Article | April 6, 2021
Inbound marketing has become a vital part of the manufacturing industry, especially after the pandemic. Marketers want to get more business, more high-quality leads, increase revenue, and expand it into new markets. A lot of opportunities are arising for manufacturers to embrace its effectiveness—especially online.
Unlike other industries, the manufacturing industry is not safe from the continual pendulum swing of updates, new platform creation, and changing buyer preferences. Manufacturing marketing has its own blend of deliverables and initiatives that can spell the success of your business.
Until now, you must have realized that your traditional marketing tactics are obsolete and would have planned to get the inbound marketing program off the ground.
Here comes the critical part—understanding how to implement inbound marketing for your business to generate high revenue. With the help of these five steps, you can stay ahead of your competition.
Before you approach the steps, first you need to:
Identify your Customers’ Pain Points
Understanding what frustrates your buyers gives an insight into how to answer the queries they look for. To determine what queries your buyers may have, you can:
Interview your customers: Your customers are your leading source of information. Ask them what solutions they are searching for. What content did they read to solve their solutions? What information, insights, FAQs, or product details can help them? This way, create content that answers all of these questions.
Talk to your sales representative: Your sales team is on the front line with your buyers/customers. They very well know what content gaps can be filled. Identify the gaps and work accordingly.
These considerations will help you to stay updated in the competitive landscape of manufacturing marketing.
Now, start your inbound marketing program by following these steps.
When planning inbound marketing, your website becomes the center of the universe. It’s where all your marketing efforts, like great content for your prospective buyers come in. After all, this is how you’re going to start ranking on search engines and driving in leads.
Before you get to this part, you’ll need to do a basic audit to ensure your website is in tandem with your targeted audiences’ expectations.
The website interface is the focal point that helps buyers to interact. This will help them to interact with your business. And if their experience is negative, they’ll probably never bother to read further. To avoid such circumstances, here are a few critical web design tips you should know and implement:
A Clean Look
Keep your website simple and embrace spaces to make it more appealing to the eyes. Too many visuals and color combinations will make it hard to find the information they’re searching for. Creating a simple yet appealing website neither costs your pockets nor makes it hard for your audiences to contact you.
Tablets and smartphones have overtaken desktop computers. So, creating a mobile-friendly design will ensure your website looks impressive on any screen size. Your audience does not feel lost, and it helps to scroll information from your website.
Move from HTTP to HTTPS
With massive data breaches becoming common in the internet world, your audience will be more concerned with security and privacy than ever. Converting your website from HTTP to HTTPS will protect their information. Also, it will help you get ranked on the Google search engine.
Create Informative Content
Content is the backbone of inbound marketing efforts. It’s how you can build a strong audience base for your business and convert them into leads.
To market your business effectively, you need to provide informative yet relevant content at every stage. Think of creating a blog to inform rather than a sales tool. With this notion, your content will rank and stay on top of the mind throughout your customers’ buyer journey. This means your industry-related content has to be interesting and attract visitors to become your leads.
To understand how your content needs to work, list these funnels of content ideas and try implementing them.
Content Ideas: Top Funnel
Include content in these ways:
Social media posts
Videos on factory products tour
Content Ideas: Middle Funnel
While the top of the content funnel is the widest, the middle of the funnel is often the deepest. It includes content type such as:
‘How to’ guides
Content Ideas: Bottom Funnel
The bottom funnel creates chances to close the deal and convert visitors/buyers into leads. This includes content ideas such as:
Call to action
So, in the marketing competition landscape, many manufacturers are busy updating their inbound marketing strategies like you. Many others have overhauled their business. While you have a lot on your end, inspire yourself to create that excellent piece of content now!
Invest in Marketing Technologies and Automation
One way to grow your business through inbound marketing is automating your marketing efforts. This way, you can devote more time focusing on the bigger picture. There are tons of tools online to help organize strategies, create content, schedule emails, campaigns and publish to your website. Use them!
