How To Become A Data-Driven Marketer? The Ultimate Guide

A data-driven marketer can achieve a myriad of goals, including delivering superior customer experience and executing social media or digital content marketing campaigns that boost sales and growth.

Today, the key to successful marketing is customer data. Without big data, you are operating blindly, hoping to meet customer expectations.

If you want to be an effective marketer, you should be able to analyze, understand, and use data to improve marketing decisions and results.

Let’s see how.

On this page:

  • What is data-driven marketing? Definition, meaning, benefits, importance.
  • How to become a data-driven marketer? (the ultimate guide with examples, techniques, tools, and skills)
  • Infographics in PDF

What Is Data-driven Marketing? Definition And Benefits

Data-driven marketing is the approach of collecting and analyzing customer data to help you make better decisions.

Customer data is collected from various data sources such as social media interactions, email sign-ups, website analytics, purchases, feedback forms, etc.

Then the data is analyzed in a way that allows you to understand and predict customer needs, desires, and future behaviors.

Data collection and analysis happen via special software tools. They help you develop personalized marketing strategies for the highest possible return on investment (ROI).

Being a data-driven marketer means letting data be the center of your efforts and decision making.

Benefits of data-driven marketing:

Data analysis allows you to:

  • Create personalization easily and effectively. You can segment customers with ease and create tailored marketing campaigns that are relevant to niche groups.
  • Meet and engage customers where they are. Data analytics tools can show you where consumers are spending the most time (i.e. specific social networks, specific mobile apps, etc.) or where they are most likely to purchase (i.e. your website, social ads, etc.).
  • Understand what’s working and what’s not. Data-driven marketing allows you to identify which types of marketing campaigns (such as content marketing, social media messages, email campaigns, etc.) work best for converting customers into sales.
  • Improve the digital customer experience. Data analytics allow you to uncover customer behaviors and understand what your users do on all their devices (smartphones, laptops, etc.) across all your digital channels (website, social profiles, etc.). Using these data you can improve customer service and make it outstanding.
  • Make effective predictions. With the use of data software tools, you can define the likelihood of future events or results based on historical data such as past customer behavior and habits. Thus, you can identify future risks and opportunities.
  • Ensure successful data-driven decision making and achieve better ROI. Data analytics lead to successful marketing outcomes. Detailed insight into data such as customer behaviors or digital user engagement and the ability to predict future results, allow you to make the most informed marketing decisions and spend budgets wisely.

How To Be Data-Driven Marketer? Tools, Skills, Examples.

Being a successful data-driven marketer takes skills, tools, time, understandings, and a data-driven mindset.

Let’s see the most important of them.

1. Use Data-driven Marketing Tools To Unlock The Power Of Data

To be a data-driven marketer, you need to rely on a variety of marketing tools. Thеy can perform data collection, data analysis, market predictions, etc.

What is important here is to create a stack of marketing tools that work together to help you play with data effectively.

The tools might include features such as targeting and market segmentation, integration and collaboration, data visualization, customizable features, etc.

Here are examples of some good data-driven marketing tools you can consider for your needs.

1) Use Google Analytics And Google Search Console

Google Analytics Print Screen

Google Analytics is a popular free tool for tracking user website behavior.

Google Analytics goes through constant evolution and provides important data insights into customers such as sources of traffic, customer demographics, interests, engagement, user flow, and much more.

Despite there are many other tools that surpass Google Analytics, it is the most widely used tool by businesses to gain data on how their websites are performing.

As a marketer, you can use the insights from it to improve and customize your marketing content, offers, site structure, etc.

To dive deeper see this great guide from Neil Patel- How to Use Google Analytics to Measure and Improve Your Content Marketing.

Google Search Console (GSC) allows you to see the keywords and search phrases that bring visitors to your website.

These keywords and search phrases are the best data to use when creating and managing your SEO and content marketing strategy.

