Keyword Research Beyond the Ordinary at SMX West

by DigitalAlex on January 25, 2010

I am speaking at SMX WestI’m very excited to announce that I’ll be speaking at SMX West this year. I’m on the Keyword Research: Beyond the Ordinary Panel with a distinguished group (see below).

Stop by on day 1 at 3:00 to hear me speak or say hello in the expo hall where I’ll be manning the ClickEquations booth. Register for SMX today to get the discounted rate with the code smx10click

Here’s a preview from a ClickEquations webinar, Master Search Queries to Save Money and Increase Conversions. You can also check out this search query article.

Keyword Research: Beyond The Ordinary – You’ve mastered the tools. You’ve built out your keyword portfolio, keeping the winners and deleting the losers. How do you take it to the next level? This session looks at innovative approaches to keyword research that help you find those really significant keywords your customers are searching for, uncover your competitors’ keywords, mine the long tail for those elusive but truly valuable obscure search terms, and expand your “virtual shelf space” in surprising and non-obvious ways.

Moderator:

  • Jennifer Laycock, Social Media Strategist & Editor-in-Chief, Search Engine Guide

Speakers:

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The State of Search Analytics

by DigitalAlex on January 18, 2010

This post originally appeared on Search Engine Watch, where I will be a (semi-regular) contributor

You can’t make money in web analytics just by looking at reports.” With that, SES Advisor and New York Times bestselling author Bryan Eisenberg set the stage for the state of analysis in search marketing.

As budgets flow from offline to online, they’re moving disproportionately to search. Search has always excelled at accountability, but as the spend increases the bar is being raised.

We all have and know what web analytics are. Data quantity isn’t the issue, action quantity is.

Matt Bailey (SiteLogic) summed it up perfectly with the word “velleity”. It means “the desire to do something, but not enough of a desire to take action.” It describes the feeling of marketers who have been burnt by reporting that isn’t actionable.

Over the course of the Analytics, Conversion and Attribution sessions during the first day at SES Chicago, the speakers each addressed three of the core challenges in fighting velleity and taking action on your data:

  1. Prioritization
  2. Segmentation
  3. Process

1. Prioritization
Web analytics has come a long way from the days of log file analyzers used by the IT department. Naturally, people tend to want to make tools bigger, faster and more complicated, however “if you have a tool, everything looks like a nail,” says Jim Sterne of eMetrics and the Web Analytics Association.

The problem is “what should I look at?” and “what do you actually analyze?”

Jim suggests you bucket and prioritize 4 ways

  1. Revenue that is at risk
  2. Anything the boss’s boss’s boss asks for
  3. Requests that do not overwhelm the department
  4. Analysis that requires an analyst rather than simply being self-served

Your job is to find a specific process and optimize that, for example a shopping cart, experience from a search campaign or lead generation page. Go to your data and ask “How can you help me optimize the process?”

In another session, Jim reminded us that traditional web analytics tools tell you “where the problem is and which one is most significant at the moment.” To really understand why, you have to augment those tools with usability testing and surveys.

In a nod to his upcoming book, Jim also shared a framework for prioritizing analysis for one of the most discussed topics at the conference–social media:

  • Reach – How many people could possibly see my message (blog mentions x blog readers)
  • Frequency – How often is my message being discussed, ex: comments on a blog post
  • Influence – The more authority the author, the bigger the halo effect and potential viral spread
  • Sentiment – Having lots of people talk about you is great… unless they say bad things. The tools aren’t great yet, so hire interns.
  • Outcomes – Did they take the action you wanted them to?

2. Segmentation
Of course, even if you prioritize your analysis, there is no such thing as an average user. People who come to your website aren’t looking for the exact same thing. They all have different needs and wants. We can’t treat visitors the same. Unique visitors aren’t all the same. Segmentation matters. We have to look at what people wanted when they came to the site.

But, as Matt Bailey (SiteLogic) says “analytics dashboards tend to be as usable as Ikea furniture instructions.” The cure for dashboards that suffer from average-itis is to segment.

