Use these three steps to calculate your social media ROI and prove the value of your investment.
As supply chain and logistics businesses are finally recognizing the merits of content marketing, and more specifically social media platforms, many are looking into implementing a program at their companies. But it doesn’t take much research to realize what an enormous investment it is. And how difficult it can be to prove social media ROI.
But what data should you use? How do you quantify certain benefits, like growth in brand awareness? And do you really have to keep track of all the hours you spend managing social media, crafting new tweets, etc.?
Here are three simple steps to start proving your social media ROI.
Once you’ve calculated ROI for your social media platforms, it’s time to think strategically about optimizing your content marketing resources in terms of allocation and timing. Having hard data helps you answer questions about which initiatives are most fruitful, what language engages your audience best, when your efforts are most likely to pay off.
Ultimately, this data-driven approach lets you continually adapt to the needs of your audience, ensuring an ongoing, robust ROI.
Have you had to prove your social media ROI? What strategies did you use?
Automation has two major benefits for supply chain marketers: it drives efficiencies and improves success rates in earning and converting leads.
When you think about automation in the supply chain, you probably don’t immediately consider marketing and sales. Perhaps you envision robots scooting around warehouse floors, or maybe you think of applications in billing, compliance reports, or order auditing. However, advances in automation have impressive implications for marketing and sales in the supply chain as well.
Automation has two major benefits for supply chain marketers. Like all automation, it drives efficiencies, allowing your team to devote more time to other core competencies. What you may not know, however, is that it also improves success rates in earning and converting leads. In fact, HubSpot reports that businesses using marketing automation to nurture leads receive a whopping 451% increase in qualified leads.
New trends in marketing automation – particularly those which function more like artificial intelligence – can streamline and improve your marketing and sales efforts. Here’s how.
Integrate marketing automation into your CRM strategy
Integrating marketing automation into your customer relationship management (CRM) strategy may not be the first thing that came to mind, but the two work beautifully in tandem.
An integrated approach will take all three of the following areas to the next level:
Track behavior. Automation lets you go far beyond basic demographic data, seeing things like what pages your prospects are visiting, what types of content they’re interested in, and where they are in the buying cycle.
Send targeted messages. You can use the behavioral information collected by your marketing automation tool to create and send targeted messages that are customized to your prospects’ interests and stage in the buying cycle. This means your prospects will find your messages more relevant and engaging.
Establish clear ROI. Establishing a clear link between marketing efforts and sales is a constant thorn in the side of most marketers, but new advances in automation make measuring ROI a little clearer. Creating a campaign in your marketing automation system maps it back to your CRM, so you can correlate closed deals directly with the campaigns that created them.
Basically, combining CRM with marketing automation can give you more organizational bandwidth, more precision in your messaging and lead nurturing, and more measurable value in your campaigns.
Create targeted messages with email workflows
There’s no area in which marketing automation is more helpful than in the creation of automated but extremely pertinent email workflows to your sales leads.
Based on the information you have about your leads and/or their engagement with your website, email workflows trigger a series of pre-determined highly-relevant emails at designated intervals, inviting them to take action and helping them to move down the sales funnel.
Email workflows do require considerable work upfront as you consider individual buyer profiles, their place within the buyer’s journey, and what timely and relevant information will advance them. But thoughtful well-designed email workflows can translate to substantial time savings and increases in lead conversion later.
More marketing automation: Social media scheduling tools & chatbots
Two other areas in which automation is making a big splash in marketing and sales are social media scheduling tools and chatbots.
The targeted approach of email workflows increases their chances of being read, but I don’t need to point out that – no matter how perfect your email might be – people are still buried in emails. On average, office employees receive 121 emails per day. Only around 20% are opened, and click-through rates are even lower.
So, in addition to email workflows, the newest trends in automation are social media scheduling tools and chatbots. Both of them can make your job much easier — and improve your bottom line.
Social media scheduling tools
Social media scheduling tools, like those offered by HubSpot and Hootsuite, let you plan and schedule content across your social networks.
For example, HubSpot’s comprehensive CRM and marketing platform includes the ability to automatically post to social media when you publish content, as well as in-depth analytical tools for determining the best time to post to social media platforms. You can also monitor social mentions and link your social media activity with larger marketing campaigns to determine ROI.
Hootsuite lets you keep track of various social media channels at once. It also helps you perform brand monitoring, letting you know when you brand is mentioned, and what your customers are saying.
