Definition Content Marketers in 2017

Content marketers in 2017 are increasingly existence called upon to diversify their skills and play various roles on the team.

And modern marketers are rarely hired only to perform social media tasks; instead, they expect to write content, understand data, and work with sales to increase profits.

This year, spending on the digital marketing project increased by 12% to 15% on average.

To maximize the opportunities in this broadening field, marketers must consider learning and developing these ten skills.

1. Analytics

• The whopping 84% of marketers indicate that they cannot measure and report their contribution to the company.
• And business leaders want complex numbers on the impact of marketing to gauge the impact of campaigns.
• And such, marketers need to become fluent in analytics to produce relevant data and prove the worth.
• Also, marketers who can measure ROI are in high demand, as companies want to know what they are putting in and getting out.
• And those who can continuously measure and alter campaigns based on data increase the chances of rising to higher positions within the company.
  Also in professionals who want to thrive must dive deep into the analytical mindset to stay on top.

2. Writing and Communication

• Content marketing is alive and well, with 74.2% of companies saying that content marketing increases their marketing teams’ lead quality and quantity.
• And while artificial intelligence and machine learning tools are becoming increasingly prominent in the marketing arena, nothing compares to the human-telling excellent story.
• Also, marketers need to play a significant role in building their effective content strategy around the buyer’s journey.
• And also, content plays a vital role in educating, informing, inspiring, and motivating buyers and prospects.

Also, marketers need to understand how to create content that converts at each of these levels.

3. Marketing Automation

• Marketing automation can significantly increase our campaign performance and should be a required skill for any professional in the field.
• And learning how to use automated workflows that continually nurture leads through emails or content is not easy.
• But it works -research shows that marketing automation can drive up to 14.5% increases in sales productivity and a 12.2% reduction in marketing overhead.

4. Research

• Marketing campaigns start with research, so honing this skill is essential.
• Marketers need to take a deep understanding of buyers, market trends, analytics, and opportunities in their field – this requires advanced research skills beyond a Google Search.
• With research skills, the marketer should focus on improving the subject matter expertise of the business.
• And fast its better understanding of the buyer and market. Marketers that can research effectively – and quickly – are a bonus to any team.

5. Coding Skills

• Marketers who don’t know HTML and CSS are probably becoming pains for the development team.
• Also, learning the basics of both can help quickly resolve minor issues, such as blog or website changes.
• And understanding how to modify the MailChimp template and research the competitor’s website also requires these skills, and these are becoming expected rather than desired skills.

Affinity Data Definition

Affinity data, let’s say we take pin boards full of DIY ideas, a few crafting blogs that we frequent, and the email account connected to several crafting stores in our area.

On the weekends, we check in at our favorite craft fair using Facebook, and occasionally we Google new places to buy craft supplies.

The way interacts with websites and social communications (including email) provides affinity data.

In short, the “database of affinity” is the expansive portfolio of individuals’ likes and dislikes based on what they interact it.

The affinity data that you produce from all the characteristics listed reveals that, dang, we like crafts.

Unlike search intent, affinity is the long-term measurement. The idea is that we like something now. And chances are we are still going to like it in the year and two. It’s a measurement of emotional attachment.

How does Affinity Data Work?

• Right now, if we were to search for “party games for kids,” we might get lists of ideas to incorporate into our child’s next birthday.
• However, if  its complete into the search engine’s algorithm, it can know that we “liked” our friend’s shared link to grills on sale.

What is the Future is near in Affinity Data?

• Who leading the affinity marketing revolution? Why, none other than Google, of course. Removing keywords is step one.
• It’s integrating the new data is very likely to step two. We can already see the baby steps of the movement in Google’s integration of +1 data into search results.
• But it’s going to much more extensive. Right now, affinity data is pretty much inaccessible. We take the data, but not any way to translate it into valuable information.
• However, soon we see companies emerging to take on breaking down the raw information into meaningful statistics.
• And checked in at the local YMCA and regularly receiving emails from the pool-building company.
• Also, considering affinity, our results might show extra outdoor and even water-based games.

Also Read: What is the Website Content Audit? – Purpose, Conduct, and More

The website content audit is the process that includes looking at all the content (data) in the website and the marketing funnel.

And it’s determining the strong and weak points of it to maximize the marketing activities. And its process is sometimes confused with the content inventory.

