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By Kevin Blackwell 

When the concept of buyer intent was first introduced, the mathematics behind it were fairly basic. Practitioners would choose an available stream of web hits, then determine which accounts’ traffic indicated a propensity for interest in a category of product or service. Occasionally, a divide would normalize the account’s size, or a multiply would magnify a signal of poignance. But while the process was strong in data, it was weak in Data Science. It took time to be able to leverage true Data Science to account for a multi-stage buying journey and the massive quantity of buying intent signals available in today’s advanced buyer intent models.

Predictive Analytics, often misunderstood as an alternative to buyer intent, commonly had the exact opposite problem. While affording powerful logistical regression models based on any data that it could see, predictive analytics models suffered from near data blindness, as marketing departments struggled to feed anything more than CRM, website logs, and basic firmographic data to it. By definition, they could only predict what a prospect would do after they had entered the sales funnel, since little information prior to that point was available. Strong in Data Science; weak in data.

Today’s buyer intent analytics have come a long way. Stronger than ever in data, Best-in-Class solutions leverage sophisticated Data Science models that consider differential analysis to model the swings in buyer intent signals that naturally occur as a B2B buying committee progresses through meetings, proof-of-concepts, vendor sorting, and other stages of a buying journey. Logistical regressions optimize media mix models based upon advertising response rates by accounts showing buyer intent. Multifactor predictive models identify fraudulent ad responses that are then eliminated from buyer intent scores. And big data architectures bring cutting-edge machine learning and Natural Language Processing (NLP) algorithms to bear in identifying buyer intent signals.
What do you need to do to prepare for the rapidly-changing mathematics behind buyer intent?
  • Make sure buyer intent partners have the Data Science capabilities necessary to model the results you are looking for, but can also relate their findings to non-technical audiences.
  • Build and buy buyer intent capabilities using a wide-focus model that includes statistically significant sample sizes. Focusing on just a few web properties won’t provide enough data to sort true signals from noise.
  • Strengthen your team’s statistical understanding so that they can accurately interpret results from vendors and maximize your ROI. You don’t need a data scientist on staff, but a deeper understanding will help.

By Kevin Blackwell 

Sourced from Business 2 Community

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Are you just getting started with a social media plan for your business? Need a checklist to help you implement your social media marketing strategy?

Last year, the team from SEMrush published a helpful checklist for effective social media management, and they’ve updated the listing for 2019, adding in relevant, up-to-date information to help keep you on the right track.

The listing breaks the essential tasks down into daily, weekly, monthly and quarterly notes – check out the full infographic below for more detail.

Social Media Marketing checklist

A version of this post was first published on the Red Website Design blog.

By 

Sourced from Social Media Today

By  Tim Peterson

There is no Santa Claus. If there were, then by now advertisers and media companies would have gotten the complete cross-platform measurement product they’ve been clamoring for: “The one impression to rule them all, defined one way that fits everywhere,” as described by Ed Gaffney, director of implementation research and marketplace analytics at GroupM. “Unfortunately it doesn’t exist.”

Industry executives continue to hold out hope that something at least approaching true cross-platform measurement is attainable. That hope is not unwarranted. After circling one another for years, the rivalry between Comscore and Nielsen to become the industry’s chosen cross-platform measurement provider has heated up. In 2018, both companies appointed longtime advertising executives to be their respective CEOs — Comscore with Bryan Wiener and Nielsen with David Kenny — and steer them past the corporate blunders that have dogged each company in recent years.

In 2019, both companies plan to roll out new measurement tools to give advertisers and media companies an equal look at cross-platform video audiences, whether people are watching a show or see an ad on linear TV or a streaming videos service.

Comscore introduced Campaign Ratings in September to measure video ad delivery across traditional TV, connected TV, desktop and mobile for advertisers. Early in the first quarter of 2019, Comscore will introduce a similar measurement product for media companies, which would be able to measure video content delivery using the same methodology as the ad product, said Comscore CEO Bryan Wiener. Nielsen, meanwhile, plans to syndicate data from its Total Content Ratings product, which measures video viewership across traditional TV and digital, to ad buyers, said Kelly Abcarian, svp of product leadership at Nielsen.

