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Despite widespread variations in return-to-school plans for the fall term, consumers are starting to prepare for purchases. Priorities on what to purchase have definitely changed.

It may compell marketers to think deeper when prepping for this year’s campaigns. Advertisers that connect with shoppers early and throughout the customer journey see more sales and greater returns on advertising spend (ROAS) than advertisers who focus solely on lower-funnel tactics. Think awareness, consideration and conversions.

The findings from Rakuten Advertising’s latest consumer survey on back-to-school spending shows a definite shift. In fact, consumers expect to spend more on “cleanliness” supplies, such as tissues, sanitizer, and masks, more than any other product category.

As of mid-June, half of parents surveyed with school-age kids still don’t know how school will be conducted in the fall. Some 34% of back-to-college shoppers are not experiencing any changes to the start of their school years, while 32% say they will attend online classes rather than in person.

The data suggests consumers will spend about 28% on grade- and high-school age children compared. This group will spend about 23% on traditional gear, like backpacks and notebooks, 19% on technology, and 3% on new sporting equipment. About 26% represents the amount consumers will spend on college and university students. Some 21% will be spent on technology –laptop, and tablet — 13% on traditional supplies, and 12% on clothing.

About 60% of all back-to-school shoppers are also browsing for holiday gifts, and more than 35% are buying school supplies and holiday gifts at the same time.

Shopping continues to shift online, especially with many of stores closed. In Orange County, California, stores like Macy’s, Bloomingdale’s and Saks Fifth Avenue remain open, while mom-and-pop stores were required to close.

Some 85% of Rakuten survey respondents expect to do some of their shopping online, with only 15% saying they will shop exclusively in stores. This represents a significant jump from the last major shopping season, where only 55% of 2019 holiday shoppers planned to purchase holiday gifts online.

Shoppers may be more cautious about overall spend, with more than 50% of shoppers for grade and high-school children planning to spend less than $500 on back-to-school supplies this year.

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Laurie Sullivan is a writer and editor for MediaPost. You can reach Laurie at [email protected].

Sourced from MediaPost

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Simple search engine optimization hints to increase your traffic

If you want more visitors to your website, one of the first things you’ll want to do is improve your website’s ranking on Google. This process is called search engine optimization (SEO). It is a crucial element of managing a successful website or online store.

Many things have been said about SEO, including that it is more luck than skill or that it’s a pay-to-play system, where the highest-paying sites get the best visibility. Neither of these is true.

In this article, we will provide you with several basic steps you can take to improve your SEO strategy and ensure that your website is shown prominently on Google searches.

What are organic results?

When someone makes a Google search, they are shown two types of results: paid results and organic results.

Paid results are those from websites that have paid Google directly for their website to be shown above organic results. Studies have shown that while this is one way to increase traffic to your site, Google users prefer to click on organic results.

Organic results are not paid for and are determined by a variety of factors, including the page’s content and metadata, and how closely these relate to the search query. Therefore, the goal of SEO is to increase the number of organic results that lead to visits to your website.

How search engines determine what pages to show and how to show them is complicated and goes well beyond this article’s scope. However, a few essential points should be made.

First, search engines use bots or computer programs to trawl the web, following links and visiting all publicly accessible websites. They then use this information to build enormous indexes that are consulted each time an internet user performs a Google search.

Once a user has entered a query, the search engine will refer to these extensive indexes, incorporating tens or hundreds of different factors into complex ranking algorithms. These, in turn, determine what content to display on the search results page. PageRank, Google’s preferred algorithm, relies on over 200 different metrics to determine Google search rankings.

You can leverage these hundreds of metrics to improve your website’s Google ranking. Although we won’t be able to look at all 200, we’ll discuss the most important ones.

9 steps to success

Let’s look at nine essential steps that you can take to improve your website’s Google ranking.

1. Creating a sitemap is one of the easiest things you can do to improve your website’s search rankings. This will enable Google’s bots to quickly and efficiently index your entire site, and it will ensure that no pages are missing (and cannot be found through Google searches). You can submit a sitemap file to Google via their Webmasters website.

2. Make sure you provide the necessary information to bots with a robots.txt file. More information is available on this website, but basically, keeping on the bots’ good side is one of the best things you can do to ensure your website features prominently in Google searches.

3. Here’s a simple one: Delete duplicate content. Search engine bots hate duplication, and it’s one of the easiest ways to see your site tumble down the Google search rankings. Some website managers think that creating pages designed to detect search engine bots is a good idea, but it will backfire and hurt your website’s SEO rankings.

4. Although less crucial than in the past, it still helps to create static versions of your webpages. Static content is more easily interpreted by search engine bots, at least more efficiently than dynamic content.

5. Create permalinks for your pages using keywords (for example: “/products/fridges/dynatech-coolfreezepro/”). These will result in better search rankings than permalinks containing mostly numbers or other random information. A good rule of thumb is that the more identifiable data you can provide the bot, the better.

6. An organized website with clear internal linking architecture will have higher Google rankings. This means displaying important information on the homepage and ensuring that similar content is grouped together on dedicated pages. A menu such as the one below makes it easy for search engine bots to index your site.

Example: www.mysite.com/news/products/category-1/category-2/blog/about/contact.

7. When creating text-based content, use keywords that your audience is likely to search for. These should be used throughout your text (don’t overdo it, though) and featured in the title of your article and its permalink. And remember, search engine bots can’t read images or text. If your site posts have many pictures, videos, or screenshots of text, add captions or descriptions that bots will be able to interpret.

8. Make sure your keywords are related to your business objectives. If you don’t know which ones are most relevant to your field, look them up. Finding the right keywords is essential if you want to feature prominently on Google searches.

9. One of the main ways that Google and other search engines rank content is by the number of sites that link to yours. If your webpages are frequently mentioned on other websites, your site will quickly begin shooting up the Google rankings. However, this is not always simple, and entire businesses exist to increase the number of inbound links to your website.

Time to call an SEO expert?

While the advice in this article will undoubtedly help you improve your website’s Google rankings, there’s only so much that you can do yourself. SEO agencies or experts have worked in this field for years and have an intuitive understanding of search engine algorithms.

Trustworthy SEO agencies will provide results-based testimonials that show how they improved a business’s SEO and Google rankings. However, be wary of SEO experts promising top-ranking Google results or radical increases in traffic to your site. Real SEO is a process of gradual improvement rather than overnight success.

