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By Ali Luke

When I started blogging in 2008, there was a (roughly) agreed-on standard for blog posts: you should post around 500 words every weekday.

Now that I look back on that, it seems pretty silly. Some topics can be adequately covered in 300 words, while others might need 5,000. And some bloggers have a naturally terse writing style, whereas others like to dig deep and give lots of examples.

Around the end of 2013, long-form content became much more popular in the blogging world. (Here’s Darren’s post about ProBlogger’s own experiments with writing longer posts.) Then, as now, it seemed clear that Google had a preference for in-depth content.

But during the past few years, short pieces of content have become increasingly popular as well. Twitter, for instance, is often described as a “microblogging” platform. While plenty of people use it for general conversations or promotional tweets, others do use it in a blog-style way. Take a look at James Breakwell (@XplodingUnicorn)’s brilliant tweets about family life, for instance.

Lots of blogs also carry relatively short posts. Gizmodo is a good example, with very frequent news / time-sensitive posts. For instance, eBay is Knocking 15% Off Everything Just for Today was 168 words.

So should you write short posts, long posts, or something in between?

The answer is, as you might have guessed, it depends. You need to find a post length that suits your content, your readers, and (perhaps most importantly) you as a blogger.

But before we dig into those considerations, let’s take a quick look at length vs frequency.

Blog Post Length vs Frequency

While it’s not a rule, blogs that publish short posts usually publish them more frequently than blogs that publish long posts.

You can see why this makes sense for both the blogger and the reader. You might publish a 400-word post every weekday, or a 2000-word post once a week.

If you want to increase the length of your blog posts, you might also want to decrease how often you publish them. Otherwise you’ll burn out, and your readers will get overwhelmed.

(Sidenote: I’ve never unsubscribed from a blog because they posted less frequently than I wanted. However, I have unsubscribed from blogs that posted too frequently, especially if the quality of posts wasn’t consistent.)

So, with the caveat that changing the length of your content will likely mean changing the frequency too, here are some key considerations when thinking about how long your blog posts should be.

What Suits Your Content?

Some topics pretty much demand in-depth posts. If you’re writing about something that involves lots of different steps, such as “How to start a blog”, it’s probably not going to be short.

But other topics work best with short content. This is particularly the case for blogs that aim to entertain rather than inform. Readers may delight in reading lots of short anecdotes about your kids, but be put off by a rambling story.

Of course, you probably have a bit of flexibility on how exactly you approach your topic. So if you feel you want to write short posts rather than in-depth ones, come up with post ideas that would work for that. Instead of “How to start a blog”, you might write “How to register a domain name” or even “What is a domain name?”

What Suits Your Readers?

The next key consideration is whether your readers would prefer shorter or longer posts. If you already have a reasonable number of readers, you could survey them to find out. You could also take a look at your most popular posts in Google Analytics, or the posts that get the most comments or shares. Does short or long content seem to resonate better with your audience?

You might potentially find that your readers like a mix of posts. Maybe they want fairly short and to-the-point posts most of the time, with a much longer piece of content occasionally thrown in.

What Suits You?

Last, but certainly not least, comes… you. Are you the sort of writer who naturally produces concise, impactful posts like Seth Godin does? Or do you love to dig into a topic and write a post that covers every angle?

If you’ve been trying to write long posts but struggling to stay motivated and productive, it could be a sign you’re better suited to sharing short, succinct pieces of content instead. On the other hand, if you’ve been writing three or more short pieces every week and it feels like you’re on a content treadmill, writing one long piece every week or even every couple of weeks might work better for you.

The great thing about blogging is there are no “rules” on how a blog post should look. You’re free to write 10,000-word epic guides (such as Neil Patel’s Online Marketing Made Simple: A Step-by-Step Guide), or posts with only a few words and mostly pictures or embedded tweets (such as Buzzfeed’s 19 Hilarious Back-To-School Tweets From Parents Who Have Been There), or anything in between.

Quick note: If you’re concerned about the SEO benefits of short vs long content, it’s worth knowing that many experts believe longer content does better on Google. However, if you and your existing readers prefer short posts, don’t force yourself to create long content. It will  only rank well if it’s really good (and gets backlinks).

So what sort of content will you create: short or long? It’s completely up to you. Have a look around and see what others are doing, experiment with different lengths yourself, or come and discuss short vs long in the ProBlogger Community.

Image Credit: Markus Spiske

 

By Ali Luke

Sourced from PROBLOGGER

By Pierre DeBois

Marketers may have once doubted the possibility of doing so, but there’s no doubt today that retailer interest in social commerce is rising, and has been rising steadily over the years as social became an important part of the mobile nexus, along with the willingness to make purchases via mobile. For example, Business Insider reported last year that the top 500 retailers earned $3.3 billion from social shopping in 2014, a 26 percent increase over 2013.