Marketing technology usage can help your business to operate faster and more accurately. Here are some automation tools to use:
G Suite: Google’s products are becoming just ubiquitous with a bonus—everything is in the cloud today. You can find your work easily and access it from any device. Also, manage all marketing efforts from one place and collaborate globally in no time with clients.
Sales and Marketing CRM: Customer Relationship Management (CRM) software, like HubSpot CRM, gives you a quick view of your marketing funnel and sales channel. Not only does it enable transparency all across, but it gives you hours back in the day by starting different events and marketing flows automatically.
Email Marketing: Emails are the most effective marketing channels in terms of ROI. Email usage endures growing around 4% year-over-year. And has no signs of slowing down anytime soon. In this case, many emailing tools are available. Like HubSpot is well known for its CRM and inbound marketing software. It boasts exceptional deliverability for emails. With about 2,000 email sends/month, contact lists, a drag-and-drop email builder, and ready-made templates, you can start right away.
These are some examples to decide what's best for your industrial inbound marketing efforts. Get started today!
Keep Tracking your Marketing Efforts
You’re spending your time, energy, efforts, and resources on marketing to grow your business. So, it’s essential to track your marketing initiatives and see if it’s functioning as expected or not.
Here are some crucial aspects with which you can keep track of your marketing program:
Get an ROI measuring tool:For measurable goals, you’ll want to select KPIs to measure ROI. Some common ones include the cost per sale, per lead, overall marketing program, and overall customer relationship length. You can also set points for channel performance with campaign-specific KPIs, including email open rate or social media impressions.
Google Analytics:This is a free tool. It will help monitor your website's health by tracking site metrics such as page views, visits, and clicks. With this, you can easily set up customized reports to monitor specific metrics of interest for your campaigns.
Lastly, get a lead generation tool that tracks who is in-market for your services. How they’re interacting with your online presence and where they are in their solution journey.
Inbound Marketing Case Study: Get Inspired!
If you ask your competitors what their main goals are for their company, the answer would most likely be related to increasing sales and leads. Even if they mentioned other purposes, such as improving website performance and SEO or redesigning a website, the main objective would be to get more traffic. And it will lead to more sales.
For Corrugated Metals, Inc., these were the goals. This manufacturing company deals in roll formation. It manufactures products for the equipment, construction, transportation, and defense industries.
The company used inbound marketing strategies during the pandemic and found success with it, resulting in:
Increased quality leads
Increased sales revenue
More opportunities from the manufacturing industry for long term sales potential
Redesigned their website to bring design and UX (user experience) up to date and increase engagement
Maintained and increased SEO
Through the implementation of inbound marketing, the company saw a 198% hike in website traffic and an implausible 285% increase in leads. But that wasn’t all. The quality of leads radically improved by 321%.
Since they were able to identify and target long-term sales prospects through persona-based targeting and lead nurturing, they lined up a potential million dollar per year customer. This created a possibility of 20 years of recurring sales.
In a nutshell, using these inbound marketing tactics can bring high revenues to your business.
1) PLAN! Do as much research as you can. Know your industrial customers. Find what’s trending. Analyze what worked, what didn't work, and why. And start with these ways to boost marketing for your business.
2) CREATE! Use the information as the backbone to create a stellar inbound marketing plan. Be patient, and do one project at a time.
3) OPTIMIZE! There are ways to improve. And if you’re testing correctly — no industrial marketing strategy will ever fail.
In a recent 2020 Thomas Industrial Survey, there has been a 12% surge in website usage by manufacturers using inbound marketing campaigns to connect with more buyers and customers since the outbreak of COVID-19. Therefore, adjusting your manufacturing inbound marketing strategies today will perhaps help you win more business down the road.
Frequently Asked Questions
What manufacturers should follow to do inbound marketing?
Manufacturers implementing inbound marketing should follow some crucial aspects before they start. These attract customers—don’t interrupt them, measure all activities, nurture leads, do SEO and social media activities precisely.