A final point worth making is that when it comes to SEO, money can only get you so far. An in-house SEO strategy or a trustworthy SEO agency can certainly help you improve your Google search ranking. But the only guaranteed way to do this is to create high-quality content. Without that, even the best SEO strategy will only get you so far.

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Sourced from tom’s guide

Sourced from yahoo finance.

Technology and new ideas often go hand in hand. The challenge is often to express new concepts clearly and eloquently. This is where effective marketing comes into play.

PR and Content Marketing

Getting professionally written editorial content for your brand is a key factor in your path to success.

PR is an ongoing effort throughout the lifecycle of a company. Before the launch, you need a strong, concerted PR and outreach effort to reach all the major crypto sites. But even after, you need to keep the community informed and engaged with interesting new developments, partnership announcements, background stories, and news.

Email Marketing

Email marketing is essential in blockchain. There is no better way to get to new users, investors and clients where you have the most of their attention: in their inbox.

Always track and measure your email marketing. Many companies claim to have hundreds of thousands of subscribers in their list, but if you look at their email open rates, they are often below 1%. On CryptoCoin.News, we have an average open rate of over 25% because our readers did sign up to receive interesting crypto news.

Video Marketing

In the digital age, content is king. Video content is particularly adept at building credibility and authority for your token sale.

Successful companies have typically two types of video:

  • Explainer animation to give some background of your industry and your solution.
  • Interviews with the founders and company presentations by third parties.

Influencer Marketing

Influencer marketing is a hybrid of old and new marketing tools. It takes the idea of celebrity endorsement and places it into a modern-day content-driven marketing campaign. Influencer Marketing works because of the high amount of trust that influencers have built up with their following and recommendations from them serve as a form of social proof to your brand’s potential customers.

In blockchain marketing, trust and authority building is a key component. That’s why Influencer Marketing is an important option in the marketing mix. Getting endorsed by the top YouTube crypto influencers can strongly influence buying and investing decisions.

Trust the Leading Crypto Marketing Agency

The team behind CryptoCoin.News has been active in online marketing for over 10 years, with experience in blockchain marketing since 2016. Trusted by over 150 clients, they know exactly which channels work for blockchain marketing. Paired with efficient, reliable and fast execution, CryptoCoin.News can be your partner for all blockchain marketing needs. Get in touch to schedule a free consultation at https://cryptocoin.news/advertise-with-us/.

Sourced from yahoo finance

By Isaac Sacolick,

A brief guide to the analytics lifecycle, the expanding array of tools and technologies, and selecting the right data platform

Whether you have responsibilities in software development, devops, systems, clouds, test automation, site reliability, leading scrum teams, infosec, or other information technology areas, you’ll have increasing opportunities and requirements to work with data, analytics, and machine learning.

Your exposure to analytics may come through IT data, such as developing metrics and insights from agile, devops, or website metrics. There’s no better way to learn the basic skills and tools around data, analytics, and machine learning than to apply them to data that you know and that you can mine for insights to drive actions.

Things get a little bit more complex once you branch out of the world of IT data and provide services to data scientist teams, citizen data scientists, and other business analysts performing data visualisations, analytics, and machine learning.

First, data has to be loaded and cleansed. Then, depending on the volume, variety, and velocity of the data, you’re likely to encounter multiple back-end databases and cloud data technologies.

Lastly, over the last several years, what used to be a choice between business intelligence and data visualisation tools has ballooned into a complex matrix of full-lifecycle analytics and machine learning platforms.

The importance of analytics and machine learning increases IT’s responsibilities in several areas. For example IT often provides services around all the data integrations, back-end databases, and analytics platforms.

Furthermore, devops teams often deploy and scale the data infrastructure to enable experimenting on machine learning models and then support production data processing, while network operations teams establish secure connections between SaaS analytics tools, multi-clouds, and data centres.

In addition, IT service management teams respond to data and analytics service requests and incidents; infosec oversees data security governance and implementations and developers integrate analytics and machine learning models into applications.

Given the explosion of analytics, cloud data platforms, and machine learning capabilities, here is a primer to better understand the analytics lifecycle, from data integration and cleaning, to dataops and modelops, to the databases, data platforms, and analytics offerings themselves.

Analytics begins with data integration and data cleaning

Before analysts, citizen data scientists, or data science teams can perform analytics, the required data sources must be accessible to them in their data visualisation and analytics platforms.

To start, there may be business requirements to integrate data from multiple enterprise systems,extract data from SaaS applications, or stream data from IoT sensors and other real-time data sources.

These are all the steps to collect, load, and integrate data for analytics and machine learning. Depending on the complexity of the data and data quality issues, there are opportunities to get involved in dataops, data cataloging, master data management, and other data governance initiatives.

We all know the phrase, “garbage in, garbage out.” Analysts must be concerned about the quality of their data, and data scientists must be concerned about biases in their machine learning models.

Also, the timeliness of integrating new data is critical for businesses looking to become more real-time data-driven. For these reasons, the pipelines that load and process data are critically important in analytics and machine learning.

Databases and data platforms for all types of data management challenges

Loading and processing data is a necessary first step, but then things get more complicated when selecting optimal databases. Today’s choices include enterprise data warehouses, data lakes, big data processing platforms, and specialised NoSQL, graph, key-value, document, and columnar databases.

To support large-scale data warehousing and analytics, there are platforms like Snowflake, Redshift, BigQuery, Vertica, and Greenplum. Lastly, there are the big data platforms, including Spark and Hadoop.

Large enterprises are likely to have multiple data repositories and to use cloud data platforms like Cloudera Data Platform or MapR Data Platform, or data orchestration platforms like InfoWorks DataFoundy, to make all of those repositories accessible for analytics.

The major public clouds, including AWS, GCP, and Azure, all have data management platforms and services to sift through.

For example, Azure Synapse Analytics is Microsoft’s SQL data warehouse in the cloud, while Azure Cosmos DB provides interfaces to many NoSQL data stores, including Cassandra (columnar data), MongoDB (key-value and document data), and Gremlin (graph data).

Data lakes are popular loading docks to centralise unstructured data for quick analysis, and one can pick from Azure Data Lake, Amazon S3, or Google Cloud Storage to serve that purpose. For processing big data, the AWS, GCP, and Azure clouds all have Spark and Hadoop offerings as well.

Analytics platforms target machine learning and collaboration

With data loaded, cleansed, and stored, data scientists and analysts can begin performing analytics and machine learning. Organisations have many options depending on the types of analytics, the skills of the analytics team performing the work, and the structure of the underlying data.