The two products signal how the two measurement companies coming from different backgrounds — Nielsen from traditional TV and Comscore’s from digital — are on a collision path.

“Where we are with cross-platform measurement is Comscore and Nielsen are sort of the only games in town from the traditional measurement side. They started from opposite directions, and cross-platform measurement is in the middle, and nobody’s made it into the middle yet,” said Jonathan Steuer, chief research officer at Omnicom Media Group.

Both companies racing to establish strengths in each other’s domain. Comscore is pressed to provide the in-depth person-based measurement that Nielsen’s panels provide, while Nielsen must aggregate more data to augment its panels and provide more minute measurement at the device level.

“Everything is queued up for something to happen,” said Steuer.

It has to because it needs to. For years, media companies ranging from NBCUniversal to BuzzFeed have argued that third-party measurement providers are unable to adequately assess the reach of their content — especially as that content spreads to even more platforms and places online. Similarly, advertisers have had to cobble together measurements from various providers to make their own calculations of who saw their ad and where.

Both media companies and marketers have been honest about the industry’s shortcomings, acknowledging that they are often trying to nail down a moving target as new platforms continue to pop up. They also recognize that both Comscore and Nielsen have dealt with corporate struggles — accounting issues at Comscore, a GDPR-related investor lawsuit filed against Nielsen and management upheaval at both companies — that may have detracted from their measurement businesses. Both companies “moved 20 percent of the way to the middle and stalled,” said Steuer.

“Because of our own self-imposed struggles and financial irregularities, nothing happened for years,” said Wiener, who spent 13 years as CEO and then executive chairman of Dentsu Aegis Network’s 360i. (Nielsen was unable to make its CEO David Kenny, the former Digitas CEO, available for an interview by press time.)

That’s not to say that nothing at all has happened to improve cross-platform measurement in recent years. For example, both Comscore and Nielsen now measure OTT video viewing.

“While it’s certainly not exhaustive or all-inclusive, it’s there in a way that we didn’t see in 2017,” said Eric Cavanaugh, svp of digital marketplace intelligence for data sciences practice at Publicis Media.

The progress in measuring streaming video is indicative of the incremental progress that industry executives expect to see from Comscore and Nielsen in 2019, as opposed to something major such as a move away from panel-based measurement. “To switch that to anything different, that’s a revolution that will be expensive and bloody,” said Gaffney.

Such a switch is unlikely while Comscore and Nielsen each remain public companies with investors that may not take kindly to drastic moves. But it would also be largely unwelcome among ad buyers.

Often derided in light of the ability to directly measure digital content and advertising through tracking pixels and other means, panels allow companies to gather information — including people’s age and gender while also connecting the dots on the content that an individual consumes — that a piece of code cannot collect. “You need the panel for the personification of large sets of household data,” said Gaffney.

For their parts, neither Comscore nor Nielsen is looking to eliminate panel-based measurement.

“We believe in panels. The biggest difference between us and that other company you’re going to talk about is we believe that we’re data-first and the panel is used to inform the data set versus the panel being at the crux and using the data at the outskirts,” said Wiener.

“The panel will continue to underpin measurement and be the truth set,” said Abcarian. Nielsen is collecting more data through cable TV set-top boxes and smart TVs through its acquisition of automatic content recognition company Gracenote. But as more people cut the cord, Nielsen sees its panel as playing “a critical role” in being able to estimate the entire viewing population, she said.

Given the differences in Comscore’s and Nielsen’s approaches and the work that both companies still need to do to address their respective limitations, the expectation that either will emerge as the one, true cross-platform measurement provider is fading.

“I don’t think we’re going to have one major provider going forward. I think it’s going to be more fragmented,” said Gaffney.

There’s no Easter Bunny, either.

By  Tim Peterson

Sourced from DIGIDAY UK

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Do you want to reach more customers on YouTube? Wondering how can help you grow your audience and business?

To explore how marketers can benefit from YouTube Live, I interview Nick Nimmin.

