Various studies over the years have examined the relationship between content relevancy and behavior. Almost everyone would agree that content must be relevant. But what is relevance? According to Wikipedia: “Relevance describes how pertinent, connected, or applicable something is to a given matter.” A thing is relevant if it serves as a means to a given purpose.
In the context of this discussion, the purpose of content is to positively influence customer or employee behavior, such as increasing purchase frequency, purchase velocity (time to purchase), likelihood to recommend, productivity, etc.
When we ask marketers and others how they measure content relevancy, we often hear, “We base it on response rate.” If the response rate meets the target, then we assume the content is relevant; if response doesn’t meet the target, we assume it’s not relevant.
Clearly there is a relationship between relevance and response. Intuitively we believe that the more relevant the content, the higher the response will be. But measuring response rate is not the best measure of relevancy. Many factors can affect response rate, such as time of year, personalization, and incentives. Also, in today’s multi-channel environment, we want to account for responses or interactions beyond what we might typically measure, such as click-throughs or downloads.
So, what is the best way to measure relevancy?
The best-practice approaches for measuring relevancy are many, and many of them are complex and require modeling. For example, information diagrams are an excellent tool. But marketers, who are usually spread thin, need a simpler approach.
The following three steps provide a way to tie interaction (behavior) with content. It’s critical
that you have a good inventory of all your content and a way to define and count interactions, because once you do, you’ll be able to create a measure of relevancy.
The process and equation include the following:
1. Count every single piece of content you created this week (new Web content, emails,
articles, tweets, etc.). We’ll call this C.
2. Count the collective number of interactions (opens, click-throughs, downloads, likes,
mentions, etc.) for all of your content this week from the intended target (you’ll need to
have clear definitions for interactions and a way to only include intended targets in your
count). We’ll call this I.
3. Divide total interactions by total content created to determine Relevancy: R = I/C
To illustrate the concept, let’s say you are interested in increasing conversations with a particular set of buyers. As a result, this week you undertook the following content activities:
• Posted a new whitepaper on a key issue in your industry to your website and your
• Tweeted three times about the new whitepapers
• Distributed an email with a link to the new whitepaper to the appropriate audience
• Published a summary of the whitepaper to three LinkedIn Groups
• Held a webinar on the same key issue in your industry
• Posted a recording of the webinar on your website, SlideShare, and Facebook page
• Held a tweet chat during the webinar
• Tweeted the webinar recording three times
• Posted a blog on the topic to your blog
We’ll count those as 17 content activities.
For that very same content, during the same week, you had the following interactions:
• 15 downloads of the whitepaper from your site
• 15 retweets of the whitepaper
• 15 Likes from your LinkedIn Groups and blog page
• 25 people who attended the webinar and participated in the tweet chat
• 15 retweets of the webinar
• 15 views of the recording on SlideShare
That’s a total of 100 interactions. It’s likely that some of these interactions are from the same people engaging multiple times, and you may eventually want to account for that likelihood in your equation. But, for starters, we can now create a content relevancy measure:
R= 100/17 = 5.88.
Using the same information, had we measured only the response rate, we might have counted only the downloads and attendees—40 responses—so we might have had the following calculation:
R = 40/17 = 2.353
As you can see, the difference is significant.
By collecting the interaction data over time, we will be able to understand the relationship between the relevancy and the intended behavior, which in this example is increased “conversations.”
I strongly encourage you to consider relevancy as a key measure for your content marketing. By tracking relevancy, you will be able to not only set benchmarks and performance targets for your content but also model content relevancy for intended behavior.
Lately, we have seen an increase in two requests from event organizers: send a customer to speak instead of you and/or speak for free. While made with the best of intentions, these requests are at the very least rude and at worst portray organizations as unprofessional. Why are these seemingly innocuous requests rude?
Mack Collier of The Viral Garden has articulated why it is wrong to ask experts to speak for free, saying that good speakers spend days creating material and preparing for a presentation. He estimated that he spends “anywhere from 15 to 30 hours preparing/rehearsing the presentation, and loses a minimum of one day due to travel, usually two days.” This is a big investment of time for anyone — and for experts, time is money. A good event organizer will not ask a speaker to speak for free and they will cover travel costs. Speakers understand the need to offset costs by giving speaking slots to sponsors. But sponsors are advertisers. Just because someone paid for a sponsorship doesn’t mean they have the expertise you need.
As someone who has organized numerous events, my goal is to secure speakers who provide the expertise participants will benefit from. The speaker’s expertise should be lending credibility and value to your event. Framing the event as a business development opportunity for the speaker is unprofessional; the reason to select speakers is for the value they bring to your program. A good speaker is not there to make a sales pitch; rather, to educate, entertain, and/or motivate the audience.