Analytics can be performed in self-service data visualisation tools such as Tableauand Microsoft Power BI. Both of these tools target citizen data scientists and expose visualisations, calculations, and basic analytics.

These tools support basic data integration and data restructuring, but more complex data wrangling often happens before the analytics steps. Tableau Data Prep and Azure Data Factory are the companion tools to help integrate and transform data.

Analytics teams that want to automate more than just data integration and prep can look to platforms like Alteryx Analytics Process Automation. This end-to-end, collaborative platform connects developers, analysts, citizen data scientists, and data scientists with workflow automation and self-service data processing, analytics, and machine learning processing capabilities.

Alan Jacobson, chief analytics and data officer at Alteryx, explains, “The emergence of analytic process automation (APA) as a category underscores a new expectation for every worker in an organisation to be a data worker. IT developers are no exception, and the extensibility of the Alteryx APA Platform is especially useful for these knowledge workers.”

There are several tools and platforms targeting data scientists that aim to make them more productive with technologies like Python and R while simplifying many of the operational and infrastructure steps. For example, Databricks is a data science operational platform that enables deploying algorithms to Apache Spark and TensorFlow, while self-managing the computing clusters on the AWS or Azure cloud.

Now some platforms like SAS Viya combine data preparation, analytics, forecasting, machine learning, text analytics, and machine learning model management into a single modelops platform. SAS is operationalising analytics and targets data scientists, business analysts, developers, and executives with an end-to-end collaborative platform.

David Duling, director of decision management research and development at SAS, says, “We see modelops as the practice of creating a repeatable, auditable pipeline of operations for deploying all analytics, including AI and ML models, into operational systems.

“As part of modelops, we can use modern devops practices for code management, testing, and monitoring. This helps improve the frequency and reliability of model deployment, which in turn enhances the agility of business processes built on these models.”

Dataiku is another platform that strives to bring data prep, analytics, and machine learning to growing data science teams and their collaborators. Dataiku has a visual programming model to enable collaboration and code notebooks for more advanced SQL and Python developers.

Other analytics and machine learning platforms from leading enterprise software vendors aim to bring analytics capabilities to data centre and cloud data sources. For example, Oracle Analytics Cloud and SAP Analytics Cloud both aim to centralise intelligence and automate insights to enable end-to-end decisions.

Choosing a data analytics platform

Selecting data integration, warehousing, and analytics tools used to be more straightforward before the rise of big data, machine learning, and data governance.

Today, there’s a blending of terminology, platform capabilities, operational requirements, governance needs, and targeted user personas that make selecting platforms more complex, especially since many vendors support multiple usage paradigms.

Businesses differ in analytics requirements and needs but should seek new platforms from the vantage point of what is already in place. For example:

  • Companies that have had success with citizen data science programs and that already have data visualisation tools in place may want to extend this program with analytics process automation or data prep technologies
  • Enterprises that want a toolchain that enables data scientists working in different parts of the business may consider end-to-end analytics platforms with modelops capabilities
  • Organisations with multiple, disparate back-end data platforms may benefit from cloud data platforms to catalog and centrally manage them
  • Companies standardising all or most data capabilities on a single public cloud vendor ought to investigate the data integration, data management, and data analytics platforms offered

With analytics and machine learning becoming an important core competency, technologists should consider deepening their understanding of the available platforms and their capabilities. The power and value of analytics platforms will only increase, as will their influence throughout the enterprise.

Feature Image Credit: Dreamstime

By Isaac Sacolick,

Sourced from ARN from IDG

By Benjamin Vaughan

Establishing customer engagement and keeping them engaged is more important than ever for brands. Now that many brands have temporarily lost the ability for invaluable face-to-face contact with customers, it’s crucial that they diversify their engagement for this new normal.

What are brands having to do differently?

Where possible, brands are figuring out if and how they can offer their services online. This is understandably tricky for people like hairdressers and massage therapists. And even if people working in these professions did manage to offer services online, they do so at the risk of their post-lockdown income—will people want to pay $50 for a massage if their partner can do it for free?

Many of the bigger consumer brands quickly boosted their capacity for home deliveries to account for a much higher online demand. And some restaurants and bars developed delivery systems for the same reason.

Aside from simply making an income from customers, brands need to work out how to keep their customers engaged with their products or services.

Livestreaming

Customers can’t pop into their local branches for now so they’re not able to get a feel for the brands’ latest offerings. Through livestreaming, brands can give customers introductions to new products and services, delivered by a representative of the brand, just as if they visited a branch.

Fitness and wellness coaches have embraced livestreaming as a way to host classes and training (often for free). Giving customers the real-time presentation a livestream affords, a brand can really make them feel included and maintain the idea that they’re consuming the product or service.

Goodwill gestures and rewards

Brands need loyalty right now. And the kind of loyalty we’re used to isn’t possible—rewarding x amount of purchases with a free gift isn’t very useful. Offering gestures of goodwill and usable rewards will make customers feel thankful and it’ll give them a helpful reminder that the brand is still around and that it’ll still be there when lockdowns are eased.

Goodwill gestures have proved to be valuable to brands from a marketing perspective too. Lists have been doing the rounds of companies offering discounts to essential workers and stepping up to the fight against the virus. Among them are the likes Armani, Kiehl’s and Co-op. Conversely, those that haven’t shown the same goodwill now belong to their respective lists of brands to avoid.

Keep customers informed

As a way of keeping customers included and nudging them with a reminder that they still exist, brands should keep customers up to date. Whether it’s updating them about new products or announcing a charitable scheme, customers will appreciate the heads up. And since they’re online more than usual anyway at the moment, they might even feel more inclined to share it with their network.

Don’t stop there

Here are a few more tried and tested ways brands and online communities can boost engagement (whether or not there’s a pandemic):

Offer value

People will engage with truly valuable content. This might be through blogs, video, images, livestreams, and so on. Whatever form it comes in, it needs to inspire, entertain and inform.

Take a personalized approach

People thought chatbots would revolutionize customer service. Those people were wrong. Customers still need the personal touch. Brands still need to make them feel valued and listened to—they must be responsive to their community’s questions and comments

Help customers to help others

Step 2 can lead to step 3. Brands want their customers to contribute too. Customers can sometimes take the role of ad hoc customer service representatives and marketeers, if they’re treated well in the first place.

Reaffirm your mission

Customers should be reminded of why brands exist. What are they trying to achieve? What problem do they solve? What is their mission? Customers need to feel the excitement they felt the first time they came across a brand.

