Tag Archive | "images"

Giovanni Gallucci on Images as Content and Understanding Usage Rights

tt-giovanni-gallucci

Giovanni Gallucci is one of the most generous people Technology Translated host Scott Ellis knows when it comes to sharing his knowledge, and he’s been teaching about image usage and optimization since 2008.

Giovanni is a successful social media consultant and practitioner, videographer, and photographer. He also has a knack for pushing the boundaries of SEO.

He stays on the “light side” of SEO, but by pushing the edges, he is able to find opportunities and gain advantages that most people don’t know about.

Let’s dig in …

In this 45-minute episode of Technology Translated, host Scott Ellis and Giovanni Gallucci discuss:

  • The importance of images in your content
  • The image as content
  • Image SEO and EXIF Data
  • Where you can find images you can use on your site
  • Image usage rights
  • Audience Q&A
  • Above all else … what’s most important
  • What constitutes Fair Use
  • DPI Standards

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About the author

Rainmaker.FM

Rainmaker.FM is the premier digital marketing and sales podcast network. Get on-demand business advice from experts, whenever and wherever you want it.

The post Giovanni Gallucci on Images as Content and Understanding Usage Rights appeared first on Copyblogger.


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Google Testing Large Images In Mobile Search Results

Google is caught testing image thumbnails in the mobile search results again. This time on the left side of the snippets description.

The post Google Testing Large Images In Mobile Search Results appeared first on Search Engine Land.



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Images: How to Find and Choose High-Impact Photos

find-good-photos

Ever throw your hands up in frustration when it comes time to look for an image for your latest blog post?

Let’s start with the bad news: a terrible stock photo is worse than no photo at all.

The good news? There are more free stock photos available now than ever before!

But you have to know where to look. And you need to understand a little about image licensing, like the difference between free, royalty-free, and Creative Commons license terms. Or else that photo you use could land you in legal trouble.

In this episode of Hit Publish, host Pamela Wilson shares the best image tips from some of the people responsible for choosing images for our Copyblogger blog.

Listen in to host Pamela Wilson, plus Demian Farnworth, Robert Bruce, and Jerod Morris discuss:

  • What exactly “royalty-free” and “Creative Commons” means, and how knowing the difference could keep you out of court
  • How to “borrow” someone else’s esthetic sense if you feel like you don’t have any of your own
  • The crucial extra step you need to take when using certain “free” images you find online
  • Our favorite stock photo sites and how to use what you find there

Click Here to Listen to

Hit Publish on iTunes

Click Here to Listen on Rainmaker.FM

About the author

Rainmaker.FM

Rainmaker.FM is the premier digital marketing podcast network. Get on-demand business advice from experts, whenever and wherever you want it.

The post Images: How to Find and Choose High-Impact Photos appeared first on Copyblogger.


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Google News Now Will Crawl & Index Images Hosted Off Your Domain Name

Google News updated their image crawl process to include images hosted off the publishers domain.

The post Google News Now Will Crawl & Index Images Hosted Off Your Domain Name appeared first on Search Engine Land.



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Are Hashtags Dead? Do Tweets with Images Get More Followers? Twitter Growth Factors (and Some Excel Tips)

Posted by petebray

What factors go into determining how many Twitter followers you gain (and lose) each day?

I was driven in part by Rand Fishkin’s recent “mad scientist” experimentation that he touched on at MozCon. There, he noted that his tweets with images resulted in significant follower losses.

Do they? And what other behaviors result in more (or fewer) followers?


I’ve found some interesting gems.

Of course, it’s worth noting that aggregate, general trends don’t necessarily speak to your specific situation. In fact, as you’ll see, they’re often exactly the opposite! To that end, I want you to play along at home…

You’ve got new data!

If you’re a Moz subscriber who has had their Twitter account connected to Followerwonk for three or more months, then chances are you’ll find a new complimentary report there. (I also only computed these reports for those who have more than 50 Twitter followers, and who tweeted in at least 10% of the days analyzed.)

