Big Data. Big Decisions
InformationWeek
Special Coverage Series


How To Choose Between Google AdWords And Facebook Ads

Not Easy

(Page 2 of 2)

Facebook's lower click-through rates--which Kim said can be as much as 1,000 times lower than comparable Google campaigns--make their ads more like traditional display ads, just with much, much better audience targeting. Put another way: Facebook Ads could be better at building a brand or delivering a marketing message over a longer period of time, but Google offers a clearer opportunity to capture consumers that are itching to buy now.

"[Google users] are trying to find exactly what they're looking for, so that leads to high click-through rates and high conversion rates, because they have a pain or some question that they're trying to resolve when they're doing that search," Kim said. "[Advertisers] are capturing that intent right at the right time."

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Ease Of Use

Kim wouldn't describe either platform as easy for do-it-yourselfers: "They're both quite challenging," he said. But Facebook could have a slight edge over AdWords because so many people have personal accounts and therefore are generally familiar with the user interface. (Those that use AdWords for fun are a lonely bunch.) Google recently launched AdWords Express to appeal to SMBs without the time or interest in navigating the complexities of the flagship platform.

[ Google may offer some unusual advertising opportunities through recent acquisitions, such as Google Gobbles Zagat Yum. Yum. ]

"Facebook might actually be easier," Kim said. "The reason is because Google has just such tremendous depth and breadth of features and functions. Every week there's a new AdWords feature or function that you need to learn about."

Kim added that the SMBs he works with tend to be "overwhelmed" by AdWords. In either case, he points out that effective campaigns--regardless of channel--require SMB marketers to move seamlessly between different roles such as creative director, business analyst, media buyer, and the like--all while running their actual day-to-day operations.

Audience Granularity

While Facebook's recently announced updates don't directly change its advertising platform, Kim said they're likely to make that granularity, well, more granular. More data on what people eat, watch, read, and buy could lead to more targeted advertising opportunities.

"I think that will trickle down to the advertising platform to provide greater granularity in terms of the ability to segment their audience and present different types of ads and offers to users," Kim said. "Facebook will have more data."

Google, too, is all about granularity--it's just that it remains more keyword-driven. And though keywords remain the lifeblood of advertising on Google, it's not like AdWords doesn't provide other means of targeting an audience--all those features and functions Kim mentioned have to do something, right? Geo-targeting and language specification are two basic ones.

Coming Attractions

Beyond the immediate AdWords ecosystem, Kim said Google has been offering more demographic-based advertising options via its Google Display Network. Specifically, Kim said there's more emphasis and interest around retargeting--sometimes called behavioral marketing or remarketing--which involves showing ads to users based on their past Web activity. Kim said that has particularly powerful implications for Google (and its advertisers) because those ads can follow their intended audience through the company's vast network of partner sites. (Facebook Ads, on the other hand, only show up within Facebook.) In the past, those ads were based on the content of the Web page. Now, they can be based on the user's past behavior.

"It targets audiences--so it's starting to sound a little like Facebook," Kim said. "It's kind of a shift in Google's targeting strategies."

Audience-driven (rather than keyword-based) ads on Google are almost certain to increase via another channel, too: Google+. As the young social site matures, expect additional advertising opportunities as a result. For the time being, though, Facebook still has the edge on audience accuracy.

"On Facebook, you actually specify what school you went to and what you like, whereas on Google they're trying to infer it based on your surfing behavior," Kim said. "However, now that they have Google+, they're going to have the same ability to target your interests and memberships just how Facebook does."

Attend Enterprise 2.0 Santa Clara, Nov. 14-17, 2011, and learn how to drive business value with collaboration, with an emphasis on how real customers are using social software to enable more productive workforces and to be more responsive and engaged with customers and business partners. Register today and save 30% off conference passes, or get a free expo pass with priority code CPHCES02. Find out more and register.

« Previous Page | 1 2  


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.