Be transparent

Customers respect honesty and transparency, even when things aren’t going so well, When brands communicate openly and trust customers’ perspectives, they’ll win trust and strengthen loyalty.

Stay consistent

Remaining consistent is key to building brand loyalty. If a brand is consistent with what it provides, it’ll become ingrained in customers’ minds and loyalty will become second nature.

Conclusion

It’s vital that brands maintain their customers’ engagement, and it’s at times like these that businesses experiment with new ways of delivering services and satisfying customers. That’s really exciting and let’s hope it sets a trend for the future too.

By Benjamin Vaughan

musician, I had my own community of fans and followers. What I didn’t have was my own space to grow and manage that community in the way that worked for me. So, I set out to create that space, and in doing so, found a lot of other community managers with the same problem as me. Health and wellness coaches, film stars, YouTubers, politicians and celebrity chefs were all looking for a solution to the same problem. Disciple is a community media platform that, unlike Facebook or a website, empowers community hosts to build, manage and control their own private, social apps. Our platform gives communities their own mobile meeting spaces to gather and interact in the ways that work for them.

Sourced from Forbes

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“People don’t leave jobs; they leave managers.”

What makes you happy at work? Maybe you have a great boss who gives you the freedom to be creative, rewards you for going the extra mile, and helps you to reach your career goals.

Maybe you have none of the above and are updating your résumé as we speak.

It’s pretty incredible how often you hear managers complaining about their best employees leaving, and they really do have something to complain about—few things are as costly and disruptive as good people walking out the door.

But managers tend to blame their turnover problems on everything under the sun while ignoring the crux of the matter: people don’t leave jobs; they leave managers.

Bad management does not discriminate based on salary or job title. A Fortune 500 executive team can experience more dissatisfaction and turnover than the baristas at a local coffee shop. The more demanding your job is and the less control you have over what you do, the more likely you are to suffer. A study by the American Psychological Association found that people whose work meets both these criteria are more likely to experience exhaustion, poor sleep, anxiety, and depression.

The sad thing is that this suffering can easily be avoided. All that’s required is a new perspective and some extra effort on the manager’s part to give employees autonomy and make their work feel less demanding. To get there, managers must understand what they’re doing to kill morale. The following practices are the worst offenders, and they must be abolished if you’re going to hang on to good employees.

Overworking people

Nothing burns good employees out quite like overworking them. It’s so tempting to work the best people hard that managers frequently fall into this trap. Overworking good employees is perplexing for them as it makes them feel as if they’re being punished for their great performance. Overworking employees is also counterproductive. New research from Stanford showed that productivity per hour declines sharply when the workweek exceeds 50 hours, and productivity drops off so much after 55 hours that you don’t get anything out of working more. Talented employees will take on a bigger workload, but they won’t stay if their job suffocates them in the process. Raises, promotions, and title-changes are all acceptable ways to increase workload. If managers simply increase workload because people are talented, without changing a thing, these employees will seek another job that gives them what they deserve.

Holding people back

As an employee, you want to bring value to your job, and you do so with a unique set of skills and experience. So how is it that you can do your job so well that you become replaceable? This happens when managers sacrifice your upward mobility for their best interests. If you’re looking for your next career opportunity, and your boss is unwilling to let you move up the ladder, your enthusiasm is bound to wane. Taking away opportunities for advancement is a serious morale killer.

Management may have a beginning, but it certainly has no end. When blessed with a talented employee, it’s the manager’s job to keep finding areas in which they can improve to expand their skill set and further their career. The most talented employees want feedback—more so than the less talented ones—and it’s a manager’s job to keep it coming. Otherwise, people grow bored and complacent.

Playing the blame game

A boss who is too proud to admit a mistake or who singles out individuals in front of the group creates a culture that is riddled with fear and anxiety. It’s impossible to bring your best to your work when you’re walking on eggshells. Instead of pointing fingers when something goes wrong, good managers work collaboratively with their team and focus on solutions. They pull people aside to discuss slip-ups instead of publicly shaming them, and they’re willing to accept responsibility for mistakes made under their leadership.

Frequent threats of firing

Some managers use threats of termination to keep you in line and to scare you into performing better. This is a lazy and shortsighted way of motivating people. People who feel disposable are quick to find another job where they’ll be valued and will receive the respect that they deserve.

Not letting people pursue their passions

Talented employees are passionate. Providing opportunities for them to pursue their passions improves their productivity and job satisfaction, but many managers want people to work within a little box. These managers fear that productivity will decline if they let people expand their focus and pursue their passions. This fear is unfounded. Studies have shown that people who are able to pursue their passions at work experience flow, a euphoric state of mind that is five times more productive than the norm.

Withholding praise

It’s easy to underestimate the power of a pat on the back, especially with top performers who are intrinsically motivated. Everyone likes kudos, none more so than those who work hard and give their all. Managers need to communicate with their people to find out what makes them feel good (for some, it’s a raise; for others, it’s public recognition) and then to reward them for a job well done. With top performers, this will happen often if you’re doing it right. This doesn’t mean that managers need to praise people for showing up on time or working an eight-hour day—these things are the price of entry—but a boss who does not give praise to dedicated employees erodes their commitment to the job.

Bringing It All Together

If managers want their best people to stay, they need to think carefully about how they treat them. While good employees are as tough as nails, their talent gives them an abundance of options. Managers need to make people want to work for them.

This post was originally published by Dr. Travis Bradberry on LinkedIn.

By 

Sourced from Next Big Idea Club

By Rikke Friis Dam and Teo Yu Siang

Design Thinking is not an exclusive property of designers—all great innovators in literature, art, music, science, engineering, and business have practiced it. So, why call it Design Thinking? What’s special about Design Thinking is that designers’ work processes can help us systematically extract, teach, learn and apply these human-centered techniques to solve problems in a creative and innovative way – in our designs, in our businesses, in our countries, in our lives.

Some of the world’s leading brands, such as Apple, Google, Samsung and GE, have rapidly adopted the Design Thinking approach, and Design Thinking is being taught at leading universities around the world, including d.school, Stanford, Harvard and MIT. But do you know what Design Thinking is? And why it’s so popular? Here, we’ll cut to the chase and tell you what it is and why it’s so in demand.

What is Design Thinking?

Design Thinking is an iterative process in which we seek to understand the user, challenge assumptions, and redefine problems in an attempt to identify alternative strategies and solutions that might not be instantly apparent with our initial level of understanding. At the same time, Design Thinking provides a solution-based approach to solving problems. It is a way of thinking and working as well as a collection of hands-on methods.