More About This Show

The Social Media Marketing podcast is designed to help busy marketers, business owners, and creators discover what works with social media marketing.

In this episode, I interview Nick Nimmin, a YouTube expert. His YouTube channel is for YouTube creators and has more than 300,000 subscribers. He also hosts a weekly YouTube Live show called Nimmin Live and co-hosts the Business of Video podcast.

You’ll find out how to optimize your YouTube live stream for more exposure.

Nick also shares the tools and process he uses to produce his live YouTube show.

Click HERE to read the remainder of the article

By

Sourced from Social Media Examiner

Sourced from Atlanta Small Business Network

Facebook is a powerful tool, but only if used correctly. Two out of three businesses on Facebook, however, do not work with a proper Facebook marketing strategy. Instead, they muddle through, trying to learn as they go along. If your business isn’t truly expert at Facebook, however, you don’t get the mileage out of this platform that you can. Here are mistakes that you should look out for and avoid.

1. You Forget about Facebook’s Rules

Facebook marketing
Photo courtesy of facebook.com/policies/ads/

It’s possible to break the rules when you post on Facebook. For instance, if you publish a photo hyperlinked to a website, it goes against Facebook’s preferences for what posts should be like. The way Facebook sees it, photos should have dead-end links — they should be clicked to expand, not to lead to websites. It’s important to keep such Facebook rules in mind in order to not be penalized.

2. You Post Just Links

Many companies publish posts that consist of links to their website, and nothing else. Facebook users, however, tend to stay within Facebook, and wish to not to be taken outside. Going outside tends to result in less engagement and, curiously enough, fewer clicks. Facebook advertising, on the other hand, results in more website clicks. Proper advertising, not links, attracts people and makes them click.

3. Poor Content Targeting

Many companies use the spray-and-pray approach: They publish all the news and content they can get their hands on, let all their followers see it, and hope that something sticks. Precise content targeting, however, is Facebook’s strength. To ignore it makes little sense, because irrelevant content tends to annoy readers. A basic rule of Facebook use is to only publish content that can be targeted.

4. Neglecting to Advertise on Facebook

About five percent of your audience is the best you can hope for when you take the organic route. For longer than a year, however, Facebook’s organic reach hasn’t been very good for businesses. Facebook expects businesses to reach their audiences through its advertising products instead. It’s important to post high-quality content on a regular basis, and to then promote through advertising.

5. Neglecting to Use a Consistent Tone of Voice

Not many businesses decide on the tone of voice to use. They tend to let different employees take charge of their Facebook presence at different times, resulting in a company tone that changes from formal to fun at different times of the month. Such inconsistent tone is likely to disengage viewers, however. It’s important to get the marketing team on board, create a tone that works with the company’s general brand image, and to go with it at all times.

6. Ignoring a Problem When it Comes Up

Facebook marketingPeople don’t just go to company pages on Facebook to follow fun posts — they also go to complain about problems. Many businesses aren’t sure how to handle negativity, however, and simply choose to ignore it. This tends to look bad to other Facebook users who see the company as disengaged.

It’s important to thoroughly deal with negativity as soon as it turns up. The idea should be to respond within minutes. Facebook Insights allows businesses to monitor response times. If it’s hard to respond in a prompt fashion, it would be a good idea to hire someone who is able to do it.

7. Finding a Content Strategy

Content pasted from the company blog, for instance, simply doesn’t work. Facebook content needs to be specifically created for the platform, and it needs to be emotive. Businesses need a content strategy, a copywriter, and designer to be able to look professional on Facebook.

It is common for businesses to make mistakes on Facebook. These mistakes can take a toll on your success. It’s important to pay close attention to Facebook’s changes and preferences. It’s the only way to use Facebook to its full potential.

Sourced from Atlanta Small Business Network

By YUVAL BEN-ITZHAK

Using machine learning to weed out fakery on social media is just the beginning; a lot more needs to be done before influencer marketing on these platforms can live up to its potential – argues Socialbakers’ Yuval Ben-Itzhak

Ever since social media became a critical component of the marketing strategy for any business, the platforms have come under scrutiny. The reasons range from possible interference in the United States’ electoral campaigns to issues around content integrity. ‘Transparency’ has become a major point of discussion and social platforms have taken steps to reduce inauthenticity.

