Google 50 changes for March

Here’s our latest installment of search quality highlights, with another 50 changes to report for March. We’re starting to get into a groove with these posts, so we’re getting more and more comprehensive as the months go by. New for this month, we’ve published uncut video from our search quality meeting, which gives a great flavor for how these decisions get made.
Here’s the list for March:

  • Autocomplete with math symbols. [launch codename "Blackboard", project codename "Suggest"] When we process queries to return predictions in autocomplete, we generally normalize them to match more relevant predictions in our database. This change incorporates several characters that were previously normalized: “+”, “-”, “*”, “/”, “^”, “(“, “)”, and “=”. This should make it easier to search for popular equations, for example [e = mc2] or [y = mx+b].
  • Improvements to handling of symbols for indexing. [launch codename "Deep Maroon"] We generally ignore punctuation symbols in queries. Based on analysis of our query stream, we’ve now started to index the following heavily used symbols: “%”, “$”, “\”, “.”, “@”, “#”, and “+”. We’ll continue to index more symbols as usage warrants.
  • Better scoring of news groupings. [launch codename "avenger_2"] News results on Google are organized into groups that are about the same story. We have scoring systems to determine the ordering of these groups for a given query. This subtle change slightly improves our scoring system, leading to better ranking of news clusters.
  • Sitelinks data refresh. [launch codename "Saralee-76"] Sitelinks (the links that appear beneath some search results and link deeper into the respective site) are generated in part by an offline process that analyzes site structure and other data to determine the most relevant links to show users. We’ve recently updated the data through our offline process. These updates happen frequently (on the order of weeks).
  • Improvements to autocomplete backends, coverage. [launch codename "sovereign", project codename "Suggest"] We’ve consolidated systems and reduced the number of backend calls required to prepare autocomplete predictions for your query. The result is more efficient CPU usage and more comprehensive predictions.
  • Better handling of password changes. Our general approach is that when you change passwords, you’ll be signed out from your account on all machines. This change ensures that changing your password more consistently signs your account out of Search, everywhere.
  • Better indexing of profile pages. [launch codename "Prof-2"] This change improves the comprehensiveness of public profile pages in our index from more than two-hundred social sites.
  • UI refresh for News Universal. [launch codename "Cosmos Newsy", project codename "Cosmos"] We’ve refreshed the design of News Universal results by providing more results from the top cluster, unifying the UI treatment of clusters of different sizes, adding a larger font for the top article, adding larger images (from licensed sources), and adding author information.
  • Improvements to results for navigational queries. [launch codename "IceMan5"] A “navigational query” is a search where it looks like the user is looking to navigate to a particular website, such as [New York Times] or [wikipedia.org]. While these searches may seem straightforward, there are still challenges to serving the best results. For example, what if the user doesn’t actually know the right URL? What if the URL they’re searching for seems to be a parked domain (with no content)? This change improves results for this kind of search.
  • High-quality sites algorithm data update and freshness improvements. [launch codename “mm”, project codename "Panda"] Like many of the changes we make, aspects of our high-quality sites algorithm depend on processing that’s done offline and pushed on a periodic cycle. In the past month, we’ve pushed updated data for “Panda,” as we mentioned in a recent tweet. We’ve also made improvements to keep our database fresher overall.
  • Live results for UEFA Champions League and KHL. We’ve added live-updating snippets in our search results for the KHL (Russian Hockey League) and UEFA Champions League, including scores and schedules. Now you can find live results from a variety of sports leagues, including the NFL, NBA, NHL and others.
  • Tennis search feature. [launch codename "DoubleFault"] We’ve introduced a new search feature to provide realtime tennis scores at the top of the search results page. Try [maria sharapova] or [sony ericsson open].
  • More relevant image search results. [launch codename "Lice"] This change tunes signals we use related to landing page quality for images. This makes it more likely that you’ll find highly relevant images, even if those images are on pages that are lower quality.
  • Fresher image predictions in all languages. [launch codename "imagine2", project codename "Suggest"] We recently rolled out a change to surface more relevant image search predictions in autocomplete in English. This improvement extends the update to all languages.
  • SafeSearch algorithm tuning. [launch codenames "Fiorentini", “SuperDyn”; project codename "SafeSearch"] This month we rolled out a couple of changes to our SafeSearch algorithm. We’ve updated our classifier to make it smarter and more precise, and we’ve found new ways to make adult content less likely to appear when a user isn’t looking for it
  • Tweaks to handling of anchor text. [launch codename "PC"] This month we turned off a classifier related to anchor text (the visible text appearing in links). Our experimental data suggested that other methods of anchor processing had greater success, so turning off this component made our scoring cleaner and more robust.
  • Simplification to Images Universal codebase. [launch codename "Galactic Center"] We’ve made some improvements to simplify our codebase for Images Universal and to better utilize improvements in our general web ranking to also provide better image results.
  • Better application ranking and UI on mobile. When you search for apps on your phone, you’ll now see richer results with app icons, star ratings, prices, and download buttons arranged to fit well on smaller screens. You’ll also see more relevant ranking of mobile applications based on your device platform, for example Android or iOS.
  • Improvements to freshness in Video Universal. [launch codename "graphite", project codename "Freshness"] We’ve improved the freshness of video results to better detect stale videos and return fresh content.
  • Fewer undesired synonyms. [project codename "Synonyms"] When you search on Google, we often identify other search terms that might have the same meaning as what you entered in the box (synonyms) and surface results for those terms as well when it might be helpful. This month we tweaked a classifier to prevent unhelpful synonyms from being introduced as content in the results set.
  • Better handling of queries with both navigational and local intent. [launch codename "ShieldsUp"] Some queries have both local intent and are very navigational (directed towards a particular website). This change improves the balance of results we show, and helps ensure you’ll find highly relevant navigational results or local results towards the top of the page as appropriate for your query.