Once you’ve downloaded the report, please clean up the data. Look for any days with zero gains/losses that look wonky (i.e. something should be there but isn’t). These are either Twitter or Followerwonk outages. Delete them AND the day immediately following outage. This is important, as the day following outages usually has outsized gains to make up for the missing date. It can heavily skew any statistical analyses.

If you’re not a customer, no worries; this blog post highlights some pretty interesting general Twitter growth metrics.

(I am going to repeat this offer again in a few months—in fact, we may build it into Followerwonk. So subscribe now to ensure that you have plenty of social graph history for analysis. Please tweet me to let me know if you find this data useful. We may build it permanently into the product if so!)

Followerwonk has unique data for deep mining

We track social graph changes for thousands of users, and we compute new and lost followers on a daily basis. We’re one of the only companies that to do this (maybe the only one).

Sure, lots of sites compute net changes; but we track gains and losses, and we track who your new followers (or unfollowers) are. This is a huge set of data to explore to look for significant trends, to get hints as to what causes follower growth, and more.

This post is an introduction to that exploration. We’ll cover a lot more in future posts (including analyzing the types of users that you gain after specific Twitter or offline activity).

Let’s take a look.

I deeply analyzed Twitter content and compared it to follower growth (and loss)

I created a day-by-day summary of new and lost followers. My data set included roughly 800,000 “days” for over 4,000 users, and requiring analysis of millions of tweets.

The result was a large spreadsheet with a lot of content metrics.

For example, I determined the # of tweets with images, those with URLs, those that are “broadcasting” vs those that are @mentioning someone, and so on.

I did this because my hypothesis is that follower growth (and loss) is significantly impacted by the content that one tweets.

Let’s break out Excel

For all of my analyses, I use that old Microsoft stand-by: Excel.

I’d typically recommend R: It has a lot richer analytic capability. But it has a much steeper learning curve, and I wanted this blog post to be a bit of a tutorial, so Excel fits the bill.

If you’re following along at home, you’ll want to first
enable Excel’s “Analysis ToolPak.” Dunno why, but Microsoft chooses to turn it “off” by default. This add-on allows you to easily perform correlations, linear regression, and more.

Mean, median, mode, mangos…

As a first step, I like to get a lay of the land via basic descriptive statistics.

To do this in Excel, find the Data Analysis tool, and select Descriptive Statistics. Check the box labeled ”Summary statistics,” then select all of the columns with numeric data, and you will get a summary table.

(Of course, sometimes scientific notation is hard to read at a glance. To remedy, I highlight all of the numeric cells, right click, and select “Format Cells.” Then I change it to “Number” with 4 decimal places.)

Remember, this is analyzing 800,000 days across several thousand Twitter users. We see that the average daily account growth in new followers is about 0.2%, while the average daily account loss is 0.1%.

By the way, it’s worth pointing out that this isn’t necessarily a representative sample. It’s an aggregate of mostly Moz/Followerwonk customers. And it spans the range from very big Twitter accounts, to very small ones (where getting a few new followers will result in outsize daily % gains).

What correlates with what?

I select Data Analysis and choose “correlation.” I select all of the numeric columns as the input range.

I get a nice table of results!

There’s some interesting stuff here:

  • Weekends correlate slightly with fewer tweets and activity across the board. That makes sense.
  • Broadcast tweets (that is, those that don’t begin with an @mention) correlate highly with tweets with hashtags. Approximately 45% of broadcast tweets in our sample contain hashtags.
  • Tweets with images correlate moderately with tweets with hashtags and with URLs. And, in turn, tweets with hashtags correlate moderately with tweets with URLs. This also makes sense. In many ways, images, hashtags, and URLs are all facets of marketing. When a user employs one, he is likely to employ the other two.

Of course, the relationships between tweets with URLs and tweets with hashtags is fairly simple.