It’s just the list of all items on our website. When done effectively, a great content audit will help answer questions about which parts of the site an audience likes more and dislikes.

It gives clear insight into potential issues that must fix to enhance the productivity of our website.

Why is the Purpose of the Website Content Audit?

• There are several reasons we want to conduct the website content audit, but usually, there are two main ones. SEO and Content Marketing.

1. SEO

• When the website content audit complete for SEO purposes, the process helps understand the weaknesses of the site’s SEO.
• And it’s dividing the different content into different categories associated with the site and using metrics, and we can understand what updates the site needs to enhance its SEO performance.

2. Content Marketing

• The content marketer can use the content audit to understand how the website audience accepts the content. And what changes in content types and delivery must complete improving the site’s performance better.

How to Conduct the Website Content Audit?

1. Create the Spreadsheet Consisting of all the content assets

• Before doing the content audit, we must find the content we want to audit. There are two options: manually searching through the site for URLs and using the tool to compile our content inventory.
• It combines all of us URLs manually into the Excel and Google Doc spreadsheet can the very time-consuming project for the big website.
• They are using DYNO Mapper’s content analysis tool because it can automate the entire process of compiling our content inventory.

2. Please find all the Asset Data, and it depends on the Objectives of the Content Audit

• Now we use the columns we left in step #1. Find the data points of the pages and the site and paste them into our Excel. And Google Doc spreadsheet and open up DYNO Mapper after crawling our website.

Also Read: What are the Publishing Platform Guidelines? – 10 Guidelines for Publishing Platforms

LinkedIn’s Publishing  platform guidelines is the ideal forum to develop and strengthen our professional identity by sharing our knowledge and expertise in our job. It’s tied to our professional profile.

What are the Guidelines for Publishing Platforms?

• Here are some guidelines to consider as we use the publishing platform:
• Content published on LinkedIn’s publishing platform remains our work. We own the rights to any original articles we publish.
• We can request the deletion of our content from our platform at any time.
• Also, LinkedIn can distribute our content, annotate our content example to highlight that our views may not reflect the views of LinkedIn. And sell advertising on pages where our content appears.

Also Read: What is the Content Inventory? – Definition, Organize, Inventory, and More

• Expect that our articles its publicly available and can share.
• And postings for job openings and job opportunities did not belong on our publishing platform.
• Also, advertisements and promotions for events, products, and services did not appropriate content for article publishing. Advertisements can purchase using LinkedIn Marketing Solutions.

Also Read: What is the High-Level Marketing Plan? – 3 methods

• Also, remember to professional and did not post anything misleading, fraudulent, obscene, threatening, hateful, defamatory, discriminatory, and illegal.
• We are responsible for the content of our articles, including any harm caused by us to others and damage caused through our use of this service.
• And LinkedIn may restrict, suspend, and terminate our LinkedIn account and disable our articles for any violation of the User Agreement. Please refer to our User Agreement for complete details.
• Also, LinkedIn disables accounts found using infringing content.

Also Read: What is Content Intelligence? – Three Steps Process, Benefits

Also Read: What is the Content Strategy Template? – Definition, Use, included, and More

Content intelligence uses AI and data to provide insights into content.

Also that can help marketers improve and optimize their strategy and make the content more compelling.

What are the Three Steps Process followed in content intelligence?

• Most content intelligence systems follow the three-step process:

1. Data Collection

• It’s usually from various sources, including web analytics, statistics from social media, customer surveys, our CRM, and other business metrics.

2. Analysis

• During this phase, the system will mine the data to spot patterns, trends, and correlations.

3. Insights and Recommendations

• After the data can analyze, the system can provide actionable insights to improve our content effectiveness and value.
• Also, boost our ROI and better meet our customer needs.
• It also makes predictions about future trends and how we can improve our content strategy in the future.
• Also, content intelligence essentially helps marketers understand their content and audience better. So it can make better decisions and improve the content marketing strategy.

What are the Benefits of Content Intelligence?

• Why must we consider using the content intelligence platform in our marketing efforts?
• And content intelligence offers several benefits over the traditional research, production, and distribution process.