As you can imagine, using a social media monitoring tool can greatly improve efficiency, cutting into the sometimes-seemingly-endless manual hours spent on social media monitoring and posting.
Chatbots
A chatbot is s a computer program that simulates human conversation using auditory or textual methods. It communicates with your customer inside a messaging app, like Facebook Messenger, and is similar to email marketing without landing in an inbox.
Chatbots are the latest trend in marketing, and their increasing popularity is making it harder to ignore how artificial intelligence is helping shape the content marketing landscape. It’s certainly timely. Business Insider recently reported that the number of people on messaging apps surpassed the number of users on social networks!
Messaging automation is the new email automation, and it can work for supply chain and logistics industries too. Chatbots currently allow for increased customer engagement through messaging app technology that isn’t yet saturated with marketing, and your brand will also appreciate the ease of tracking and segmenting your customers through chatbots.
Marketing automation is for the supply chain
Automation isn’t just for the warehouse or the finance and billing department. It’s also for this crazy constantly-changing world of marketing in supply chain and logistics industries. Marketing automation can make a big difference in your marketing and sales efforts.
Integrating automation with your CRM strategy, creating targeted email workflows, and the newest advances like social media scheduling tools and chatbots can all add up to major time savings and substantial increases in lead conversion rates.
The latest social media statistics show growth of Instagram, more metrics for ROI, social messaging bots, and video content.
One thing that always holds true with social media platforms: they are constantly changing. Platforms like Facebook, Instagram, and Twitter have used 2018 to continue this trend of continual growth and improvement.
It’s important with all the changes to take a pause and analyze where these changes are taking us. Simple data can point us to the latest trends and show us where social media is heading.
Social Media Examiner’s 10th annual study, 2018 Social Media Marketing Industry Report, surveyed more than 5,700 marketers from across the world in a variety of industries to see how social media is changing. It offers a really comprehensive view of what’s going on in social media in our industry and beyond.
“This industry report also shows you how marketers’ organic activities have changed and what their future plans are with organic and paid social media,” write the report’s authors.
Here are 10 social media statistics from the report that reflect where social media is headed and what B2B marketers need to be paying attention to.
Infographic: 10 social media statistics for B2B marketers 2018
I really recommend reading the 44-page report in its entirety from Social Media Examiner. There are pages and pages of interesting social media statistics that offer valuable insight into how marketers from all industries are using social media.
The report also shows how social media has changed in the last few years and even more rapidly in the past few months. With messaging bots and video content on the horizon, it’s hard not to wonder where social media will take us next.
What social media statistics are most interesting to you?
Data breaches are all over the news lately, but data analytics may be the key to tighter security — and better customer service.
A growing number of high-profile organizations have been in the news recently for data breaches that put customers at risk, and the trend shows no signs of stopping. Collecting data about customers allows organizations the advantage of personalizing their services, but safeguarding that data comes with major security concerns.
Data analytics, or the way organizations process the information they collect to learn about their customers, is becoming increasingly effective at de-anonymizing large amounts of data and tying it back to specific individuals. While personalized data is a goldmine in terms of marketing and services, it’s also exactly what cyber-criminals target.
But information expert Sam Ransbotham, in the MIT Sloan Management Review, says that de-anonymizing people through data analytics coud be a powerful security tool itself, and can even improve customer service along with way.
How data analytics plays into security
Ransbotham points out that authenticating identity is one of the most important parts of keeping data secure. Whether online or over the telephone, authenticating your identity usually means answering a string of questions first to identify your account and then to affirm that you are who you say you are.
Data analytics, however, offer a better way of authenticating identity. A number of companies in the banking sector have already begun to use speech processing to identify a caller’s voice based on recordings of previous telephone calls. These “voiceprints” can confirm identity almost instantly and reduce the chance of someone stealing a personal identification number (PIN).
Using an automated system of voice-data analysis gives banks the added benefit of being able to adjust their security protocols for all customer service interactions at once. This allows for faster responses to updated assessments of security threats, rather than having to re-train customer service representatives.
Customer service advantages
Instead of making callers identify themselves by answering “security challenge questions,” data analytics allows the security process to take place behind the scenes. Customers experience a more streamlined calling experience that immediately addresses their needs. They save time and are spared the hassle of answering questions to identify themselves.
Security challenge questions are, Ransbotham says, “adversarial by design. … This authentication process must begin with the assumption that the caller is a malefactor impersonating the real customer.” By performing the authentication process behind the scenes, voiceprints help re-define the customer service experience as helpful instead of combative.