2) Use Marketing Automation Software Such As Marketo And Pardot

Hubspot Marketing Automation Print Screen

Image source: Hubspot

Marketing automation tools like Marketo, Pardot, and HubSpot allow you to achieve measurable results.

They can help you manage each marketing step across multiple channels (such as websites, social media, email) and thus improve the overall marketing success.

Automation software tools help you not only automate repetitive tasks.

They let you understand the customer journey, gain qualified leads, convert them into sales, engage customers at scale, and plan your strategy while reducing marketing costs.

Providing you with data-driven solutions for each of your digital marketing needs, the tools allow you to execute high-performing email campaigns, mobile marketing, content creation, web personalization, and much more.

3) Use Data Visualization Tools Like Tableau And Looker

Looker Data Visualization Tool Print Screen

Image source: Looker

Data visualization tools can help you make sense of all the data you’re working with daily.

What is data visualization?

Data visualization is the process of collecting and visualizing data in an easy to understand way. Data visualization can be a bar chart, line graph, Venn diagram, scatter plot, and many other types of graphs.

The best data visualizations are beautiful, easy to understand, informative, and responsive.

Data visualization tools like Tableau, Looker, and Domo allow you to bring the data from all of your marketing tools together, visualize the data with beautiful graphs, and find the insights you need to drive your marketing campaigns.

With the tools, you can track metrics and KPIs, make ROI analysis, perform A/B testing, get the entire view of user experience, etc.

4) Use SEO Tools Such As SemRush And Ahref

Ahrefs SEO Print Screen

Image source: Ahrefs

You probably know that Search Engine Optimization (SEO) tools are vital for digital marketing success. And they are driven by a huge amount of data.

Knowing how SEO tools work is the key to make your website more visible, attract more traffic and create more opportunities to convert prospects into customers.

As a data-driven marketer, you should know that the essential data capabilities of SEO tools include:

  1. keyword research – shows you thousands of relevant keyword suggestions and advanced keyword metrics to help you find the best keywords for your SEO and PPC campaigns.
  2. backlink analysis – allows you to see backlinks pointed to any website and some important SEO metrics.
  3. content research – shows you which content performs best in terms of organic search traffic, number of visitors, number of backlinks, social engagement, etc.
  4. technical SEO audit – shows you and helps you fix all the critical SEO errors on your site.
  5. position tracking – tracks your keyword rankings from any location and displays your full ranking history in a graph.

SEO data can help you accomplish several marketing goals, including greater brand awareness, web traffic, customer engagement, and much more.

5) Use Competitive Intelligence Tools Like Crayon, Contify, and Klue

Klue Competitive Intelligence Tool Print Screen

Image source: Klue

Competitive intelligence is the process of collecting and analyzing data about your current and potential competitors, industry, and business environment.

There are many powerful web competitive intelligence tools like Crayon, Contify, and Klue that allow you to effortlessly spy, track, and understand what your competitors are doing and what makes them successful.

The tools can harvest data from millions of web pages and allow you to track a competitor’s full digital footprint with no efforts.

They show you every move your competitors make. You can track the latest news your competitors are making, their employee feedback, pricing changes, new product launches, social media efforts, email marketing campaigns, etc.

Competitive intelligence tools enable to win more deals and spot valuable market trends.

2. Create A Data-driven Mindset To Find The Story Behind Your Data

The above tools are great but if you haven’t the right mindset you will fail in your efforts to become a more data-driven marketer.

So, what is a data-driven mindset?

A data-driven mindset means you are able to think outside of your personal biases and assumptions. Instead, you focus on what the data and facts say.

You need to challenge yourself and start collecting as much data as you can, and then take actions or make marketing decisions.

For example, let’s say you like to track how many people open your emails that contain a specific promotional campaign.

Now, instead of waiting and hoping to get many of those opens, look for the stories they tell.

Use data-driven marketing tools to compare every email you’ve sent, and you might notice that emails sent in the morning have much higher open rates than ones sent in the afternoon.

