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Data-Driven Marketing: The Benefits of Relevant, Personalized Experience

Data Marketing: The Benefits of Relevant, Personalized Experience

Do you want to learn how data can transform marketing? If yes, then keep reading!

Marketing has changed drastically since the beginning of time. From print to TV ads, people are now being targeted and influenced more than ever before. We’re constantly bombarded by information online. And that’s where big data comes in. Big Data is data collected and analyzed to create insights and give us actionable insight into our customers.

In this article, I will discuss the advantages of using data in marketing and how it can benefit your company.

Benefits of data-driven marketing

The benefits of data-driven marketing and incredibly data-driven advertising are significant—more efficient media buying. Data-driven marketing is the most advanced in the programmatic buying sector.

The age of generic, “one-size-fits-all” marketing messages is over. Marketers should start thinking about messaging regarding its relevance to specific audiences. Data-driven marketing began with CRM software. CRMs allow direct mail, and therefore, direct marketing. Marketing segments may be created based on characteristics such as age, gender, income, location, etc.

What if we told you that your next marketing campaign could generate more leads and sales faster than ever before? That’s right, thanks to data-driven marketing from HubSpot, we can guarantee a higher ROI for your brand. With every message, we’ll find out what resonates best based on customer data at hand. This means that we can target our audience much closer to home – specifically those who have an interest in what you offer.

Our system tracks data like:

your website visitor activity

their search history and preferences

whether they clicked through on any links, you send out

Customer demographics

Customer purchase history

In return, this data helps us identify whether someone has shown an interest in a product or service previously or whether they are likely to become one of your future repeat buyers.

With these insights, we know exactly where to reach them, with what content, and how often.

How does data-driven marketing work?

You give us everything we need to build and manage a successful campaign. From the title of your ad, landing page, and text ads to your budget – we take care of it all. So, there’s no guessing game; we execute directly against your goals and optimize your spending accordingly. Plus, your data stays private — so you never miss valuable insights.

Data-Driven Marketing

With every clickable link shared on your social networks and with every piece of content shared and liked by your fans, HubSpot puts together a detailed profile. The critical ingredients for each fan. And then…we match them up with people just like them. Our algorithm analyzes their behavior, interests, email address, recent purchases, and other personal information and finds people who share similar values and traits. Once matched, we automatically deliver relevant, personalized offers based on your buyer’s persona. So, every time your fans engage with the content we produce, every time they click a link or open an attachment, we learn more about them. With time, we see trends like these emerge:

The idea is simple: Matching the right audience to the right offer can double conversion rates to 30% or more! This data-driven marketing strategy has helped Dell, American Express, and Hilton increase revenue by over 300%.

Create a list of customers from previous campaigns that have interacted with you.

Find those customers’ friends using Facebook’s “Friends of Friends” feature.

Reach out to them via email and ask if they want to join a reward program where you can send them emails about upcoming sales, extraordinary events, or new products.

If there isn’t a program in existence, create one. Your goal should be to get someone to sign up for it and know how much product they could save when they buy through your store.

Create multiple landing pages to segment customers. Your product has unique features and benefits for different customer segments. For example, eCommerce stores often offer free shipping for orders above $100. You can use this feature to direct lower-value shoppers to a separate page within your website where they only see limited options and pricing while providing less incentive to purchase. Higher-end shoppers will be required to another landing page.

Custom audience

CRM gained new prominence with the advent of the cloud. It spawned a new category of marketing technology — Marketing Automation. Marketing Automation has become an industry unto itself, with its own set of acronyms and terminology. Marketers use it to target specific audiences, track customer behavior, and create content based on those behaviors. It is used to manage email lists, optimize campaigns, and automate workflow processes.

Data Management Platforms are software products that help marketers manage all their data from one place. DMPs allow marketers to segment audiences based on behavioral patterns and interests. This will enable them to target customers more effectively.

Data-driven marketing means using data to activate creativity.

Flashy ad formats like rich-media ads were used to get consumers’ attention. Now, Facebook has developed its format, called “native” advertising, which requires multiple assets to be uploaded separately.

Native advertising has become a rising trend among digital advertisers because it allows brands to create content that feels more authentic than traditional ad units.