The second request is to substitute a customer as an expert. The underlying message is “you are good enough to do the work for a company but not good enough to speak at our event.” This request places the experts and their customers in a very difficult situation — who pays for the customer’s travel since many companies’ travel budgets have become restrictive, who prepares the presentation, who preps the customer since they are not experts, how do they handle Q&A’s, what if a company commitment comes up and they need to bail, and so on.
This kind of request often results in the experts paying travel for both the customer and
themselves, preparing the presentation since the customer doesn’t have the time or expertise, and having do a dive and catch when the customer has a last-minute schedule conflict. It also creates schedule challenges for dry runs, which can negatively impact the event attendees’ experience. It is easy to see that this particular request creates an enormous amount of work and additional costs for the experts and additional work for their customers with no payoff for either party.
In today’s environment, customers want to use their limited resources to reach their prospects and customers, to grow their businesses. Their time is money, too, and they want to invest where they will see the best return. If you want to be a better event organizer, stop making these two requests of the experts who can add tremendous value to your event.
The Right Stuff, a 1979 book by Tom Wolfe, chronicled the sequence of events bridging the breaking of the sound barrier and the Mercury space expeditions. The book (and subsequent movie) explored why the Mercury astronauts accepted the danger of space flight, as well as the mental and physical skills required of them to do their job—in other words, the ”right stuff.”
Recent studies suggest the need for many marketing professionals to re‐skill and re-tool. Only about 5 percent of marketers surveyed in a recent CMO Council study are highly satisfied with their levels of accountability, operational visibility, and marketing output. Most see plenty of room for improvement.
So what skills and tools are needed for your organization to have the right stuff?
Regardless of company size and industry, marketing teams (whether a team of one or more) are under increased pressure to drive top‐line growth and profitable revenue. For many organizations this means acquiring new skills related to marketing performance measurement and management, analytics, benchmarking, and customer engagement. Let’s review these four specific skills every marketer should have under their belt:
• Metrics and performance target‐setting. With greater demand for marketing to be more accountable, solid metrics, performance target‐setting, measurement, and reporting skills are crucial. Participants in numerous studies comment on the importance of being able to set measurable goals and track results. These skills will be in vogue for a long time to come.
• Analytics. This is the ability to derive insights from data. If growing valuable customer relationships and being able to forecast sales from future marketing activities are important, then analytics ought to be on the top of your skills‐to‐acquired list.
• Benchmarking. This is the process of comparing what your company does to another that is widely considered to be an industry standard or best practice. The aforementioned CMO Council study indicated 58 percent of respondents have nominal or no benchmarking capabilities. If you don’t know what the standard is, how will you know what to strive for when it comes to such things as win/loss ratios, marketing key performance indicators, share of preference, product adoption rates, and so on? Benchmarks are essential to any organization that believes continuous improvement is critical to the pursuit of excellence.
• Customer experience management. If business exists to produce and serve a customer, and marketing’s job is to create, communicate, and deliver value to customers, then marketing is your organization’s ultimate steward of the customer experience. Marketers need to be sure they have the skills necessary to improve customer engagement and touch- point effectiveness. They also must respond to changes in the buying cycle and conduct voice‐of‐customer research in order to retain customers, create loyalty, and transform customers into advocates for the company.
Marketing operations refers to infrastructure — that is, the tools, systems, and processes in place to facilitate customer‐centricity. Forty‐four percent of the respondents in the CMO Council study are looking for way to lower costs and improve go‐to‐market efficiencies. For many organizations, achieving these operational efficiencies requires infrastructure changes and improvements.
With limited resources, where can you get the best bang for your buck? Here are four areas for investment consideration:
1. Operational process alignment. When was the last time you mapped your operational processes and verified marketing alignment with the sales, product, service, and other parts of the business? All of us get into routines and habits. Reviewing processes and updating them may be time consuming, but if you are looking for ways to reduce inefficiencies internally, this is a necessary step.
Many years ago, when I was in the semiconductor industry, we needed to find a way to reduce the time from order to delivery of product. It was just taking too long to get product to customers, and we didn’t know why. When we calculated the time it took for the individual steps of order placement, manufacturing, testing , assembly, and shipping, the time didn’t add up to what it actually took.
So we mapped the process, counting the time product was ”in‐transit,” whether physically or in some other way. Lo and behold, the in‐transit time was off the charts. The mapping process enabled us to identify the inefficiencies, label the white spaces, and put in new processes to reduce and even eliminate them.