What are the four stages manufacturing marketers should know about inbound marketing?
There are a lot of relatable things to do inbound marketing. But along the top four things, manufacturers must know to drive business growth are attract, convert, sell and create leads.
Does inbound marketing for manufacturing works?
Absolutely. Inbound marketing for manufacturers has been fruitful. If you are willing to include it in your business, you will reap its benefits and see your business growing with time. Creating a proper strategy is foremost.
"name": "WHAT MANUFACTURERS SHOULD FOLLOW TO DO INBOUND MARKETING?",
"text": "Manufacturers implementing inbound marketing should follow some crucial aspects before they start. These attract customers—don’t interrupt them, measure all activities, nurture leads, do SEO and social media activities precisely."
"name": "WHAT ARE THE FOUR STAGES MANUFACTURING MARKETERS SHOULD KNOW ABOUT INBOUND MARKETING?",
"text": "There are a lot of relatable things to do inbound marketing. But along the top four things, manufacturers must know to drive business growth are attract, convert, sell and create leads."
"name": "DOES INBOUND MARKETING FOR MANUFACTURING WORKS?",
"text": "Absolutely. Inbound marketing for manufacturers has been fruitful. If you are willing to include it in your business, you will reap its benefits and see your business growing with time. Creating a proper strategy is foremost."
Article | December 2, 2021
The world of manufacturing is continuously evolving in the 21st century, and companies have to combat competition, altering consumer demands, and unexpected events to be able to deliver in today’s experience. Global connectivity, innovation, and disruption are all reshaping the manufacturing industry, but a world-class business platform can help companies transform operations digitally to keep up with an evermore digitized world. The factory of the future will allow manufacturers to enhance production through the convergence of information technology with factory operations, combining the effectiveness of the virtual world with the materiality of the physical world to lower costs, increase flexibility, and better meet customer expectations.
The factory of the future functions on four dimensions: resource planning, manufacturing planning, planning and optimization, and manufacturing operations. Resource planning involves defining and simpulating the plant layout, flow, assets, and resources needed to efficiently develop products in a safe environment. Normal production change requests can be quickly validated by using 3D virtual experience twin technology. This technology could also quickly pivot operations to alternative products in the case of disruptive events. Manufacturing planning enriches the resource and product definition by defining and validating a process plan and creating work instructions that meet production goals.
Digital visualization of resource and process changes can also help speed up time-to-production in any scenario no matter the location by leveraging the cloud. Planning and optimization of supply chains across planning horizons will help manufacturers gain visibility with planning and scheduling by having the ability to model, simulate, and optimize alternative supply and production plans to reduce disruptions. Lastly, manufacturing operations management can transform global production operations to attain and maintain operational excellence. Manufacturers can create, manage, and govern operational processes on a global scale while maintaining operational integrity to meet altering demands.
For the factory of the future to come about successfully, there needs to be connected technology and shared data. Technology has to be adaptable with robotics and equipment that can be reconstructed to house changes and new products. An AI-powered product demand simulation is necessary to maintain agility and boost productivity. A versatile, cross-functional workforce with the ability to explicate data and function well in AR environments is also required along with smart factory technology such as wearable sensors and virtual prototypes. Through all this, the factory of the future can connect technologies across the product life cycle while optimizing the workforce and increasing sustainability.
Although achieving the factory of the future has several benefits, creating a feasible factory of the future plan can be challenging. In 2018, only 12% of companies had a mature factory of the future plan. One of the main challenges that companies face is a lack of internal skills to devise digital solutions. However, this can be combated by carefully considering how you can utilize digital technologies to deliver improved performance, resiliency, and flexibility. It is easier to begin with small steps and to collaborate with a partner who could support your efforts to build toward your desired transformation goal. It is important to always be prepared by evaluating your next steps, industry trends, and progress metrics. It is also crucial to focus on the people, process, and technology you’re using to have a successful transformation journey.
