Article | April 6, 2021
As the pandemic upended plans for marketing and sales in 2020, it forced marketers in the manufacturing industry to adopt the tactics of the remote world. Many of them are still wondering how they can focus on driving business growth in 2021. Intent data has undoubtedly added some spice to the season of online marketing.
Research conducted by B2BecNews on 110 businesses found that 59.5% of business buyers research two to three websites before buying while 29.7% research up to seven websites.
The “How” of Intent Data
Intent data allows businesses to channel their expenditure to the leads that matter the most. It boosts sales and encourages marketers to be smarter by doing more in less time.
Moreover, b2b buyers now tend to look for an immersive digital experience and are likely to conduct more and more searches before engaging with a brand. Such digital activity will tell you what a visitor’s intentions are called the intent data.
To drive your business, here are some tried-and-true and unexpectedly productive ways to scale up your marketing and sales game using intent data.
Improve your Sales Pitches/Pipelines
When you are expanding or redefining your business because you want to target a new market or audience, third-party intent data is a decent place to start. Through intent data, your sales team can build a year’s pipeline by reaching target audiences.
To get the value of your sales, you can use intent data categorizing with a professional group, seniority, functional area, business size, and more for targeted prospects. And if your data provides contact information, your sales team will have an even deeper understanding of the dynamics of prospects’ buying activities.
Moreover, learning about the fact if a CEO or a random visitor visits your website creates a difference between a quality lead and a generic one. There are times when organizations don’t vigorously look for a product. But with the right content force, you can direct them towards a purchase decision. This way, you can get a chance to pitch and improve sales.
So, how can content pitch sales?
The next point explains the importance of nurturing content on your website.
Nurture with Personalized Content
Once you target new prospects, you can nurture them with excellent and informational marketing content. These can be in various forms like articles, blogs, advertisements, social media, infographics, and more.
Personalization results better in the sea of marketing (digitally or manually). Since the pandemic has pushed the digital world extensively, personalization is on a hike. Companies that personalize their marketing strategies to communicate are improved by 86% in customer relations, have higher conversation rates, and observed improvement in businesses.
To personalize your content, you have to look at intent data and search for the prospect’s interests. After your research, you can create content for them. Paying attention to contextual information will improve the prospect’s experience, causing them to turn into your client.
After you create personalized content, what will happen next? Find out ahead.
Generate High-Quality Leads
Intent data tells you how far each prospect has progressed. A combination of intent and context data helps with lead scoring, which shows you the quality of leads.
A visit to your website by an intern is somewhat different from a CEO’s visit.
Consuming content on general industry information differs in value from product-specific content that provides information on websites.
When a visitor compares prices, it intends to buy, opposite to a visitor who bookmarks pages.
Besides, intent data for manufacturers also tells:
Channels to target your prospects actively.
Content to encourage
Offers to serve
The timing of each lead nurturing action
Improve Account-Based Marketing Campaigns
Account-based marketing and intent data go hand-in-hand. So, it would be best if you worked through every possible path to collect more information about your prospects. This way, it will help you take a focused approach. Once you identify the interested prospects, you can focus your time and energy on those accounts and expand your reach.
Intent data helps you to find more in-market customers. They can score leads with better precision and re-shape your marketing campaigns by showing up with the right message at the right time.
Include Marketing Automation Operations
Implementing marketing automation technologies with intent data will save your team's time. As they usually spent analyzing data entry by automatically setting alerts when buyers intend to show their interest.
Why is Intent Data for Manufacturing Becoming Crucial for Future?
With marketers, or say, manufacturing marketers, it's always vital to drive revenue for business and get ahead with trending marketing paths. For this, knowing intent of prospects is a must to gain success.
Knowing a prospector’s behavior can help your marketing team target a specific profile and create personalized content on demand to increase their purchase decision. After all the information is collected, prospects become more knowledgeable and informed of the decision they make. More information attracts more potential buyers when they are informed conveniently at the right time and manner. In this entire process, you gain an increased ROI.
These aspects are incomplete without intent data for manufacturers, which targets numerous data and creates an easy baseline so that marketers can learn precisely about potential prospects’ behaviors. Intent data can be used for the future through a particular pattern. Generic marketing campaigns delivered to a random audience will simply shut down your business. Because now, the users expect to see content that’s valuable to them.
Therefore, intent data for manufacturers is the key to providing better answers and solutions and allowing better marketing budgets. Both of these lead to more conversions which results in more revenue.
Frequently Asked Questions
How is intent data collected?
The collection of intent data is not new to marketers. It has gained prominence only after the pandemic. The data is gathered through the website. Its analysis is done by tracking visitors to the website, clicks, chatbots, duration of stay, and information search.
How can manufacturers leverage intent data?
The steps to leverage are:
1. identify the prospect and what it wants to search or trying to search. It could be keywords, trending words or phrases, and more.
2. Create quality yet informational content following the prospects’ interest.
3. Now, it’s time to promote content with the right on different channels to attract prospects.
What are the intent data tools for manufacturers?