As intrusive rich media ads die out, marketers move towards more consumer-friendly formats. This includes using programmatic ad buying to personalize messages based on user interests.

Data-driven ads can help you target specific audiences based on their interests. For example, if you’re an online retailer selling shoes, your ad might show up only on sites related to running. This is an example of data-driven marketing.

Data-driven marketing means that the product must be customized based on the viewer’s data attributes.

Data-driven digital marketing combines creativity, media, and technology to create campaigns targeting your audience and reaching your business goals.

As we continue to push into a new age of personalization in advertising, many marketers focus more on integrating the customer experience with the overall strategy for achieving revenue growth.

The goal of customer experience personalization is to integrate everyone’s profile, interests, behavior, and goals directly into every interaction they have with brands and retailers.

A CXP approach requires multiple types of data collection: website usage behaviors, social networking activity, search engine searches, or even mobile app engagement patterns.

These data sources provide information about the consumer rather than any one person. But when combined, like puzzle pieces, they can paint a noticeably clear picture of whom the individual is and what they want – which then becomes valuable insight for companies looking to market them better.

Customer experience personalization has emerged as a top priority for brands who are seeking out ways to improve their existing strategies, while also making sure that there is no “left behind” group within their target audience.

We’ve put together this guide to help businesses understand how combining behavioral insights with CRM data will benefit not just their bottom line but also their customers’ satisfaction levels –

To get started with your customer journey mapping project, you need first to answer questions such as:

  • What type of customers does my company serve?
  • Does our product or service solve a problem in their lives?
  • How often do these customers encounter us?
  • What are their needs?

The answers to these questions will help you determine the right data points based on which data source you should be collecting from each potential customer. For example, if you run a restaurant chain and most of your customers are millennials, you may only want to track people who have visited your website. In contrast, if it’s an e-commerce brand you’re targeting, all users would be relevant. For businesses with online stores, tools like Google Analytics help collect data around how many visitors come through the doors of your digital storefront every week, month, etc. On top of this, you can find out where they came from. You can use this data to make tweaks to your site design to draw more traffic.

What Type of Customer Are We Serving?

To know whether you’re serving a specific segment of the populous, you need to know what type of customers. With increased businesses moving online each day, it’s no surprise people have started using the internet to research products and services. According to GlobalBridge, by 2016, over 80% of all purchasing decisions will be made online. This shift in buying habits has led many marketers to begin considering digital marketing as a critical component of their overall marketing plan. However, just because everyone else is doing it doesn’t mean you should too.

The Current State of Data-Driven Marketing

Data-driven marketing has become more critical than ever because customers now expect companies to provide them with relevant information about products and services. Learn how to use data to make your marketing decisions.

While the vague “catchalls” approach to marketing used to be effective for some businesses, they just don’t work anymore. Consumers want more personalization, so there is even more pressure to use data-driven marketing.

Data-driven marketing focuses on using data to inform decisions. Businesses use data to make better decisions, and customers make more intelligent choices.

Social Media

Posting on social media channels can drive visitors to your site. Don’t overdo it — people share what they like or dislike. And don’t forget that some of these networks are public, so if someone complains about a product or service, others will see it. Be careful not to post anything negative about your competitor.

The goal is to have several short posts on all sites rather than one long post once every few days. This allows for more content in less time and increases the chances that a more extensive audience will see you. The other benefit of having multiple smaller pieces of content per day is that it is easier to remember where you’ve been posting when you look back at your dashboard.

If you run multi-vendor stores, we’re here to help sell your products to your customers. We know how frustrating it can be to buy an item only to have no sales! That’s why our focus is to provide high-quality traffic to each vendor’s store that converts into revenue.

You may start with no capital, but you’ll need plenty of talent to get going. It’s also essential to find a partner that has experience in affiliate marketing and understands the ins and outs of this business model. You could end up paying more because those who understand the system take advantage of their partners and do everything possible to promote them.

Social Media, Marketing, Social, Data, Analytics, AI, Business Marketing, Social Listening

Content Strategy

You need content. Ensure that every page has a call-to-action button directing users to fill out an email form. Don’t worry too much about creating a unique copy. Focus instead on giving a compelling value proposition. Your goal is to get users to click to turn them into customers.