Particularly in an era of fake news, authenticity is key to all social media content and interactions. With Instagram surpassing the billion-user milestone and becoming a leading hub for collaboration, users want to know that the content they see comes from credible, trustworthy sources.

The social media site’s latest move to remove inauthentic likes, followers and comments from accounts that use third-party apps to boost popularity, has been welcomed. This move raises the bar for authenticity.

Similar to Twitter’s blue badge, Instagram has released its own verification system. Its blue tick is currently available only to notable public figures, celebrities, global brands and other entities. Introducing this update was a great example of a relatively small change that can have tremendous results.

A simple check mark at the top of a profile can communicate to users that the profile is exactly what it says — no strings attached. Updates like these put the user first, which helps create an authentic experience.

Developing a machine learning system, however, is only half the battle won. Instagram will need to continuously evaluate each profile, as they can quickly turn malicious due to third-party apps. With the sheer scale of Instagram profiles, it’s possible that the frequency of evaluations could pose a threat to this new system. One solution could be to provide the date and time of the last review. This allows users to get an idea of how recently the profile in question has been verified.

The fact that Instagram has taken steps to limit undesirable behaviour is sending a message about the platform becoming more vigilant about eliminating illegitimate activity. By doing so, Instagram is showing its commitment to delivering an authentic, “digital pollution” free environment.

It will also have a positive impact on influencer marketing which is expected to become a $10 billion market by 2020. We imagine that marketers able to search for viable influencers confidently, focusing their activities on interacting with real audiences.

However, Instagram isn’t the only platform raising the bar for authenticity. Twitter has also become more vigilant about eliminating illegitimate activity with plans to remove all fake accounts.

At first glance, dwindling numbers for any social media platform can seem concerning. Fortunately, most brands are on board with Twitter’s stance on reducing the number of fake profiles on the platform. And why wouldn’t they be? While it may come as a surprise for brands to see a huge drop in Twitter followers, it’s actually extremely beneficial.

Removing dead weight from their following increases their chances of acquiring meaningful interactions. It gives them the ability to rebuild a loyal audience that they can count on. It’s true that numbers look good, but, in this case, they’re only for show.

While it is important for brands and influencers to have a solid follower base, the key here is quality – not quantity. Authenticity is increasingly pervasive when it comes to social media marketing. Fake accounts lead to inflated reach and performance numbers which aren’t helping brands or influencers engage in genuine conversations with their audiences.

With so much money on the table, however, it’s no surprise that fraud has become so prevalent. Rooting out fake influencers is a great move. But brands will also need to keep an eye on fake engagement and fake interests.

They can do so by looking at two key data points: the influencer’s performance over an extended time period, and their engagement level per 1,000 fans. In addition, benchmarking the performance of a few influencers over time can help to identify anomalies resulting from fraud.

There is no clear-cut answer that can be prescribed to all social media platforms. Seeing as they have different business models, we can expect that each channel will experiment with different solutions. We’re at the beginning of a new era that will indefinitely evolve as we learn more about what works and what doesn’t. What we’re seeing now are simply the first advancements in online transparency; we can expect more in the near future.

Yuval Ben-Itzhak is the chief executive officer at the analytics firm Socialbakers and is based in Prague, in the Czech Republic

By YUVAL BEN-ITZHAK

Sourced from Mumbrella Asia

By

What’s the best way to measure Return on Investment when planning social media campaigns? How can you justify the time and the budget spent on them?

Ever since social networks showed up in our lives, there has been an ongoing discussion among marketing teams surrounding whether social media is worth the time and effort invested into it.

Many of us recognize its benefits as part of a digital marketing strategy, but it isn’t always easy to measure its effectiveness. This has become even more challenging as budgets have grown larger.

As social networks have grown (both in size and in number), so have the expectations from their usage. It’s no longer enough for a company to justify social media marketing by counting the number of likes or comments they receive.