  • Improvements to freshness. [launch codename "Abacus", project codename "Freshness"] We launched an improvement to freshness late last year that was very helpful, but it cost significant machine resources. At the time we decided to roll out the change only for news-related traffic. This month we rolled it out for all queries.
  • Improvements to processing for detection of site quality. [launch codename "Curlup"] We’ve made some improvements to a longstanding system we have to detect site quality. This improvement allows us to get greater confidence in our classifications.
  • Better interpretation and use of anchor text. We’ve improved systems we use to interpret and use anchor text, and determine how relevant a given anchor might be for a given query and website.
  • Better local results and sources in Google News. [launch codename "barefoot", project codename "news search"] We’re deprecating a signal we had to help people find content from their local country, and we’re building similar logic into other signals we use. The result is more locally relevant Google News results and higher quality sources.
  • Deprecating signal related to ranking in a news cluster. [launch codename "decaffeination", project codename "news search”] We’re deprecating a signal that’s no longer improving relevance in Google News. The signal was originally developed to help people find higher quality articles on Google News. (Note: Despite the launch codename, this project has nothing to do with Caffeine, our update to indexing in 2010).
  • Fewer “sibling” synonyms. [launch codename "Gemini", project codename "Synonyms"] One of the main signals we look at to identify synonyms is context. For example, if the word “cat” often appears next to the term “pet” and “furry,” and so does the word “kitten”, our algorithms may guess that “cat” and “kitten” have similar meanings. The problem is that sometimes this method will introduce “synonyms” that actually are different entities in the same category. To continue the example, dogs are also “furry pets” — so sometimes “dog” may be incorrectly introduced as a synonym for “cat”. We’ve been working for some time to appropriately ferret out these “sibling” synonyms, and our latest system is more maintainable, updatable, debuggable, and extensible to other systems.
  • Better synonym accuracy and performance. [project codename "Synonyms"] We’ve made further improvements to our synonyms system by eliminating duplicate logic. We’ve also found ways to more accurately identify appropriate synonyms in cases where there are multiple synonym candidates with different contexts.
  • Retrieval system tuning. [launch codename "emonga", project codename "Optionalization"] We’ve improved systems that identify terms in a query which are not necessarily required to retrieve relevant documents. This will make results more faithful to the original query.
  • Less aggressive synonyms. [launch codename "zilong", project codename "Synonyms"] We’ve heard feedback from users that sometimes our algorithms are too aggressive at incorporating search results for other terms. The underlying cause is often our synonym system, which will include results for other terms in many cases. This change makes our synonym system less aggressive in the way it incorporates results for other query terms, putting greater weight on the original user query.
  • Update to systems relying on geographic data. [launch codename "Maestro, Maitre"] We have a number of signals that rely on geographic data (similar to the data we surface in Google Earth and Maps). This change updates some of the geographic data we’re using.
  • Improvements to name detection. [launch codename "edge", project codename "NameDetector"] We’ve improved a system for detecting names, particularly for celebrity names.
  • Updates to personalization signals. [project codename "PSearch"] This change updates signals used to personalize search results.
  • Improvements to Image Search relevance. [launch codename "sib"] We’ve updated signals to better promote reasonably sized images on high-quality landing pages.
  • Remove deprecated signal from site relevance signals. [launch codename "Freedom"] We’ve removed a deprecated product-focused signal from a site-understanding algorithm.
  • More precise detection of old pages. [launch codename "oldn23", project codename “Freshness"] This change improves detection of stale pages in our index by relying on more relevant signals. As a result, fewer stale pages are shown to users.
  • Tweaks to language detection in autocomplete. [launch codename “Dejavu”, project codename "Suggest"] In general, autocomplete relies on the display language to determine what language predictions to show. For most languages, we also try to detect the user query language by analyzing the script, and this change extends that behavior to Chinese (Simplified and Traditional), Japanese and Korean. The net effect is that when users forget to turn off their IMEs, they’ll still get English predictions if they start typing English terms.
  • Improvements in date detection for blog/forum pages. [launch codename "fibyen", project codename "Dates"] This change improves the algorithm that determines dates for blog and forum pages.
  • More predictions in autocomplete by live rewriting of query prefixes. [launch codename "Lombart", project codename "Suggest”] In this change we’re rewriting partial queries on the fly to retrieve more potential matching predictions for the user query. We use synonyms and other features to get the best overall match. Rewritten prefixes can include term re-orderings, term additions, term removals and more.
  • Expanded sitelinks on mobile. We’ve launched our expanded sitelinks feature for mobile browsers, providing better organization and presentation of sitelinks in search results.
  • More accurate short answers. [project codename “Porky Pig”] We’ve updated the sources behind our short answers feature to rely on data from Freebase. This improves accuracy and makes it easier to fix bugs.
  • Migration of video advanced search backends. We’ve migrated some backends used in video advanced search to our main search infrastructure.
  • +1 button in search for more countries and domains. This month we’ve internationalized the +1 button on the search results page to additional languages and domains. The +1 button in search makes it easy to share recommendations with the world right from your search results. As we said in our initial blog post, the beauty of +1’s is their relevance—you get the right recommendations (because they come from people who matter to you), at the right time (when you are actually looking for information about that topic) and in the right format (your search results).
  • Local result UI refresh on tablet. We’ve updated the user interface of local results on tablets to make them more compact and easier to scan.
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New Study Suggests How to Leverage Consumer Motivations for Email and Facebook Marketing

Marketers live at the powerful intersection of research, psychology and sales. We study people’s motivations so we can convince them to buy our products and services.

Our aim to influence public opinion on behalf of brands and business is an endgame shared by all of society’s major institutions, from politics to religion to parenting.