2.Market/Business intelligence. There is an art and science to using external information for driving business strategy. Business intelligence applications enable the collection, integration, analysis, and presentation of competitive, channel, product, and customer information to derive trends and insights. The value of having such a tool is that, when used properly, it enables you to begin conducting scenario analyses and anticipating the future. With the insights derived from business intelligence, there is the potential to anticipate the development of new markets, technological turning points, and how the competitor will react.
3.CRM. If the marketing organization is responsible for the relationship between the company and the customer, then it stands to reason the organization needs tools to facilitate this relationship. As you know, there are a range of CRM tools out there, so selecting the right one can be a daunting task. Even so, in today’s environment a company can’t afford to operate without a formal approach to customer relationship management. Of course, once you have the tool , the next biggest hurdle is using it.
4. Performance management. The ability to use analytics, reporting, and dashboards to assess marketing’s effectiveness, efficiency, financial contribution, and progress toward achieving pre-determined goals is performance management. In the end, marketing must demonstrate its value, which lies in how much you are “moving the needle.” This necessitates reporting on performance, impact, and ROI from the program level up.
Progress doesn’t come without missteps, misfires, and failures. Winners look for ways to overcome challenges and continuously improve. They seek outside help, new ideas, and new skills. While attending a Webinar, reading a book, or going to a conference helps, consider looking for ways that will enable the whole team to be on the same page at the same time. There are plenty of on-site and online programs offered by professional organizations and institutions, as well as by firms specializing in these areas.
In Wolfe’s story, the national heroes of the Mercury space program were not necessarily the truest and best. What they possessed was the right stuff, the skill and courage to ”push the outside of the envelope.” Does your marketing team have the right stuff?
Various studies over the years have examined the relationship between content relevancy and behavior. Almost everyone would agree with the statement that “content must be relevant.” But what is relevance? According to Wikipedia: “Relevance describes how pertinent, connected, or applicable something is to a given matter. A thing is relevant if it serves as a means to a given purpose. In the context of this discussion, the purpose of content is to positively impact customer or employee behavior, such as increasing purchase frequency, purchase velocity (time to purchase), likelihood to recommend, productivity, etc.
When we ask marketers and others how they measure content relevancy, we often hear, “we base it on response rate.” If the response rate meets the target, then we assume the content is relevant or vice versa. Clearly there is a relationship between relevancy and response. Intuitively we believe the more relevant the content the higher the response will be. But measuring response rate is not the best measure of relevancy. There are many factors that can affect response rate, such as time of year, personalization and incentives. Also, in today’s multi-channel environment we want to account for responses or interactions beyond what we might typically measure such as click thrus or downloads.
So, what is the best way to measure relevancy? There are a number of best-practice approaches to measuring relevancy, many of them are complex and require modeling. For example, information diagrams can bean excellent tool. But for marketers who are spread a bit thin and therefore need a simpler measure, the three step approach below ties interaction (behavior) with content:
Count every single piece of content you created this week (new web content, emails, articles, tweets, etc). We’ll call this C.
Count the collective number of interactions (opens, click thrus, downloads, likes, mentions, etc.) for all of your content this week from the intended target (you’ll need a way to only include intended targets in your count). We’ll call this I.
Divide total interactions by total content created – R = I/C
To illustrate the concept, let’s say you are interested in increasing conversations with a particular set of buyers and as a result this week you:
Posted a new white paper on a key issue in your industry to your website and your Facebook page.
Tweeted 3x about the new white papers
Distributed an email with a link to the new white paper to the appropriate audience
Published a summary of the white paper to 3 LinkedIn Groups
Held a webinar on the same key issue in your industry
Posted a recording of the webinar on your website, Slideshare and Facebook page
Held a tweet chat during the webinar
Tweeted the webinar recording 3x
Posted a blog on the topic to your blog
We’ll count this as 17 content activities.
For this very same content during the same week you had:
15 downloads of the white paper from your site
15 retweets of the white paper
15 Likes from your LinkedIn Groups and blog page
25 people who attended the webinar and participated in the tweet chat
15 retweets of the webinar
15 views of the recording on Slideshare
This counts as 100 total interactions. It’s both possible and likely that some of these interactions are from the same people engaging multiple times, and you may eventually want to account for this in your equation. But for starters, we can now create a content relevancy measure.
R= 100/17 = 5.88.
If we had only measured the response rate, we might have only counted the downloads and attendees, 40, so we might have had the following calculation
R = 40/17 = 2.35
The difference is significant. Over time, we can understand the relationship between the relevancy and the intended behavior, which in this example is increasing “conversations”. Tracking relevancy will enable you to :
Establish a benchmark
Set content relevancy performance targets
Model content relevancy for intended behavior