There is a need for a proper analysis of each platform, along with the right use of metrics that can establish which are the most effective social networks for each company.

The Challenge of Finding a ROI for Social Media

Return on Investment (ROI) has rapidly become a buzzword among marketers: a phrase that is often used, but rarely defined.

Not every company will see the same ROI from using social media. In fact, not even every campaign will yield the same ROI for a specific company. This makes it harder to answer the question:

“What is the ROI of social media campaigns?”

Measuring Return on Investment doesn’t have to be about putting an absolute figure on the value of a social media campaign; it’s more about gauging whether or not your campaign has achieved the goal that it set out to achieve, to an extent that justifies the resources you invested into it.

Thus, the best way to respond to this question is by splitting the answer into three types of campaigns. This makes it easier for every company to find the goals that fit their campaign and thus, the ROI that they should expect from them.

Image: Quicksprout

Brand Awareness

A campaign that aims for brand awareness is attempting to increase a company’s exposure to a particular audience.

The KPIs for a brand awareness campaign are usually an increase in:

  • reach
  • followers
  • traffic

The idea is to use the campaign to reach a wider audience that might be interested in the brand’s particular product or service. As social media users become more demanding year on year, it’s important to create such campaigns to try to grab their attention, until they are ready to start the process of becoming customers.

The ROI in this case has to do with the time and the budget spent on brand awareness, and the change in KPIs that resulted. Campaigns that aim for brand awareness may require a large budget invested in reaching a wider audience, so it is crucial to be able to show results that justify this.

  • Did the campaign actually increase the number of followers and interest towards your brand?
  • Did traffic towards your site increase during the time of the campaign?

Increased Engagement

A campaign that aims for increased engagement for a brand is trying to spark discussions about that brand in the most genuine way.

The aim of increasing engagement in a brand’s social network has to do with a wider attempt to boost social media interaction among the target audience. Engagement serves as a good indicator of a user’s sentiment and interest in a brand, and it can be monitored through:

  • number of likes
  • number of comments
  • number of shares
  • type of reactions (on Facebook)
  • brand mentions

The ROI for the campaigns of increased engagement has to do with the proof that the time spent towards engaging with the audience had an actual value.

  • How has the engagement increased during the time of the campaign?
  • Was there a genuine interest from social users towards the brand?
  • What are the chances that these people will continue interacting with your brand in the future?

Lead Generation

A lead generation campaign is one that uses a tangible hook to direct social users towards a specific landing page. Whether it’s a free gift, a report, or an ebook, brands use lead generation campaigns to increase:

  • traffic to the site
  • number of email subscribers
  • number of downloads for a specific piece of content
  • number of form completions

Lead generation campaigns can be used to grab the audience’s attention and make it easier to have a further discussion with them. The other advantage of running lead generation campaigns is of course gaining the “lead” – the customer’s contact information – that gives you a means of marketing to them more over the long term.

It’s important to aim for relevance and value when generating leads, as these two elements combined increase the chances for a social user to turn into a customer further down the funnel.

The ROI for this type of campaign is to justify the budget spent on the hook and the actual campaign, towards the set goals. It’s good to start the campaign with specific numbers in mind, as the ideal metrics that a campaign can reach. This estimate helps a brand have a clear goal without losing the focus on metrics that are not the primary goal.

For example, if a brand offers a free ebook in a lead generation campaign with the goal of increasing the number of email subscribers, the key metric is the actual number of people who were interested enough in the content to volunteer their email addresses.

If there is an increase of social followers along with it, that can serve as an additional success, but it’s still not the primary goal that the brand was seeking to achieve.

When examining the ROI for such campaigns, it’s a good idea to ask:

  • Is my brand closer to reaching its established goals?
  • Was the hook effective for the particular campaign?
  • Did I set the right goals to measure the effectiveness of the campaign?

Social Media ROI Is Not A Myth

During the early years of social media marketing, establishing ROI was more challenging, and this led to the misconception that social networks are not as effective as other forms of marketing.

However, times have changed and we’re lucky enough to discover every day all the creative ways that social media marketing can be part of a wider digital strategy.

