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10 Ways to Boost Sales on Your Ecommerce Website

9 六月

It’s fairly simple now to become an online entrepreneur, thanks to technology and social media. Making a profit, on the other hand, is not always simple. There are small details that could greatly affect how your business thrives on the Internet — you can’t just put up an ecommerce portal and expect customers to come rolling in.

Building the smartest (and most successful) business website requires a lot of consideration. Online retailers must balance web design and development with marketing practices to successfully drive sales.

To add to the balancing act, your website and business will benefit when you consider what your customer wants and needs. Most are looking for a simple, straightforward shopping experience. Think about it — when is the last time you felt that way in a mall? There’s a reason shoppers are flocking to the web for their commerce needs — everything is tailored to them.

We’ve gathered a few tips for a successful ecommerce platform in the gallery below, some of which were suggested by Sucharita Mulpurur, an analyst at Forrester, and Ben Zifkin, CEO of Hubba.

Whether you’re a small business owner or an online shopper — as a customer, what features do you appreciate when you’re purchasing something on the web? Share your thoughts in the comments.

Infographic: Social Media Statistics For 2012

16 五月

It was a huge year for Social Media and here is a great infographic that rounds up the key Social Media Statistics to kickoff 2012. It’s pretty impressive to see that Facebook has grown to more than 800 million active users, adding more than 200 million in a single year. Twitter now has 100 million active users and LinkedIn has over 64 million users in North America alone.

A few interesting take outs for social media statistics in 2012:

Facebook Statistics 2012:

  • An average Facebook user has 130 friends and likes 80 pages
  • 56% of consumer say that they are more likely recommend a brand after becoming a fan
  • Each week on Facebook more than 3.5 billion pieces of content are shared

Twitter Statistics 2012:

  • 34% of marketers have generated leads using Twitter
  • 55% of Twitter users access the platform via their mobile

General Social Media Statistics 2012:

  • 30% of B2B marketers are spending million of dollars each year on social media marketing
  • Nearly 30% of these users are not tracking the impact of this marketing
  • 20% of Google searches each day have never been searched for before
  • Out of the 6 billion people on the planet 4.8 billion have a mobile and only 4.2 billion own a toothbrush

Check out more social media statistics for 2012 below in the full infographic, via Mediabistro.

Social Media Statistics 2012

By: http://www.digitalbuzzblog.com/social-media-statistics-stats-2012-infographic/

8 Hot Media Trends You Need to Know

15 五月

When a week’s vacation can leave us behind on social media trends, early adoption becomes more about pattern recognition than bandwagon jumping.

Mediaphiles dismissed Foursquare as a toy, until it suddenly owned the geo layer. Internet junkies took afternoon naps and missed Pinterest’s leap to #3 in social networking. Mom couldn’t log into Hotmail; now she owns Farmville. All of these trends were forecast well before their big breaks, largely due to the astute eyes of early adopters who are ready to add new and fresh tools to their media-consuming arsenal.

Here are eight media trends we’re tracking right now. Some are right on the cusp of becoming mainstream and others still have a bit to cook before breaking the surface. What patterns are you observing in the media world and what do you think will be the next big thing? Let us know in the comments below.


1. Targeted, Geo-Mobile Coupons


When Foursquare started garnering press coverage in 2009, co-founder Dennis Crowley confessed his dream was to one day know users well enough to target smart coupons on the fly. He wanted to send push notifications that essentially said, “We know you like pizza, and it’s dinner time right now. Pizza Place X, two blocks away, has a special.”

That day has finally come. With 1.5 billion check-ins, 750 thousand merchants, 20 million users and millions of geo-tagged tips, Foursquare now has the ability to deliver hyper-relevant coupons to its users. I just started getting them and they’ve been surprisingly accurate.

LevelUp and other mobile services are digifying the in-person coupon space as well. We expect this field to mature rapidly now that geodata infrastructure is in place and half of all U.S. mobile phones are smartphones.


2. Audio Watermarking


Technology for embedding subliminal signals in audio — digital sound waves humans cannot consciously detect — is being used to track data and connect digital devices in increasingly clever ways. New York-based startup Sonic Notify, for example, built technology that allows television shows such as Bravo’s Top Chef to invisibly activate a viewer’s smartphone or tablet with related content while watching.

As audio watermarking becomes more mainstream (and consumers acclimate to the idea), opportunities for mobile content integration at events and retail stores will arise faster than you can play a Beatles record backwards.