Or you might notice that emails containing a question in the subject line get the most clicks.

The idea is to find and analyze data and use it to plan your next email campaigns at the right time with the right subject lines.

3. Get To Know And Use Different Sources Of Data To See The Whole Picture

Examples of Customer Data Sources - a short infographic

As you already know, it’s great to have data to gain insights.

But how to collect this data? What are the key data sources you can use? What insights can each data source bring to you?

There are two types of ways to collect data for your marketing needs:

1. Internal sources of datathe information gathered within your company or organization. It is completely free to use.

Examples of internal data include:

  • Data from your CRM system such as customers’ names, telephone numbers, regional or geographical details, etc.
  • Sales data such as sales reports, revenue, profitability, price, distribution channels, buyer personas, etc.
  • Customer data from orders such as contact details, names, transaction history, payment methods, etc.
  • Your social media profiles on networks like Facebook, Twitter, Linkedin. The data you can collect from them include likes, shares, mentions, impressions, new followers, comments, URL clicks.
  • Your website analytics. With tools like Google Analytics and Google Search Console, you can gather website data such as visitor’s locations, patterns of visitor behavior, keywords used by visitors to find your website, most popular content, etc.
  • Data from your transactional system such as purchasing behavior of your customers, buying habits, and shopping preferences.
  • Your business emails – they can provide you with data such as product reviews, opinions, feedback and so on.

2. External sources of data – the data collected outside your organization. Some of the sources are free and others – paid.

Examples of external sources of marketing data include:

  • MarketingCharts.com – a hub of marketing data, graphics, and analyses. The site offers a wide range of marketing charts on topics like social media adoption by demographics, the effectiveness of various B2B and B2C marketing strategies, and many more.
  • HubSpot offers a large free repository of marketing data. You could find the latest marketing statistics and trends in areas such as Organic Search, Conversion Rate Optimization (CRO), E-commerce, Local SEO, Mobile Search, etc.
  • Google Trends – allows you to examine and collect data on trending news stories around the world. It is an extremely useful data collection method when it comes to creating a marketing or SEO strategy.
  • Crunchbase -a great platform for finding business information about private and public companies.
  • Google Alerts  – one of the most popular free alert services that allow you to follow mentions on the internet about anything you need – company, brand, customers, purchasing patterns, and so on.
  • Online surveys. Marketers of all levels conduct online surveys to obtain and act on customer feedback. The data from online surveys are low cost, convenient, time-saving, and ready to be analyzed at any time. Some of the popular online survey tools are SurveyMonkey, Typeform, Survicate, and Survey Planet.

The above data sources might look overwhelming to you. But it is not necessary to use all of them.

As a data-driven marketer, you need to know them and to understand what type of insights they can bring to you. Once, you define your marketing goals, you can choose the most appropriate data sources for your needs.

4. Set Metrics To Track Success

Key Marketing Metrics - a short infographic

Success is measured by metrics.

If you want to be a data-driven marketer, tracking metrics should be like your second nature.

Metrics are measures used to demonstrate the effectiveness of marketing campaigns as well as evaluate the progress towards goals.

Tracking metrics lets you improve overall marketing results, reveal the truth about your performance, highlight issues, and ensure you’re improving over time.

Here are some of the key metrics you should track:

