The Wonder Woman of Writing, Marcia Riefer Johnston, has recently created a fantastic infographic on how to create a sentence. If anyone knows how to break it down, she does!
For more information, check her website, Writing Rocks!
The Wonder Woman of Writing, Marcia Riefer Johnston, has recently created a fantastic infographic on how to create a sentence. If anyone knows how to break it down, she does!
For more information, check her website, Writing Rocks!

As technical communicators, we are all used to being the grammar police. More often than not, we are the ones who have to clean up the grammatical mistakes of our colleagues who are not technical communicators. It’s a dirty job, but someone has to do it. It’s part of the job description we bear in tech comm.
However, I have gotten to a point where I think we need to create a new squad that takes policing to an entirely new level. I propose that we form the Digital Literacy Squad. We are in the 21st century, for goodness’ sake, and I still see content that’s not written in a way that acknowledges that 99.9% of us are digitally literate.
Here’s an example:
For more information, contact Danielle Villegas at techcommgeekmom.com.
NO! It should be:
For more information, contact Danielle Villegas.
See what I did there? I made it a hyperlink. Simple enough, right? People generally understand that something that is a different color from the rest of the text–within context–and/or has an underline under the text is a hyperlink, and that link will take them somewhere else. This is not 1998, where we need to spell it out because the act of hyperlinking is inconsistently reliable. And there is software to help you with those spambots now.
There are some exception, but they are rare. I’m sure someone will post one of those types of exceptions in the comments. The only one I can think of is something like, “Click on the image below for more details,” if the hyperlink is not obvious to the user, or something along those lines. But in text, it’s usually VERY obvious, and that’s what annoys me.
One might think that this is something that “older” web writers do, but you would be wrong. Just today, I received a content change for a webpage I manage, and this same mistake was sent to me by a millennial. A MILLENNIAL! Someone who has been raised in the digital age and doesn’t know any differently. We are teaching everyone to write incorrectly for the communications and content that we put forth now, and that needs to change.
Just as technology is constantly changing and we need to keep up with it, we need to also keep up with how we create content for the web or other digital devices so that hyperlinking or creating some sort of action is intuitive, and doesn’t need to be spelled out anymore. People are smarter than that now. Internet access has been mainstream for more than 20 years now, and smartphones and tablets are an extension of that. We all know how to use the web, overall, now (yes, there are exceptions, but they are far and few), and we need to write for that, and keep up with those tech changes. With mobile becoming more and more pervasive, this is important because the best use of screen “real estate” is crucial! Don’t sit back and continue to write as if it’s 1999. It’s 2015 already. Keep up!
This is the kind of content editing I do on a daily basis on my job. It drives me crazy, because often the content is written by great writers who can’t seem to get this concept through their head.
This is such an easy thing to enforce, and it will raise the digital literacy of everyone on the planet.
So who’s with me? Let’s storm the castle!

Anytime I think of any kind of tech comm analytics, I don’t think of Google Analytics or Web Trends, but my mind races back to the first time I heard Mark Lewis speak and how my mind was blown at the idea that tech writing was measurable in any form. Now, a few years later, I’m looking at this latest module in my online Digital Marketing course at Rutgers about Web Analytics and ROI, as taught by Rob Peterson of the marketing firm, BarnRaisersLLC.
The idea of analytics and ROI (return on investment) sends a shiver down my spine. While I understand the function of analytics and some basics, it makes me think of complicated mathematical formulas, and that in itself makes me anxious. (I was a decent math student in school, but it was not my forté.)
Peterson started his course with a quote that I could swear I’ve heard either Mark Lewis or Joe Gollner repeat (I think it was Joe) by Peter Drucker to frame the objective, in which Drucker said, “If you can’t measure it, you can’t manage it.” So, the first question was, what is “it”? “It” could be almost anything. But Peterson feels that “it” is success–that your success (or lack thereof) is what needs to be measured. He also felt that the verbs “measure” and “manage” were the keys to understanding the material for this module.
Peterson broke down these by 6 steps to demystify web analytics:
You want to do these steps because the buying cycle has changed due to the internet. The buying “funnel” has been replaced by a flatter, more circular course of evaluation and re-evaluation before buying, but there is a subsequent loyalty to a brand after the initial buy that shortens the cycle the second time around.