It’s a lot harder to understand, for example, what variables predict follower growth (or follower loss). After all, there are a ton of different factors at play. And, as we see from the correlation chart, only a few things stand out.

First, pay attention to the percentage daily growth of followers compared to follower loss.

Just eyeballing, you can see that people are gaining followers at roughly twice the rate that they’re losing them. (The strange diagonal lines are a side effect of small accounts gaining and losing 1 follower in a day.)

Also, take a look at RT rate and favorite rates compared to follower growth. The correlations are pretty low at less than 0.1%, but you can definitely make out a bit of a trend.

This relationship makes sense to me. RTs and favorites reflects a tweet’s value and virulence. The better the content (presumably) the more likely it will be RTed. And the more RTs it gets, the more likely that user will reach non-followers, who may then decide to follow.

The problem with correlations, though, is it’s hard to see through the noise. So many factors contribute to growth.

What we want to do is look at a variable and “strip out” all other variables’ influences.

Enter linear regression

Regression lets us use multiple independent variables at once: day of the week, time of day, type of tweet, whether it has a URL, and so on. It then isolates each one, stripping out any “interference” from the others, to test their predictive value to the dependent variable. This lets us test each variable in its pure form.

In our case, the dependent variable is the daily % followers up (or down). This variable depends on the others. (Well, that’s our hypothesis, in any case.)

It’s quite easy to perform linear regression in Excel.

Select the Data ribbon. Click on Data Analysis. Select “Regression”. Then, for the Y Range, enter the dependent variable: namely, the % followers up column. For the X range, enter all the other columns (up to 16). Select “labels” to tell Excel that the first row contains labels to name each variable. Then hit Ok.

I first played around with the daily % gain.

Adjusted R Square is the statistic to pay attention to. Here, it tells us that our model explains over 4% of the variation in new followers.

Doesn’t sound like much, right? But, actually, it is!

Consider if you were able to explain 4% of stock market movement. Or interest rates.

Remember, too, that this is across thousands of users and 800,000 combined days.

So what’s moving the needle here?

Pay attention to the ones I’ve highlighted. Look at the coefficients: these tell us the impact that a one-unit move in the independent variable has on the dependent variable.

By way of explanation, consider that the average daily follower growth for a user is 0.00196 (or 0.196%). On weekends, we can expect a drop of 0.000453. That doesn’t sound like much, but that amounts to a 23% drop in follower growth!

Of course, while you don’t want to mistake correlation for causation, you might take some general lessons from this analysis in terms of follower growth:

Each additional tweet with an image or hashtag corresponds to a 2% increase in new followers.

This makes intuitive sense. The use of hashtags (found in 45% of broadcast tweets) exposes content to others it might not normally reach. Similarly, images make content more attractive for casual viewers of one’s account.

Each additional retweet a user makes is associated with 4% more new followers.

It’s hard to know why there’s such a strong relationship with this one. And, by the way, I am talking about retweets a user makes of others (not ones his content earns from others). I suspect it’s because RT’d content is typically better-than-average content. It probably makes one’s timeline more attractive to previewing users, and may result in RTs of the RT (thereby exposing you to a new audience). Moreover, the attachment of one’s name and avatar (both on the RT itself, as well as associated with the originating user) likely accrues additional views.

Engaging with others is associated with 6% more new followers.

This confirms that Twitter shouldn’t just be a broadcast medium: that it’s important to engage and respond. It likely increases your overall RTs, exposes your content to others (via those watching the engagement from others’ timelines), and more. However, in our analysis, the out-sized gains may be “artificially” inflated by the accounts in our analysis that have zero engagement. These somewhat spammy accounts simply broadcast out links and other flotsam, and are therefore associated with far fewer new followers.

Each additional tweet with a URL is associated with fewer new followers.

Do links really add a ton of value to your followers? Particularly if that content is already ricocheted all over one’s existing network? Probably not. And so it may turn off new followers. As well, see my theory above. Tweets with URLs are the mainstay of spammy accounts. To the extent that our analysis included these users, the association between fewer followers and URL tweets is strengthened.