  • Marketing Qualified Lead (MQL) – a lead who has indicated an interest in your offers and is more likely to become a customer than other leads.
  • Number of Comments – the main reliable indicator of quality customer engagement. The comments come from different sources (comments on your blog posts, social media accounts, etc.).
  • Customer Acquisition Cost – measures the total amount of capital it costs to gain a new customer. Add up all marketing expenses and divide by how many new customers were acquired in a given time period.
  • Net Promoter Score (NPS) – a measure of your customers’ willingness to promote your product to colleagues and friends. NPS is a great indicator of customer satisfaction and loyalty.
  • Average Time On Page – measures the duration of time a viewer spends on a page. It shows whether visitors are seeing value and finding what they’re looking for on your page.
  • Lead Conversion Rate – measures the number of leads that are converted into sales. This is one of the most important metrics. If you’re not converting leads to sales, you’re wasting your time.
  • Bounce Rate – measures the number of visitors that arrive at your site and leave without going to another webpage on your site. A bounce means someone sees one of your pages and just leaves. The bounce rate shows how effective your content and design are.
  • Ratio: Lifetime Value(LTV)/Customer Acquisition Cost (CAC): measures the ratio between the lifetime value of a customer and the cost of acquiring that customer. It gives you insight into how effective your spending is.
  • Return on marketing investment (ROI) – measures the ability of marketing campaigns to make new revenue.

Your metrics need to be achievable yet challenging. They also need to be easy to analyze for you to really gain the benefit.

Once you’ve defined the metrics that are important for your marketing, you can monitor them closely to ensure success.

5. Learn Data Literacy To Understand What Your Data Reveals

Key observations in graphs - infographic

Data literacy is all about the ability to read, write, use, and communicate data.

As a data-driven marketer, you need to have good data literacy to gain the value that data provide.

Data literacy can encompass a wide spectrum of skills.

However, you don’t need advanced statistical analysis knowledge or data scientist skills like programming in Python or R.

To be data literate, you should be able to analyze and interpret a standard data table or chart.

You should be comfortable with the common charts like the line graph, bar chart, pie chart, and scatterplot that are found in most dashboards and news reports today.

You also need to know how to produce your own charts and perform your own analysis.

Fundamentally, a data-driven marketer should have skills in the following 3 areas:

1) Data Knowledge

Each marketing department and industry (retail, finance, etc.) has its own unique data terms and datasets.

The more you understand your company’s data from a business perspective, the better you can apply the data.

For example, if you are an online data-driven marketer, you should be familiar with data terms and metrics such as page views, traffic sources, unique visitors, and bounce rates.

In addition, you will need some ability to work with numbers and understand statistical concepts such as:

2) Data Interpretation

After you’ve familiarized yourself with the data, you should be able to interpret it.

Data may be examined in many different ways depending on its types.

In general, you should be able to make the following types of observations in charts:

  • Trends: What is the direction in which a metric is changing (up, down, flat)?
  • Patterns: What repeatable patterns the data show (e.g., seasonality)?
  • Gaps: Are there any obvious gaps in the dataset (such as incomplete, outdated, or inconsistent data)?
  • Outliers: Is there a data point that differs significantly from other data points? An outlier may indicate an error and cause serious problems in your analyses.
  • Focus: Has something in your chart or table been emphasized? Why this part of the data is highlighted?
  • Logical: Does the data help to answer a specific marketing or business question? Does the data support a hypothesis or assumption?

3) Curiosity And A Passion For Data

It’s not enough to analyze and interpret data if you want to be a data-driven marketer. You need to be curious and think critically about it.

You need a passion for finding patterns, trends, and answers to marketing problems.

Aim to think outside the obvious borders and see the less obvious factors that may be influencing the results and its interpretation.

For example, pay attention to these areas:

  • Data collection methods and sources: Could the method or data source influence the results?
  • Credibility: How credible and reliable are the source of the data?
  • Quality: Are you able to recognize the helpful data and define which data has meaningless value for your research?
  • Bias: Is there a potential bias from the data producer or from you as the consumer?
  • Context: Is there additional background information that is missing and needed to correctly understand the data?

6. Bring It All Together – Integrate Data From Multiple Platforms And Sources

Piesync Data Integration Tool Screen Shot

Image source: Piesync

To build a holistic data-driven view of your customers across all devices, it is necessary to combine all the above data elements – data marketing tools, data sources, and data metrics.

You need to integrate data across your entire stack — marketing, product, sales, data sources, and analytics.

Marketing data may be found in different silos that are scattered.