1. A Better Understanding of our Audience

• Do we know who is consuming our content? Content intelligence provides valuable insights into our audience.
• And which helps us better meet the needs.
• Also it improve our targeting for higher engagement.
• And its platform will look into all our customer data.
• It including demographics, interests, preferences, previous interactions with our brand.
• Also, browsing behavior provides valuable insights into the type of content we must produce.

2. Better Customer Experience

• We can create more effective and valuable content for our actual audience (not just who we think we are writing for).
• We all improve the overall experience for our customers and users and help to boost our brand reputation
• And all our customers at the different stages of buying journey.
• And also it can help us fine-tune our content marketing strategy to produce different types of content for all stages of this journey.
• We can more easily guide initial leads through to sales.
• And also keep our current customers engaged.
• Also, it means we can “hyper-personalize” our content for the targeted audience.
• It making it highly relevant and more likely to convert.
  
  

Media mix optimization is the analytical process during which marketers evaluate the performance of various campaigns to determine.

And which take a positive impact on the core audience and which did not. With this information.

And marketers can optimize the media mix, investing extra time and capital in the channels and messages that better resonated with consumers.

As consumers become more adept at tuning out marketing messaging, creating a tailored, cheerful customer experience becomes the number one priority for marketers.

And marketers are investing more in campaigns, with marketing budgets growing steadily over the last few years.

However, recently, marketing budgets take stalled, with executives and C-suites looking for complex data demonstrating the impact of these campaigns and the precise effects on ROI.

What is the Importance of the Media Mix Optimization in Modern Marketing?

• Media mix optimization plays a crucial role in modern marketing, as it helps to achieve two main goals:
• It creates the most tailored customer experience
• Also, the maximize marketing ROI
• The media mix optimization meets both of these needs by evaluating data on engagements across touchpoints.
• Also, marketers understand what channels, creativity, timing, etc. that an individual will engage. And marketers can then devote extra time and money it creating those experiences for that user.
• In turn, this user is extra likely to take the brand’s positive perception, moreover, through omnichannel efforts.
• Also, the brand can ensure they reach the consumer with these optimized messages the moment they decide to shop and make the purchase, thus increasing ROI.
  
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What Optimization Challenges for Marketers?

• There are three core questions marketers need the answer when trying to determine where to optimize the campaigns.
• The main overarching question is: where should we spend my money?
• This question can only answer when these feeder questions answered:
• Which channels did my target audience use?
• When and what type of creativity and messaging does my target audience respond to it?
• These are challenging questions to answer, and learning this information to know where marketers.
• It must spend the money ultimately requires that they have in-depth analytical capabilities.
• And it’s understanding where, when, and with what message to target consumers.
• The most effectively requires marketers to deploy advanced attribution models that offer granular person-level data on each touchpoint engaged while considering external factors.

Also Read: What is the Content Engineering? – Important, Need

Content engineering is a discipline to design, acquire, manage, deliver. And the use of content and the technologies deployed to support the complete content lifecycle.

Why its Important?

• It ensures that improvement investments achieve the most significant benefits by introducing rigorous discipline to designing content and associated technical and business processes.

Also Read: What is Hidden Content Gems in Business? – 8 Examples of Hidden Content Gems in Business

Why does the Content Strategist Need to Know this?

• Engineering applies scientific principles to the design, development, support, and use of systems that are themselves made up of structures and processes.
• The challenge of engineering is to design systems that balance and integrate various considerations, including usability, sustainability, affordability, manufacturability, efficiency, and effectiveness.
• It overcame this challenge; engineering approaches these objectives with systematic use of precedents, standards, frameworks, measurement, testing, and state-of-the-art technologies.

Also Read: What is the Content Inventory? – Definition, Organize, Inventory, and More

• It becomes increasingly apparent that, in the 21st century, the business of content cannot continue operating as the cottage industry.
• However well-intentioned, the professionals working in isolation and leveraging the preferred desktop tools.
• And also its personalized techniques cannot keep up with the demands of a rapidly evolving and increasingly digital global economy.

Also Read: What is Digital Governance Critical for Digital Transformation? – Definition, Elements, and more

• And content engineering seeks to bring content into the modern era by ensuring that content structures and tools.
• Its process design makes the most current best practices, proven content technologies, applicable design patterns, and existing implementation experience.
• Also, simply put, the discipline of content engineering represents the context within which content strategists, and indeed everyone involved in the content lifecycle, will operate from now on.

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