It takes time to find the right audience for your brand and make it relevant. There’s no point in spending months trying to build an audience if all they want from you is free samples or product reviews. It’s better to focus on engaging with people who have something to offer. You might not get a return visitor, but you will learn what resonates with your target market.

Content curation

Before starting any marketing campaign, make sure you’ve set up a solid foundation of information resources at your disposal. If you don’t know where to start, check out these websites:

Curation sites are becoming increasingly popular as more marketers realize that thousands of interesting articles online could be helpful depending upon what kind of business you happen to own. Most large organizations maintain a collection of industry-related blogs on their website. These blogs usually discuss current trends in the industry, custothe mer service issues, competitive intelligence, or whatever other subject matter most directly impacts a new hire. If you can do this in two sentences, you have your first draft of an effective landing page.

If you want visitors to take action and make purchases, then pay attention to the language you use throughout each website page. This will not only help with conversions but also help avoid legal issues down the road.

What You Need to Know:

The goal of every piece of digital marketing is to create awareness for your product or service. You may be tempted to go straight to the point. However, it is better to build trust by providing relevant information about the customer’s expectations and explaining how the product solves their problem.

This strategy works well if there is a clear differentiation between your competitors. For instance, if Amazon had started selling books, everyone would just seek out competing. That is why they are so successful today.

In the same way, IKEA inspires by showing people how they could quickly build things themselves or buy prefabricated ones. The key here, however, is that they convey that these products work as promised. They don’t try to produce a creative solution that would fall short because they’re lack experience.

Data-Driven Marketing Best Practices ensuring You’re Making the Most of Your Customer Data

Do you often find yourself scrambling to gather all the data you need to support your marketing campaigns? And then spend hours cleaning and analyzing it – just to figure out what’s essential?

There are many ways to make sure you get the most value out of customer data. In this blog post, I will share my top tips on maximizing your customers’ data every time. I’ll cover: How to get started; What to focus on; Where to store data; Who should see what; When to send emails; What to include, How to measure performance; What to optimize.

If you’re a Data Platform Evangelist, you want people to talk about you at conferences such as Velocity or Dream force. You want them to know who you are, so they can learn more about working with Salesforce CRM online and mobile apps. This means having a profile that clearly defines what you do for customers and why they should care.

The key is to demonstrate that you understand the platform’s core competencies from technical and marketing perspectives. You’ll also have to explain these skills in a way that resonates with the audience.

A lot has been written about the importance of storytelling.

Get Your Hands Dirty

It can be tempting to wait until after the sales campaign has run its course before doing any analysis. But by waiting too long, you may miss valuable insights into how your best customers received different messages. If you’ve been sending similar messages in previous campaigns, you can better understand what works and what doesn’t.

Getting Started with Simple Analytics

If you’re only looking for basic statistics, you don’t necessarily require an extensive level of analytics skills. Many free online tools allow you to analyze your customer data quickly. Some examples include Google Analytics, Adobe Experience Manager, and others. These will enable you to track visitors easily, identify where they came from, where they went and if there was anything else’ special’ happening during their visit.

You want to try and spot trends as soon as possible, as these can help you target new customers at an earlier stage.

It takes at least a few weeks to start seeing results from PPC campaigns.

After your initial budget is spent, your sales will increase naturally over time. With a paid search, we cannot go back once our campaign starts rolling, so getting the best return on investment is vital to success.

Paid search continues to evolve. As Google changes its algorithm, there is always room for improvement. It is crucial to stay current and do research as soon as something happens.

You’re not wasting money when using pay-per-click advertising.

Once you’ve got enough traffic coming through, set aside a few days each week when you evaluate what worked well and what didn’t. If you have ten or fewer keywords, check each one individually. If you have more than twenty keywords, test several things, such as the headline variation, description, etc.

Analyzing your conversion rates helps you understand what works and what doesn’t. Understanding what these terms mean enables you to avoid common mistakes that could cause your conversion rates to plummet.

Conversions are a metric that evaluates how many people convert into paying customers. Conversion rate metrics come under two categories: revenue-generating conversions and non-revenue generating conversions.

Data-Driven Marketing Trends

Artificial intelligence and machine learning are two key technologies that can help marketers improve customer experience and increase revenue. AI enables marketers to understand consumer behavior better and predict future actions. Machine learning helps automate processes and make predictions based on past events.