As social media usage increases, it’s more exciting than ever to come up with the best campaigns that will help you get closer to your goals.

All you need is the measurement that will justify your efforts.

By

Sourced from Jason Houck Media

By Kevin Blackwell    

When the concept of buyer intent was first introduced, the mathematics behind it were fairly basic. Practitioners would choose an available stream of web hits, then determine which accounts’ traffic indicated a propensity for interest in a category of product or service. Occasionally, a divide would normalize the account’s size, or a multiply would magnify a signal of poignance. But while the process was strong in data, it was weak in Data Science. It took time to be able to leverage true Data Science to account for a multi-stage buying journey and the massive quantity of buying intent signals available in today’s advanced buyer intent models.

Predictive Analytics, often misunderstood as an alternative to buyer intent, commonly had the exact opposite problem. While affording powerful logistical regression models based on any data that it could see, predictive analytics models suffered from near data blindness, as marketing departments struggled to feed anything more than CRM, website logs, and basic firmographic data to it. By definition, they could only predict what a prospect would do after they had entered the sales funnel, since little information prior to that point was available. Strong in Data Science; weak in data.

  • Make sure buyer intent partners have the Data Science capabilities necessary to model the results you are looking for, but can also relate their findings to non-technical audiences.
  • Build and buy buyer intent capabilities using a wide-focus model that includes statistically significant sample sizes. Focusing on just a few web properties won’t provide enough data to sort true signals from noise.
  • Strengthen your team’s statistical understanding so that they can accurately interpret results from vendors and maximize your ROI. You don’t need a data scientist on staff, but a deeper understanding will help.

Do you know which specific companies are currently in-market to buy your product?

Wouldn’t it be easier to sell to them if you already knew who they were, what they thought of you, and what they thought of your competitors?

Good news – It is now possible to know this, with up to 91% accuracy. Check out Aberdeen’s comprehensive report Demystifying B2B Purchase Intent Data to learn more.

By Kevin Blackwell    

Sourced from Business 2 Community

By 

You don’t need to wait for a new year to update your business’s processes. But when the calendar changes, it serves as a good reminder to evaluate some of the tech and platforms you use so you can modernize your business and become even more effective. Here, members of the online small business community share some of the trends and changes that you should be aware of as you bring your business into 2019.

Keep an Eye on PPC Changes

The world of PPC advertising is always evolving to better target relevant consumers. So if you want your ads to have the biggest possible impact in the new year, you need to stay up on all the latest trends. This Search Engine Land post by Ginny Marvin features some of the changes you should know.

Approach Analytics Differently in 2019

If you haven’t updated the way that you approach your business’s analytics in several years, 2019 could be the perfect time to re-think some things. Today’s businesses have access to more data than ever before. Here, Lane Ellis of TopRank Marketing discusses some of the ways you can approach analytics differently moving forward.

Learn These Google Analytics Terms

Google Analytics is perhaps the most popular tool for measuring website activity and traffic. But for those who are new to the online business world, some of the jargon used may be a bit tough to understand. So check out this Search Engine Watch Post by Robin Sherwood to get a handle on all the essential vocabulary.

Consider These Social Media Trends for 2019

If you want to stay on top of the ever-changing social media landscape, you need to constantly learn about the upcoming trends. In 2019, there are likely to be several evolving platforms and features that could impact your business. Learn more in this Prepare 1 post by Blair Evan Ball.

Keep Up With These Social Media Changes

And that’s not all! In this post on the Inspire to Thrive blog, Hugh Beaulac offers even more social media trends that should be on your small business’s radar in the new year. And members of the BizSugar community also shared their thoughts on the post here.

Build Your Small Business Credibility

Sometimes, small companies don’t have the same type of trust and credibility as big brands. But even though your business may be small, you can still reassure potential customers about your brand. This SMB CEO post by Matt Shealy includes some tips specifically for small businesses.

Protect Your Trademarks on Social Media

Just as it’s important to protect your business’s intellectual property in other areas of marketing and operations, it’s also important to do so on social media. There are plenty of accounts that may try to copy or emulate your trademarks. To protect them, read this Social Media HQ post by Christian Zilles.