The result? Consumer interest in products and services is leading to sales, as customers are becoming more comfortable using their phones for online purchases or to complete purchases in-store. How then should marketers and retailers think about marketing for each social media platform? Here are a few observations that can strengthen your strategy development.

Facebook

The largest social media platform has been refining user options for expressing themselves—from emoticons to live video.  Marketers can best leverage Facebook through video by using Facebook Live to speak with business page followers. Many businesses of all scales, such as The Bassline Group in Chicago, use video to connect with customers regularly.

Here are some ideas for Facebook Live content:

  • Product launches and demonstrations: Comments from followers can provide feedback that can become valuable insights when a new product is being revealed.
  • Customer service sessions: Troubleshooting problems with devices or products can incorporate responses from followers, treating it as as face-to-face with a real person.
  • Q&A sessions: Q & A sessions offer opportunities to build customer rapport and trust. Marketers can invite experts to help answer product or service questions from your customers.

Many of these ideas can be conducted through a video platform. Using Facebook Live from a mobile device requires the Pages Manager App.

Facebook is also a dominant advertising platform among social media platforms.  Ads enhance strategy in conveying messages to customers, and Facebook ads have been effective in reach, especially in mobile.  Marketers should look to use Facebook ads as a means to connect to customers on the go.

Marketers can also look forward to more Facebook refinements, and for good reason. Marketing Land reported that Facebook will reach maximum News Feed ad load during 2017. This means Facebook must experiment with new ways to deliver ads and other marketing features to continue its revenue growth.

Twitter

Twitter has always been a means for connecting to people outside of a customer base. Past social media strategies have suggested that Facebook pages tend to attract customers familiar with your brand, while Twitter profiles tend to attract people who are seeking your products and services, consequently discovering your business.

Twitter has striven to provide features that deepen engagement.   Industry analysts have been critical of recent trends that suggest waning user interest in Twitter.   Brands interested in immersive advertising experiences have demanded more segmentation features.  In response Twitter has introduced ad groups, a campaign feature that customizes according to segment. It has revised its analytics dashboard to improve campaign measurement.

Marketers should also consider Twitter as an opportunity to provide customer service.  According to Twitter,  an Applied Marketing Science study confirmed that customer service on Twitter influences sales. Providing customer service through social channels like Twitter can be a fast way to connect to customers and let them know that their needs are indeed heard.  But marketers must verify that customers are comfortable using Twitter before initiating or expanding customer service resources.

Pinterest

Pinterest has become a search engine, according to Marketing Land. Users pin Pinterest images after discovering products, services, and brands they like the most. This planning reflects the potential of future purchases.

Marketers can strategize on this behavior by creating a preview board in Pinterest—teaser images and ideas that let followers know about what’s to come.  YouTube videos can also be embedded in a pin—at the top of this article is one I made for a presentation as an example.  Cultivating a preview board keeps users engaged and builds a following that eventually leads to sales.

Instagram

Retailers and brands are discovering how inspirational posts on Instagram can raise branding impact. New tools, such as Instagram Analytics, are starting to help marketers manage that impact. These tools are meant to leverage the best aspect of Instagram—presenting unique images and video that show how a product or service is used among consumers, or reflect the quality of a product.

The content can range from lifestyle associations, such as hiking with Timberland boots, or showing how boots are manufactured to exacting standards. Overall, images should augment the imaginative connection customers have with brands.

Supplementing Social Media Strategy With Analytic Tools Is Now A Must

No matter what combination of social media is used, marketers should also examine advanced dashboards options that blend social media data into a central graph.  Options run the gamut from Supermetrics—a service that lets you pull data from an Excel sheet into Google Data Studio and then into a dashboard.  R programming models can also be used to predict trends. These tools can determine which platforms are best in referring traffic to retailers’ websites and apps.

Can you sell products in social media?  Customer response appears to make that answer an emphatic “Yes!”  But it is up to marketers to make sure they listen to how that yes is expressed, and use that knowledge to inform their social strategy.

By Pierre DeBois

Sourced from DMN Data. Strategy. Technology.

By

In the Google Marketing Platform, Audiences are how we pass collections of users between tools – like sharing a Google Analytics audience with Google Ads, Google Display & Video 360, or Google Optimize. While there are many ways to accomplish the same objective, using simple audience definitions in Google Analytics can improve your flexibility and accuracy when remarketing to users through Google Ads.

By keeping each audience definition modular and relying on tool-specific features, you can avoid situations that waste your money and annoy users.

What is a Google Ads Audience?

Remarking audiences in Google Ads allow you to target specific users based on a set of criteria you get to define. These audiences can be created in Google Ads or they can be created in and imported from Google Analytics.