Prioritize prospects, suspects, and accounts based on their likelihood of acting, such as buying a product, signing up for an offer, or referring someone else.

Companies realize no longer a wall between the marketing team, the creative side, and the analytics department. A collaborative approach helps companies better understand their customers.

Identify customers’ true intent from the social media content they share.

Target offers messages and promotions more effectively by understanding your audience’s interests.

Use machine learning to automatically detect fraudulent activity, spam campaigns, and other undesirable activities in the platform.

Learn More About Data-Driven Marketing Trends: Here’s What You Need to Know

AI is still evolving, and there is no clear definition for what it means today. Some people use the term generically to refer to any tool capable of automating tasks. Others see artificial intelligence as a collection of techniques to create intelligent machines. Still, others believe that AI is just another buzzword. This innovative technology is already being adopted to solve real problems in business and marketing. If you are looking for ways to improve your marketing strategy using this emerging technology, here’s what you need to know about data-driven marketing trends.

What Is Artificial Intelligence?

As we have seen over the last few years, the world is moving toward a digital age where everything around us becomes automated and connected. The internet has changed our lives completely.

Make more informed decisions. Use data to learn about your customers’ preferences and behaviors so that you can provide personalized offers and content across channels in real-time.

Use predictive models to recommend the following best action — whether it’s calling them or emailing them. AI has been around for decades. However, the term was coined only recently in 1956, when the American scientist John McCarthy wrote “artificial intelligence.” The idea is simple; unlike humans, who have limited memory and can process information, machines can store and use vast amounts of data and then quickly deduce patterns by themselves. They may even act on those insights without direct input from human users.

AI works on algorithms within computer systems that perform tasks such as speech recognition, image recognition, and natural language processing.

Today, machine learning, a subset of AI, is making possible new forms of automation that are already replacing jobs at an alarming rate. And this trend isn’t going away anytime soon. But there’s still work to be done. For example, machine learning requires lots of training data — labeled images, audio recordings, and other types of information collected from people — which may not always be available.

We spoke with experts in marketing technology and artificial intelligence at companies like Google, Facebook, and Uber to explain how businesses should start using these technologies today.

AI, Artificial Intelligence, Intelligence, Smart, Brain Intelligence, Data Analytics, Analytics

The business case for AI

Let’s start by looking at why businesses should invest in AI. Simply put, AI automates some repetitive tasks and frees up employees to focus their attention on higher-value activities. It also helps businesses grow through intelligent recommendations.

For instance, a customer service team might need 10 minutes to solve a problem via chat. That takes out 10 minutes from each agent’s day.

Artificial intelligence helps machine learning algorithms identify patterns and make predictions based on that understanding. This means that machines can be trained to deliver better results than using just a human’s intuition alone. At its core, this technology relies on algorithms. Algorithms are mathematical equations used to solve problems. For example, an algorithm may be designed to calculate how much credit a shopper would need to buy a car. By analyzing thousands of transactions made by shoppers at different dealerships, the system might determine which dealership should get paid off first.

The following list represents some critical aspects of AI

Natural Language Processing

A form of computer programming that allows computers to understand language. Natural Language Processing enables applications to analyze text with algorithms to find semantic relationships between words. For example, if an NLP application identifies the subject and object from the sentence “I took my dog to the vet,” then those two phrases may be analyzed further to reveal what action was taken. There are many ways to apply NLP, including sentiment analysis, topic detection, and even translation.

Augmented Intelligence

The IoT uses sensors that collect and transmit information from connected devices and appliances. IoT technology is deployed throughout business environments and at home through smart homes, health care, retail, manufacturing, and other industries. It collects and transmits data from every aspect of our lives, helping with security by monitoring all aspects of a building while reducing costs with fewer staff needed to manage facilities. For example, in hospitals, IoT technology will monitor patients ‘ vital signs such as blood pressure, heart rate, respiratory rate, and temperature. In addition, IoT sensor systems could measure how many patients enter a room or any leaks in the plumbing. Finally, IoT helps companies save money on energy consumption with thermostats that turn off lights and heating systems during times of non-use.