Petersen then talked about how to make your digital ecosystem thrive, describing it as the intersection of earned (sharing), owned (web properties), and paid (advertising) media. People come before software in analytics, he insisted, stating that there’s a 10/90 rule for analytics, namely 10% of the marketing budget should go towards the analytics software, and 90% towards getting good people to analyze the results. We use measurement to understand our role, which is understanding the customer journey with the goal of optimizing the customer experience and find more customers.
To do this, there are several (he said 12, but I could figure out which were the specific 12) measurements to know.
First, you have to understand how consumers find you. This is primarily done through keywords and links. It was emphasized that page rank (aka “SERP”- Search Engine Rank Page) mattered because the first listed item in the ranking outweighs subsequent 5 ranks combined, usually. The metric that mattered most with paid media? He gave these two equations to show how this worked:
CPC (cost per click) = CTR (Click thru rate–this makes the click relevant)
CTR= clicks/impressions
He noted that a good conversion rate is actually low–2% is considered good!
So, once you’re at the website–now what? To analyze this, you need to look at sessions and users (which were recently renamed by Google, and formerly known as visitors and unique visits, which I understand better). Usually the period of time usually measured is looking at the last 30 days. An important metric in this is looking at the bounce rate, which is a percentage that means the number of people who only viewed one page then left. It’s important because it shows if the site is relevant or not. A good bounce rate depends on your goal or objective. If you wanted people to come to a specific page to sign up for something only on that page, then you achieved your goal, but if not, then you have to figure out why they didn’t stay. Petersen noticed that if you notice that your bounce rate is high for the wrong reasons, it’s not easy to change a bounce rate overnight.
One also has to understand where users people come from and what they do. Traffic resources are organic, direct, or paid searches, but can also be referral and social media sources.
The focus then turns on the key content (aka the webpages) by determining how many take the actions that you want. Conversion, here, is an important metric. There is the macro conversion, which is revenue generating, such as person to person, B2B, B2C, WebEx to WebEx, and the like, versus micro conversion, in which users would subscribe to the blog or a newsletter or participate by making a comment on a blog, and so on. This can also be done through word of mouth, more specifically “likes”, comments, shares, people talking about the site, followers, retweets, reviews and rating, sentiment, text analytics, and email open rate. The conversion rate is determine with this equation:
Conversion rate=(Desired outcomes/total visits) X 100
There are several online tools to help you listen that are generally free tools and work better on bigger sites, but easily available to use, according to Petersen:
The course continued by using a case study using Google Analytics. The objective of this part of the lesson was to learn what to look for and how to use it. It was pointed out that it only will look up your own company due to admin rights, and to make it work optimally, you need to get specific code and embed it in all of your page (perhaps in the header, for example) so that Google Analytics can track it correctly by the correct administrators.
The main focus in using Google Analytics is looking at the audience figures. Look at the Engagement section to see who is really spending time on your pages. It helps you to understand the bounce rate. Petersen pointed out that on average, 95% of the audience never views more than 5 pages, and 95% don’t spend anymore than 5 minutes on a website. You can also look at location for geographic data, drilling down from national to town level. The section labeled “Mobile” can let you see how the site is being accessed.
This information helps to frame the marketing “funnel” that is often talked about, which is where marketers start with the action of acquisition, narrowing the focus to engagement, which further narrows to conversion. If it circles back to the engagement, this signals that there is loyalty to the brand, and this cycle begins again.
Google Analytics can also identify how your audience finds you, which is mainly through acquisition, behavior, and e-commerce. Behavior metrics can show what pages they are going to. Channels section knows keywords even if analytics don’t tell, as it shows keywords that people are using to access the site. You can find out about keywords from the Site Search section. All this information helps us understand the conversion rate by allowing us to see what’s been bought and look at average order value if you offer goods on your site.
For better information on keywords, Google Webmaster Tools is a better choice. It can tell you if your website is set up correctly so that the webcrawlers can find you, and helps correct errors on your site, providing rich depth of information on keywords.
So, you have all this information–what do you do with it? You do a lot of testing, because it’s an activity and a philosophy in which you build and test and repeat the cycle, using lots of small steps continually. Surveys are one way to do this, as they are essentially a tool that acts as the “voice of the customer”. Surveys use simple questions regularly executed such as, “Why did you come to this website?”, “Did you find what you were looking for?”, “Would you come back?”, and “What would make your next visit better?” There is also what is known as A/B Testing, in which you show two different versions of an ad or webpage to customer groups, and then seeing which people went to the goal page based on the two different models. A third way to find out some of this data directly from customers is looking at reviews, as they help searches and sales for other customers.