You can then use multiple audience definitions when targeting a remarketing audience in Google Ads. For example, you could create 2 separate audiences in GA. Then in Google Ads, you could target a remarketing audience that includes everyone from the first audience and excludes everyone from the second.

This post by Michael explains in detail how to set up audiences in Google Analytics and how to import them into Google Ads.

Tell Me If This Sounds Familiar

Perhaps you’ve been in this situation: 1) You’re shopping for something online. 2) You buy that thing. 3) You proceed to get bombarded by ads for that thing. A quick search shows this is not a unique problem.

How Does This Happen

Anecdotally, I think most of can recall to a time that advertising has failed – which seems particularly infuriating in digital platforms where we expect/hope there’s a greater form of the good kind of personalization. While there are many reasons why search and display advertising can fail, one particularly manageable problem is how people define the audiences they target.

There are more advanced retargeting methods for ecommerce websites, like dynamic remarketing, but let’s go through an example where we might need to remarket to someone who visited a valuable page on our site – either a service or product that we’re trying to promote.

Say you want to remarket a specific product to users who have added that product to their cart but did not purchase it. You could include all of those criteria in a single audience definition and use it to create your remarketing audience in Google Ads:

complex segment

The problem arises when a user comes back and ultimately purchases the product – whether they return later that day or two weeks from now, they’re still going to be in that remarketing audience because, at one time, they abandoned that product in their cart. Meeting the criteria of the audience adds them to the audience, but purchasing the product does not remove them from the list.

BUT IT CAN – as long as you have your remarketing audience set up correctly.

Streamlining Your Audience Definitions

The solution to the audience issue can be simple: rework your audience definition into something that isn’t so specific.

You can and will have audience definitions that involve multiple criteria, but you need to think through the definition to make sure you aren’t trapping users in a remarketing loop.

To remedy the situation I’ve created above, define one audience that includes all users who added that product to their cart:

simple segment: add to cart

Then, create a separate audience for users who purchased that product:

simple segment: transaction

When creating your remarketing audience in Google Ads, you can include all users from the add to cart audience and exclude all users that are in the transaction audience.

Voilà: a remarketing audience that automatically removes users who have purchased that product.

shopping

Every Coin Has Two Sides

There’s a second principle that we should all adopt, and this applies to almost every problem we try to solve. When we attempt to target an ad to users by creating an audience to target, we need to answer both questions: Who should see this Ad? as well as Who should not see this Ad? These questions can help guide the audience creation and setup inside of Google Ads.

This applies to other challenges as well – when we’re adding tagging to certain pages on our site or creating experiment targeting in Google Optimize, we have to answer similar questions or we’ll end overcounting our conversions or showing our experiments to too many people.

Complicated Audience Definitions are a Bad Idea, Cont.

If you aren’t convinced by the lone scenario above, we have a few more reasons complex audience definitions are a bad idea.

1. Your audiences don’t collect enough cookies to be useful.

If your audience applies to just 3 people it is way too specific. You want/need to find that balance between targeting the most appropriate groups while also collecting enough cookies.

Bigger audiences are better. Audiences with 1,000 cookies can be used anywhere. Less than that, and they can only be used in display.

2. You think you’re targeting one group of users when, really, you’re targeting this other group.

The example I’ve given above applies here. You were inadvertently keeping users who had purchased the product in that remarketing audience.

This can cause the data your collecting (or at the very least your interpretation of that data) to be incorrect. It can also waste money.

3. You end up with a million audience definitions.

If your audience definition is specific, chances are you’re going to end up with a lot of those very specific audiences.

Keep in mind: once an audience has been created, it can’t be deleted – it can only be closed.

Additional Tips

Evaluate the data before you create the audience. Set up your audience as a segment in GA first to ensure you aren’t running into any of the issues above. You can either look at the segment preview or apply that segment to your GA reports and click around to see if the data the segment is pulling in makes sense.

“I think people also try to make audiences very specific because they forget that they are able to combine it with targeting native to the tools or other dynamic elements. Dynamic attributes instead of product-level audiences help to scale. Targeting in conjunction with keyword and topic targets helps to contextualize ads.”

Stephen Kapusta

Shoutout to my colleague Stephen Kapusta for contributing to this post!

By

Sourced from LunaMetrics

You might soon be seeing less of that “skip ad” button over on YouTube.

In a video titled Want to earn more money from ad revenue?, posted on the platform’s official Creator Insider channel, YouTube announced a big change for its YouTube Partners.

Any channel that can monetize its videos will soon be able to implement non-skippable ads. Previously, as mentioned in the video, only select YouTube channels were able to run non-skippable ads.

In the video announcement, YouTube points out that advertisers pay more money for non-skippable advertisements, which in turn means more money for the creators who run these ads.

Earlier this year, YouTube set the maximum video length for non-skippable ads at 15-20 seconds, depending on a viewer’s location.