While underlying human motivations don’t change much, our means of communicating do. The research around how consumers use media to interact with each other and with businesses give us marketers hints on the tone and message we can use for marketing on each channel.

A new study gives us another data point on what motivates consumers to interact with brands on two specific channels: email and Facebook.

Here are the findings from eMarketer by the numbers.

Reasons U.S. email users subscribe to emails from a business or nonprofit:

Reasons U.S. Facebook users “like” a business or nonprofit:

So what are the reasons consumers give for aligning with brands via email and social media? Receiving offers and discounts is the top reason people subscribe to emails and engage with brands on social media channels. Supporting the business and showing others that they support the brand is at the lower end of the motivational spectrum. Now that we know what drives the behavior, let’s look deeper into the motivation.

The most successful brands today understand and leverage human motivations to create a loyal following. Stories of businesses that have successfully created a cult from a brand are at the center of Douglas Atkin’s The Culting of Brands: When Customers Become True Believers.

Before we go any further, know that “cult” is not a term used here to denote a group of gullible or flawed individuals. Cult dynamics are a normal part of society of which we all take part. Group membership and identification is at the core of the term, and is what I’m referring to here. Atkins dissects the process of building and sustaining a brand cult so that the process may be duplicated.

In a chapter titled “Commitment Is A Two-Way Street”, we get some insight into the importance of offering discounts to loyal subscribers:

“As with any loving and real relationship, a company must continually commit to its customers, renew its beliefs with real product and service experiences every quarter. Apathy is the enemy in a cult relationship. Every action, every offering, every communication must be scrutinized for its commitment to the membership.”

People are more likely to cultivate relationships that feel that all parties are equal contributors to each others’ needs. Offers and discounts are one way a business can demonstrate a commitment to providing value to customers. Again, from the same chapter:

“If [the customer's] commitment is not matched by an equivalent reward, including the feeling that the leadership is as committed and has paid an equal price, then the results can be disastrous for the cult. This concept of ‘the trade of commitment’ is equally true in the world of business. For cultlike devotion to a brand, there must be a corresponding investment from the company.”

Remember that every subscriber to your email list and every fan of your brand on Facebook is a hard-won follower who must not be taken for granted. In every communication you have with them, be clear about what you’re giving them to make their life better. Research like the eMarketer report gives us the data to give our customers exactly what they’re looking for when they join the mailing list and like our Facebook pages. Any failure to deliver on your part breaks the mutual commitment you made to each other and weakens your standing as a brand.

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Track SEO Organic Rankings with Google Analytics

Filter 1: This filter will extract the ranking data from the cd parameter and store it temporarily into custom field 1.

GA Filter 1

Filter 2: This filter will then extract the data from custom field 1 and rewrite the campaign’s keyword filter field by appending the organic ranking data to the pre-existing campaign keyword data.

Note: This will overwrite your keyword filter field. If you wish to preserve the original format, I would then suggest you implement these filters in a new profile.

GA Filter 2

Filter 1 must be above filter 2 in the filter manager in order for this to work. Otherwise custom field 1 will have no data for filter 2 since it is only assigned a value from filter 1.

This is the result of how it looks like in your keyword reports. You can see that each organic keyword that drove traffic to your site now has organic ranking data next to it.

GA Keyword Report

It is important to understand that when you see an organic ranking > 10 in your keyword reports, it does not necessarily mean that it is not on the first page. The best way to check this is to do a manual search and see whether your listing is outside of the first page or is on the first page but with many other listing types.

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Stop Paying for Stupid Clicks: Negative Keywords for Positive ROI

One of my guilty pleasures is looking through the search query reports (SQR) of an AdWords campaign for the cringe-worthy search queries that led to someone clicking on a PPC ad. Really Google? You felt thatgoat transportation cost was related to my keyword of freight costs? Or that a babe cam search should show my ad for digital camera? Sadly, these matches and worse can happen if you lack proper negative keywords.

This screenshot shows what happens when your campaign does not have enough negative keywords. It is just as important to have negative keywords as it is to have regular keywords.

  • People really DO click on anything and everything, including these off-target ads, and the advertiser gets charged for that click.
  • Most people are smart enough to not click, so the advertiser isn’t directly charged. They just get hit when it comes to their quality score (affecting your cost per click and ad ranking) , which is based in part on your clickthrough rate (CTR). If nobody is clicking on your ads, Google is apt to lower your quality score and increase your cost per click.

I’m going to help you brainstorm and greatly expand your negative keyword list. Evan Steed, co-founder ofMeathead Movers, has been brave enough to let me look at his AdWords account and share some real-life examples with you here (and in my February 29th SMX presentation) from an account with no negative keywords. Meathead Movers is based near my hometown on the central coast of California, and they do some awesome things in the community, including moving women out of domestic violence situations for free. That’s always impressed me, and I’m glad to be able to give something back to a local business.

Start with the Search Query Report

Download your search query report, and review what people actually entered to trigger your ad. You’ll find some good candidates for negative keywords here, and you can start developing organized negative keyword lists.

Go Beyond the Search Query Report to Find Negative Keywords

I use the search query report for gathering negatives I had missed, and to find ideas for entire classes of negative keywords. This all started when I found "honeymoon with a stranger" in a search query report, found out it was a movie title, and got the idea to search IMDB for other titles containing honeymoon. Suddenly I had "zombie honeymoon", "honeymoon for three", and a large variety of other keywords in my negative keyword list. I saw lots of honeymoon resort ads showing for these queries, and realized not too many people were using this method, and started thinking of other ways to find negative keywords.

I prefer to have a good negative keyword strategy in place before I even launch a campaign, to prevent some of these stupid clicks from ever happening. Here are some of the resources I use.