Design Thinking revolves around a deep interest in developing an understanding of the people for whom we’re designing the products or services. It helps us observe and develop empathy with the target user. Design Thinking helps us in the process of questioning: questioning the problem, questioning the assumptions, and questioning the implications. Design Thinking is extremely useful in tackling problems that are ill-defined or unknown, by re-framing the problem in human-centric ways, creating many ideas in brainstorming sessions, and adopting a hands-on approach in prototyping and testing. Design Thinking also involves ongoing experimentation: sketching, prototyping, testing, and trying out concepts and ideas.

Design Thinking’s Phases

There are many variants of the Design Thinking process in use today, and they have from three to seven phases, stages, or modes. However, all variants of Design Thinking are very similar. All variants of Design Thinking embody the same principles, which were first described by Nobel Prize laureate Herbert Simon in The Sciences of the Artificial in 1969. Here, we will focus on the five-phase model proposed by the Hasso-Plattner Institute of Design at Stanford, which is also known as d.school. We’ve chosen d.school’s approach because they’re at the forefront of applying and teaching Design Thinking. The five phases of Design Thinking, according to d.school, are as follows:

  • Empathise – with your users
  • Define – your users’ needs, their problem, and your insights
  • Ideate – by challenging assumptions and creating ideas for innovative solutions
  • Prototype – to start creating solutions
  • Test – solutions

It is important to note that the five phases, stages, or modes are not always sequential. They do not have to follow any specific order and can often occur in parallel and repeat iteratively. Given that, you should not understand the phases as a hierarchical or step-by-step process. Instead, you should look at it as an overview of the modes or phases that contribute to an innovative project, rather than sequential steps.

Author/Copyright holder: Pixabay. Copyright terms and licence: Free to Use

To help you understand Design Thinking, we have broken the process into five phases or modes, which are: 1. Empathise, 2. Define, 3. Ideate, 4. Prototype, and 5. Test. What’s special about Design Thinking is that designers’ work processes can help us systematically extract, teach, learn, and apply these human-centered techniques to solve problems in a creative and innovative way – in our designs, in our businesses, in our nations (and eventually, if things go really well, beyond), in our lives. Nevertheless, a great artist like Auguste Rodin, who created this famous sculpture called “The Thinker” and originally “Le Penseur”, would most likely have used the very same innovative processes in his artwork. In the same way, all great innovators in literature, art, music, science, engineering and business have practiced it and still practice it.

The Problem with Ingrained Patterns of Thinking

Sometimes, the easiest way to understand something intangible, such as Design Thinking, is by understanding what it is not.

Humans naturally develop patterns of thinking modeled on repetitive activities and commonly accessed knowledge. These assist us in quickly applying the same actions and knowledge in similar or familiar situations, but they also have the potential to prevent us from quickly and easily accessing or developing new ways of seeing, understanding and solving problems. These patterns of thinking are often referred to as schemas, which are organized sets of information and relationships between things, actions and thoughts that are stimulated and initiated in the human mind when we encounter some environmental stimuli. A single schema can contain a vast amount of information. For example, we have a schema for dogs which encompasses the presence of four legs, fur, sharp teeth, a tail, paws, and a number of other perceptible characteristics. When the environmental stimuli match this schema — even when there is a tenuous link or only a few of the characteristics are present — the same pattern of thought is brought into the mind. As these schemas are stimulated automatically, this can obstruct a more fitting impression of the situation or prevent us from seeing a problem in a way that will enable a new problem-solving strategy. Innovative problem solving is also known as “thinking outside of the box”.

An Example of Problem solving: The Encumbered Vs. The Fresh Mind

Thinking outside of the box can provide an innovative solution to a sticky problem. However, thinking outside of the box can be a real challenge as we naturally develop patterns of thinking that are modeled on the repetitive activities and commonly accessed knowledge we surround ourselves with.

Some years ago, an incident occurred where a truck driver tried to pass under a low bridge. But he failed, and the truck was lodged firmly under the bridge. The driver was unable to continue driving through or reverse out.

The story goes that as the truck became stuck, it caused massive traffic problems, which resulted in emergency personnel, engineers, firefighters and truck drivers gathering to devise and negotiate various solutions for dislodging the trapped vehicle.

Emergency workers were debating whether to dismantle parts of the truck or chip away at parts of the bridge. Each spoke of a solution which fitted within his or her respective level of expertise.

A boy walking by and witnessing the intense debate looked at the truck, at the bridge, then looked at the road and said nonchalantly, “Why not just let the air out of the tires?” to the absolute amazement of all the specialists and experts trying to unpick the problem.

When the solution was tested, the truck was able to drive free with ease, having suffered only the damage caused by its initial attempt to pass underneath the bridge. The story symbolizes the struggles we face where oftentimes the most obvious solutions are the ones hardest to come by because of the self-imposed constraints we work within.

Copyright holder: Wystan, Flickr. Copyright terms and license: CC BY 2.0

It’s often difficult for us humans to challenge our assumptions and everyday knowledge, because we rely on building patterns of thinking in order to not have to learn everything from scratch every time. We rely on doing everyday processes more or less unconsciously — for example, when we get up in the morning, eat, walk, and read — but also when we assess challenges at work and in our private lives. In particular, experts and specialists rely on their solid thought patterns, and it can be very challenging and difficult for experts to start questioning their knowledge.

The Power of Storytelling

Why did we tell you this story? Telling stories can help us inspire opportunities, ideas and solutions. Stories are framed around real people and their lives. Stories are important because they are accounts of specific events, not general statements. They provide us with concrete details that help us imagine solutions to particular problems. While we’re at it, please watch this 1-minute video to help you get started understanding what Design Thinking is about.

Design Thinking is often referred to as ‘outside the box’ thinking. This child shows us why it’s important to challenge our assumptions and find new ways to solve our problems.

Design Thinking or ‘Outside the Box’ Thinking

Design Thinking is often referred to as ‘outside the box’ thinking, as designers are attempting to develop new ways of thinking that do not abide by the dominant or more common problem-solving methods.

At the heart of Design Thinking is the intention to improve products by analyzing and understanding how users interact with products and investigating the conditions in which they operate. At the heart of Design Thinking lies also the interest and ability to ask significant questions and challenging assumptions. One element of outside the box thinking is to falsify previous assumptions – i.e., to make it possible to prove whether they are valid or not. Once we have questioned and investigated the conditions of a problem, the solution-generation process will help us produce ideas that reflect the genuine constraints and facets of that particular problem. Design Thinking offers us a means of digging that bit deeper; it helps us to do the right kind of research and to prototype and test our products and services so as to uncover new ways of improving the product, service or design.