YouTube seems to be pushing its non-skippable ads as the preferred ad format over TrueView, ads viewers can skip after 5 seconds. Older video content that has TrueView ads enabled will be switched over to non-skippable ads by default, even if a channel wasn’t previously eligible for non-skippable ads. This means that if YouTube creators want their viewers to still be able skip ads on their video archives, they need to take action and switch the default or change the video ad settings in bulk.

While more money for creators obviously sounds good, a number of commenters on the video announcement point out that their audiences might completely click away from their video instead of waiting for the non-skippable ad to finish, thus denying them any ad revenue from that viewer at all.

Reached for comment, a YouTube spokesperson pointed Mashable to a support page detailing how creators can have control, somewhat, over what type of ads run on their videos. Via Adsense, they can block specific advertisers as well as entire ad categories. Creators will also be able to track non-skippable ad performance in their YouTube analytics to determine whether this ad format is best for monetizing their audience.

Sourced from Mashable

By Katharine Schwab

Picular analyses the top Google image search results to suggest colours that relate to any topic you search for.

A new design tool called Picular is built around an unlikely data source: Google image search.

Picular is a new color search tool that lets you enter any search term and presents you with a slew of options, basing all of its color choices on what pops up first in Google image search. It’s a color-picker, courtesy of internet hive mind.

[Image: Future Memories]

For instance, if you type the word “desert” into Picular’s search bar, the tool scrapes the top 20 image results from Google and finds the most dominant color in each image. It presents these results in a series of tiles: A sea of sandy browns and oranges, with a few blues (presumably from the sky) thrown in. Each tile has the color’s RGB code that instantly copies to your clipboard when you click on the tile, making it easy to instantly try out the colors in your work.

[Image: Future Memories]

Picular is a quick and handy way to get color ideas for a design project, especially because you can type in more emotional, evocative words and see what Google instantly associates with each idea. “Peace” conjures a bunch of cool colors, like grays and blues, with a couple brighter colors in the mix. “Dreamy” is almost entirely blues and purples, while “desire” returns warm reds and browns. “Dynamic” has an eclectic jumble of blue, yellow, and red.

[Image: Future Memories]

The tool is the brainchild of the Sweden-based digital design studio Future Memories, which now uses the tool on a daily basis. According to the studio, about 15,000 other creatives frequently use the tool to test whether search terms are strongly related to particular colors. Of course, it still requires a designer’s eye and aesthetic to make any final decisions, but Picular serves as a crowd-sourced answer to which colors a certain topic corresponds with.

You can check out the tool here.

By Katharine Schwab

Sourced from Fast Company

By 

In order to meet the needs of today’s consumers and a more intelligent digital market, creating value in optimization campaigns requires innovative thinking and a personalized approach. Adverts, landing pages, and on-site messages that feel tailor-made are becoming the norm for many brands, contributing to higher response rates, visibility, and value.

Arguably, in today’s post-truth era, creating a personal message that can tap into the emotions and needs of a consumer is exactly the direction in which we will continue to progress. It’s also likely that in the near future, this will become the only way that optimization campaigns can be successful.

Anyone can enhance and deliver stronger campaigns by picking insights from search behaviours and using them to directly address your digital customers. But how can you maximize the effectiveness of doing this? Using Delete’s European Search Award-winning campaign for Leeds Beckett University as a case study, this article will take an in-depth look into profiling and understanding your browsers to attract and convert new customers.

Why utilizing user search behaviour is necessary in campaigns

From Google’s personalized search algorithm that was launched in 2005, to 2015’s RankBrain, search results have consistently shifted towards searcher satisfaction rather than the needs of a webmaster or business. As users began to demand more intelligent, considered content (keyword stuffing is now a definitive no-go), we’ve had to adapt by creating engaging content that is authoritative in terms of knowledge and information.

There are clear signs that behaviour signals are on Google’s radar. Google now elevates the results that it considers to be more relevant to a searcher based on profile information that it gathers about them. So, when it comes to creating your own outreach campaigns, it is only logical to harness and use this profile information to influence post-click user experience.

Harness search behaviour to create customer profiles and develop positive relationships

Using search behaviour information and user profiles is important because of the phenomenal results you can achieve, particularly at a time when advertising is becoming more challenging by the day.

Splitting users into customer profiles is a method that will enable the creation of targeted, tailor-made advertising and content that is more likely to result in conversions. There are a variety of ways that user behaviour can be tracked and profiled, varying from more in-depth and specific methods to quicker, cheaper options that may benefit a brand looking to boost a current campaign or alter the way that their advertising is completed in-house. Not only will customer profiles ensure that only relevant content is delivered to users, but it can also contribute to the development of customer trust and loyalty.