Weekends are terrible: you can expect 23% fewer new followers.

Save those tweets for the weekday!

Creating great content (and therefore getting RTs and favorites) is good.

Kinda obvious. But it’s nice to see this confirmed. There are strong associations with more new followers and retweets and favorites of your content. These actions, and retweets particularly, hint at the importance of virulence: the more RTs you get, the more exposure your content has to potential followers outside your network.

These are just general rules after analyzing many 1000s of days and users.

Things change dramatically when you analyze specific users. Through regression, and a bit of trial and error, you can uncover some pretty magical growth factors. (Well, I consider them magic anyway.)

Enter Rand: Do his image tweets result in fewer followers? What about conferences?

I used linear regression on just Rand’s data: his daily follower growth and tweeting metrics. Here are the results:

We can explain 15% of Rand’s daily follower growth variation in our model! This makes sense, because it’s custom tailored to Rand and so will fit better than the one-size-fits-all model from the aggregate analysis.

There are two standouts:

  • On weekends, Rand can expect a 22% decline in new followers.
  • Each additional image Rand tweeted associates with a 4.6% drop in new followers.

This confirms Rand’s own experiment: when he purposely spent a few days tweeting travel-related images. Perhaps these tweets were too off-topic? Or maybe his sudden change in tweeting behavior is to blame?

As he points out, it’s interesting that RTs and favorites of his tweets aren’t associated with new followers for him.

After all, in our general analysis, we do see that they play a significant role for most folks. Perhaps Rand’s retweeters are typically the same people over and over? Or in the same universe of folks who already follow Rand? (Thus he gets exposure to few new folks.) Interesting considerations for future research.

Rand hinted at something else in his email: that he feels that conferences are the real growth driver for him.

And he’s right!

I coded the days Rand spoke at conferences. Adding this variable (and removing a few others) bumps Adjusted R Square up to 20%. Conferences account for a notable part of the variation in Rand’s follower growth.

Yep: every time Rand speaks at a conference, we see an associated 31% greater daily growth in new followers. (Incidentally, I also analyzed days Rand did White Board Fridays, and these weren’t significant.) 

What’s cool about using regression is you can test hunches such as this. If you look at the arrows in the chart above, it’s not immediately clear that those days are “more” than others. Remember, after all, that a ton of other factors contribute to each day’s gains (or losses). Through regression, we’re able to strip out influences from other variables, and focus just on one influence.

In the analysis of your data, maybe you want to code different events you attend? Or days when you make a blog post? To do so, just create a new column in the spreadsheet. Mark each day as a 0 when you didn’t write a blog post (or whatever); and a 1 when you did. Then include this in your regression as one of the independent variables.

Time to get negative? What drives follower losses?

So far I’ve highlighted what drives follower growth.

But we can also run regressions on follower loss. Remember, in Followerwonk, we track new followers and lost followers separately. Follower losses are those users who unfollowed you on a given day. Simply use as your dependent variable the follower loss column. And, as we did before, all of the others as your independent variables.

Here’s a really interesting one for a major sports team.

We can explain 22% of their follower loss in our model.

Notably:

  • Each broadcast tweet is associated with a smaller follower loss of 1.4%. Broadcasting tweets are good. As are RTs and contact tweets with others.
  • Hashtags and URLs perhaps turn their users away? They are associated with significantly more follower losses: particularly for links!

I also encoded when they won or lost games. Winning games had little effect.

But for each losing game, their follower loss increased by 56%! That might seem kinda obvious: but not necessarily. Since games are typically on weekends, you might assume that follower loss is simply a “weekend effect.” Via regression, though, we know it’s not. That losing days are significantly associated with losing followers.