Manufacturing with the factory of the future can provide savings in a wide range of categories. For example, it can reduce virtual vehicles build time by 80%, increase on-time performance of industrial equipment by 45%, and reduce modular construction time of construction, cities, and territories by 70%. Leading the transformation of the manufacturing space towards the direction of the factory of the future will allow manufacturers to work smart and better meet the needs of the end consumers.
Article | November 20, 2021
Modern manufacturing methods are pioneering and adopting manufacturing industry advancements. To remain competitive in the present era and provide the most excellent industry solutions to your organization and target customer group in 2022, you must employ new manufacturing technologies in your manufacturing processes.
Additionally, embracing current technologies is the ideal approach to tackle the industry's current challenges such as workplace safety, digitalization of operations, and a lack of skilled workers.
This article will discuss some of the leading manufacturing technologies that transform traditional manufacturing facilities into smart manufacturing factories. So, let us begin.
Manufacturing Technology & Innovations for 2022
To better understand industry 4.0, let's look at some of the manufacturing technologies that will dominate the manufacturing industry in 2022.
Numerous industries, including aerospace, healthcare, electronics, and architecture, utilize 3D printing in manufacturing. It is the most widely used technology across industries and will remain so in 2022 and in the years to come.
We may also anticipate more advancements in this technology to help overcome current barriers to 3D printing adoption, including equipment costs, material constraints, lengthier manufacturing times, a lack of knowledge, and legal issues.
Additionally, it would assist manufacturers in overcoming current manufacturing challenges such as increasing product demand, increasing automation, and locating and retaining the workforce in manufacturing plants. It is vital to incorporate 3D technology into production processes to achieve greater precision and accuracy in manufacturing.
The Internet of Things is a critical component of the industry 4.0 revolution. It has altered the environment of data collection and analysis across sectors. For example, the Internet of Things is assisting manufacturers in better understanding manufacturing and supply chain operations, forecasting product demand, and boosting customer experiences.
Implementing IoT in your manufacturing plant will also help you avoid production delays and increase the performance of your production lines. Additionally, it will decrease equipment downtime and improve process efficiency. It also enhances worker safety and enables more effective labor management.
To begin implementing IoT in your manufacturing plant, you must first examine your manufacturing processes and research how other organizations have implemented IoT in their manufacturing processes or products. This method will assist you in determining the optimal location to begin integrating the IoT in your manufacturing plants and transforming them into smart ones.
“Once you start to look at yourself in the right way and realize that projects are at the core of your business, it is easy to see how you should use technology to support your business.”
– Matt Mong, VP of Market Innovation and Project Business Evangelist at Adeaca.
GD & T
The model created in the CAD program for any product is not exactly replicated with the exact dimensions during the production procedures. Thus, manufacturers or engineers utilize GD&T (Geometric Dimension &Tolerancing) to manage and communicate the permissible variation within a product assembly to manufacturing partners and inspectors.
GD&T is a programming language that enables developers and inspectors to optimize functionality without incurring additional costs. The primary advantage of GD&T is that it expresses the design intent rather than the final geometry. However, as with a vector or formula, it is a representation of the actual item.
AR & VR
The two primary transformation aspects in the industry 4.0notion are augmented reality (AR) and virtual reality (VR). AR technology in manufacturing enables firms to operate more efficiently by reducing production time. Additionally, it discovers and resolves manufacturing process difficulties.
Virtual reality technology benefits the industrial business in a variety of ways. It enables product designers to mimic their prototypes or models using powerful virtual reality software. This enables them to correct faults at the first stage of production and minimize production time and cost. Additionally, the technology provides additional benefits, such as increased workplace productivity and safety.
Enterprise Resource Planning (ERP) refers to a comprehensive end-to-end software solution that is used across sectors. It assists the manufacturing business in successfully maintaining production processes and other operational data by avoiding numerous roadblocks along the way. ERP technology enables enterprises to improve process efficiency and product quality by tackling industry-specific difficulties such as insufficient data, operation integration, inventory control, supply chain management, and on-time delivery.