A sensor can be any device capable of measurement or detection, such as a temperature probe, an accelerometer, a magnetometer, a light detector, a barometric pressure sensor, a GPS receiver, a digital camera, a laser scanner, radar, a proximity sensor, or an ultrasound transducer. The output of the sensor may be analog or digital. Sensors are widely used in computing systems for many purposes, including but not limited to: environmental control, industrial automation, personal safety, medical treatment, military applications, consumer electronics, scientific research, weather forecasting, and transportation management.

Sensors have been developed to perform tasks previously accomplished solely by humans. For example, sensors have been incorporated into products that allow users to monitor their health conditions, so they do not need to make repeated visits to doctors’ offices. In addition, sensors have been integrated into clothing, allowing people to know when they have sweat on their bodies. A sensor can also be built into a watch worn around a user’s wrist, alerting them if they become too hot or cold. Wearable sensors can communicate directly with the cloud via wireless technologies, allowing individuals to track health status, exercise frequency, duration, and intensity.

It’s becoming more critical for companies to understand consumer preferences and lifestyles to create desired products. IoT can track this information into products that will appeal to customers. With IoT, consumers can interact with their product and company in real-time using voice commands or via mobile apps. This allows them to use the product as they see fit, providing additional value for both parties. Smartphones are already starting to detect what we say when controlling intelligent devices such as thermostats, lighting systems, appliances, etc. As this functionality becomes more advanced, it could allow people to live with less stress by adjusting temperature or lighting based on things like moods and schedules. The possibilities are endless.

IoT has immense potential to improve many sectors of society, including healthcare, education, transportation, logistics, government, safety, energy production and distribution, smart cities, public services, agriculture, and much more. For example, intelligent factories would help eliminate workplace injuries and illness, while smart farming would reduce water usage and increase crop yields while lowering farm labor costs.

Nike has a database containing over 1 billion records that it analyzes to determine what products are selling well. This information is then used to improve the marketing plan for new product launches. In addition to this, many companies use social media platforms such as Twitter or Facebook Pages to collect feedback from consumers. Social Media Analytics helps companies learn about consumer behavior on these sites. Social media analytics tools allow businesses to understand how customers interact with branded content online. For example, Instagram provides real-time demographic insights and engagement levels by tracking likes, comments, shares, posts, etc.

Social media analytics helps with understanding the moods of your target audience. It is crucial to predict whether people will purchase items based on their feelings to tow. Totowardedia effective tool for customer communication and can provide critical feedback on current trends and problems.

Big Data Analytics

Companies use big data analytics to gather insight into their business processes. Big data refers to analyzing large volumes of data where conventional methods would not produce beneficial results. Companies like Walmart Inc., Amazon Web Services, Nike, and Google use advanced techniques to analyze big data that include text mining, sentiment analysis, machine learning, and natural language processing. Text mining involves analyzing massive databases of textual data.

Nike has a database containing over 1 billion records that it analyzes to determine what products are selling well. This information is then used to improve the marketing plan for new product launches. In addition to this, many companies use social media platforms such as Twitter or Facebook Pages to collect feedback from consumers. Social Media Analytics helps companies learn about consumer behavior on these sites. Social media analytics tools allow businesses to understand how customers interact with branded content online. For example, Instagram provides real-time demographic insights and engagement levels by tracking likes, comments, shares, posts, etc.

Social media analytics helps with understanding the moods of your target audience. It is crucial to predict whether people will purchase items based on their feelings. Social media is an effective tool for customer communication and can provide critical feedback on current trends and problems.

Data-driven marketing is an approach that uses the power of big data and artificial intelligence to provide highly targeted messages to individual customers. It is about understanding your customers better than ever before.

There is no better time than now to start using data-driven marketing principles for your business! Demand. Jump combines your data so that you can identify gaps and opportunities. It helps you find new customers and increase revenue.


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  • Iron Brands
    December 6, 2021

    Your comment is awaiting moderation.

    This is really helpful thanks! Got a ton of value from it. One quick addition maybe. I’ve been searching for google analytics alternatives (main reason is gdpr) and tried a few, but switched to Simple Analytics in the end. It has a very clean and fast dashboard without all the fuzz from google analytics. Perfect for people who are starting out with analytics. Might be a worthwhile addition: https://simpleanalytics.com/ (no affiliate link). I know there are others out there as well like Matomo.


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