Key takeaways

  • The types of content you tweet have significant impacts on attracting and keeping followers.
  • Hashtags probably aren’t dead.
  • Each tweet that includes an image, has a hashtag, is a retweet, or mentions someone associates with 2-6% more daily followers.
  • Just as it does with Rand, your account will likely have individualized factors that move the needle for you.
  • You can explore these via Excel! Check your Followerwonk account for a complimentary spreadsheet of your Twitter activity.
  • Don’t forget to follow me @petebray so that I can test whether this blog post significantly moves my follower count! :)  And let me know what you uncover.

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Use Images (Not Just Words) to Turn Your Distracted Visitors into Engaged Readers

woman taking iPhone photo

If you have kids — or if you’ve ever been around kids — you’ve heard the sound before.

It’s a noise that’s somewhere between the cry of a lost wolf cub and the wail of a nearby car alarm. It’s one of the most annoying sounds you’ll ever hear.

It’s the ear-piercing cry of a child who has been over-stimulated.

The angelic child becomes a hot mess of whiny, clingy neediness.

If you’re the adult in charge and you manage to keep a cool head, you say something like, “Calm down. I don’t understand what you need. Use your words.”

And sometimes it works. It stops children long enough to engage their brains rather than just their emotions, and they are able to communicate what they need.

As consumers of information online, we’re a little like that over-stimulated child.

But as producers of online content, one of the worst things we can do is throw more words at our readers. Because the best way to reach an over-stimulated population is to offer something different. How do we do that?

I propose you offer an image.

We are visual people

More than half the surface of the brain is reserved for processing visual information.

With that much brain power behind understanding visuals, it makes sense to harness the power of images to communicate our messages.

Besides, we all know we’re drowning in words.

So. Much. Content.

Not. Enough. Time.

Fortunately, images are processed in a different part of our brains than words. Using them gives the over-stimulated, word-crunching parts of our brains a break. And images will help your carefully crafted words attract and hold attention and have more impact.

Harness the power of images

We’re living in an amazing time for people with the courage to learn new skills online. There are tools and resources available to all of us — many of them free — that would have been unimaginable 10 years ago.

Let’s review some of our options when it comes to image creation, starting with the pure DIY track.

Make your own images

Most of us are walking around with powerful cameras right on our phones.

You may feel like you’re not a competent photographer, but consistently using a service like Instagram can increase your confidence.

Instagram’s square format forces you to focus on the most important elements in your viewfinder, and the easy-to-apply effects make even ordinary photos more interesting.

A content marketing bonus? You can set up your account so it posts to Instagram, Twitter, and Facebook all at once. That’s what I call social media efficiency.

When looking for images to use in your blog posts and email marketing, think beyond images with people. Focus on showing the telling details instead.

For example, zoom in on the tools you use to do your work, whether they’re machines, computers, paintbrushes, or a big stack of books. Let viewers into your world by sharing close-ups from your environment.

Enlist stock photos

Stock photo sites are pretty amazing. I still remember the days when stock photo catalogs would arrive at the design studio where I worked in the early days of my career. They were bulky, unwieldy, and printed on paper. (Can you imagine?)

Plus, those stock photos each cost several hundred dollars, and the exact prices depended on how you would use the images. Once you received an image, which came in slide form, you had to pay to have it scanned and converted so you could use it in print.

Now, we have access to thousands of searchable, inexpensive stock images on sites such as:

And there are plenty of free stock image sites, too. Here are a few of my favorites:

To use photos from these sites for business purposes, be sure to review and respect any licenses associated with the images. And steer clear of the obvious, overused images and lame visual clichés.

Modify images with easy-to-use online tools

Unless you purchase exclusive rights to a stock image, you won’t be the only person using it.

The solution? Modify the image — add a filter, crop it creatively, or add text to it. My favorite sites for editing images are:

Remember, you want your image to be easy to “read” visually. Use filters that enhance, not obliterate, the original image.

If you decide to add text, use a clear, high-contrast font so the message can be read and understood in a single glance.