Delete’s Leeds Beckett campaign saw the development of delivering tailor-made landing pages and adverts to international students in an aim to encourage verbal contact with the university as early in the cycle as possible and to make an easier, less daunting application process. By using geographical data, we were able to create customer profiles for international students, which then meant we were able to serve carefully selected imagery to visitors from China, India, and Europe, as well as clear and relevant calls to action.

Splitting apart potential customers by geography, interests, and type of content consumption on the site is the most efficient way to create customer profiles. It can be done through both organic searches and paid searches, with both outlets leading to different customer bases across a variety of platforms. Leveraging existing data is also a practical and simple solution that will help develop stronger relationships with a current customer base. You can then lead users to dynamic pages and imagery that are reflective of organic searches, geolocation, and paid advertising clicks.

The value in creating customer profiles from paid or organic searches

Advertisers now have to look for ways to outsmart the competition. Unfortunately, managing a campaign well is no longer anything special, but a default expectation. Try going beyond the boundaries of just “best practice” SEO or PPC and show real innovation and creativity; it will really pay off.

Using data from users’ organic searches enables a valuable customer profile of people who are already invested or interested in a brand. When it comes to applying this behaviour to SEO, it results in the opportunity to tap into a receptive audience who will benefit from additional information and who may have abandoned conversion if they hadn’t been given access to the information that they were looking for.

Delete’s campaign with Leeds Beckett University experienced phenomenal results. For a typical budget for a campaign of its calibre, we were able to generate approximately £6.9 million revenue in one year and an ROI of 10,403.00%. The use of customer profiles undoubtedly played a large part in this.

Use geographical data to deliver direct and relevant information

In an aim to target potential customers and increase conversion, Delete used an innovative method of developing a live map that would plot the addresses of past enrolments, prospects gathered at educational fairs, and open day registrations. This completely changed their geographical targeting in all marketing campaigns, resulting in a 691.67% increase in traffic to the clearing section.

By creating customer profiles based on geography, there is the opportunity to attract and cater to people who may have less initial interest as well as reduce abandoned conversions due to unrelated content. As well as this, it can encourage behaviours that are natural and reflective of the user with a lower cost per click and a higher volume of leads.

Revolutionize the way you use paid and organic search behaviour for remarkable results

To maximize results in a marketing campaign, create dynamic landing pages and website experience based on recorded search behaviours and the profiles that can be subsequently created using this information. When it comes to paid ads, you can pass targeting and settings to a website and use this information to personalize the website.

With organic listings, you can glean user interests from entrance pages from organic search and what users do once they are on a page. If you create your landing pages right, so that they target the desired keywords well, you can also make assumptions from people landing on these pages from organic search and then interact with them in whichever way you want, even targeting certain interests.

For example, in our campaign with Leeds Beckett, if a user indicated an interest in a Civil Engineering degree (by clicking on a PPC ad from Civil Engineering for Undergraduates ad group), the landing page or the whole website would start surfacing an image of a work placement student standing on a building site, wearing a hard hat and high visibility jacket. This brings the individual student’s interests to the surface, highlighting the best relevant features that the university has on offer. Ultimately the aim here is to shorten the user journey and increase the chance of a conversion.

This can be applied to almost any marketing area or industry, and it will transform the way that your users are able to engage with your content.

By 

Sourced from Search Engine Watch

By James Mathewson 

One thread that binds my career is top-of-funnel content. I’ve co-written two books on the importance of early-stage content and how to identify and capitalize on those opportunities. I’ve also had a lot of success launching content for the early phases in the customer journey: What some people call the “awareness” or “learning” phases. And I’ve written extensively about what success looks like for top-of-funnel content. But I have rarely led sustainable upper-funnel content efforts for a simple reason: It’s difficult to track the first touches in a multi-touch customer journey to revenue.

As I said in the referenced blog post:

When I have been successful in educating executives on recognizing their successes, I have convinced them to focus on optimizing the experience to get a higher share of users to take the next steps in their customer journeys. That kind of growth is much more valuable, as you can attribute it to revenue.

I should have added, “in theory.” In practice, few digital marketers I talk to have attribution working well enough to give each touch point in a customer journey the credit it is due. Upper-funnel content is expensive. It’s an easy line item on a budget to cut if there is no way to track it to revenue. Most of my upper-funnel content efforts were ultimately redesigned out of existence because there was no way to prove they generated revenue.

This is the paradox of upper-funnel content. Without attribution, you can’t prove it was instrumental in generating leads. But redesign it out of existence and suddenly, your lead volume goes way down. Why? Because no one becomes a lead until they’re ready. And they only get ready by first learning the what, why, and how of their topics of interest. These are the basic building blocks of upper-funnel content. Attribution modeling is the solution to the paradox. When you develop an attribution model, you figure out how important the content is to the leads you generate and give it the credit it is due.