Discover How John Deere Manufactured Their Tractors Using Cutting-edge Technologies
John Deere is a significant firm that embraces innovation and the Internet of Things. The company integrates Internet of Things sensors, wireless communication, and intelligent land management systems. It further integrates IoT tools into its manufacturing process, bridging the gap between technologies. Additionally, the company is a pioneer in GPS technology. Its most modern technology, which it incorporates into tractors, is accurate to within two centimeters. Additionally, the organization has implemented telemetry technology for predictive maintenance.
Manufacturing innovations are assisting manufacturers in modernizing their traditional manufacturing processes. Modern manufacturing is equipped with modern technologies that aim to improve the processes and goods, increasing the manufacturers' commercial revenues. So, to remain competitive in this age of technological innovation, manufacturers must update their manufacturing processes to remain relevant in today's manufacturing world.
What is manufacturing innovation?
Manufacturing innovation includes new technology, supply chain modifications, and product and process improvements. As a result, businesses can benefit significantly from innovation and typically surpass their competitors.
Which technologies are considered to be a component of advanced manufacturing?
3–D printing, robotics, IoT, nanotechnology, cloud computing, robotics, and big data are the significant components of advanced manufacturing.
How are cutting-edge technologies assisting the manufacturing sector?
The cutting-edge technology can precisely estimate demand to set production objectives, analyze machine data to predict when parts will break before a human operator can detect, and more.
"name": "What is manufacturing innovation?",
"text": "Manufacturing innovation includes new technology, supply chain modifications, and product and process improvements. As a result, businesses can benefit significantly from innovation and typically surpass their competitors."
"name": "Which technologies are considered to be a component of advanced manufacturing?",
"text": "3–D printing, robotics, IoT, nanotechnology, cloud computing, robotics, and big data are the significant components of advanced manufacturing."
"name": "How are cutting-edge technologies assisting the manufacturing sector?",
"text": "The cutting-edge technology can precisely estimate demand to set production objectives, analyze machine data to predict when parts will break before a human operator can detect, and more."
Article | December 7, 2021
Machine learning in manufacturing is becoming more widespread, with businesses like GE, Siemens, Intel, Bosch, NVIDIA, and Microsoft all investing heavily in machine learning-based ways to enhance manufacturing.
Machine learning is predicted to expand from $1 billion in 2016 to USD 9 billion by 2022at a compound annual growth rate (CAGR) of 44% throughout the forecast period, according to Markets & Markets.
The technology is being utilized to cut labor costs, achieve better transition times, and increase manufacturing speed.
“I advocate business leaders get to know more about what AI can do and then leverage AI in proofs of concept.”
– Michael Walton, Director and Industry Executive, Microsoft speaking with Media 7
Machine learning can help enhance manufacturing processes at the industrial level. This can be achieved by assessing current manufacturing models and identifying flaws and pain factors. Businesses can rapidly address any difficulties to keep the manufacturing pipeline running smoothly.
Let us explore how machine learning is transforming manufacturing operations.
How Machine Learning Is Transforming Manufacturing Operations
“The greatest benefit of machine learning may ultimately be not what the machines learn but what we learn by teaching them.”
- Pedro Domingos
Machine learning in manufacturing is revolutionizing manufacturing operations and making them more advanced and result-oriented, so let's have a look at how this is unfolding.
Allows for Predictive Maintenance
Machine learning provides predictive maintenance by forecasting equipment breakdowns and eliminating wasteful downtime. Manufacturers spend far too much time correcting problems instead of planning upkeep. In addition to enhancing asset dependability and product quality, machine learning systems can forecast equipment breakdown with 92% accuracy. Machine learning and predictive analytics increased overall equipment efficiency from 65% to 85%.