3. Passive Location-Based Networking


According to social media data collected by Tracx, the top 3 buzziest startups at SXSW 2012 were all in-person networking apps: Highlight, Glancee, and Sonar.

Highlight was the most popular by far, gaining 300% more buzz than any of its peers. Its hook is that it’s completely passive: Users allow the app to track their locations throughout the day, then when other Highlight users (friends, potential connections) are nearby, it shows both parties the nearby user’s info.

Though buzz was high, the big question around this trend is whether the utility of such apps will outweigh the privacy concerns (and battery drain). There’s certainly competition in the space, so we’re likely to see a lot of movement around this concept this year.


4. Motion Tracking and Facial Recognition for Intention Data


CBS‘s hit series Person of Interest called this one last September. As facial recognition and motion tracking tech becomes more accurate and less expensive, the ability to digitally divine real-world intent is coming into our grasp.

Interpublic Group, for example, has a laboratory in Manhattan where Xbox Kinects, flatscreens and fake grocery aisles come together for some serious spying. When you pick up a box of Pop Tarts, the motion sensors track your face to see if you’re smiling or frowning about what you see. Screens then output data on how long you’ve lingered in front of a particular product, and ads trigger based on your gender (which cameras infer) and what objects you’re touching.

All this will help product marketers deliver better experiences. Once we get past the “creep-out phase,” consumers will likely start expecting — and appreciating — such personalization in their everyday shopping ventures.


5. Automatic Social Media-Activated Discounts


Handing a coupon to the waiter after a meal can be embarrassing for customers and time-consuming for employees. American Express has figured out how to bypass both challenges using social media.

The credit card company recently launched Twitter and Foursquare integrations that allow cardholders to sync their plastic with a social account, then take advantage of in-store coupons with no more effort than a tweet or check-in.

For example, many Foursquare locations have “$5 Off” AmEx specials. If a user checks into a location with the special and uses an AmEx card, the store’s credit card machine pings AmEx, which verifies check-in with Foursquare and then credits $5 to the user’s card.


6. Brands Building Publications and Entertainment Channels


“We’re all publishers” is a trite phrase by now, but big brands are starting to take the mantra seriously. With budgets behind them and no advertising to worry about, companies are building media properties meant to compete with TV stations and magazines.

Red Bull’s homepage, for example, looks like an action-sports news site. The company pumps out professional-grade news articles, feature stories and videos each day, pushing them to social marketing channels such as Facebook and Twitter. This fuels the company’s social media accounts with content and points followers back to Red Bull’s site, rather than elsewhere on the Internet.

Fashion companies are especially keen on building publications to compete with traditional media. Several have even reported that building entire publications is no more expensive than advertising. A look at the sites of Tory Burch and Kate Spade show where these brands are investing their efforts.


7. TV on the Internet


The Thursday Night TV lineup’s days are numbered.

Barry Diller, the media mogul who greenlit The Simpsons while running Fox in the ’80s, thinks broadcast television is the next big disruption in media. As we’ve seen with music, Internet users want to consume individual pieces of content — tracks, not albums; episodes, not box sets. They want to pick and choose, and they want their content online, not attached to a cable TV plan.

Diller’s latest project, Aereo, puts live broadcast TV on the Internet. It’s the next step to cutting the coaxial cable entirely.


8. Mobile, Immersive Reality


Digital technology allows us to be in one place while experiencing another. Skype and FaceTime connect people across the world, in person. The next evolution of this is immersive video and augmented reality.

Google is developing augmented reality glasses, which would enable wearers to view data layered over real life. A startup called Condition One makes iPad video apps that let the tablet holder move around a faraway scene, like a battlefield. There’s even R&D happening to create video-enabled contact lenses.

Tron, The Terminator and The Matrix, here we come.

By: http://mashable.com/2012/04/19/hot-media-trends/

Interest in Pinterest Reaches a Fever Pitch [INFOGRAPHIC]

1 五月

Could Pinterest be the silver bullet for retailers on social media?  Pinterest is clearly resonating with online consumers in a big way.  To put it simply, customers who find a product via Pinterest are more likely to purchase it than those who find the product via other social networks.

SEE ALSO: 10 Video Tips for Businesses on PinterestPinterest is hot. In fact, in March 2012 the site served up 2.3 billion page impressions to over 4 million unique visitors a day.