We have developed some methods at IBM to give all the content in a journey the credit it is due, including upper-funnel content. I can share the basic methods with you now. Before I do that, however, I want to highlight a common dead end, so we can move on from it.

Last-touch attribution

Most people I talk to at conferences say they have attribution. But after I grill them for information on how they do it, they ultimately acknowledge that they mostly use “last-touch” attribution. That means giving all the credit for the last thing a prospect did before becoming a lead.

For several reasons, last-touch attribution doesn’t work. The main reason is the last thing a prospect sees before becoming a lead might not be the most important. If it is treated as such, a disproportionate amount of resources go to developing it, and you end up with a very bottom-heavy experience.

Last-touch is also bad because you never fill up the pipeline for bottom-of-the-funnel interactions without having top-of-funnel experiences. For example, the last thing many of our high quality leads did was to take a free trial. In last-touch attribution, you would give all the credit to the trial. But nobody takes a free trial without first learning about what they want to try. And nobody sets out to learn about what they want to try without first understanding what problem the tech solves. The more complex the product, the more touch points are necessary just to get to the point of wanting a free trial. In this example, top-of-funnel experiences contributed to the quality and quantity of the lead, but get no credit.

Last-touch attribution is really no attribution. So the question becomes, how do you move towards a true attribution model?

Start with response scoring

The first step is to score all your content in terms of how it contributed to leads and wins. If a white paper is downloaded often, and a high percentage of the respondents who register to take the download become sales, that white paper should be scored relatively highly. Let’s say you have 100 white papers, you can rank sort them on the number of high quality leads they generate, and give them scores on that scale from 0 to 100. Now you have a way to measure the relative value of those white papers.

But assets like white papers don’t generate leads by themselves. They have to be part of campaigns, which puts them in front of the audience using paid, owned, or earned means. If you use the same white paper in multiple channels, it is bound to generate more responses in some channels than others.Let’s say a particular white paper about migrating to the cloud gets a lot of quality responses through organic search. For example, a lot of people query “how do I migrate to the cloud?” and visit the page where the paper can be downloaded. When they visit, they download the white paper and give quality information about themselves in exchange for the asset. This indicates that the paper does its job in early-stage education.

Now let’s say you try to use the same white paper in a paid search campaign that focuses on a product name like IBM Cloud Migration Services. When prospects click the ad, they get a single-offer landing page with the same white paper on it. Here, most of the users abandon the experience before filling out the form, and the paper does not generate a lot of quality responses.

How can the same paper do well in one context and poorly in another? In this case, the paper is useful for early-stage prospects but not for late-stage prospects. By the time someone searches for a brand name, chances are they have already learned all the basics and are ready for a deeper conversation. So a paper that tells them what they already know is no longer relevant.

This example illustrates why simple response scoring is not enough. You need an attribution model that helps you understand the value of assets when they are most useful. Once you have this more nuanced response scoring method, you can begin to pay attention to other variables in the mix.

Every time I have done studies like this as part of campaign optimization, I have also found that the same paper performs differently in two early-stage experiences. Perhaps in one, users have to scroll to get the link to the download whereas the other experience is easier. You never learn how changing UX can change performance until you try to score your assets in the mix. If you have attribution, they become markers to help improve the whole experience, including the asset itself.

From response scoring to attribution modeling

The first step in moving to attribution modeling is to look for patterns in the responses you are getting for your assets. In the example above, the white paper performed well in the early stages of the customer journey and poorly in the late stages. The hypothesis is white papers tend to do better in the top-of-funnel. Test that by looking at all your white papers to see if that pattern is consistent. If so, you can tune your experience by moving your white papers to top-of-funnel and move other things, like product demo videos, later.

This tuning is important prior to implementing attribution because the data can be very noisy if you don’t havewell-tunedned experience design first. If you implement attribution prior to tuning, it’s not the end of the world, but you will need to cut through the noise to tune the attribution. And this can be difficult because there are so many variables to control, it’s difficult to draw valid conclusions from the data.

When we started doing this at IBM, we found that five out of the 1000 or so white papers we had in market generated any kind of quality responses. The temptation was to say, “white papers don’t work.” But when did a further analysis of the five that worked, we found that they were highly technical in nature, not just delivering strategic points of view, but giving tactical guidance of how to implement a solution. Also, all our testing was done on late-stage offers, when tactical information is relevant but strategy is not.

Instead of jumping to conclusions, we started looking at how strategic white papers performed in early-stage experiences, and found that they performed better. All we needed to do was wire up the tracking system to show that people who downloaded those white papers also did late-stage activities leading to quality responses. When those leads closed, we could attribute the early-stage white papers to both leads and wins.

