Big Data. Big Decisions
 InformationWeek
Special Coverage Series


LinkedIn Launches Ads API

LinkedIn Ads API opens the door for a new class -- and a new scale -- of B2B social advertising and marketing campaigns on the site.

By Debra Donston-Miller InformationWeek
November 29, 2012 10:10 AM

The BrainYard's 7 Social Business Leaders Of 2012
The BrainYard's 7 Social Business Leaders Of 2012
(click image for larger view and for slideshow)
LinkedIn has made a series of moves in the last couple of months that have breathed new social life into the professional networking site, including updated Profiles and the Endorsements feature. In its latest move in a more socially focused direction, LinkedIn has announced a new Ads API.

The LinkedIn Ads API is similar in concept to Facebook's Ads API, which Facebook made available in August 2011. Likewise, the LinkedIn Ads API opens the door for a new class -- and a new scale -- of social advertising and marketing campaigns on the site, although LinkedIn programs would likely lean more B2B than B2C.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

In a blog post, LinkedIn noted that access to the API was one of the most-requested features by LinkedIn advertisers, who before now have had access only to a limited self-service interface. With the new API, developers will have more flexibility to customize ads, as well as to increase the breadth and scope of ads across platforms.

[ Don't miss crucial business opportunities. Read LinkedIn: How To Take Advantage of Recent Changes. ]

"LinkedIn Ads' self-service platform is increasingly becoming the advertising platform of choice for B2B marketers," said LinkedIn's Jen Weedn in the company blog post. "Whether your objectives are to increase brand awareness, automate campaign creation or drive leads, working through our new API program gives you the flexibility and confidence that your marketing investment is efficient, targeted and measurable. We're also making premium support available for our approved developers who will have access to LinkedIn's online operations and sales team, developer marketing programs, as well as a direct line of communication with our product management team."

LinkedIn also announced that the API program was launching with Adobe, Bizo and Unified among a set of "premier social marketing agency partners."

Organizations that are interested in the LinkedIn Ads API can find out more at the Partner Programs page or at linkedin.com/ads.

Follow Deb Donston-Miller on Twitter at @debdonston.

Attend Online Marketing Summit San Diego, Feb. 11-13, and gather the insights and strategies you need to make the right online marketing choices to deliver the most value for your business. OMS San Diego offers three days of inspiration, connections, and practical learning. Register using code WETW01 and to secure the early bird rate on Conference Passes or a free Expo Pass.

, join the conversation


Related Reading

News

Commentary

Most Popular

On the Web

Slideshow

Video



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.