Who are these people? Why do Pinterest users respond so strongly to products that are pinned? This infographic from Tamba breaks down the stats, explaining why Pinterest is so powerful with its consumption-friendly audience.

By: http://mashable.com/2012/04/29/pinterest-interest/

How to Track Social Media Traffic With Google Analytics

4 四月

Why Google Analytics?

Google Analytics allows you to see where your visitors come from and if they engage with your content or leave immediately. Additionally, you can set up goals that match your business goals and measure if visitors are meeting those goals.

With Google Analytics, you can get valuable insights about your visitors and in this article I am going to show you how to track social media traffic.

This will help you identify the social media sites that send the most visitors back to your website to see which one needs more attention.

You will also discover how you can learn more about the visitors who come to your site from Twitter, Facebook, Google+ or other social media sites.

Additionally, you will learn how to use a feature called Advanced Segments to segment your social media traffic and see how those visitors behave on your site.

Getting Started With Google Analytics

Before we dive into this, I want to make sure that you use the latest version of Google Analytics.

To do this, just login into your Google Analytics  account and click the New Version link from the top left section of your screen.

new version google analytics

Click the New Version link to switch to the latest version of Google Analytics.

Once you do that, you are all set up and ready to follow the rest of this article.

Identify Your Main Traffic Sources

First you will need to discover what social media sites send the most traffic to your website.

To do that, go to the Traffic Sources section, select Sources and All Traffic.

Here you will be able to see a list with all of the websites that send traffic back to your site. Right now, you will need to identify which are social media websites and keep the first three in mind.

google analytics traffic

Identify the main 3 social media sites that send you traffic.

From this example you can see that Twitter (t.co is Twitter’s shortened URL), Hacker News and Facebook are the main social media sites that drive traffic.

For you, the most important may be Google+ or StumbleUpon or any other site where you have an active profile.

Create Advanced Segments

Once you have identified your main social media traffic sources, you can create Advanced Segments for those websites and segment the traffic to individually analyze your visitors.

You can also set up multiple Advanced Segments and compare them to see the difference among them.

To make this easier to understand, I will show you how you can set up Advanced Segments for Twitter, Facebook and Google+ to compare their traffic and for multiple other social media sites to better analyze traffic.

Twitter Traffic Segment

You can create an Advanced Segment for Twitter to see how it compares with Facebook and Google+.

To do this, simply click on Advanced Segments from any Google Analytics report and click + New Custom Segment.

create advanced segments

Create Advanced Segments to individually analyze your visitors by traffic source.

Then add a name for your segment and start to include as sources the following containing terms that might send traffic to your website:

  • twitter.com
  • t.co
  • hootsuite
  • tweetdeck
  • bit.ly

As you can see, there are multiple filters that should be added using an OR statement because different Twitter clients might send traffic that will not get tagged as being from twitter.com or t.co.

While adding these filters, you will see that if you have traffic that matches, Google Analytics will insert the filters using an autocomplete function.

This way you can be sure that all the filters you apply actually match visits.

twitter segment

Create a Twitter traffic segment to see how the inbound traffic from Twitter compares with other social media sites.

Once you add all your filters, press the Test Segment button to see if everything is set up correctly. If so, save your segment.

Facebook Traffic Segment

Next on the list is the Facebook segment, which can be created exactly as you did for Twitter—just change the filters to:

  • facebook.com
  • m.facebook.com
facebook segment

Create a Facebook traffic segment and include as a source both facebook.com and the mobile version m.facebook.com.

From my analysis, Facebook sends traffic as facebook.com and m.facebook.com if the traffic comes from mobile devices. To make sure that your filter will match, you can simply use “facebook.”

Google+ Traffic

The Google+ segment is similar to Twitter and Facebook, but simpler. All you have to do is just filter:

  • plus.url.google.com
google plus segment

Create a Google+ traffic segment to analyze only the traffic that comes from Google+.

Google+ sends all traffic from plus.url.google.com. You may also see traffic from google.com, but do not include it, because that is something different.

Social Media Traffic

Now that you know how to create individual segments, you can create a more comprehensive segment that analyzes traffic from more than one social media outlet.

You can use this type of segment to include the traffic from StumbleUpon, Digg, Delicious, LinkedIn and any other social media site.