A typical marketing department may draw data from more than 50 sources, including data from CRM systems like Salesforce, marketing automation software like Marketo, Google Analytics, social networks like LinkedIn or Facebook, and many more.

Only, by integrating your marketing data from all silos and marketing campaigns, you can create a trustworthy and reliable view of your customer journey.

How can you bring together all these disparate data?

This is where data integration software – one of the fastest-growing aspects of data-driven marketing, comes in.

Data integration software serves as the glue that connects all these different elements, so they can work together to enable you to gain the full value of data.

You have to choose a data integration tool that can handle all your data needs. Typically, data integration tools should provide the following features and benefits:

  • Ability to process data from several types of sources like spreadsheets, applications, and mainframes.
  • Ability to process data from web pages, social media, email, and many other platforms.
  • Removing duplicate and inaccurately formatted data.
  • Assurance that the data follow the business policies and rules.
  • Real-time data integration.

Using data integration will help you make marketing decisions that accelerate business growth.

Popular data integration tools: Improvado, Celigo, Alooma, PieSync, Adverity

7. Use Predictive Analytics To Spot Future Risks And Opportunities

InsightSquared Marketing Planning - Print Screen

Image source: InsightSquared

If you are a future-oriented marketer who wants to gain the full power of data analytics in marketing, you must use predictive analytics.

Predictive analytics is the use of data algorithms and techniques to define the likelihood of future events or results based on historical data (such as past customer behavior and habits).

It enables data-driven marketers to identify future risks and opportunities and thus to make the most effective decisions.

Predictive analytics allows you to understand consumer behaviors and trends, predict future changes, plan marketing campaigns accordingly, and gain competitive advantages.

It is a roadmap to better marketing and better business.

How can you take advantage of predictive analytics?

To take the full advantage you need:

1) Unified Marketing Measurement

To predict future events, you need a vast quantity of historical data.

This means you must track each customer engagement such as social likes, comments, emails, conversations, more.

All of these data must then be correlated to reveal insights into consumer behavior.

2) Predictive Marketing Software

Predictive software can track a huge amount of historical data and allow you to forecast a customer’s “next move” in your marketing model – especially online.

Predictive tools can help you predict engagement points where a customer may convert.

They allow you to target the right audience, attract customers with the right messages, forecast seasonal customer behavior, catch signals which indicate that a customer is likely to abandon your brand, etc.

In other words, predictive analytics allows a data-driven marketer to act in time, win, and retain customers.

Popular predictive analytics software: Alteryx, SAP Predictive Analytics, Dataiku, Sisense, Maroon.ai, InsightSquared

8. Know The Power Of Artificial Intelligence And Use It

Artificial Intelligence in marketing, is changing how companies help and interact with their customers.

What is Artificial Intelligence (AI)?

AI is a technology that allows computers to perform tasks that usually people perform. For example, the ability to communicate with customers, the ability to make some decisions, etc.

AI is a complex technology that works via software tools.

The AI tools are designed to process and analyze large sets of data, then making conclusions based on that data. AI software is also used for automating a variety of repetitive tasks.

This functionality can power everything from chatbots to Amazon recommendations.

The AI’s main goal is to help you do things better, faster, and cheaper while allowing you to make successful data-driven decisions.

How you, as a data-driven marketer, can use AI?

Here are some examples of where you can apply AI:

1) Use AI For Market Research

AI improves traditional market research and can do a better job in many ways.

For example, an AI-powered, fully self-service software tool that automatically creates research reports, can save you a ton of time.

Collecting open-ended feedback from a target audience is one of the most important parts of market research.

AI-based tools can perform open-ended feedback analysis and extract meaning and emotions from the collected text.

Moreover, AI-based market research software delivers actionable results in real-time, selects the right target customers, removes human errors, and even can track a customer’s eye movements to find out what attracts their attention.

Popular AI-powered market research tools: Qualtrics, SmartReader, Question Pro Locus, SurveyMonkey,

2) Use Chatbot. It Transforms The Marketing World

What is a chatbot?