Organizations, in turn, can save time on employee training. They can focus on training employees for service rather than security.
Data analytics does not have to involve a trade-off between security and service. Techniques like collecting and analyzing voice data can actually start providing solutions to some of the security concerns that data collection raised in the first place.
As Ransbotham suggests, data analytics has the potential for further applications. Voice analysis can detect speech patterns that indicate if someone is being coerced or suffering from impairment, which could be adapted for security and service purposes, too.
Automation in manufacturing can help create more, better paying jobs. But two leading economists have examined real-world data and concluded that the robots may be winning after all. Is it true?
Last year I wrote about artificial intelligence (AI) and the potential loss of American jobs. At the time, I thought; “Yes, people will lose jobs — that is inevitable. Automation, however, will create many more.”
Automation would create leaner, more efficient operations. Efficiency facilitates new market opportunities and business growth, which in turn would allow for expansion and job creation.
It felt like a good argument! And I wasn’t alone. If one looks at media coverage from last year, one can find plenty of references to “beating the robots.”
There was a palpable feeling, an energizing hope, that automation would, in fact, ultimately create more, better paying jobs. And these new jobs wouldn’t be the low-skill positions of their pre-automation predecessors, but rather higher-paying opportunities operating new technology and supervising automated processes.
In a paper last year, two of the most respected researchers on the subject said it was likely that increased automation would create new, better jobs, so employment and wages would eventually return to their previous levels.
It all seemed positive.
This year’s news
But wait. The same researchers — Daron Acemoglu of M.I.T. and Pascual Restrepo of Boston University — published an updated study that has gained a tremendous amount of attention. It was covered in-depth by the New York Times, with the title: Evidence That Robots are Winning the Race for American Jobs.
Sadly, their study appeared to be the first “to quantify large, direct, negative effects of robots.”
In referencing the difference in prognosis from last year to this year, the NYT article noted that the older paper was “a conceptual exercise” and the new study “uses real-world data — and suggests a more pessimistic future.”
I thought, I’m going to have to write a new article. It was tentatively titled, “I Take It Back: The Data Says the Robots May Be Winning.”
But as I sat down to write, something just didn’t add up. How did all this jive with the latest employment news? Only days ago, unemployment rates hit 3.9%, a rare low, mimicking rates we haven’t seen since 2000.
Taking in the whole picture
As I looked further into the study, I found that it covered 1990-2007, a lengthy but rather unique time in our economic history. The years from 1990 to 2007 saw a dotcom boom and burst. (Just for reference, unemployment rates rose sharply in 2009 and 2010, but have been on a steady decline since then.)
The robot vs. man study said that robots were to blame for up to 670,000 lost manufacturing jobs between 1990 and 2007. I’m not arguing with the study.
But they then go on to conclude the following: The numbers will rise because industrial robots are expected to quadruple. And from where I sit in 2018, I simply don’t see the facts to support that assumption.
Let’s look at manufacturing specifically. Are machines and automation blowing up the manufacturing sector? Well, yes and no.
Certainly manufacturing jobs have had a sharp decline over the last 20 years; that’s undeniable.
But since 2000, their percentage of the overall job market has held generally stable between 8 and 9%. And current employment statistics for 2018 show increases in the manufacturing sector.
Now, I’m not suggesting manufacturing jobs are “roaring back” by any stretch. But a positive trend line is … well … positive. The prognosis of a “pessimistic future” just doesn’t seem widely supported yet by the facts. Time, as always, will tell.
Of course, economists warn that employment rates aren’t the whole picture. While they may mimic that of 2000, they warn that the economy isn’t the same and that it is concerning that wages have been slow to rise even though unemployment has fallen.
From what I see now, however, I still feel optimistic that AI and automation will create leaner, more efficient operations that will, in turn, create new (even if different) jobs. To me, it still looks like the ones winning from the increasing technological advances in the manufacturing industry are, in fact, we humans.
“If you think that the internet has changed your life, think again. The Internet of Things (IoT) is about to change it all over again!”
This famous quote from co-founder of Aria Systems, Brendan O’Brien, sums up the significant role that the Internet of Things is playing now, and also its unlimited potential in the near future. The technology can be defined as the networked connection of physical objects.
Since 2014, Internet of Things is no longer a new term for most companies. However, this is just the beginning of the IoT revolution. More than 1.2 trillion items on earth now have the potential to join the IoT network, but less than one percent of them are connected to the internet.