Matt shared his 7 favorite tips:

  1. Create Keyword Buckets “Segments” – Start with the big buckets, e.g. digital cameras and then develop smaller buckets, e.g. digital cameras, professional digital cameras, etc.
  2. Segment Based On Acquisition (Channels) – Ask “which source is bringing the best traffic?” Matt shared an interesting a pattern that drives engagement: the more engaged a visitor was with a message about your company or product before they got to your site, the more likely they’ll be engaged after. Twitter is at the bottom of the this inverted pyramid: Blogs & Articles, YouTube, Forums, Search, Social News and Twitter.
  3. Segment Your Bounce Rates – Typically if it’s high, it’s a word that means something totally different in another industry. You have to look at the context. Sometimes it’s not just their intent, sometimes it’s your design (ex: Fluid width design on a large screen monitor)
  4. Segment Your Content - Divide your analysis by Persuasive pages (which ones drive conversions), entry pages, time on page and search behavior
  5. Segment Behavior – Divide the behavior on your site, but make it more accessible by giving the data friendly names for the audience your presenting to (ex: someone with “O” in their title would understand)
  6. Segment Entry Points – You could have the right ranking on the wrong page
  7. Take Action – After you segment, take some action!

In his 21 Secrets of Top Converting Websites (which he will deliver as the keynote of SES London), Bryan emphasized how important it is to also analyze trends by segments in search. For example, focus on “what’s changed” reports of keywords that are rising and falling the fastest by CPC or Revenue, instead of just analyzing the top 10.

3. Process
Of course, prioritization and segmentation are both part of a larger web analytics process. As Bryan reminded us, “to do web analytics correctly, you have to make a to do list regularly.” An actionable list addresses:

  • What marketing efforts or parts of your site have challenges
  • What you think needs to be improved
  • What things you want to test
  • What efforts you should do less of
  • What efforts you should do more of

The core of an actionable web analytics process is data driven decision making. Nothing does that better than testing, using the tools that fit your questions and budget:

Part of a successful process is optimizing for your conversion rate, which often hovers around 2%. Dr. Phil Mui challenged us to expand by process by asking “How do you measure success for the rest of the 98%?”

First, map out the micro-conversions that fall into that 98% for you business type, for example:

  • Ecommerce – product research account signups, contact us
  • Non-profits – volunteer leads, promotion of the cause
  • Video Sites – Account registration, newsletter signups, premiums account signups
  • Blogs – Links to your blog, comments on your posts

It’s also important that you optimize holistically in your process. Don’t just test elements on your landing page; also test which landing page choice makes sense, for example: a category page vs. a product page.

You can’t forget to test what people see before they get to your site. Optimize search creatives for conversion. Test multiple ads and measure which one drove conversion.

Regardless of the tools and process you use, the message every speaker conveyed is that more action is better than more data, so measure, focus, optimize and repeat.

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predictive analytics worldActionable analysis is hot topic in the web analytics community. But how much analysis looks forward instead of backward?

That’s the realm of predictive analytics, a little covered topic in the measurement community. I interviewed Dr. Eric Siegel, President of Prediction Impact, to introduce the topic, explain its role in search marketing and talk about the upcoming Predictive Analytics World conference (PS: use the exclusive discount code ALEXCODC09 to get 15% off a 2 day pass))

Can You Briefly Define Predictive Analytics?

Predictive analytics is business intelligence technology that produces a predictive score for each customer or prospect. Assigning these predictive scores is the job of a predictive model which has, in turn, been trained over your data, learning from the experience of your organization.

Predictive analytics optimizes marketing campaigns and website behavior to increase customer responses, conversions and clicks, and to decrease churn. Each customer’s predictive score informs actions to be taken with that customer. Business intelligence just doesn’t get more actionable than that.

Who is Using Predictive Analytics in Search Marketing Today? How?

Yahoo! was reported as using predictive analytics to select website content most suited (personalized) to each user — i.e., most likely to elicit a response, although I am not certain if this applies within their search product specifically.

Google is in the game, as covered in this Predictive Analytics World case study last February:
Predicting Bounce Rates in Sponsored Search Advertisements [PDF]

Social networking giants are targeting ads analytically: http://www.nytimes.com/2007/09/18/technology/18myspace.html?_r=1&oref=slogin

One “killer application” of predictive analytics for search is to dynamically select the landing page most likely to lead to conversion, based on what is known about the visitor the moment they first come (cookies, search string, time of day, geographical location, etc.). More generally, the business applications surveyed in the article I link to below will provide value for most business conducting search optimization.

What Tools Can Help Search Marketers Use Predictive Analytics?

Applying predictive analytics always starts with expertise. If your organization has not yet established internal competency, a good place to start is a training program, plus enlisting professional services to get you started.

The choice of tool can be made at a later stage in the process; there are a large number of options, and the choice often depends on many factors determined only the project has begun. That is to say, this is a hard question to answer – let’s hear how the vendors would address this (readily accessible at PAW’s expo).

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The MBA Guide to Search Marketing

by DigitalAlex on August 22, 2009

Budgets are moving online and moving to search marketing faster than any other channel. Today’s MBA’s need to understand what paid and organic search are and how they fit into the marketing mix. This presentation discussed the channels conceptually and gives practical tips to use them.