This example illuminates how attribution modeling works best. It doesn’t work to try to make all kinds of assumptions and wire something up based on the assumptions. That leads to conclusions like, “white papers don’t work.” But if you want to know how well a particular white paper is working, you have to take all these variables into account. Assuming the context in which the white paper is delivered to the audience conforms to best practices (landing page UX, right asset type, etc.), you can compare their response scores on an apples-to-apples basis.

A note on gating

Another variable you will need to control is whether or not your assets are gated. In early stages, prospects are less likely to fill out a form with their correct information to download an asset. Also, gating can prevent them from finding the assets in the first place, because the gate prevents search engines from indexing the assets independently of the experiences where they live. So the best practice is not to gate assets in early-stage experiences.

But if you don’t gate, how do you know the asset contributed to a lead? The answer is tracking. You can cookie the user anonymously and track their activities through the point where they fill out a form. When they do fill out the form, you can add all those other touches to the client reference, with the name and email you capture. All those touch points contribute in some way to the lead. Your attribution model can then take those touch points into account.

I have intentionally avoided the question of how much weight to give individual touches in a multi-touch client journey. Weighting can add bias to the algorithm, which obviously affects the results. But it is up to you to weight things the way you think measures your touch points accurately. I would start with giving equal weight to all the touch points, and then look for patterns in the data to determine that you want to weight certain items higher than others.

Conclusion

Attribution modeling is as much art as science. I hope after reading this, you are not so intimidated on getting started. It’s not that hard. You make hypotheses (based on best practices) about what you think is working, and you test it. You learn a lot in this process, and eventually you are able to attribute any page or asset (or combinations) you publish to the business results that matter. If you have a working attribution model, you can learn how to focus on the things that matter more. Most importantly, you can get the funding you need to do more of the things that work. In particular, you can build sustainable top-of-funnel content marketing programs.

By James Mathewson 

Sourced from Business 2 Community

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Synchony’s latest consumer survey found that a whopping 83 percent of consumers were happy with their favorite retail app.

Retailers have upped their app game in 2018, prompting a surge in consumer interest in mobile apps specifically designed to handle online shopping.

Two recent surveys from Synchony found that 47 percent of retailers were focused heavily on improving their apps and online shopping experience, and consumers have responded overwhelmingly, adopting double the amount of apps they did last year.

According to the survey, smartphone users now carry and shop regularly on at least 4 apps from their favorite retailers. Retailer investment in apps has paid off handsomely, as 83 percent of survey participants were happy with the app experience and continue to use it more often.

Retail app users said they use it primarily to browse for products, access savings coupons and make purchases.

Maya Mikhailov, head of marketing at GPShopper, a subsidiary of Synchrony, told Business Insider the apps allow companies to build brand loyalty and track what their most devoted customers seek to buy on a daily basis.

“In today’s competitive landscape, a mobile application is not just another piece of technology for retailers, it is a vital tool to engage shoppers with their brand,” Mikhailov said.

“Done well, retail apps engage both in and out of stores with personalized experiences and easy credit solutions.”

Companies have been able to merge the bevy of online payment services with their own apps, making it easier for people, especially older millennials with increasing buying power, to pick a produce and check out quickly. Macy’s, Best Buy and Nike all have mobile apps linked to Apple Pay and other services.

Last month, a Juniper Research report found that in-store mobile wallet payments will reach $2 trillion by 2020, accounting for one third of all transactions. Juniper added that mobile wallet payments are going to reach $1 trillion for the first time in 2018, proving that they were one year off from their past predictions.

The survey touches on the trend of mobile payments, with the majority of the survey’s 1,255 respondents saying they believed that by 2025, physical wallets will no longer be necessary. Synchrony said 60 percent of those surveyed said that within 7 years smartphones will be the primary mode of payment in most settings.

“For retailers who have not thought about enabling mobile wallet acceptance, now is the time to start making plans. Our Retail Survey showed that most large retailers ($100M+ in sales) have implemented mobile wallet technology (75 percent), yet only about half of smaller retailers ($10M or less) have done so,” they wrote in the survey.

“A future of digital payments is approaching. Smaller retailers are well advised to put plans in place to accept a digital wallet in the future.”

In spite of consumer satisfaction with apps, there are signs that some may be more conflicted than others. More than 40 percent said they still did not feel comfortable putting all of their credit cards and IDs on their smartphone, yet 55 percent said they have retailer apps with credit card capabilities.

Nearly 80 percent said they thought credit card servicing features were extremely valuable to any retailer app.

Takeaways

  1. Mobile shopping app adoption and usage has doubled compared to last year, according to a Synchrony survey.
  2. Consumers place a high value on retailer apps and more than 80 percent said they were happy with their current mobile shopping apps.

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Sourced from Download

By Jane Brown

There are countless marketing strategies one can explore as a small business owner. With that said, it’s unrealistic to explore all possibilities due to budgets, time, and resources. In fact, spreading too thin is a disservice to the marketing efforts as it never truly allows a realistic return on investment from a particular technique.

