Getting into Twitter for Digital Analytics

[Originally published by IQ Workforce]

Perhaps you’ve been working in digital measurement for a few years, or maybe you’re new. You keep hearing about Twitter and wondering whether you should jump on the bandwagon. Well, you’ve come to the right place.

Why should I join Twitter?

  1. To learn: Step outside the sandbox of your own company, your own analytics solution, and your own challenges. Your eyes will be opened and you’ll start thinking about the bigger picture, and bring your what you learn back to your organisation.
  2. To engage with others: It’s a fantastic opportunity to meet and build relationships with others in the industry. You can debate, discuss challenges, throw ideas around and form connections that may benefit you in the future.
  3. Get help and help others: The web analytics community on Twitter is an amazingly generous group of people. Take @usujason or @VABeachKevin, who respond to fellow analysts’ Omniture questions on a daily basis. Oh – did I mention neither of them even work for Omniture?! Having a problem with Google Analytics? Throw it out. Others may have tackled this already and can give great advice.

So how do you get started?

  1. Create a Twitter account. You can sign up at http://twitter.com/
  2. Advice for choosing a username:
    • Twitter can be a great opportunity to create your “personal brand.” Using your name, or something close to it, is a good idea. Using your name also helps when it comes time to meet people in person, as they’ll recognize your name from your twitter username.
    • Try to keep your username separate from your current place of employment. (E.g. @TomSmith instead of @TomAtCompanyX.) If you change companies in the future, it’s easier to not have to change your Twitter username. (Obviously though, if you are using Twitter on behalf of your company, this will be different.)
    • Keep it short. Tweets are limited to 140 characters, so the longer your username, the harder it is for people to retweet you. (I can’t really throw stones here, as my username is pretty long, but at least try to keep it on the shorter side.)
  1. Set your Twitter photo (because being a Twitter new user “egg” is totally uncool.) Try to pick one that will help others identify you, should they meet you in person. That means no blurry artsy photos, or pictures taken from a mile away. It can be helpful to keep a consistent photo across networks (e.g. Twitter and Linked In) and try not to change it too often. Remember, Twitter isn’t Facebook – people don’t know you personally, so changing your photo often will often mean they suddenly don’t recognize you.
  2. Create a bio: This will tell people a little about you so they can decide whether to follow you – so make it informative.

Now for some Twitter basics:

  • Retweet: Reposting another user’s tweet, either as-is or with your own comments, indicated by using “RT” or “via.” For example, a retweet with comment might look like this: “Great article! RT @useryouareretweeting: I like this article: http://www.somearticle.com”  Keep in mind that while a retweet isn’t technically an endorsement, but it can be construed as one, so add your commentary if you are retweeting something you don’t necessarily agree with.
  • Mention: A mention involves you referencing another Twitter user. Mentions can go back and forth as you have a conversation with someone on Twitter.
  • Hashtag: Twitter users will preface a term with a # symbol to allow easy searching for tweets on the same topic. For example, “@user: I love #knitting”

Next, you’ll want to find people to follow.

A good place to start is by finding the main hashtag used by a community. For web analytics, this is the #measure hashtag. Start reading the #measure hashtag, and follow users whose content you find interesting.

You may also want to look at the hashtags for vendors you use. #Omniture (or #OMTR) is a popular one for Adobe Omniture users, but you can also check out #webtrends, #coremetrics, etc. In fact, following the vendors themselves can often be a good place to get started – most typically have a corporate Twitter account and post industry news.

Do I have to follow someone if they follow me?

No! Twitter is not reciprocal like Facebook. Just because you follow someone doesn’t mean they have to follow you, and vice versa. This makes it easy – follow someone if you want to read what they have to say. Don’t follow them if you don’t. It’s really that simple.

Keep in mind, one of the benefits of a mutual follow is that you can send each other Direct Messages (DMs.) These are 140 character messages that are “private” between you and the person sending it. However, while these messages don’t show up in a Twitter stream, applications can access DMs, so to be safe, don’t include anything truly private in them.

Start posting

There are lots of Twitter users who just lurk (read but don’t post) but to get the most out of it, start posting. Throw in your viewpoint into a discussion (if they’re happening on Twitter, they’re not private, and no one will complain that you’re butting in!) or post links to interesting content you think others would enjoy.

You can also ask questions. You would be surprised who participates in the #measure discussion and is willing to take the time to answer. You can ask questions about the analytics tool you’re using (e.g. “How do I do XYZ in #Omniture?”) or even just a general “Has anyone seen any research on XYZ?” The #measure community is an amazingly generous community who really do help each other, so start asking – and answering others.

From Twitter.com to Clients to Apps

You can choose to use Twitter via the main twitter.com site. However, many choose to use a Twitter client such as HootSuite or Tweetdeck to allow them to customize their layout. For example, you may want to be able to view your home feed (the tweets of everyone you follow) plus a list, plus a search, all side by side. Check out some of the different Twitter clients and see what strikes your fancy. You may even bounce back and forth between different clients.

There are also great apps for your smartphone or tablet. On the iPad or iPhone, my favorite is Echofon, but there is also the official Twitter app, HootSuite or Tweetdeck. On Android, I primarily use TweetCaster, but you have HootSuite, TweetDeck and many other options too. Play around with a few to see which works best for you. Most have a free version with ads. Once you find one you like, you can pay a few bucks for the premium version for ad-free tweeting.