The first resource is an engaged brain. Words often have many meanings, and this can cause you trouble. If you are marketing only to the United States, it’s tempting to dump a list of all countries except the US into a list, but remember that Georgia is both a US State and a country. Also, make sure that you don’t use the same word in your campaign as in your negative keyword list. Microsoft AdCenter has a nice feature that will alert you to these keyword conflicts.

Existing Negative Keyword Lists

Review existing negative keyword lists that other people have generated. If you do nothing else, review these lists. You’ll find near-universal keywords (like ebay, craigslist, sex, porn), keywords to exclude job seekers (resume, position, salary, job), keywords to exclude information seekers (how to, about, what is, how do I), and many more.

Geography Lists

This is helpful for excluding people searching outside of your area of service. Even though Meathead geo-targeted their ads to appear only where they offered service (they only offer moving services in the state of California), people are looking to move from California to another state. Lists like this are also helpful in building your regular keyword list, as you can easily find all of the counties in a state, and all of the cities in each county, and develop targeted ad groups for your product or service.

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Exploring the New Features in Bing Webmaster Tools

Bing recently announced some pretty cool new features within their Webmaster Tools, so in this blog post we are going to delve a little deeper to see exactly what these tools are capable of.

The Markup Validator (Beta)

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Found within the ‘Crawl’ tab of BWMT, the Beta Markup tool works in a similar way to the Google rich snippets testing tool extracting the following elements from a specified URL:

  • Microdata
  • Microformats
  • RDFa
  • Schema.org
  • pen Graph

The inclusion of the open graph is a nice touch, and I can see this coming in handy. Upon submitting a URL, we are presented with a neat extract of any featured markup. Let’s use imdb.org as an example:

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However other than extracting elements from a page, there seems to be little actual validation taking place. There are no references to missing elements for example, or whether the mark up could potentially generate a rich snippet.

Let’s take a closer look at a URL with incomplete mark up. In the following example an “fn” field is missing for the hproduct element of a page, causing a flag to be raised within Google’s testing tool:

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However pasting this same URL within the Bing markup validator just produces the below:

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The URL actually being tested here contains hreview-aggregate and extensive use of hreview but there are no references within the Bing Validator, so results are also incomplete.

I really want to like this tool, but I need jam in my Victoria sponge – as this is still in a Beta format, fingers crossed for an update (or perhaps a rename).

Bing Keyword Research Tool

So Bing have finally released their own keyword tool:

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Overview of features:

  • Broad/Exact (select ‘strict’ for exact) match keyword search volumes
  • 6 month data history (you can select any date range within this period)
  • Export data for a max of 100 keywords at a time
  • Filter by country and language
  • History feature to track previous research queries

A very clean and simple to use interface but a shame that the data isn’t yet available via an API as there is going to be quite a bit of heavy lifting if you’re generating a substantial keyword research campaign, but none the less we now have some data to play with from Bing directly.

There are a ton of awesome posts to check out on SEOmoz that go into detail about the keyword research process, so I’m not going to go into great detail here, but with the data available from Bing I would be looking to:

  1. Consolidate data into a single spreadsheet
  2. Obtain current rankings for each keyword in both Bing and Google
  3. Use the Google Adwords API to extract monthly search volume for each keyword
  4. Using Google analytics, marry up keywords and associated traffic
  5. Break down keywords into meaningful categories
  6. Use pivot tables/charts to compile this data for identifying key opportunities (low hanging fruit) in both search engines:
    1. Along one axis display separated search volumes for both Google and Bing, also traffic from analytics
    2. On the other axis display current ranking position in both Google and Bing
    3. Filter this chart by ranking between position 5 and 20.

For illustration purposes here is a quick mock up of how this can be developed:

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The numbers along the bottom reflect specific keywords, but for demonstration purposes these have been labelled as numbers.

Although the keyword data from Bing isn’t yet available within an API, Bing has released an API for the rest of the data within Webmaster Tools (looking forward to having a play around with this).

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11 Google Analytics Tricks to Use for Your Website

Do you know what is the most common question that I get every day on social media, forums or email?

"How to get insights about my Google Analytics data?" People approach me saying that they have a Google Analytics account for years, but they look only at page views or the number of visitors they get.

And this is wrong, this is so wrong when they have powerful free Web Analytics tools that they can leverage to learn more about their visitors and use those insights to better serve their visitors.

That is why in this article I am going to tell you some Google Analytics tricks that you should use for your website.

You can get the basics from my Google Analytics course, but right now I am going to take this one step further to help you get even more insights from Google Analytics.

Now, if you don’t use the latest version of Google Analytics, login into your account and click the [New Version] link from the top right corner of your screen before we get started.

New Google Analytics Version

This way I can be sure that you use the latest Google Analytics interface and you can follow this article along.

1. Setup Goals

Something that it’s quite a straight forward process, it’s actually neglected by the majority of people and this is the fact that after you install the tracking code on your website you need to setup goals.

Google Analytics Goals

The goals you setup for your website are the foundation of your website analysis because everything gravitates around your goals and conversion rates, the goals that are ultimately your business goals.

If you are wondering what goals you need to setup, start by asking yourself what is the purpose of your website. Is it an eCommerce site and you want to sells tangible goods, is it a blog where you want to make revenue from ads, do you sell eBooks or services? What is the main purpose of your site?

Then, once you figure this out you can go and start setting up goals base on your business objectives.

If this is still unclear for you, here are some examples that will give you traction:

  • eCommerce site – enable eCommerce tracking and start checking the conversion rates for your products
  • Engaged Visitors – people who spend more than one minute on your site
  • Readers – people who visit at least two pages on your site
  • Calls to action – use event tracking (see below in the article) to measure calls to action
  • Best performing ads – again, use event tracking to measure your best performing ads
  • Subscriptions – check how the visitors who subscribe to your list behave
  • Purchases – if you sell eBooks or courses you can get insights about your buyers

Later, these goals will help you track conversion rates and get insights about what are the main traffic sources that send you visitors which convert, what are the keywords who send you customers, which page your visitor use most to signup for your newsletter, where are your customers from and examples can continue.