Dig into Flickr’s Creative Commons

Flickr has a deep well of images by photographers who’ve agreed to share their photos on a Creative Commons license. You’ll notice you see many Flickr images on Copyblogger. They take longer to find, but if you take the time they often bring a creativity that can be hard to find on the stock sites.

Searching Flickr by “Creative Commons” allows you to look through photos with a variety of licenses that allow you to share, adapt, or even use for commercial purposes. Be sure you understand what rights you have — and don’t have — for a given image. The broadest license is “Attribution Only,” which needs only credit and a link to the creator.

Keep in mind that it it takes time to find the great photos in the sea of amateur images. Copyblogger likes to build relationships with exceptional photographers on Flickr, in some cases even those who retain copyright of their work. The photographer gets a wider audience, and Copyblogger gets fantastic images. It’s a win-win.

Lead with an image

Our brains also process images faster than words.

Way faster.

Visual information is processed 60,000 times faster than text.

Images at the top of blog posts work so well because they make an immediate impact and open the door to the rest of the information you present.

When you choose your image carefully, it can add shades of meaning to your content.

Look for images beyond typical stock photo fare. Avoid overly posed and polished images that feature professional models. Aim to find images that feature everyday people.

Avoid the obvious, and go for subtlety.

Get radical: consider only using images

Sometimes, an image can stand alone– whether it’s on your blog or social media.

Take, for example, this popular infographic here on Copyblogger: 11 Essential Ingredients Every Blog Post Needs.

It’s strongly visual content (paired, of course, with some well-chosen words), and as of this writing it has been shared more than 3,000 times on Twitter.

If you want to stretch this idea a bit, video is another format for sharing compelling content.

Think outside the word box

The next time you need a direct line to the inside of your prospects’ brains, consider an image.

If you’d like to chat more about how to use images to communicate your message, click over to Google+, and we’ll compare notes there.

Editor’s Note: If you are excited to learn more about how incorporating images increases the impact of your blog posts, we recommend you read this post by Alex Turnbull next: The 8 Types of Images That Increase the Psychological Impact of Your Content.

Image via Death to the Stock Photo.

About the Author: Pamela Wilson founded Big Brand System to empower small business owners with marketing and design information that gives their businesses an edge. Want to learn more about using images to communicate? Sign up for the free 12 Days of Visual Buzz series here.

The post Use Images (Not Just Words) to Turn Your Distracted Visitors into Engaged Readers appeared first on Copyblogger.

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The 8 Types of Images That Increase the Psychological Impact of Your Content

Close-up images of old school cameras

The importance of using images in blogging goes far beyond “looking nice.”

It’s actually deeply psychological.

For one thing, your brain (and your reader’s brain) is better at processing visuals than text. In fact, 90 percent of the information that our brain gets is visual, and it processes that information 60,000 times faster than text.

And visuals, when they complement your text, help your message connect: 40 percent of people will respond better to visual information than to text.

Read on to learn about the eight most effective types of images, and where to find them online.

We’ll start with one you may turn your nose up at initially, but hear me out …

1. Stock photos

There’s a lot more to stock photos than business guys in suits walking along growth charts.

Used correctly, stock photos can elicit real emotions in your readers. This can be especially helpful at the beginning of your post, where you’re trying to set the scene for the message you’re about to deliver.

See how Sean Smith’s post on Copyblogger starts with a powerful image that immediately brings to mind focus? That’s exactly what Sean’s post is about

focus

Where to get stock photos:

2. Screenshots

Screenshots are a great example of showing instead of telling.

Sure, you could tell your readers about the email you got. Or, you could show them, and let them see it for themselves, while adding authenticity and a visual break to your post.

Here’s an example from Ramit Sethi.

crazy-email

Of course he could simply say “I get some crazy emails from people.”

But that wouldn’t be nearly as powerful, interesting, or engaging.

Where to get screenshots: Use a tool that makes taking, storing, and sharing screenshots easy; I prefer Snagit, available for both Mac and PC.

3. Charts and graphs

Given the complexity of most statistics and reports, using images is the best way to convey quantified data.