Increases Product Inspection and Quality Control
Machine learning is also utilized for product inspection. Automated inspection and supervision using ML-based computer vision algorithms can discriminate between excellent and bad products. These algorithms simply need excellent samples to train; therefore a fault library is not required. However, an algorithm that compares samples to the most common errors can be built. Machine learning reduces visual quality control costs in manufacturing. Forbe's says AI-powered quality testing can boost detection rates by up to 80%.
Logistics-related Tasks Are Automated
To run a production line, industrial companies need considerable logistics skills. The use of machine learning-based solutions can improve logistics efficiency and save expenses. Manual, time-consuming operations like logistics and production-related documentation cost the average US business $171,340 annually. It saves thousands of manual working hours every year to automate these everyday procedures. Using Deep Mind AI, Google was able to lower its data center cooling bill by 40%.
Creates More Business Opportunities
Machine learning is frequently used in the production process. Substantial data analysis is required to create new items or improve existing products. Collection and analysis of huge amounts of product data can help find hidden defects and new business opportunities. This can help improve existing product designs and provide new revenue streams for the company. With machine learning, companies can reduce product development risks by making smarter decisions with better insights.
Protects Company’s Digital Assets
On-premise and cloud-based machine learning systems require networks, data, and technological platforms to function. Machine learning can help secure these systems and data by restricting access to vital digital platforms and information. Humans’ access sensitive data, choose applications, and connect to it using machine learning. This can help secure digital assets by immediately recognizing irregularities and taking appropriate action.
Harley Davidson's Sales Climbed by 40% Using Albert – The ML & AI-Powered Robot
Today, traditional marketing is harder to break through. It's easy to see why Albert (an AI-powered robot) would be a good fit for Harley Davidson NYC. Thanks to machine learning and artificial intelligence, robots are producing news stories, working in hotels, controlling traffic, and even running McDonald's.
Albert works well with social media and email marketing. It analyzed which customers are more likely to convert and modifies the personal creative copies on its own for the next process.
Harley-Davidson is the only company to employ Albert in its business. The company evaluated customer data to find prior consumers who made purchases and spent more time browsing the website than normal. Albert used this data to categorize customers and scale up test campaigns.
Using Albert, Harley-Davidson's sales climbed by 40% and leads increased 2,930%, with half coming from high-converting ‘lookalikes' detected by AI and machine learning.
The groundbreaking benefits of machine learning are the pillars of machine learning applications in manufacturing. Machine learning in manufacturing helps enhance productivity without compromising quality. According to Forbes, Amazon has automated warehouse logistics picking and packing using a machine learning system. With Kiva's help, Amazon's typical ‘click to ship' time dropped from 60-75 minutes to 15 minutes. So, industry leaders are seeing fantastic outcomes, and machine learning in manufacturing is the future.
How is machine learning used in manufacturing?
Machine learning is used in manufacturing to improve product quality and uncover new efficiencies. It unquestionably aids in the identification and removal of bottlenecks in the manufacturing process.
Which two forms of machine learning are there?
Machine learning is divided into two forms: supervised and unsupervised. In supervised machine learning, a machine learning algorithm is trained using data that has been labeled. Unsupervised ML has the advantage of working with unlabeled data.
What is a machine learning model?
A machine learning model is a file that can recognize patterns. In order to learn from a set of data, you must first train a model using an algorithm.
"name": "How is machine learning used in manufacturing?",
"text": "Machine learning is used in manufacturing to improve product quality and uncover new efficiencies. It unquestionably aids in the identification and removal of bottlenecks in the manufacturing process."
"name": "Which two forms of machine learning are there?",
"text": "Machine learning is divided into two forms: supervised and unsupervised. In supervised machine learning, a machine learning algorithm is trained using data that has been labeled. Unsupervised ML has the advantage of working with unlabeled data."
"name": "What is a machine learning model?",
"text": "A machine learning model is a file that can recognize patterns. In order to learn from a set of data, you must first train a model using an algorithm."