Some good intent data tools manufacturers can use are:
What is buyer intent data for manufacturers?
Through buyer intent data, your sales team easily reaches out and gets engaged with the right prospect at the right time. Manufacturing marketers use it to plan can create effective campaigns to target potential ones and convince them to buy.
"name": "HOW IS INTENT DATA COLLECTED?",
"text": "The collection of intent data is not new to marketers. It has gained prominence only after the pandemic. The data is gathered through the website. Its analysis is done by tracking visitors to the website, clicks, chatbots, duration of stay, and information search."
"name": "HOW CAN MANUFACTURERS LEVERAGE INTENT DATA?",
"text": "The steps to leverage are:
1. identify the prospect and what it wants to search or trying to search. It could be keywords, trending words or phrases, and more.
2. Create quality yet informational content following the prospects’ interest.
3. Now, it’s time to promote content with the right on different channels to attract prospects."
"name": "WHAT ARE THE INTENT DATA TOOLS FOR MANUFACTURERS?",
"text": "Some good intent data tools manufacturers can use are:
"name": "WHAT IS BUYER INTENT DATA FOR MANUFACTURERS?",
"text": "Through buyer intent data, your sales team easily reaches out and gets engaged with the right prospect at the right time. Manufacturing marketers use it to plan can create effective campaigns to target potential ones and convince them to buy."
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."
Article | January 4, 2022
Content marketing for manufacturers has become an essential component of every organization, and the manufacturing industry is no exception. Manufacturers are concentrating more on increasing their presence in both the digital and physical markets. As a result, the content market is seeing a boom as novel techniques are aimed at reaching the end objective of the manufacturing company.
According to PRNewswire, the worldwide content marketing industry is expected to increase by USD 417.85 billion between 2021 and 2025, at a CAGR of over 16%.
“Marketing is no longer about the stuff that you make, but about the stories you tell.”
– Seth Godin
Why Is Content Marketing Critical to Your Business's Success?
Helps in the formation of your brand's identity
Enables you to take advantage of organic search results
Performance is easy to assess
Produces leads and attracts ideal buyers
It balances the playing field, resulting in a higher ROI
It enables you to benefit from social shares
It entices visitors to return to your website on a regular basis
Manufacturing Content Marketing Strategies That Work
Recognize the Buyer's Pain Points
Writing amazing content requires knowing your target audience. Knowing your ideal customers helps you generate content that is relevant to them. When your potential buyer visits your website and finds content that answers his or her inquiries, you've already removed one hurdle for your sales staff.
How does your sales team define a good prospect?
Who are they?
What do they do?
Why are they visiting your business?
What is their industry knowledge?
The answers to all such questions influence what and how you write. Once you start recognizing your buyers, you can get the prospect and confidence in your organization to address your buyer’s difficulties.
Do Research on Keywords
Everyone appears to believe that skipping keyword research is acceptable. However, this is not the case. If you want to focus on marketing activities that yield big returns, you need a best manufacturer content marketing strategy backed by solid SEO.
Keyword research is the first step. Use one of the numerous internet keyword research tools to find terms with high search traffic, low competition, and relevance to your manufacturing company's activity. The better your keyword research, the better your content approach.
Create and Schedule Consistently Excellent Content
Writing outstanding content is by far the greatest strategy to increase your manufacturing company's SERP rank.
Hire a good content writer or content strategist who can combine your technical expertise, keywords, and purpose into a meaningful blog, case study, or content offer that gets results. Your material must be good to rank well.
Irregular content, like scattered production, always spells disaster. Having a defined timetable that your audience understands is essential to successful content marketing. Whether you produce material weekly, monthly, or quarterly, a timetable ensures that content is consistently released and updated.
Make Your Content More Visible
Once your content is ready, make your content visible to your target audience. Get your content marketing for manufacturing plan going to promote it in every way.
You're in a tough spot when it comes to content marketing for manufacturers. To stay ahead of the competition, you must constantly monitor the performance of your materials.
Keep an eye on everything you create and promote. Analyze which content form is performing well. Is it a blog? A time-lapse video? Or infographics? Identify your best-performing content so you can develop more of it.
Also focus on the content that doesn't perform well. Consider why that content didn't work for your audience. Is it too hard to rank that post? Is there a better platform or medium for the content? All of these queries must be answered to establish a strong content strategy for your company.
Optimize Your Content Marketing
The lack of industry-specific content marketing tactics is a major challenge for manufacturers. Many businesses use a generic strategy that ignores their particular customer connections, making different types of content marketing for manufacturers ineffective.
As the manufacturing business is a specialized business in any particular area, they also need specific content marketing strategies. Hence, focus on building a unique content marketing strategy that would help you optimize your business reach to your target audience.
General Electric Is Taking the Lead on Social Media
GE has come a long way from its 1892 beginnings. While it has retained basic product streams such as lighting, transportation, and power transmission, the goods themselves have developed dramatically. Social media marketing has become increasingly important as new technology transforms the corporate scene.