Check Out These Landing Page Design Trends

Landing pages are very useful for targeting new customers and getting them into your sales funnels. The design choices that you make for these pages can have a major impact on your conversion rates. In this GetResponse post, Brea Weinreb details some of the upcoming trends that could impact your landing pages in 2019.

Become Gainfully Self Employed

Entrepreneurship is more popular than ever. Plenty of people are realizing the freedom and excitement of owning a business or becoming self-employed. If you’re interested in taking the leap this year, check out this Copyblogger post by Claire Emerson. Then see what BizSugar members are saying here.

Get Your New Business Idea Off the Ground

When you’re first jumping into the business world, you need a plan for developing and getting the word out about your new venture. There are many different factors that go into this process. To get started on the right foot in 2019, learn from this PERK Consulting blog post by Lucy Reed.

Feature Image Credit: Shutterstock

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Annie Pilon is a Senior Staff Writer for Small Business Trends, covering entrepreneur profiles, interviews, feature stories, community news and in-depth, expert-based guides. When she’s not writing she can be found on her personal blog Wattlebird, and exploring all that her home state of Michigan has to offer.

Sourced from Small Business Trends

By Michael Lock    

Among the many uses of web-based intent data is its ability to profile the buyer’s journey for B2B technology.

Consider today’s most talked about technology – AI and Machine Learning. If you were interested in deploying this technology in your organization, how would you go about that process? Would you look for analogous examples of the technology being used in organizations similar to yours? Would you plan out a resource roadmap for how you might staff up to support such an endeavor? Would you explore vendors and solution providers that you might partner with?

Aberdeen’s intent data tracks buyer behavior and content consumption across millions of websites to connect web-based search activity to discernible buying intent signals. Not only does the data provide intelligence about topics and concepts of high interest to B2B buyers, it will provide URL-level detail to demonstrate the exact content being consumed, as well as visibility into the number of devices (i.e. individuals) consuming it.

Given the current level of hype surrounding AI in today’s business and consumer environments, it would be reasonable to assume a high degree of browsing based on news-worthy human-interest stories, and Aberdeen’s data confirms this. However, limiting the data to present-day, business-relevant content, the findings reveal an interesting breakdown of topics. Measured by the number of unique device IDs interacting with content of three main types, Aberdeen’s breakdown of the top 50 most visited websites is as follows (Figure 1).

Figure 1: What Are Buyers Reading? Top AI / Machine Learning Web Activity

Each category depicted above is described in more detail below.

Vendor-related. Content that discusses vendors active in the AI / Machine Learning sector. From Amazon and IBM Watson to smaller start-ups, this includes companies actively solving business problems with AI & Machine Learning technology. Uses include: early stage vendor exploration, technology consideration.

General education. Content discussing definitions of terms and technologies within the AI / Machine Learning sector. Also includes content providing present-day news, statistics, and general information about the business landscape for AI / Machine Learning technology. Uses include: hiring and talent acquisition, skill building.

Practical use case. Content exploring different ways to utilize AI / Machine learning in a live business environment – by industry, job role, or functional area. Uses include: business problem solving, evaluating organizational fit.

In the face of these findings and the strong slant in favor of vendor-related content, one might be compelled to ask – is this what people want to read, or is this simply what’s available? It’s been said that content consumed doesn’t necessarily equal content desired, and Aberdeen’s additional research in the Analytics and Big Data space shows that there might be a greater desire for practical examples bubbling up within our workforces. According to a recent survey, more than 80% of companies see value in AI that ranges from future potential to present-day strategic priority (Figure 2).

Figure 2: A Strong Outlook for AI in the Enterprise

The buyer’s journey is not a cookie-cutter process from company to company, but there are certain elements that remain common experiences. Findings from Aberdeen’s large pool of intent data demonstrate a slant toward vendor-related content, but additional research findings validate the need for more educational content that can guide buyers along a more savvy path toward implementation.

By Michael Lock    

View full profile ›

Sourced from Business 2 Community