As an example, below are some of the sites you can include in this segment using the OR statement:

  • twitter.com
  • t.co
  • hootsuite
  • tweetdeck
  • bit.ly
  • facebook.com
  • m.facebook.com
  • plus.url.google.com
  • linkedin
  • youtube
  • reddit
  • digg
  • delicious
  • stumbleupon
  • ycombinator
  • flickr
  • myspace
  • popurls

A simpler version of this segment would be to select as a condition Matching RegExp, which will use a regular expression to detect the traffic that matches your condition.

The advantage of this will be the fact that you will not need to type in 10-20 conditions for this segment, but just one.

To create this segment, select Matching RegExp as condition and then type in brackets “()” the social media sites that send traffic to you, separated by a vertical bar “|”, just like the code below:

(twitter|t.co|hootsuite|tweetdeck|bit.ly|facebook|plus.url.google|linkedin|youtube| reddit|digg|delicious|stumbleupon|ycombinator|flickr|myspace|popurls)

You will need to make sure that there are no spaces in this code.

social media segment

Use a Regular Expression to create only one condition which includes all the social media sites from where you might get traffic.

You can also include other sites that send traffic to you.

Understanding Social Media Traffic

Now you have four powerful segments that will help you get more insights about your visitors.

You can use the first three to see how they compare to each other and if there are any big differences among them.

You can use the fourth to see how visitors who come from social media sites behave on your own site and how they convert.

We will cover more about this in future articles, but to start you should have a look at the Audience reports to determine their behavior, how engaged they are with your site (how much time they spend reading your content), how frequently they come to your site or the ratio of new visitors to returning visitors.

The Content section is the one that you should check next to see the pages your social media peers visit on your site, your site speed for their connection or what they search for on your website.

For example, you can see from the screenshot below that the visitors coming from Twitter (even if they have a higher number of visits) are less engaged with the content of the website, because the majority spend less than 10 seconds on the website.

social engagement

Use Advanced Segments to identify which social media sites send you valuable visitors.

You can use the above segment to compare the traffic from multiple social media outlets and see where you should invest more time, which one sends you more engaged visitors, visitors that convert and much more.

With the more comprehensive segment or if you apply only one segment, you can actually filter the traffic and see all of the Google Analytics reports for that specific segment.

This helps you identify visitors’ behavior and engagement for that specific segment of traffic.

Over to You

These are just a couple of examples, but I would love to see what other experiments you’ve done.

What do you think? Which of these examples have you successfully implemented? Plus, what other tutorials about Google Analytics would you like to see on Social Media Examiner? Leave your questions and comments in the box below.

By: http://www.socialmediaexaminer.com/how-to-track-social-media-traffic-with-google-analytics/

5 Tips for Moving Social Media Leads Into the Sales Funnel

27 三月

Do Fans Mean Business?

Marketers have made tremendous strides in growing their audiences on social media channels. There have been concerns over whether social media could only be successful in business-to-consumer (B2C) companies, but we’re starting to see great case studies in both business-to-business (B2B) and business-to-consumer (B2C) brands.

In looking at the B2B software space, we can see tremendous success from companies like HubSpot, InfusionSoft and HootSuite that have grown large numbers of followers by providing valuable content to their target audiences.

In the B2C space, our passion for brands like Old Spice, Coca-Cola and Ford have been reignited by creative social media campaigns. But what now?

Have these large followings contributed to revenue for these brands? The next natural question for C-level executives and marketers is, “Can we monetize our social media following?”

As pressures have risen for solid measurements and a demonstration of social media ROI, more companies are recognizing that revenue generation has to be a top priority of social media strategies.

This doesn’t give license for tacky sales pitches on Twitter. Rather, it opens the door for a more strategic approach to social media content, content distribution and measurement.

To get started, there are a few things you’ll need to prepare for.

Tip #1: Understand Your Sales Funnel

It’s pretty difficult to place leads into the sales funnel if you don’t have a clear understanding of the sales process that supports it.

The first step in monetizing the social media channel is to have a clear understanding of which marketing channels are currently contributing leads to the funnel, what the sales follow-up process is and how long it takes to close the sale.

You’ll need to figure out where social media fits into the equation.

  • Will social media leads respond to existing sales processes?
  • Where are social media leads in the buying process?
  • Will they convert at the same rates?

To truly understand how social media leads behave, you’ll need to do some testing. It is unlikely that social media leads will perform the same way that other types of marketing leads do.

This is because with social media, more commonly you are reaching potential buyers earlier in the sales process, before your competition. Getting potential buyers’ attention early has tremendous value that can be overlooked if expectations haven’t been set for how the social media lead will perform.