Grand Old Man of User Experience, Don Norman, who also coined the very term User Experience, explains what Design Thinking is and what’s so special about it:

“…the more I pondered the nature of design and reflected on my recent encounters with engineers, business people and others who blindly solved the problems they thought they were facing without question or further study, I realized that these people could benefit from a good dose of design thinking. Designers have developed a number of techniques to avoid being captured by too facile a solution. They take the original problem as a suggestion, not as a final statement, then think broadly about what the real issues underlying this problem statement might really be (for example by using the “Five Whys” approach to get at root causes). Most important of all, is that the process is iterative and expansive. Designers resist the temptation to jump immediately to a solution to the stated problem. Instead, they first spend time determining what the basic, fundamental (root) issue is that needs to be addressed. They don’t try to search for a solution until they have determined the real problem, and even then, instead of solving that problem, they stop to consider a wide range of potential solutions. Only then will they finally converge upon their proposal. This process is called “Design Thinking.”

– Don Norman, Rethinking Design Thinking

Design Thinking is an Essential Tool – and A Third Way

The design process often involves a number of different groups of people in different departments; for this reason, developing, categorizing, and organizing ideas and problem solutions can be difficult. One way of keeping a design project on track and organizing the core ideas is using a Design Thinking approach.

Tim Brown, CEO of the celebrated innovation and design firm IDEO, shows in his successful book Change by Design that Design Thinking is firmly based on generating a holistic and empathic understanding of the problems that people face, and that it involves ambiguous or inherently subjective concepts such as emotions, needs, motivations, and drivers of behaviors. This contrasts with a solely scientific approach, where there’s more of a distance in the process of understanding and testing the user’s needs and emotions — e.g., via quantitative research. Tim Brown sums up that Design Thinking is a third way: Design Thinking is essentially a problem-solving approach, crystalized in the field of design, which combines a holistic user-centered perspective with rational and analytical research with the goal of creating innovative solutions.

“Design thinking taps into capacities we all have but that are overlooked by more conventional problem-solving practices. It is not only human-centered; it is deeply human in and of itself. Design thinking relies on our ability to be intuitive, to recognize patterns, to construct ideas that have emotional meaning as well as functionality, to express ourselves in media other than words or symbols. Nobody wants to run a business based on feeling, intuition, and inspiration, but an overreliance on the rational and the analytical can be just as dangerous. The integrated approach at the core of the design process suggests a ‘third way.’ “

– Tim Brown, Change by Design, Introduction

Science and Rationality in Design Thinking

Some of the scientific activities will include analyzing how users interact with products and investigating the conditions in which they operate: researching user needs, pooling experience from previous projects, considering present and future conditions specific to the product, testing the parameters of the problem, and testing the practical application of alternative problem solutions. Unlike a solely scientific approach, where the majority of known qualities, characteristics, etc. of the problem are tested so as to arrive at a problem solution, Design Thinking investigations include ambiguous elements of the problem to reveal previously unknown parameters and uncover alternative strategies.

After arriving at a number of potential problem solutions, the selection process is underpinned by rationality. Designers are encouraged to analyze and falsify these problem solutions so that they can arrive at the best available option for each problem or obstacle identified during each phase of the design process.

With this in mind, it may be more correct to say that Design Thinking is not about thinking outside of the box, but on its edge, its corner, its flap, and under its bar code, as Clint Runge put it.

Copyright holder: Interaction Design Foundation. Copyright terms and license: CC BY-NC-SA 3.0

Clint Runge is Founder and Managing Director of Archrival, a distinguished youth marketing agency, and adjunct Professor at the University of Nebraska-Lincoln.

Generating Creative Ideas and Solutions by Holistically Understanding Humans

With a solid foundation in science and rationality, Design Thinking seeks to generate a holistic and empathetic understanding of the problems that people face. Design thinking tries to empathize with human beings. That involves ambiguous or inherently subjective concepts such as emotions, needs, motivations, and drivers of behaviors. The nature of generating ideas and solutions in Design Thinking means this approach is typically more sensitive to and interested in the context in which users operate and the problems and obstacles they might face when interacting with a product. The creative element of Design Thinking is found in the methods used to generate problem solutions and insights into the practices, actions, and thoughts of real users.

Design Thinking is an Iterative and Non-linear Process

Copyright holder: Interaction Design Foundation. Copyright terms and license: CC BY-NC-SA 3.0

Design Thinking is an iterative and non-linear process. This simply means that the design team continuously use their results to review, question and improve their initial assumptions, understandings and results. Results from the final stage of the initial work process inform our understanding of the problem, help us determine the parameters of the problem, enable us to redefine the problem, and, perhaps most importantly, provide us with new insights so we can see any alternative solutions that might not have been available with our previous level of understanding.

Design Thinking is for Everybody

Tim Brown also emphasizes that Design Thinking techniques and strategies of design belong at every level of a business. Design thinking is not only for designers but also for creative employees, freelancers, and leaders who seek to infuse design thinking into every level of an organization, product or service in order to drive new alternatives for business and society.

“Design thinking begins with skills designers have learned over many decades in their quest to match human needs with available technical resources within the practical constraints of business. By integrating what is desirable from a human point of view with what is technologically feasible and economically viable, designers have been able to create the products we enjoy today. Design thinking takes the next step, which is to put these tools into the hands of people who may have never thought of themselves as designers and apply them to a vastly greater range of problems.”

– Tim Brown, Change by Design, Introduction

Copyright holder: Daniel Lobo, Flickr. Copyright terms and license: CC BY 2.0

Design Thinking is essentially a problem-solving approach, crystalized in the field of design, which combines a user-centered perspective with rational and analytical research with the goal of creating innovative solutions.

The Take Away

Design Thinking is essentially a problem-solving approach specific to design, which involves assessing known aspects of a problem and identifying the more ambiguous or peripheral factors that contribute to the conditions of a problem. This contrasts with a more scientific approach where the concrete and known aspects are tested in order to arrive at a solution. Design Thinking is an iterative process in which knowledge is constantly being questioned and acquired so it can help us redefine a problem in an attempt to identify alternative strategies and solutions that might not be instantly apparent with our initial level of understanding. Design Thinking is often referred to as ‘outside the box thinking’, as designers are attempting to develop new ways of thinking that do not abide by the dominant or more common problem-solving methods – just like artists do. At the heart of Design Thinking is the intention to improve products by analyzing how users interact with them and investigating the conditions in which they operate. Design Thinking offers us a means of digging that bit deeper to uncover ways of improving user experiences.

