, general messages, and ordinary offers will only frustrate the current consumer. People expect brands to customize every touchpoint and suit them to previous steps of their consumer journey. This means companies need to enrich and individualize communications that work in a one-to-one approach to get in touch with customers and prospects.

While 74% of consumers feel frustrated by irrelevant content, 56% of them would reward personalization with a purchase.

Data-driven tactics are the perfect response to this personalization requirement. It allows you to incorporate consumers’ inclinations, pain points, and attitudes to deliver personalized experiences both in digital and physical fields.

Content personalization also turns your communication more persuasive, improves customer conversions, and boosts engagement.

Improve products and services

Products and services can also be personalized and better designed to respond to buyers’ expectations. Analyzing clear data will help you understand whether you need to develop a new product or give an existing one new functionalities to match your customers’ needs. This kind of information also guides you to make the right decisions on when to invest in innovation and when to change small details that make a difference.

Besides, data-driven marketing ensures companies always keep an eye on the market to launch tailored, untried products. Data will assist you in when to launch something new, to know how much people are willing to pay for your products and services, and what can be enhanced to increase customer satisfaction.

Ask for feedback 

Another way data-driven marketing impacts customer experience is via feedback. Remember that people use social media to discuss brands and experiences, and when they talk about your company, you should be the first to know. Practices like social listening will help you monitor what people say on social media networks and collect precise data to gather feedback and insights into what’s working and what needs refinement.

Predict customer trends and market changes

Customers are avid for brands that can communicate and act based both on their individual preferences and what’s going on around the globe. Sustainability, social responsibility, storytelling… These are all actual trends that brands should pay attention to while planning their year. Closing your eyes to the market and only focusing on customer behavior is dangerous, as the external environment can dictate what trends will create buzz and what you can do to make people more interested in your brand.

Data-based predictions are important to keep you one step ahead of your competition, especially in times of change. Timing is crucial: Losing the chance to reply quickly to changes and real-time events might harm your brand in ways you never thought possible. With that in mind, make sure you use data to be prepared for change.

Reach customers where they are

Uncovering the best channels for promoting your brand can be a challenge, but data-driven marketing clarifies what those channels are and how your customers use them. This will prevent you from investing unnecessarily in channels that have bad ROI and planning media usage poorly.

With a more concise understanding of trends, you may get a broader view of channels’ tendencies to use them correctly, building more responsive communications. Batches of customers will also benefit from an enhanced content distribution from your part.

Make customers more engaged

Data automation is the ultimate principle to direct creativity into engaging strategies. In the past, marketers could only deliver a few types of customer service — versions back then didn’t vary, and general communication was even acceptable. Nowadays, though, our hectic and ever-changing routine requires more from brands. If you want to truly engage customers and make them loyal to your brand, you better start seeing data as the main resource to achieve better engagement rates.

More interested in experiences than in products, customers these days expect to be listened to and empowered by appropriate brand responses. Not only people are willing to pay more for better experiences — engaged customers are ready to invest emotionally in brands, and this is vital to any long term customer relationship.

Besides making you relevant in consumers’ minds, engagement pays your bills. Companies that have improved engagement increase purchase frequency and order sizes. This keeps revenue coming in and customers satisfied with relevant buying and connection experiences.

How to work data-driven in consumer segmentation

To apply data-driven marketing in your company, you need to be ready to extract, treat, compare, and analyze digital information from multi-channels, transforming it into knowledge.

We know this multi-channel information means millions and millions of data coming from social media, website analytics, cookies, CRMs, consultancies, market data, competitors, and more. But, thanks to technology and digital transformation, data-driven companies use analytics and algorithms to filter and select types of data that matter the most to them.

There are data-driven solutions — software and methods — that will help you segment your customers and visualize information in intuitive reports. With the advances of machine learning and artificial intelligence, machines gather data around and bring it to you whenever you need it.

One of these tools is the Customer Data Platform, also known as CDP. A CDP should provide you with the right insights to create personas, attract and qualify leads, create new content strategies, and develop customer relationships.

Be aware that marketing segmentation is a key-strategy when it comes to the data-driven mindset. Separating customers by interests, job titles, age, location, gender, and more is an amazing strategy for companies that wish to come up with outstanding marketing strategies instead of sending mass emails and trying to acquire leads through general advertising. Segmentation will pull you closer to generate real-time audience engagement.

For example, in 2015 Very.co.uk combined customer preferences with data about the weather to create personalized homepages to attract consumers to their e-commerce. In the process, 1.2 million versions of the website could be displayed, matching customers’ interest. For example, if you were looking for homeware, your homepage would bring special promotional messages that had everything to do with the products you were looking for. It is completely personalized — and that was only possible because Very.co.uk data scientists created complex algorithms to predict customer behavior.

Nubank, the largest Fintech in Latin American, is another company that embraces data-driven marketing to customize the customer experience. Nubank created ‘wows’, the name given to specific gifts customers receive when assistants feel a special type of connection while serving them.

Every gift is designed especially to the customer, considering their preferences and context. Nubank recently gave a consumer that owns 85 dogs a box full of dog toys, bone-shaped letters (written to the customer herself), and a device that throws dog treats in the air.

Examples of data-driven culture

Data-driven marketing has been so relevant it is leading a policy of its own, known as data-driven culture.

Data-driven culture allows organizations to replace opinions and guesswork with data-derived facts. Here, data is the main resource for collecting and leveraging insights in every company’s department. For this reason, all operations and routines will revolve around it, creating a new decision framework that relies on collaboration to move, integrate, and combine data more efficiently.

This means information must flow effortlessly through people, processes, and solutions so decisions can be made in a matter of seconds. There is no time for waiting: Business intelligence, technology, sales, product, marketing, and many other teams must have quick access to data to enhance customer interactions as swiftly as possible.

To give you a real case example, The Coca-Cola Company in Brazil assembles a data-driven culture to machine learning and AI to analyze its market and consumers. From three to three months, Coca-Cola employees set goals based on data and measure their progress through indicators and continuous information exchange.

It is also interesting to mention that Coca-Cola uses digital as a leading measurement tool and values people diversity to boost collective learning.

Worldwide, Coca-Cola is also known for its successful data-driven campaigns and agile mindset. In practice, data helped Coca-Cola deliver the Cherry Sprite flavor, which was inspired by the fact many customers mixed their drinks in self-service drink fountains. It also drove the company to create personalized AI assistants for vending machines that can behave differently and allow consumers to personalize drinks.

To mention one more example, Coca-Cola has been using data-driven marketing to track photographs of its drinks on social media, using image-recognition technology — this allows the company to target customers and deliver more efficient adverts, considering their consumption behavior.

At the end of the day, it’s clear to see that companies that have absorbed data-driven culture are completely different from companies that haven’t. Data-driven companies achieve tremendous results by dealing with complex multimedia channels — like videos, social media, ads, email, and liveblogs; — to reach customers with the right message at the right time. This ability is closely tied to automation and analytical approaches, which permits operations to be optimized, and audiences to be attracted more effortlessly.

Data-driven marketing is the future 

We know making the best marketing decisions is a challenge as much as it is a basic requirement. Moreover, facts tell us the future of organizations will be decided by the ability to use data wisely — and we know you don’t want to be left behind.

Arena helps media companies all around the world to encourage engagement and streamline customer data to smart marketing campaigns.

If you’re willing to be assisted by a Customer Data Platform to boost your audience and work data-driven marketing with your customers, get to know more about how we can create powerful experiences for your users.