A chatbot is a software that imitates human conversation (or a chat) with users over websites, mobile apps, phones, etc. It’s an AI-powered digital assistant that communicates with people.

Chatbots are changing the marketing world and make it more data-driven.

How?

For example, chatbots can work on social media platforms, collecting data about every single user with whom they chat. Then, you can use these data for further analysis of customer behavior.

Furthermore, chatbots can boost your sales as offer personalized shopping advice based on the customer’s purchase history.

The chatbot also works as turns raw data into a conversation. To be able to answer customer queries, chatbots use data from previous conversations, orders, browsing behavior, emails, telephone transcripts, documents, etc.

Unlike humans, chatbots can instantly process huge amounts of data relating to an individual customer.

Thereby, data is invaluable in conversational marketing, allowing instant personalization of responses designed to drive customer engagement.

Data is also the reason for the key chatbot benefits which are: 24-hour availability, instant and consistent answers, endless patience, increased customer interactions and sales, a deeper understanding of customers, etc.

3) Use AI In Your Email Marketing

AI makes email marketing more powerful than ever.

How?

With the help of AI-powered software tools, you can run automated email campaigns that are driven by customer history data such as past purchases and browsing behaviors.

AI tools also let you know what kind of content is going to be most effective in creating your welcome emails or retention emails.

AI is able to provide you with a great email subject line that stimulates customers to click through.

And finally, AI also is great at choosing the frequency of your email campaigns as well as determining the best time to send out your emails so they’ll be read.

Popular AI-driven email marketing software: Phrasee, Persado Pro Email, Act-on, Automizy, ZetaHub

4) Use AI In Advertising

Artificial intelligence is already producing very good results in the field of advertising.

How?

AI-powered tools can write and test advertising copy for you on different platforms such as Facebook, Instagram, and SMS. Thus, you can optimize your ads for more clicks and more revenue.

AI technology is used to analyze how your ads perform across platforms and channels, then offer suggestions on how to improve your performance.

Besides that, artificial intelligence shows you exactly which customers to target and how to make them act on your ads.

Popular AI-driven software for advertising: Amplero, Gumgum, Wordstream, Sizmek, Pathmatics

5) Use AI In Video Marketing

AI is the future of video marketing.

Why?

There are AI-powered tools that do amazing things such as emotion-detection that measures user facial expressions. AI also identifies and verifies faces in videos. Thus, you will know how viewers react to your video advertisement.

The tools can also provide businesses with insights into an audience’s viewing behavior.

This data will help you understand where and why viewers stop watching business videos and which video content makes viewers purchase.

AI analytics allows you to test video content and have an idea of results before investing in a video effort. This opportunity to test and learn shows you a clear view of what your video content can achieve.

Popular AI video marketing software: Magisto, Gliacloud, JUMP Data-Driven Video, Lumen5, Kairos

6) Use AI In Social Media Marketing

Artificial intelligence allows data-driven marketers to increase revenue and reduce costs from social media marketing.

How?

AI-powered software tools can completely auto-generate social media content across networks and channels and even automatically include hashtags and links.

They can also auto-schedule these shares in bulk and handle some types of social media creation.

AI software tools deliver valuable insights from your brand’s social media presence as they analyze social media posts at scale and understand what your audience says in them.

That data allows you to track your brand reputation, find new audiences to target and identify promising customer trends.

Popular AI-powered tools for social media marketing: Yext, Socialbakers, Pattern89, Cortex

Artificial intelligence is a technology that can help you create successful marketing strategies backed by data at scale.

9. Ensure Data Privacy And Security To Make Your Customers Feel Safe

Ways To Ensure Customer Data Privacy - an infographic

Today, data privacy and security are more important than ever before.

Governments are creating and applying more and more data privacy regulations and guidelines.

So, it is critical for data-driven marketers to understand these rules and follow them. Otherwise, they will face penalties and/or fines.

