Big Data. Big Decisions
InformationWeek
Special Coverage Series


5 Ways Social Media Makes B2B Sense

There are several ways you can -- and should -- use social to develop your business-to-business customer relationships.

Facebook's 2012 Highs And Lows
Facebook's 2012 Highs And Lows
(click image for larger view and for slideshow)
Social media and B2C are a match made in heaven. Consumer-facing companies can engage directly with their customers, branding, marketing, selling and servicing -- often for a lower cost than through traditional channels. But what about social and B2B?

Although many have pooh-poohed the place of social in the business-to-business world, there are several ways in which social networking products and practices are being used to develop relationships with existing and potential customers. The trick is to not simply duplicate what's done in the B2C space.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

1. Thought Leadership.

Most B2B product categories are crowded. Especially if your company shares space with a giant in the field, it can be difficult to be thought of seriously -- or thought of at all. This is where content comes in.

[ Why is social low on the to-do list of many CIOs? Read CIOs Clueless About Social? Maybe Not. ]

Just as crowded spaces are challenging for the companies competing in them, it can be difficult for corporate buyers to make decisions amid all the noise. They are hungry for content that will help them keep up with constant changes and make informed decisions. It's not easy to develop videos, whitepapers, blog posts and the like that provide relevant, meaningful content and at the same time get your company's message across without beating people over the head with it. But if you can strike that balance, they will come.

2. Lead Generation.

People who engage with all of this great content -- say, by downloading a gated whitepaper -- are potential leads. Lead generation via social networks will become increasingly important as corporate buyers' time shifts to social media outlets from other channels.

3. Community.

Unlike with most consumer products, the lifecycles of B2B products and services is long -- at least, that's the hope. The companies that use your products and the people who implement and manage them will need ongoing service, support and insight. When it comes to the latter, there's nothing like the insight of peers. Smart B2B companies are creating spaces on social networks, such as groups on LinkedIn and Google+, within which corporate users and buyers can safely and privately discuss issues and share experiences. Several vertical social networks are popping up that also provide focused work and community spaces.

4. Recruitment.

Good employees are hard to find, but it's a little easier with social networks. Using social networks, companies can proactively identify the people they want on their teams. Conversely, a company that is active -- in a relevant, useful sort of way -- on social networks will attract job seekers, especially younger workers, who likely have the expectation that if you're a company doing business you're doing some of that business on social networks.

5. Intelligence.

Although there is much more chatter on social networks about consumer-oriented products and issues, people are talking about business. They're talking about your space, your category, your competitors, your company and maybe even your company's products and level of service. You want to make sure that you are listening for these discussions, then collecting and analyzing the resulting data to make business decisions moving forward.

Is your organization making use of social? Please let us know in the comments section below.

Follow Deb Donston-Miller on Twitter at @debdonston.

InformationWeek is conducting a survey on cloud computing usage and optimization strategies. Take our InformationWeek 2013 State of Cloud Computing Survey now. Survey ends Jan. 25.



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.