Especially if it’s something that you want to stick with your reader, because we remember images much better than we remember words.

In a KISSmetrics post about A/B testing, Will Kurt uses graphs to clearly illustrate the difference between the results achieved by “scientist” marketers and “impatient” ones:

scientist-vs-impatient

Where to get charts and graphs: If the visual you want doesn’t already exist in the reporting tools of your analytics app, you can easily create charts and graphs using Spreadsheets in Google Drive.

4. Personal photos

When you’re telling a personal story, using an image — even one shot on a cell phone camera — can make it connect on a deeper level.

Photos can make your readers feel like they’re there with you.

Chris Guillebeau, world traveler and entrepreneur, gets a lot of questions about his packing lists. But instead of just posting a checklist of items, he takes us through his list in a much more interesting way.

telling-personal-story

Where to get personal photos: You’ll have to take these yourself, of course. One important thing to note, though: don’t get hung up on image quality here. Often, a grainy cell phone shot will do just fine, and could even add authenticity to the story you’re trying to tell.

5. Still frames from TV shows or movies

This is one of my favorites, and one that we use on the Groove blog quite a bit.

Pop culture images latch on to connections that your readers already have with a particular movie or TV show, so the emotions are much easier to draw out.

I’m a big fan of Breaking Bad, so that’s one that we lean on in posts like this one.

desperate-for-cash

Where to get TV/movie still frames: Perhaps surprisingly, Google Image Search is my favorite source for these. For example, typing in “Breaking Bad money” leads to hundreds of great results.

6. Infographics

Especially useful for breaking down big multi-lesson message and research findings, infographics make large amounts of data digestible.

They can also be — and often are — shareable content in their own right.

Neil Patel at Quick Sprout uses infographics in a lot of his posts; notice how in this one about calculating the ROI of SEO campaigns, he delivers a valuable blog post and a valuable standalone infographic at the same time.

buying-cycle

Where to get infographics:

  • infogr.am is a free web tool that lets you create infographics quickly and easily.
  • If you don’t want to take the DIY route — and are willing to pay — try Visual.ly.

7. Custom art

Sometimes, the images you want to include in your post don’t exist.

Fortunately, that’s not a reason to not use them.

The cost of custom art doesn’t have to be high, and you don’t need to have a designer on staff to create it.

Buffer uses custom art often, like in this post where they share a valuable headline writing formula:

ultimate-headline

Where to get custom art: I’ve had great success with freelance marketplaces like oDesk, where you can post a task for the design job you want, and designers bid on the project.

8. Comics

Laughter is a powerful emotional reaction to elicit from a reader, and comics are a great way to do it.

In The Most Entertaining Guide To Landing Page Optimization You’ll Ever Read, a guest post on the Moz blog by Unbounce co-founder Oli Gardner, Oli uses a comic to illustrate a point about paying attention:

pay-attention

Where to get comics:

(Note that different sites will have different rules for licensing and distribution; some will allow free use with attribution, while others require licensing fees. Always respect the distribution rules that each artist imposes on his or her work.)

Now it’s your turn

The research is clear: images are a super effective way to make your blog posts more interesting, useful, and valuable to your readers.

And now, I hope that this blog post has given you ideas for how to incorporate imagery in your content, and where to source it.

If you’re not already using images — or not using them to their full potential — give it a try. You may be surprised by just how powerful a picture can be.

How are you using images already? Which idea(s) from this post are you excited to try next? Join the discussion on Google+ and let us know.

Editor’s note: If you found this piece useful, we recommend this episode of The Lede: How to Choose Arresting Images for Your Blog Posts (And Why You Should).

Image credit: Mario Calvo via unsplash.

About the Author: Alex Turnbull is the CEO and Founder of Groove (an easier way to handle customer support) who loves to build startups and surf. Read his latest posts or follow him on Twitter.

The post The 8 Types of Images That Increase the Psychological Impact of Your Content appeared first on Copyblogger.

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