“The ‘Design Thinking’ label is not a myth. It is a description of the application of well-tried design process to new challenges and opportunities, used by people from both design and non-design backgrounds. I welcome the recognition of the term and hope that its use continues to expand and be more universally understood, so that eventually every leader knows how to use design and design thinking for innovation and better results.”

– Bill Moggridge, co-founder of IDEO, in Design Thinking: Dear Don

References & Where to Learn More

Hero Image: Copyright holder: Interaction Design Foundation. Copyright terms and license: CC BY-NC-SA 3.0

Course: Design Thinking – The Beginner’s Guide:
https://www.interaction-design.org/courses/design-thinking-the-beginner-s-guide

Don Norman. “Rethinking Design Thinking”, 2013:
http://www.core77.com/posts/24579/rethinking-design-thinking-24579

Tim Brown, Change by Design: How Design Thinking Transforms Organizations and Inspires Innovation Introduction, 2009

Bill Moggridge, “Design Thinking: Dear Don”, 2010:
http://www.core77.com/posts/17042/design-thinking-dear-don-17042

By Rikke Friis Dam and Teo Yu Siang

Sourced from International Design Foundation

By Michael Thompson,

I’ve sent more than 200 cold emails over the course of my career and only been rejected 3 times. Here are 6 rules I follow to get the attention of people I admire.

  • Michael Thompson is a career and communication coach who helps business executives and entrepreneurs be successful by making the right connections.
  • He says he’s reached out to more than 200 people via cold email throughout his career with great success — only three people declined to meet with him.
  • Thompson recommends first reaching out to friends of friends, then making sure your email has a clear purpose and thinking about what you can offer before asking for any favours.

I’ve never found a “hack” for success more effective than this one, a piece of advice I used to hear all the time from my dad: The best way to get what you want is by getting to know the people who already have it.

It’s advice I’ve relied on throughout my career. Over the years, I’ve reached out to well over 200 people doing things I thought were cool, requesting a chance to speak with them. Only three people have declined my invitation to talk. (Well, technically four — Oprah never got back to me.) This practice of cold-emailing has helped me build a professional tribe that has become a place for support, connection, and more opportunities than I ever thought possible.

At a time when everyone is dealing with a lot, the ability to craft an email that not only gets read but gets a positive response is an increasingly valuable skill. Here’s what I’ve learned about how to do it well.

Don’t begin by trying to call Oprah

If I learned anything from my experience of reaching out to strangers, it’s that the world is full of incredibly talented people who can help you grow.

You don’t need Oprah, Bill Gates, Tim Ferriss, or any other high-profile figure who will definitely never see your request to “put some time on their calendar.” Start smart by identifying friends of friends who are doing cool things.

Don’t limit your list to people who are in your exact field, either. Breakthroughs often come when you surround yourself with people who view things through a different lens.

Your subject line matters

After you’ve made a list of people to reach out to, it’s time to craft your email. The subject line “Friend of [mutual friend’s name]” is a solid option, but it’s not the only one.

In one experiment, the entrepreneur and author Shane Snow found that simple subject lines like “Quick question” net strong results when you’re reaching out to new people. (Marketers, however, are starting to use this subject line more often, so its effectiveness may be waning.)

For me personally, the subject line “Thank you” has consistently been the most effective in starting conversations. (We’ll talk about how you should thank the person in your email in a bit.) People don’t write thank-you notes as much as they say they do. This simple act will help you to stand out without showing off.

Know your ‘North Star’

When I first started becoming more serious about my writing, the speaker and entrepreneur Conor Neill gave me this advice: When drafting an article, write at the top of the page: “After reading this, I want the reader to ________?” He told me to use this question as my “North Star” to guide my writing.

You can apply this same strategy to writing your email. Have one clear agenda, even if it’s simply to try to get them on a call so you can learn more about them. Make sure your goal is clear so the message you send supports exactly what you’re looking to accomplish.

Embrace the ‘Rule of 7’

One of the oldest principles in marketing is the “Rule of 7,” which states that a prospective customer needs to be exposed to an advertiser’s message seven times before they will take action.

This doesn’t mean that if you send an email and don’t get a response you should follow up six more times (please don’t do that). But it does mean that a person will be more open to an email from you if they’re somewhat familiar with your name.

Play with ways to get your name in front of them before making that initial direct contact. Sharing their work on social media is one way to do this. If you have a blog, you can write a post that mentions how their work has positively affected you and then tag them on Twitter, thanking them for the inspiration. Get creative. Just don’t do too many things at once, too close together, or you risk turning them off.

Show them what their work has helped you achieve

Successful people get a lot of fan mail and requests to chat. To help your email stand out, make it clear that you’ve been following their work for a while (instead of just gushing over the latest thing that went viral) and that it has impacted you in a specific way.

You can use the formula: “Thanks to your work doing X, I’ve been able to accomplish Y.”

I like to pull out a small detail from their work that has made my life easier. For instance, I’ve always admired the energy and sense of humor that Noah Kagan, the founder of AppSumo, brings to his work. But instead of giving him this generic message, I recently let him know I was writing an article about something he had mentioned in passing on a podcast — his “Holy S–t Jar” — and asked him how I could best link to his work. We didn’t automatically become best friends after that, but we do have plans to talk.

Before asking for a favour, think of how you can help them

To really forge a connection, it’s important to let the person know that building a relationship with you would be mutually beneficial. Maybe that person is writing a book and you can be a part of their launch team. Or perhaps they’re starting a business and your work as a designer can help them to create a more persuasive website. One of the best habits you can form is to ask yourself every day how you can make the lives of the people around you better.

This advice isn’t foolproof — some people are busy, while others may not be prioritizing meeting new people at the moment. But keep at it. When you grow your network, you expand your world.

By Michael Thompson

Sourced from Business Insider

By Shruti Kaushik,

With reduced cash flow, people have optimized their preferences in accordance with their immediate need which applies to both product and service sectors.

The Wuhan virus, or the bat virus, induced a mass annihilation that just shredded the world into pieces. The world before December 2019 is a mesmerizing history and the world now, i.e. few days in the seventh month of 2020, is a bitter reality. But all is not lost, the global economy is learning to adapt to this ‘new normal’; healthcare systems are learning from their mistakes, businesses have entered a digital disruption phase, and the greatest luxury known today has become ‘survival’.