All marketers are legally obligated to treat private personal data respectfully and fairly.

On the other hand, we know that collecting customer data is beneficial to marketers because it allows them to create a more targeted and personalized customer experience.

So, as a data-driven marketer, you need to balance personalization and privacy.

How?

Here are some tips to perform your marketing campaigns with respect to privacy:

  • Provide your customers with the assurance that you value their privacy and explain to them the methods you use to keep their data secure.
  • Create an individual web page for your privacy policy.
  • Show your BBB-certification and other security logos on your website.
  • When collecting consumer data, do what is needed to keep it secure. For example, that might mean to work with reliable third-party apps that keep data secure. Or you might need to train the marketing team, so they understand the main points of vulnerability.
  • Explain clearly to customers how you will use their information once it is collected.
  • Offer multiple privacy options to your customers. For example, give them the choice to create their profile with less information. Thus, you can make them feel safer.
  • Allow customers to decline to receive emails and promotions.
  • Never sell customer data to third parties.

Despite the rules and privacy guidelines, there remain significant data opportunities for companies. Personal customer data is the world’s most valuable resource for you as a data-driven marketer.

10. Stay Up To Date With The Latest Marketing Trends

Ways to stay up to date with marketing trends - infographic

It is not an exaggeration to say that marketing moves at the speed of light and you need to move at the same pace.

In other words, as a data-driven marketer, you should keep up with marketing trends.

Why?

Every week there’s a new marketing tool or app that you should have if you want to stay competitive.

Additionally, you should be aware of the ever-changing algorithms or requirements of Facebook and Google because they have a huge impact on your marketing efforts.

It seems that new trends and techniques pop up constantly and transform the way we connect and market to customers.

However, keeping pace with market trends is not as scary as it sounds.

So, how can you stay up today with marketing trends?

Here are some good ways:

  • Follow the marketing industry influencers. They always provide valuable information on the latest trends, including data-driven marketing shifts. Some of the most popular influencers are Neil Patel, Larry Kim, Rand Fishkin, Brian Dean, and Ann Handley.
  • Use Google Alerts. It is a free service that emails you every time when it finds newly posted results on a topic that you want. For example, if you flag ‘Artificial intelligence marketing’ in Google Alerts, you will be alerted with an email when these keywords appear in Google search results.
  • Research your competitors. Observing what your competitors are doing is a great way to spot new trends, news, and opportunities. There are many free competitor analysis tools that will help you perform web competitive intelligence like a pro.
  • Keep an eye on websites for market research news and reports such as Market Research Reports and Industry Analysis, Forrester, Statista, WARC, GreenBook Blog, NewMR, Forbes, etc. They can give you a real picture of your industry landscape, provide you with insights on a wide range of marketing topics, and determine new trends and directions.
  • Use Social Media networks. They can help you stay on top of emerging marketing trends. For example, you can monitor trending topics and hashtags on Twitter, connect with professionals in your industry, follow influencers, join Facebook groups relevant to your industry, etc.
  • Join marketing and trade associations. Joining a marketing association helps you to learn from the collective knowledge of a group of professionals in your industry. The associations allow its members to attend workshops, networking events, and keep up with the latest trends. Popular associations you can join are: American Marketing Association, eMarketing Association, Insights Association, Branded Content Marketing Association, Mobile Marketing Association, etc.
  • Go to industry conferences. Attending a marketing industry conference is a great way to check what others in your field are doing, network with other professionals, learn from experts, and stay ahead of the curve.

Download the bellow infographic in PDF

How To Become A Data Driven Marketer - Infographic

Conclusion

Combined with technology, data drives much of the revolution happening in the business and personal life today.

If you want to be a truly data-driven marketer, you should aim to stay at the epicenter of this revolution.

It’s not enough to learn data literacy, set metrics, and use the right software tools.

You need a mindset that makes you find the story behind your data and recognize the opportunities that it provides for superior customer experience.

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.