Create lists

Once you start following users, you may choose to start creating Twitter lists. A list is a group of Twitter users that you group together. That way, you can read just content from your list, rather than from everyone you are following. For example, maybe you would have a “Web Analytics” list vs. “Social Media” vs “Email Marketing.”

I have a list called “Favs” – I follow a lot of people, but these are my “core people”, so if I’m busy and don’t have a chance to read what everyone I’m following is posting, at least I will keep up with my must-read folks. Feel free to check it out: http://twitter.com/#!/michelehinojosa/favs

“But I don’t have time!”

We’re all busy, and in the case of web analysts, normally overloaded. After all, it’s hard to hire good people so most companies are strapped for resources.

My advice if you’re “too busy”:

  1. Start small. Just follow 5-20 key people. It’s not hard to keep up with a small number.
  2. Check in regularly, for short periods of time, to break it up. It’s easier to find five minutes at a few times than an hour block of time.
  3. Mark posted articles to read later, when you have more time.
  4. Use Twitter to actually help you do your job. If you’re struggling with something, seek out help from the community. (Make sure you are abiding by your company’s social media and non-disclosure policies, of course.)
  5. Smartphones can help, by turning time you’d be wasting in a doctor’s office or waiting for a friend into valuable catch-up-on-Twitter time.

So what are you waiting for?

 

Analyzing the Impact of the Digital Fold

[Originally published on the ClickTale blog]

In the traditional world, we talk about the importance of being “above the fold”: appearing in the top half of the front page of a newspaper. However, on the web the picture is a little murkier. Website visitors will use different screen resolutions, browsers, window sizes and toolbars, essentially leading to a different “fold” line for every user.

Add in the proliferation of devices (desktop, laptop, tablet, smartphone) and the challenges are further compounded. So is there even the same impact of content being above or below the fold for online users as there is in the traditional world? Might this impact vary by user, by site, or by page?

Staying Above or Scrolling Below the Fold?

On pages such as a home page, the location of content above or below the fold may have a greater impact. After all, when a visitor arrives to a site, they need to figure out what content or products to dive deeper into. In this case, products or content areas highlighted in the top area of the page may receive higher engagement, simply due to the higher number of “eyeballs” on it during an evaluation phase.

However, the same may not hold true for deeper pages within the site, or for all-in-one landing pages. On a product detail page, where reviewing the content on the page may be crucial for making a decision to proceed to the next step, the click-through rate for a call to action at the bottom of the page could potentially be higher than a call to action at the top of the page.

Impact of Your Calls to Action

The impact of the fold may also depend on the call to action that you are measuring. For example, the ad click through rate may be affected differently by placement above or below the fold than lead submission or an Add To Cart call to action.

How To Analyze Actual Behavior

Design can play a huge role. In some cases, site design may make it clear to the user that there is content below the fold, and encourage content consumption lower on the page.

We can’t just assume the fold affects our site, or that it affects all pages in the same way. We’ll want to start by analyzing actual behavior.

1. Examine your site’s pages (or types of pages) separately. The behavior on your home page may not be the same as your landing pages or product pages. Start with your most important pages and go from there.

2. Use a traditional web analytics tool to give you an idea of the device and screen or browser size your visitors typically use, to start to understand where they see the fold on their machine. However, as you analyze, keep in mind there is no true fold – it is different for every user based on their settings.

To make the data feel more real, change your own computer settings to match your typical visitor, and encourage your creative or design team to do the same. Browse your site using these settings and you’ll get a better idea of what different visitors see and where on their screen it is located.

3. Ensure you are tracking individual calls to action on your pages in enough detail so you can understand (for example) above vs. below the fold performance. While many web analytics solutions will allow you to see if visitors moved on to the next step, if you have two calls to action on the page that link to the same next step, one above the fold and one below, you’ll want to be sure your analytics tool allows you track them separately.

4. Use an In-page analytics tool to understand interaction within your pages. While understanding click-through rate of your calls to action above and below the fold can help, that doesn’t necessarily tell you how many users actually saw the call to action.

5. Take time to segment this information. A good place to start would be the by the different screen and browser resolutions you have already examined. Try bucketing different settings, to analyze a group of visitors.

However, another consideration may be landing page. A visitor who has just landed on the page you are analyzing may be less apt to engage with content below the fold than one who has pathed to the page looking for specific content or products, and is looking to dive into detail about these.

Users looking at different products may also show different behavior. For example, a $5.99 purchase may require less engagement with product details and result in less below the fold engagement than a product that is $599.

6. Start testing. Once you have insights from these sources, you can begin to test the impact of changing them. What if you remove some of the content and make the product detail page shorter? Or move your call to action above or below the fold, or test having one above and one below? What about the left vs. right hand side of the page?

Conducting A/B or Multivariate tests of your layout, and tracking the behavior of these separately, can give you much more insight than pure analysis, because you can see the impact of actually changing things.

Overcoming the Complexity of the Digital Fold

There is definitely a complexity to be managed in analyzing the digital “fold”, but there are also great solutions out there to help us better understand user behavior within the page, and to optimize it for a better user experience and business results.