Use these examples to get started, but please note that every website is unique and it will have unique goals.

2. Connect your Google Webmaster Tools account

Google Webmaster Tools is another free product from Google which helps you see data about your website such as the number of impressions for your search queries and their position in Google, the number of links to your site or diagnosis information reported by Google after crawling your website.

Google Analytics and Google Webmaster Tools

Additionally, you can check +1 metrics, your site performance or submit a sitemap for Google to index.

But what the really interesting thing is the fact that you can connect your Google Webmaster Tools account with your Google Analytics account and get access to the new Search Engine Optimization reports.

Once you do that, you will be able to see three new reports in your Google Analytics account: Queries, Landing Pages and Geographical Summary. They will help you learn more about your top performing search queries (keywords) and landing pages.

Then, you can use that data to identify:

  • Keywords with a low click through rate, but a good average position. Once you know them, you can change the meta title and description of your page to improve their click through rate.
  • Landing pages with a good click through rate, but a low average position. These pages can be easily run through an on-page optimization process that will improve their rankings.
  • What are the countries of your organic visitors and who your target market is.

To connect your site from Google Webmaster Tools in Google Analytics, go to the [Traffic Sources] section, select [Search Engine Optimization] and then one of the three reports.

At this stage you will see a page with the benefits of linking your accounts and a button where it says [Set up Webmaster Tools data sharing]. Click that button and then click [Edit] from the [Webmaster Tools Settings].

Then, you will be redirected to your Google Webmaster Tools where you can connect it with Google Analytics.

3. Enable Site Speed

Site speed is also a neat feature of Google Analytics that lets you see the load time of your pages. This will help you check what pages need your attention and determine you to look for ways of speeding up the load time of your pages.

If you wonder why this is important, I can tell you that the load speed of your pages can significantly improve your visitors experience on your site and it’s also a ranking factor in Google.

So a good load speed can make your visitors happy and can also increase your rankings.

Google Analytics Site Speed

Along with the number of Page Views and Bounce Rate, you can see the Average Page Load Time (in seconds) and the number of visits that have been used as a sample for every page on your website.

Additionally, if you click on the [Performance] tab, you can check different buckets of your page load time and see what is the average load speed of your pages.

Page Load Time Buckets

The [Map Overlay] will show you what is the load speed for different countries or territories.

If before you needed to add an additional code to your Google Analytics tracking, now that is no longer required and Google Analytics will automatically add data to your reports.

4. Enable Site Search

It’s a fact that visitors who use the search box on your site are more likely to convert than the ones who don’t. The reason why this happens is because they are more engaged with your website, with your content or your products and services.

Google Analytics Site Search

The beautiful thing about site search is that it lets you discover the exact keywords that people use to search for your products, so you can take this a step further and use them in your search engine optimization campaigns.

You can actually use the most important keywords that people use to search on your site to optimize your pages and drive more targeted traffic to your website.

Additionally, they might look for products or services that you do not have on your offer, but you can add them with little effort and increase your sales.

Or if you have a blog, site search is a great way to see what your readers are looking for and get a ton of article ideas out of them.

If you would like to enable site search on your website, first make sure that you have a search form on your site and then enable Site Search in Google Analytics.

5. Track Events

Event tracking is a powerful feature in Google Analytics that can help you track among others:

  • How many people download your eBook
  • What ads are performing better and who clicks on your ads
  • Which signup form converts better (sidebar, below the post, about page)
  • Who pauses, fast forward or stops a video
  • What errors a visitor encounters during the checkout

Google Analytics Site Search

But that is not all. Using the latest version of Google Analytics, you are also able to set these events as goals which can help you see the performance of your events based on different metrics.

Enabling event tracking it’s not a hard process. All you have to do is just add the code below next to your URL, before you replace the default values.

onclick="_gaq.push(['_trackEvent', 'category', 'action', 'opt_label', 'opt_value']);"

These default values will help you identify your events and here’s what they represent:

  • Category – You can use this element to identify what you want to track: eBook, video, signup form, ads.
  • Action – This element can be used to define the interaction of your visitor and can be: click, button, play, stop. Personally, I use it to specify the place of my button/signup form/ad.
  • Label – Use this to identify the type of event that is tracked.
  • Value – This element helps you specify a value for you event that can be used when you setup a goal for your event.

If you would like to see a working example, here’s what I used to track a link to my new product, where "Ads" is the category of my link, "Sidebar" the place where I added the link and "WAB" the label.

<a href="http://www.webanalyticsblueprint.com/" onclick="_gaq.push(['_trackEvent', 'Ads', 'Sidebar', 'WAB']);">

Then once you setup your links, all you have to do is just setup that event as a goal, using the Category, Action, Label, and Value conditions you have setup for your event.

6. Real-Time Reporting

Google has taken analytics one step further recently and introduced Real-Time Reporting, which displays information about visitors that are on your website in a specific moment.

Real Time Reporting

Your are able to see how many visitors are on your website in that moment, where they are on your website, from where they come (keywords and referrals) and where they live.

Additionally, you have access to another 3 reports with more insights about their location, how they arrived on your website and what pages they visit.

To access the real-time reports you need to go to the [Home] menu > [REAL-TIME (BETA)].

The [Locations] report will provide you information about the number of your visitors and the countries where they are located. You can also check their location on a map.

[Traffic Sources] will display information about where they come from. You will see the medium and source along with the total number of your visitors.

The [Content] report will show you what are the active pages that your visitors read and how many active visitors are on each of the pages displayed on your report.

7. Multi-Channel Funnels

With Multi-Channel Funnels Google Analytics provides even more value for users who are passionate about conversion rates.