It’s the notion of “Jack of all trades, master of none”, or, “The shiny object syndrome”. A small business owner’s high impressionability and thirst to succeed often leads to hopping from topic to topic, never truly completing projects and marketing campaigns. Let’s dial it back and explore realistic small business marketing strategies worth exploring.

5 Small Business Marketing Strategies for Branding and Sales

Small Business Marketing Strategies for Branding and Sales

1. Social Media Marketing

Every business should create accounts on:

These provide free platforms to connect with the business’s audience. Their usage is 1-for-1 as done for personal accounts: find interested parties, start discussions, and share content. Except, a small business will inject promotional offers and sales on occasion.

These platforms should funnel users to one’s email newsletter as this mutes the social “noise”. The newsletter and social account work in tandem building brand awareness and lead generation.

Plus, it’s free.

2. Merchandising

Merchandising creates three awesome benefits:

  1. Unifies the workforce through branding
  2. Mobilizes employees and fans to passively promote the brand
  3. Provides incentives for contests, giveaways, and outreach

Utilizing customized business merchandise is the best option for providing items like branded work shirts for employees, gizmos for around the office, or novelty items for customers and fans. These items constantly remind others about the business brand, creating opportunities to bring past customers back into-the-fold between purchases.

3. Referral Systems

This is called by many names:

  • Word-of-Mouth
  • Affiliates/partners
  • Refer-a-Friend

The idea is creating an incentive when interested parties and customers help drive new leads and customers to the business. This is accomplished through low-tech flyers or business cards, or high-tech with referral systems and apps.

What you’ll need:

  1. A unique code for each, active participant
  2. A worthwhile incentive (cash, points, discounts)
  3. A way to track the referrals and participants

Give participants the tools and resources and they’ll help in several ways. Their methods could include writing online reviews about the business, sharing their code/links on social platforms, or distributing branded print materials to acquaintances.

The cost? A few bucks for cards or $10 – $20/mo for a simple tracking app/plugin.

4. Search Engine Marketing

There are two avenues. They are:

  • Improving organic traffic through optimization
  • Getting instant traffic & leads with advertising

Got a website? Good, the business is already halfway there.

DIY or outsource SEO work to improve the website’s page by including its relevant keywords, expanding its content, and building backlinks from relatable, trusted websites. Then, conduct outreach efforts to create an online presence increasing its odds of being shared, linked to, and being the topic of discussion.

Likewise, leverage website & business data to develop an advertising campaign on popular channels like Google Ads. Or, advertise directly on relevant websites in the business’s industry & market. This involves writing ad copy, developing creative banners, and funding the PPC/CPA platform.

Search marketing costs vary but range from free (DIY methods) to thousands (professional). A middle ground, about $500 – $1000/mo, provides ample, realistic returns.

5. Email Marketing

Starting an email marketing campaign begins with:

  1. Subscribing to an email marketing provider
  2. Creating and populating an autoresponder
  3. Adding opt-in forms to the website or landing page(s)
  4. (Optional) Creating an incentive to increase list building efforts

Email marketing campaigns are among the best forms of outreach and sales. Your continual effort to collect emails creates a hedge against wild swings your website may experience from search engine algorithm changes (as we see often).

Email marketing costs anywhere between $0 – $20 to begin with most providers. The setup process is easy enough for any small business owner — requiring little to no technical skill as it provides WSYWIG form builders. Once set up, the opt-in form is placed in strategic areas of interest enticing visitors to sign up for a newsletter.

What can you do with an email list? Consider regular discounts & deals or blog updates & exclusive content.

Treating the email list as its separate business entity transforms the platform from a passive feed to a marketing machine. Sending an email takes less than 10 minutes but can deliver thousands of site visitors and potential sales!

 Realistic Marketing Methods Grounded in Reality

These marketing methods are fundamental strategies used throughout the business world for good reason: they work. Reexamine the business’s efforts and investments — is it chasing shiny objects or trying to do everything without succeeding at any?

Get realistic with marketing strategies.

By Jane Brown

Sourced from FINCYTE

By 

Search trends are, logically, always changing, which can make it hard to keep up with what’s happening in your industry – and impossible to stay on top of the broader shifts overall.

But knowing the biggest picture can be helpful, not only to see what’s trending based on topical interests, but also based on where things are headed – which is particularly relevant for industry and niche related terms.

To help with this, the teams from Ahrefs and Siege Media have teamed up to analyze the most searched terms on Google among U.S.-based users over the last 12 months (finishing June 1st, 2018).

There are some off ones, but also some interesting trends – check out the full list below.

A listing of the top 100 most search keywords on Google over the last year

A version of this post was first published on the Digital Information World blog.

By 

Follow Irfan Ahmad on Twitter

Sourced from Social Media Today