This is when the talk steered towards the ROI part of the discussion. Petersen started by letting us know how much a “like” on a site was worth. Research showed that among 150 brands researched, it was worth $71.84. Fans of a brand are 28% more likely than non-fans to continue using the brand, while fans are 41% more likely than non-fans to recommend a fanned product to their friends.
What does it tell us about “Like”-ability? It tells us how we can learn from social media audiences, which can be achieved through Facebook surveys and provides sentiment analysis.
KPIs (Key Performance Indicators)are crucially important as they are the “scorecard” needed to keep a strategy on track. Petersen defined KPIs using a quote by Avinash Khaushik of Google, saying that KPIs are “Measurements that help you understand how you are doing against your objectives.” Petersen also used the quote by Laurence Peter, saying, “If you don’t know where you’re going, you’ll probably end up somewhere else.” This, Petersen decreed, is where you define the “success” using metrics to measure.
There is a difference between KPIs and metrics, namely that a KPI is a metric, but a metric is not a KPI. More specifically, KPIs:
The role of KPIs, per Petersen, is that “KPIs are an actionable scorecard that keeps your strategy on track. They enable you to manage, control, and achieve desired business results.”
How do you choose the best digital marketing measurements? Start with a KPI scorecard that compares raw numbers against progress against the percentage of change.
For example:
| Numbers | Progress | % Change | |
| Example | # of new customers | 95% complete | 22% increase in sales |
| source | CRM | project plan | P&L |
| Frequency | Monthly | quarterly | monthly |
From there, you create a dashboard for the scorecard that should include both web and offline metrics that looks something like this:
| KPI | 1st Qtr | 2nd Qtr | 3rd Qtr |
| Sales Metric #1 | |||
| Sales Metric #2 | |||
| Website Metric #1 | |||
| Website Metric #2 | |||
| Social Media Metric #1 | |||
| Social Media Metric #1 |
The KPI dashboard shows key areas and results from metrics, and can help you to figure out what the key points are to create a KPI report for management.
Some Metrics for KPI consideration:
Starting from KPIs to deriving ROI is about the “Show me the money!” You need to look at the results from latent effects to direct effects. Direct online effects usually make up 16%, latent online effects makes up 21%, while latent offline effects makes up 63% of the results.
What is ROI (Return on Investment)? The equation given for this was:
(gain from investment-cost of investment)/cost of investment ($)=ROI
ex. ($500,000-$100,000)/$100,000=400% or 4-to-1 ROI
ROI is important because it reflects the idea of good management of money. Examples of gains and investments include:
Metrics we use to create both annual and lifetime customer value and help us be better marketers include:
What ROI calculation can and can’t do:
What’s in store for the future? More data (aka BIG data) is growing exponentially coming in. “Big Data” is large amounts of data from web-browser trails, social network communications, sensor and surveillance data that form unstructured data stored in computer clouds, not servers.
The course was concluded with the statement, “It’s not the data, it’s what you do with it.”
Overall, this module was pretty good. I feel less anxious about web analytics and how to analyze the information provided, and I now have some more robust tools to use as well. The only thing I didn’t like about this module was that while Mr. Petersen was obviously knowledgeable about the topic, the structure of the module wasn’t completely clear. At the top of the course, he said from the beginning that there would be a top 12 things, but they really weren’t defined as “this is #1, this is #2, this is #3,” and so on. While there was a good progression, part of this came off as scattered because I felt like I didn’t understand how he was going from Point A to Point B and why, and no clear outline on how he planned to cover the lesson. Call it the content strategist in me, but that structure was something I just needed. Other than that, it was a module that I definitely needed for a better understanding of the topic, and the information was sound.
The last module is coming up, which looks like it will tie all the previous modules together! Until then…
I conferred with two e-learning experts to get their input about globalization and localization issues in e-learning. The following recommendations emerged.
Source: www.contentrules.com
Val Swisher of Content Rules, Inc. was kind enough to give me the opportunity to write another blog post for her! This time, it’s about creating global e-learning. I talked to experts Joe Ganci and Clark Quinn about their experiences creating e-learning for various companies, and got their insights.
There’s some good stuff here!
–techcommgeekmom
See on Scoop.it – M-learning, E-Learning, and Technical Communications
You must be logged in to post a comment.