If before you were able to track the last source that the visitor used to convert, with Multi-Channel Funnels you are able to also track other sources (ads, referrals, social media, organic) that the visitor used to reach your website from.

Let’s say for example that your visitor (Cindy) landed for the first time on your website from Twitter and subscribed to your RSS feed.

Next time, Cindy used the feed reader to come and read your new articles. Ultimately she was looking for advice on blogging and found your eBook using a search engine.

Now, because she knows your site already, she will buy it and become a customer.

Using this example, in the old version of Google Analytics the search engine was used to be credited for the conversion, but now, with Multi-Channel Funnels you can see the whole path that Cindy took to convert: Social Network > Referral > Search engine.

To check the Multi-Channel Funnels reports, go to the [Conversions] section.

Watch this video to learn more about Multi-Channel Funnels:

8. Use Campaign Tracking

Tracking online marketing campaigns will help you get past that large number of direct visits that come from URL shorteners like bit.ly or clients like tweetdeck.

Additionally, it will help you track more accurately links from other websites and links that you use to promote your content or campaigns.

In order to use Campaign tracking in Google Analytics, you need to tag your URLs with special parameters. Those parameters can be added to your links using the URL Builder tool from Google.

Once you tag your URLs with the mandatory parameters, use them as they are or use an URL shortener when sharing them.

Then, check the [Campaigns] report, under [Traffic Sources] > [Sources] to get insights about your online marketing campaigns.

Campaign Tracking Report

To see step by step instructions and how to check Google Analytics Campaign Tracking reports, read more in this article.

9. Plot Rows

Plot Rows allows you to create instant segments of your data in tabular reports. If you usually look at standard reports, you can use Plot Rows to get more insights from your metrics.

Google Analytics Plot Rows

To use this feature, you need to select two rows from any tabular report and then click the [Plot Rows] button from the bottom of the table.

Once you do that, you will see that the chart has changed and you are able to see additional information there about the items that you have selected.

In other words it instantly creates a segment with two of your items compared with the total metrics.

Use this feature to check how your main keywords, referrals or pages compare with each other and with the overall metrics of the site.

But make sure that you select items that do not have a big difference between their metrics (i.e. compare a keyword with 2340 visits with one that has 154).

10. Custom Dashboards

In the old version of Google Analytics you used to have available only one dashboard. However, right now you can create up to 20 dashboards customized to your needs.

Custom Dashboards

To create a custom dashboard, go to the [Home] menu > [Dashboards] and select [+New Dashboard].

Once you do that, you will need to choose whether you will want to start from scratch with a blank canvas or get some pointers with the [Starter Dashboard].

Then you can use slick widgets to create custom metrics, pie charts, timelines or tables.

To get started with custom dashboards, have a look at my screenshot above and try to duplicate it or check out 5 Insightful Google Analytics Dashboards.

Then, you will be able to customize it and add the metrics that are relevant to your business.

11. Flow Visualization

Flow Visualization definitely deserves a separate article to present it, but in the meantime I will outline it’s benefits.

Flow Visualization

Google Analytics rolled out two reports, [Visitors Flow], under the Audience section and [Goal Flow], under the Conversion section.

Visitors Flow

The Visitors Flow will display the path that your visitors have taken to navigate through your website.

You will be able to see, based on a selected dimension, such as country source or keyword, the exact path of your visitors and where they stopped to read your content.

On hover, the report displays for each page additional details, like the total number of visits, how many visitors moved to a different page and how many of them dropped the funnel and left.

If you click on a page, you will be able to highlight the traffic that went through that page, explore traffic through that page or display in a popup even more details.

Goal Flow

The Goal Flow report is essentially a better representation of the Funnel Visualization report and contains the same dimensions as the Visitors Flow report.

But the main difference between this and the Visitors Flow is the fact that the Goal Flow report doesn’t uses all pages, but the steps you configured in the conversion funnel.

Additionally, you can also use advanced segments to filter your data and get additional insights from the Visitors Flow and Goal Flow reports.

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Mobile search campaigns: Get the most out of them with DoubleClick Search

A few relevant statistics:

  • Smartphone users now account for 9% of all online traffic
  • Mobile searches have grown by 400% since 2010
  • By 2013, more people will use mobile devices than PCs to get online

All of these figures are growing rapidly, with many analysts predicting mobile web activity to increase by several times in 2012.
Most advertisers will benefit from targeting mobile searchers, but not everything you’ve learned from your experiences optimizing for desktop search applies to mobile.
Here are some best practices for managing mobile campaigns, and specific instructions for doing so within DoubleClick Search.
1. Create separate campaigns for each platform you’re targeting.
Because everything from your budget to your landing pages to your keyword list will differ for your desktop, smartphone, and tablet campaigns, it’s highly recommended to create separate campaigns for each of these. Some advertisers find it easier to manage their mobile and tablet campaigns in completely separate engine accounts.



DS3 note: Tablet-specific targeting will have to be set directly in the search engine user interfaces.
2. Write specific ad texts for different device operating systems
Especially useful if you’re selling smartphone-related products such as apps or content, you can use AdWords’ additional settings to target only Android or iOS devices, and write ad copy that highlights your user’s device preference to increase engagement.


DS3 note: Create separate campaigns for each device platform in DS3 as above, setting the Advanced mobile and tablet options in the AdWords interface.
3. Bid differently
Smartphones and tablets will have fewer ad slots available per page of search results, and as a result, you may need to target a higher position in your mobile campaigns to receive traffic.


DS3 note: Employ position-only bid strategies or CPA strategies with a position target to bid for higher ad slots for your mobile campaigns.
4. Direct users to a mobile-optimized landing page
While the resolution of smartphone screens keeps increasing, they still don’t approach that of desktops and laptops, so all advertisers serious about getting mobile traffic should create a mobile-specific site to use as a destination for your mobile search campaigns. Howtogomo.com provides great tools to help advertisers and agencies optimize their sites for the small screen.