View more presentations from Alex Cohen.

Here are the resources and links from my presentation

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I No Longer Work at Commerce360

by DigitalAlex on April 12, 2009

By WTL Photos - http://www.flickr.com/photos/wtlphotos/

By WTL Photos - http://www.flickr.com/photos/wtlphotos/

I’m happy to report that I no longer work at Commerce360.  I had a good time while it lasted, but it was time for something different.

And that something different is ClickEquations.  We’ve re-branded Commerce360 as ClickEquations to focus on our advanced pay per click software.  (Sorry, it was a little late for April Fool’s but I needed a dramatic intro :-) )

This is a bit of a personal post, which I almost never do, but worth reading if you care about paid search.

A Trip Down Memory Lane

Back in 2007, I left Refinery (now G2 Philly, a division of Grey Interactive) to join Commerce360.  At the time, I was still a full time web analyst with strategic aspirations.

Commerce360 was then focused on being the next generation of agency: a team of smart people optimizing across channels based with data driven decisions.  I joined the team as an analyst on a course toward full time strategy.But, as I soon learned is the norm for startups (this is my first), we shifted focus entirely on paid search and SEO.

The Birth of ClickEquations

clickequationsThe vision of the company was always to have smart people supported by killer technology.  Search is among the most data intensive channels out there, so it was the obvious place to start looking for a tool that could do the heavy lifting while we focused on strategy and optimization.

After surveying the market, we just couldn’t find anything good enough, including Omniture Search Center.  Too much money had been spent building tools focused on a search engine-centric view of managing paid search instead of a customer and practitioner centric view.  It was a completely flawed way of attacking the problem and even the “best” of what was on the market was an expensive and clumsy solution at best.  So we hired a development team and began building our own tool: ClickEquations.

A Slight Career Detour

Search marketing is strategic, but it’s not the same as developing cross-channel strategy. Without a pure strategist role, I ended becoming a strange hybrid: part Strategic Account Manager (client relations), part multivariate tester, part guy-who-does-random-things.

bewitchedWhen people ask why I got into advertising and marketing, I give them the same answer: Bewitched.  I used to watch the show as a kid and was strangely fascinated with the ad lifestyle (portrayed as a sanitized and more kitsch version of today’s Mad Men). I figured it was 3 martini lunches and everyone got to do fun pitches all of the time, right?

Without nose twitching magic powers, Account Management is a fairly high pressure job.  You’re the middle man between clients with high expectations (sometimes disproportionate to what they’re paying) and limited budgets and a services team with limited time and all of the pressure for results.

On the plus side, it’s a great way to learn a lot of businesses quickly, master contracts (write 20 contracts in 6 months and you pick up a few things) and practice the fine art of expectations management:  “Yes, we can do that, but we’ll have to push this off and cut that down by 20%”.

I worked on SEO and paid search engagements with clients from startups to large corporations.  Perhaps the most rewarding project for me was a multivariate testing engagement with Comcast.net, one of the most visited sites on the Internet in the US. It was my first opportunity to dive deeply into testing on a site with both large enough traffic to get statistically significant results from large, full factorial multivariate tests and with a client who trusted us to take most of our recommendations and make all of the pieces line up.  More on this in a future post…

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The Hidden Web Analytics Data You Should Look At

February 16, 2009

You could be losing visitors and business due to site issues that never register in your web analytics tool.
If you’re anything like me, you tend to look at your site’s performance mostly through web analytics data (maybe with some voice of the customer/survey data included). The problem is that web analytics tools don’t have all [...]

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The Secret To A Web Analytics Career: Stop Learning Web Analytics!

January 20, 2009

This post originally appeared on Corry Prohen’s blog.  You might also enjoy my 10 tips on learning web analytics article and my advice about writing an analytics resume.
Eventually, your web analytics career is going to hit a wall.  Learning interactive marketing as a web analyst, you start with the numbers and then seek context.  When [...]

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Learning Web Analytics – The Top 10 Things I Wish I Knew When I Started

January 16, 2009

On the topic of web analytics careers, this is a reprint of an article about web analytics training that originally appeared at the WAA.  If you could start your career over, what would you do?
1. You are Not the First Web Analyst – You do not need to invent web analytics. Somebody has encountered the [...]

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Mulling Over Attribution in Analytics

January 13, 2009

I’ve been thinking about attribution recently — how your software decides which channel gets credit for conversion (see my article on campaign analytics).  Attribution is really a question of credit and influence.  Which promotion contributed to that sale?
I believe that previous ad clicks contribute to brand awareness and can drive future searches and response.  But, [...]

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