And if we look at estimated worldwide spending on IoT through 2020, manufacturing, logistics and utilities are the industries that will spend the most money on this technology. This is partially due to their reliance on supply chain management. In addition, their supply chain networks are usually much more complex then companies from other industries.
The real value of Internet of Things is the data captured during the process, instead of the devices themselves. Nowadays customers are expecting higher quality products delivered in the shortest amount of time. That trend requires companies to have a more efficient supply chain in order to fulfill the demand. Brand matters less as it did a decade ago.
How to move products from the factory to consumers’ hands more efficiently becomes the new challenge for all players across all industries. Meanwhile, saving cost, adding asset velocity through enhanced transparency, as well as visibility are also the potential benefits by embracing the Internet of Things.
There are a number of IoT practices in supply chain:
Operational efficiency
Warehouses always play a vital role in a supply chain. It is also an area where IoT technology shows its magic by providing competitive advantages through data acquired from sensor networks. And generally, it can be improved from four aspects:
Manufacturing maintenance – Sensors and robots linked to the internet increase up-times, reduce operational costs, and improve overall service quality. By visualizing and collecting data — such as temperature and equipment malfunction — managers are able to see and control operations on the floor in a real-time manner. Data collected in the IoT process can also be used in setting alerts for predictive maintenance. It works like HP Instant Ink, which will automatically order new ink when you the printer is about to run out of the old one.
Inventory forecasting – As Vice President of IT at DHL Supply Chain Javier Esplugas said: managers no longer have to wait for weeks or months to get a report to have an understanding what happened during the last quarter. Instead, managers can make decisions on things that are happening now. Even companies using a 3PL can closely monitor the distribution centers and warehouses so that they can avoid prolonged cycle times and receive warnings in advance.
Asset tracking – In a warehouse, scales and visual sensors can alert workers about fulfillment needs. The IoT also reduces human error for inbound and outbound records, requiring less human capital for one warehouse.
Freight transportation – Logistics also holds a great potential for IoT networks. Today, sensors can track and monitor a container in a freighter in the middle of the sea or on a cargo flight. In the future, IoT will also be used to provide a more secure freight transportation environment. In 2016, around $3.7 million worth of consumable goods was stolen in cargo thefts in the U.S. The number of incidents reported in 2016 was 692. Through IoT technology, owners will have access to real-time information on the movement of goods.
A more thorough example would come from DHL. This global company actively involves IoT in different stages of its logistics process.
The journey of a package at DHL starts at the time it’s received by a carrier. By scanning the bar code or QR code on the package, it is formally recorded in the company’s system.
When the package arrives at the warehouse, basic information such as height, weight, and goods type will be collected as it enters the gate, providing accurate inventory control for workers. Sensors in the facility will be constantly monitoring the condition, as well as location of the items, giving workers a visual graph on the computer. When the package leaves the warehouse or sorting center, sensors built in the gate will collect information again for outbound items. Cameras attached to the gateways could also be used for damage detection.
Due to the fact that DHL has been focusing on global logistics, its activities always include freight transportation. To reduce the inventory delays as well as the cost of stolen goods, DHL expects to set up location and condition monitoring through IoT. Ultimately, transport visibility and security functions will be enhanced.
What’s more, DHL’s Supply Chain segment is developing a software that gives clients a way to manage global supply chain risk by providing alternatives. The tool can find other optimized solutions by leveraging data collected from connected objectives.
Last-mile delivery
It makes a lot of sense to introduce IoT to warehouse management or freight transportation. However, for last-mile delivery, it can be a very different story. This final part is highly dependent on labor.
Carriers use data collected from vehicles for road condition in order to optimize the route. Before delivery, they would send notification to the end-customer, who has the choice to either accept the scheduled delivery time or re-schedule the delivery.
The future
By the year of 2020, the number of devices connected to the IoT will be over 50 billion. But that’s still just 3 percent of the number of all things on earth.
JDA’s Intelligent Manufacturing Survey discovered that 57 percent of manufacturers were going to incorporate IoT into their digital supply chain strategy. However, according to an Accenture report, up until the beginning of 2017, 88 percent of manufacturing executives were not prepared to adopt the technology. This is going to benefit companies that are willing to be the first movers and create barriers for the rest to catch up.
So, is your company ready for the digital revolution?
About the author
Xiaoxue Liu, originally from China, is a current MBA student at University of New Hampshire, with a huge interest in supply chain digitalization.