DS3 note: When copying keyword lists from a desktop campaign, test your landing pages on a mobile device or using a device emulator to make sure they go to the mobile version of the site, either directly or via a redirect.
5. Tailor your keyword list to the mobile searcher
It’s still a good idea to copy the keywords from your desktop campaigns as a starting point. However, mobile searches still tend to contain fewer terms than desktop, so it’s likely long-tail keywords that receive traffic on the desktop will be less effective in smartphone campaigns and may even bring down your quality score. Also, many mobile searches (over 20%) contain geomodifiers; be sure you’re including those city and region names in your keywords for stronger matches.


DS3 note: If you have longer-tail terms in a desktop campaign you don’t want to appear in your mobile campaign for QS or other reasons, it’s faster and cleaner to delete them from your keyword create bulksheet before uploading into DS3 rather than creating and deleting later.
6. Bridging online and offline
Mobile click-to-call campaigns can be powerful lead generators. When setting up a click-to-call campaign, consult with your DoubleClick Search Technical Account Manager to learn how DS3 can import data from your advertisers’ call tracking solution to allow optimization on both online and offline conversions.
With a lightning-fast UI, efficient workflow, and best-in-class infrastructure, DoubleClick Search allows you to quickly and intelligently manage and optimize your mobile search campaigns at scale.

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Go With The (Google Analytics Event) Flow

Google Analytics launched a series of enhancements to the Flow Visualization reports. The enhancements include the ability to do a date comparison of the Flow Visualization report and the ability to use other types of goals in the goal flow report. You can read the announcement on the Google Analytics blog.

But the biggest news, and the subject of this post, is the introduction of a new Event Flow report to track users through a series of events.

New: Google Analytics Event Flow

NEW! Google Analytics Event Flow Reports

When the world was focused on web analytics a common analysis technique was path analysis. The goal was to find the “magic path” through the website that lead to the most conversions and then force everyone through that process.

We almost never found the “magic path.” But there are some uses for path analysis, like looking at a defined path, for example a checkout process, and identifying where people leave the process.

But things have changed.

In the new world of digital analytics we collect more than just pageviews. We also collect events, which we use to track the minute details of how people interact with a website or app.

Until now we had no way to understand the sequence, or flow of these events. The Google Analytics Event Flow report provides a visualize of the user path between events.

If you’ve used the Flow Visualization reprots in Google Analytics then the Event Flow reports will look very familiar. It’s the same report. The only difference is that the event flows reports show events.

The event flow report can really be used for anything. It’s really up to you, and how you use events. A few that come to mind:

  • If you’re an automotive site, you might use it to track people using a vehicle configuration tool
  • If you’re a financial site, you might use it to track how people use a mortgage calculator
  • If you’re tracking an app with Google Analytics, you might use this to track interactions
  • If you’re tracking video streams with Google Analytics, you might use this to track how people flow from one stream to another

Before we get into an example, I should point out that this is all based on event data. If you don’t use event tracking this report will be useless. Or, if you have really bad events, this report will not work for you.

Make sure you have great events!

Overview

As is the case with the standard Flow Visualization report, the new Event Flow report consists of segments, nodes and paths. You can view the flow of a specific segment through the report using the segments on the left side. Or you can segment the entire flow using the drop down at the top of the report.

Segmenting the Event Flow in Google Analytics

You can view various segments of traffic through the Event Flow or segment the entire flow.

Nodes represent either an event category, an event category/event action combination or a category/action/label combination.

Example

Last month I wrote about a new way to track content engagement with events. Using some custom code to can generate events as people scroll through a page and read content.

The data generates a model of the reading process. Events are generated at the following times:

  • When an article is loaded in the browser
  • When a visitor starts reading (by tracking scrolling)
  • When a visitor gets to the bottom of the content
  • When a visitor gets to the bottom of the page

We can now visualize the above process with the Event Flow report. I not only want to visualize the above process, but I want to see how people might jump steps in the process.

You can choose different events for the event flow.

You can choose to view a different combination of events in the Event Flow.

Here’s a tip, the size of the nodes change depending on the event combination you choose to view. If you choose to only view the event categories, you’ll have a few, large nodes. But, if you choose to view the categories/actions/labels you’ll have LOTS of nodes.

I find that starting with the category/action combination is usually sufficient.

There are a lot of events here, so I’m going to click on a node and choose Highlight. This shows the traffic through the chosen node, which in this case is the category/action of Reading/ArticleLoad. Now I can see the path of all the traffic that loaded an article.

Highlight traffic through an event node.

You can highlight traffic through a specific event node in Google Analytics.

The visualization shows traffic that came to the site, loaded an articles, read the article, hit the content bottom and hit the bottom of the page.

Google Analytics Event Flow for a Series of Events

Using the Google Analytics Event Flow to visualize a series of event. In this case how people read content on a website.

I was able to see the percentages of traffic that move from step to step in the tabular data. But a visualization makes it easier to identify drop-offs.

Here’s something interesting. Using tabular data I learned that 67% of those that start reading get to the bottom of the content and 9% get to the bottom of the page.

Very few people read all the way to the bottom of the page. What happens after people get to the bottom of the content? Do they leave the site?

Using the flow I can easily get the answer.

I can literally see four actions when people hit the bottom of the content:

  • Some people exit the site (the RED comments below
  • Some move on to a new article (the BLACK comment below)
  • Some read to the bottom of the page (the BLUE comment below)
  • Some convert at a goal (the YELLOW comment below)

Google Analytics Event Flow"

Analyzing what happens during a series of events.

You’re probably wondering how I can get more detail, perhaps view this flow on an article-by-article basis. Well, if I was tracking the article name in the event label I’d be able to see that! But I’m not doing that. Yet.