GE's Instagram Presence
GE's Instagram feed is an excellent illustration of widespread appeal. GE always shares attractive photographs with full explanations. It recognizes the power of pictures and captures common scenes in fascinating ways.
Utilizing cutting-edge content marketing methods for manufacturing businesses is critical for increasing your business's visibility and reach with your target audience. Ascertain that you select the appropriate techniques to advance your digital and physical presence in the industry. Discover the most effective plan for manufacturing content marketing and change your present marketing methods into more refined and up-to-date ones.
What are the best ways to market a manufacturing company?
The best approaches to advertising any manufacturing business are to concentrate on improving content, email marketing, SEO, press releases, and event sponsorship.
Is marketing vital for manufacturers?
Yes, since marketing opens up a whole new world for manufacturers, and a strong brand helps any business stand out from the competition.
Article | January 3, 2022
Production planning and control are critical components of any manufacturing organization. It helps organizations with the regular and timely delivery of their goods. Furthermore, it allows manufacturing businesses to increase their plant’s efficiency and reduce production costs.
Numerous software and tools for production scheduling and planning are available on the market, including Visual Planning, MaxScheduler, and MRPeasy, which assist manufacturing organizations in planning, scheduling, and controlling their production.
According to KBV Research, the manufacturing operations management software market is anticipated to reach $14.6 billion by 2025 globally, expanding at a market growth of 10.2 percent CAGR during the forecast period.
So, what exactly is production planning and control?
Production planning is an administrative process within a manufacturing business. It ensures that sufficient raw materials, personnel, and other necessary items are procured and prepared to produce finished products according to the specified schedule.
Scheduling, dispatch, inspection, quality control, inventory management, supply chain management, and equipment management require production planning. Production control makes sure that the production team meets the required production targets, maximizes resource utilization, manages quality, and saves money.
“Manufacturing is more than just putting parts together. It’s coming up with ideas, testing principles and perfecting the engineering, as well as final assembly.”
– James Dyson
In oversize factories, production planning and control are frequently managed by a production planning department, which comprises production controllers and a production control manager. More significant operations are commonly monitored and controlled from a central location, such as a control room, operations room, or operations control center.
Why Should You Consider Production Planning?
An efficient production process that meets the needs of both customers and the organization can only be achieved through careful planning in the early stages of production. In addition, it streamlines both customer-dependent and customer-independent processes, such as on-time delivery and production cycle time.
A well-designed production plan minimizes lead time, the period between placing an order and its completion and delivery. The definition of lead time varies slightly according to the company and the type of production planning required. For example, in supply chain management, lead time refers to the time required for parts to be shipped from a supplier.
Steps in Production Planning and Control
The first stage of production planning determines the path that raw materials will take from their source to the finished product. You will use this section to determine the equipment, resources, materials, and sequencing used.
It is necessary to determine when operations will occur during the second stage of production planning. In this case, the objectives may be to increase throughput, reduce lead time, or increase profits, among other things. Numerous strategies can be employed to create the most efficient schedule.
The third and final production control stage begins when the manufacturing process is initiated. When the scheduling plan is implemented, materials and work orders are released, and work is flowing down the production line, the production line is considered to be running smoothly.
The fourth stage of manufacturing control ascertains whether the process has any bottlenecks or inefficiencies. You can use this stage to compare the predicted run hours and quantities with the actual values reported to see if any improvements can be made to the processes.
Production Planning Example
Though production planning is classified into several categories, including flow, mass production, process, job, and batch, we will look at a batch production planning example here.
Manufacturing products in batches is known as "batch production planning." This method allows for close monitoring at each stage of the process, and quick correction since an error discovered in one batch can be corrected in the next batch. However, batch manufacturing can lead to bottlenecks or delays if some equipment can handle more than others, so it's critical to consider capacity at every stage.
Consider the following example of batch production planning:
Jackson's Baked Goods is in the process of developing a production plan for their new cinnamon bread. To begin with, the head baker determines the batch production time required by the recipe.
He then adjusts the bakery's weekly ingredient orders to include the necessary supplies and schedules the weekly cinnamon bread bake during staff downtime.
Finally, he creates a list of standards for the bakery staff to check at each production stage, allowing them to quickly identify any substandard materials or other batch errors without wasting processing time on subpar cinnamon bread.
Running a smooth and problem-free manufacturing operation relies heavily on a precise production planner. Many large manufacturing companies already have a strong focus on streamlining their processes and making the most of every manufacturing operation, but small manufacturing companies still have work to do in this area. As a result, plan, schedule, and control a production that will enable you to run your business in order to meet its objectives.
What is the difference between planning and scheduling in production?
Production planning and scheduling are remarkably similar. But, it is critical to note that planning determines what operations need to be done and scheduling determines when and who will do the operations.
What is a production plan?
A product or service's production planning is the process of creating a guide for the design and manufacture of a given product or service. Production planning aims to help organizations make their manufacturing processes as productive as possible.