In short, we are now witnessing a new global revolution, a pushed one, but a necessary one. Why do I say necessary? Because the relevance of businesses is now directly attached to changed consumer behavior. With reduced cash flow, people have optimized their preferences in accordance with their immediate need which applies to both product and service sectors.

The direct impact of this shift is felt mainly on marketing campaigns. Many companies have trashed their branding strategies, which is wise but is a horrible mistake. Businesses right now need ‘readjustment’ of their marketing and branding strategies. They need to find a more viable way to address this changed consumer behavior.

Re-analyzing your market plans not in terms of budget, but in terms of opportunity

They say opportunity always lies in the ‘untimely distress’ that life throws at you, which is painfully true. The pandemic did pause the whole world, but it didn’t stop it. The biggest revision I did in branding strategies this year for my clients was introducing social selling. Instead of going all terminator in marketing, I just picked the organic ones, which helped my clients gain five times their target audience. So, here’s are my two cents from my learnings.

Migrate from Facebook ads to Linkedin organic selling: Social distancing is not applicable on social media channels, right? Facebook is a great tool, it creates curiosity with its paid ads but LinkedIn marketing does that for you for ‘free’. LinkedIn is a perfect place to create a new demand because the audience today there is five times more than it was in December last year. Do soft selling through content and invest time in creating a community of loyal followers that you can later monetize on.

Communicate through client/customer stories: Your experience is your greatest asset now. You have to create new demand for your old services because the whole ‘buying cycle’ has changed gradually. The best inbound leads that I got for my clients were through ‘sharing successful client/customer stories’. Your narrative should not reflect a sales pitch but should indicate your expertise in the simplest way possible.

Showing empathy to your audience during these times: Even if your customers are not buying right now, you can send a ‘hope you are safe during these times’ email. The whole world is in a crisis together, and when you send this email, there is an instant connection with the customer. They might not buy from you immediately, but they will remember you which can later become a lead.

Create a series of podcasts: Hop on a podcast with your client, and talk about how you helped him, and how has his business is recovering during these times. But, but, don’t post or share the whole show. Cut out a 45 minutes podcast session into 9 videos of 5 minutes length each. This means you can address 9 questions or 9 problems for your audience. Circulate this content. Instagram and LinkedIn are super for sharing podcast sessions.

Revive your email list: The biggest mistake marketers are doing now is creating a new email list. Your email list is your timeless asset. Share your case study or an article of 200 words on how you are helping your clients/customers during this time, and share it with your email list. You never know, there could be a goldmine buried in that old email database.

Publish interviews: Interviews are the easiest ways to grab attention, and you don’t have to pay for them. Shortlist websites of your niche that enjoys more than 1 million traffic a month, and then write to the editor. A concept story, a feature, a quote on an opinion piece, or an interview, can work wonders for you and your client both.

This is the time of a digital revolution that has been pulled sooner than it was anticipated. Opportunities have multiped online. Technological sector is booming right now, and branding is more important than ever. All that needs to be done is ‘retelling your company’s story” on the right platforms.

Feature Image Credit: Pixabay

By Shruti Kaushik,

Sourced from Entrepreneur

By 

Many brands put all their effort into producing high-quality content but fail to have a content distribution strategy in place to maximize its ROI. In fact, the Content Marketing Institute found that only 41% of B2B marketers have a documented content strategy.

We asked SEO and content marketing experts why content distribution is essential and how best to do it right.

Why Content Distribution Is Important

“A content distribution strategy is important because you want to make sure that you amplify the reach of your content once it’s published,” said Malte Scholz, CEO and co-founder of Airfocus. Brands spend a lot of resources — both time and money — creating quality content that’s relevant for their audience, so it only makes sense to ensure they’ll actually be able to consume it. “Besides using the right keywords and writing about the right topics,” he continued “you also need to actively distribute your content.”

“If you’re only using one medium for your content, you essentially are willingly cutting out a huge potential audience,” said Anastasia Lliou, marketing manager at Rain.

For example, it’s a good idea for blog content to be repurposed as social media posts, videos on YouTube or Vimeo, podcast topics, and any other format that makes sense. “You may not be able to add to ALL platforms right away,” she continued, “but it’s important to work it into your grander content strategy.” That means creating a content distribution strategy to maximize the ROI of your content creation efforts.

Content Distribution Best Practices

Start With Your Blog

When publishing written content, the brand’s website is often the best place to start. “If your site is the FIRST place that a piece of content is published,” Lliou explained, “SEO traffic is more likely to land there.”

After a couple of months, it makes sense to add the content on medium or other sites that are safe to publish on. “Always remember to share your content on all possible social media platforms and in your email newsletter, if you have one,” Lliou added. This will help drive more traffic back to the company website and expand the brand’s reach even further.

Tailor Content to the Platform

“The biggest mistake you can make is posting the same piece of content on a variety of channels without making any changes at all,” said Olga Mykhoparkina, CMO at Better Proposals.

Each social media, video hosting, or other platform requires a different content format and style that appeals to its users. “For example,” she said, “LinkedIn articles should be shorter than blog posts and Instagram quotes need to be super short.”

By tailoring a piece of content to each platform, brands can optimize their content creation efforts to achieve greater reach and improved engagement. “There are lots of different ways to maximize the effects of a single piece of content,” Mykhoparkina added.

Think Long Term

For Sarah Franklin, co-founder of Blue Tree AI, planning long term is a must. “Traffic does not build up instantaneously,” she explained, “so set smaller goals and plan for months of campaigning before you expect to see solid results.”

Whether it takes three months or a year, you should continue to track progress and remain patient. “Social media and sharing are the number one way content is distributed,” she added, “so keep in mind your audience when creating.” That way, they’ll continue to spread the word about your content and you’ll see greater long-term results.

Don’t Overdo It

Lliou recommends that brands don’t try to reach too many people at once. It’s a good idea to eventually share your content on as many platforms as possible, but she said, you “still have to pay attention to your audience.”

For example, if you’re targeting Gen Z then TikTok and Instagram may be best, but Facebook may be a better place to start when appealing to an older demographic. “If you try to reach the entire global population,” she explained, “you aren’t going to get in front of the right people.”

Final Thoughts

“Companies and individuals are creating new data every moment,” Franklin concluded, “with a content distribution strategy, you can make your content stand out from the rest.” Creating a content distribution strategy ensures that your content reaches its target audience and drives business results.

Feature Image Credit: SHUTTERSTOCK

By 

Sourced from CMS WiRE