So there you have it. One application of the Event Flow reports.

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7 ways to Increase Sales by creating Trust

The key to conversing a visitor into a client is the creation of trust. Your product can be the greatest thing on earth or the dullest office supply ever, both can be sold online when your visitor knows you are the best supplier for that product or service.

We often advise on how to gain trust in our website reviews, and I’ve compiled a list of some of the advice we’ve given over time. Of course, trust can be earned in more ways than this, but we’ll give you these seven to start with.

1. Use clear and normal language

This is an often overseen issue that causes a lot of misgrief with your visitors. You should speak their language, not drown them in a sea of technical specs you don’t even understand yourself. Use a clear and direct style of writing. Keep your audience in mind. Do not focus on telling them what you want to tell them, focus on providing as many arguments as possible why their quality of life improves after buying that specific product.

2. Testimonials

Do not brag about your products yourself. If your products or services are really that good, I’m sure you’ll find someone else that can do the bragging for you. Make sure your visitor understand that the testimonial is written by an actual customer, by listing at least name and company and if the customer agrees, even a picture of him. Video seems to be the next big thing in testimonials, by the way. In my opinion, that video testimonial should be accompanied by a written excerpt:

Testimonials as seen on cloversites.com

Testimonials as seen on cloversites.com

3. Verified signs

Everyone can create a verified sign, so don’t let those verified signs fool you. But the majority of your visitors actually believe that you are the ‘Most appreciated hairdresser of Mississippi’ or the ‘Best Plummer 2006′. Man, I hate those signs. But when the signs are from well-known companies, they really do add value to a webshop:

"Verified" signs

"Verified" signs

By investing in the guidelines of the right verification companies  the webshop shows that it has been keeping the customer in mind when setting up the website.

4. Pictures

If you recognize the woman on this picture, please call the following toll-free number…:

Stock photography

You can do better than that stock photo. Listing actual pictures of yourself and/or your employees pushes conversion due to recognition and identification.

5. List your physical address

This one is really simple: people want to know there is a place to go to in case of problems (if any). Having an actual store next to your webshop works even better, especially if a lot of your customers are relatively local.

In the Netherlands digitalstreet.nl made this concept into a huge success, even though they’re located in the south-west of the Netherlands (quite near to where we are), people come from all over the Netherlands because they’d rather buy the product in the store. There are more stories like that, but even if you don’t want to do that, just listing your address on check-out pages increases trust a lot.

6. What happens after check-out?

There’s this hesitation in almost all buying decisions: right before you click the Pay Now button. What’s going to happen next? Am I charged for taxes, import, anything else? Can I select a wrapping paper? Explain what happens after clicking that button. That way the customer is included in your ordering process and there are absolutely no suprises. That can be done with just a few short lines of text:

checkout message on bloomingdales.com

7. Show you care about more than making money

The most important thing is that your website has to reflect your believe in the product or service you provide. Just a list of products is not enough. Also tell your customer about your company, your main values or mission statement. I really love the 1% for the Planet from Yvon Chouinard (Patagonia) and Craig Mathews (Blue Ribbon Flies) http://www.onepercentfortheplanet.org. Next to showing that you are involved, it also creates a huge sympathy and trust factor.

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Domain Names With Geo Specific Keywords Offer Local Ranking Opportunities

Most local search professionals will tell you that citations and site relevance to the target geo are the keys to ranking in local search engine results pages (SERPs).

Testing and retesting old methods is part of maintaining SEO strategies so it seemed a smart choice to take a closer look at one of these key onsite factors and conduct a small study on the weight of domain names in rankings. The goal was to evaluate the performance of a related series of keywords in 10 different geographic locations and put them head to head against a term directly associated with the domain name.

For this test we elected to do a study on the University of California school system and produce a small article on the spring break dates for 2012. The domain we chose to test on was Travelfromlosangeles.com, which at the time had 32 total links and had been in existence for about a year. The domain is a typical WordPress blog with beginner basic optimizations and full metadata descriptions and tags.

The specific article page was +1′d and tweeted a couple of times by our team, but over the course of a few months it appeared on the third page of the SERP. The page continued to climb and in February it achieved the top spot for “UCLA Spring Break 2012,” even edging out UCLA.edu.

ucla-spring-break-2012-google-serp

Surprisingly enough, the page climbed to the optimum position for the key phrase, and we were curious to see how it fared for the other University of California institutions. Upon further review, it was clear that UCLA centered terms garnered a much higher position than those surrounding other schools like Santa Barbara or San Diego.

location-distance-impact-on-serps

Utilizing Google Webmaster Tools’ data, we looked at a constant series of terms that only varied in the school location and pulled ranking data for the past 30 days on Google. The data seemed to have a pattern of rank decreasing as distance from Los Angeles increased, so it was compiled it into the graph below. Strangely enough, no data was pulled in by Google WMT on UCSF so that locale was excluded from the graph.

Key Takeaways

UCLA Spring Break 2012 outpaced any other university search term by three spots without receiving the advantage of a mention in the title tag.

The average SERP position for universities has a correlation with the distance they are located from Los Angeles. The trend line shows the furthest institutions as the lowest performing keywords in the SERPs, with the exception of UC Santa Cruz.

Conclusion

While this data is seasonally impacted, it still establishes a clear connection between domain name and ranking opportunity with geo specific keywords. The SEO value of having Los Angeles in the site name is clearly defined by the No. 1 ranking for UCLA Spring Break 2012. When looking to build out a site for a specific geographic region it is advisable to seek out a domain name that references the area in a distinguishable manner to not only the search engine bots but to the searchers as well.

This piece and the research behind it was a collaboration between Michael Martin and his colleague Danny McElroy, SEO specialist, Covario.

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