If you compare social media with traditional sales, in essence social media adds three levels that extend your sales funnel to provide more opportunities for conversion.

funnel with goals

Social media adds three levels of brand awareness to the sales funnel, providing more opportunities to convert prospects.

Tip #2: Optimize Your Path to Conversion

It’s important to make sure it is super-easy for potential buyers to buy. We tend to be fairly lazy consumers and if we have to search out how to buy from you, we are less likely to convert.

Therefore, take a look at your Facebook page. Does a potential buyer have to click on the Info tab to find your website, then go to your website and figure out how to buy your products or services? If so, you are likely missing out on the opportunity to convert Facebook fans into purchasers.

Create a tab that allows fans to convert within Facebook and you’ll likely see a spike in new revenue.

Success in social media relies on having strong content to share on social networks, which many times resides on the corporate blog.

Look at your blog and make sure there are conversion points that will in essence turn every post into a landing page. Make sure you test multiple calls to action to figure out what works best at converting social media traffic.

funnel graphics

Understand the path to conversion from social media so you can optimize each step.

Tip #3: Provide Opportunities for Soft Conversion

The social media lead likely enters the sales funnel earlier in the buying process. He or she may not be ready to make a purchase; however, you have an opportunity to convert interested social media fans and followers into email subscribers.

Soft leads are people willing to provide their email address in exchange for highly valuable and relevant content. These are valuable leads who have said they are interested in your content; but they haven’t necessarily said they are interested in your product yet.

If you combine email marketing campaigns that provide a mix of content that helps to push them through the sales funnel while providing valuable information, you will have a better opportunity to convert social media’s soft leads into potential buyers.

Tip #4: Nurture the Social Media Lead Differently

It’s important to understand the difference between the social media lead and the traditional lead because traditional sales-related email campaigns will kill the sale with the social media buyer.

Because social media leads may enter the sales funnel at an earlier stage in the buying process, you will need to adjust your email campaigns to provide value and content that will help drive the decision-making process.

This will require a strategy that includes decision-making content. Decision-making content is designed to answer questions that commonly arise when purchasing your product, overcome objections that are frequently heard in the sales process and provide opportunities to convert into a hard lead.

A hard lead is someone who has taken an action that directly indicates he or she is now interested in your product. This means the lead is now in the research and consideration phase of the buying cycle and you have an opportunity to convert the lead into a buyer.

Through your other social media efforts, you have been able to develop trust with prospects; therefore, if you continue to show thought leadership in helping them to make a decision, they will be more likely to purchase from you rather than the competitor they don’t have a relationship with.

Having a combination of decision-making and topically relevant content that is sent to soft leads will help you identify when the lead makes the jump to product interest.

At that point, you can follow up with traditional product-based information and put the lead in the traditional sales processMany times you can recognize this transition if you identify pages and calls to action that indicate product interest, such as signing up for a product demonstration, attending a product-based webinar or downloading decision-making content.

Tip #5: Measure Your Results

Finally, the only way to identify where leads are in the sales process is to measure your efforts.

The quickest and most cost-effective way to monitor social media conversions is to apply Google analytics campaign tracking to the links you shorten and post on social networks.

The combination of Google Analytics and HootSuite Pro makes this easy. Once you have the data, it is important to put it into a format that tells the management team what they want to know.

Use these metrics to demonstrate success through the sales funnel:

  • Cost per impression
  • Cost per engagement
  • Cost per soft lead
  • Cost per hard lead
  • Cost per sale

BY: http://www.socialmediaexaminer.com/5-tips-for-moving-social-media-leads-into-the-sales-funnel/

INFOGRAPHIC: How To Train Employees In Social Media So That They Don’t Ruin Your Reputation

24 三月

social media training mindflash

By: http://www.businessinsider.com/infographic-how-to-train-employees-in-social-media-so-that-they-dont-screw-everything-up-2012-3

Facebook Fan Page Timeline Tutorial [Infographic]

20 三月

 

Facebook Timeline

By: http://www.mindjumpers.com/blog/2012/03/fbtimelineinfographic/?awid=8467173961682224857-1265#more-15750

Search quality highlights: 40 changes for February

9 三月

2/27/12 | 11:30:00 AM

This month we have many improvements to celebrate. With 40 changes reported, that marks a new record for our monthly series on search quality. Most of the updates rolled out earlier this month, and a handful are actually rolling out today and tomorrow. We continue to improve many of our systems, including related searches, sitelinks, autocomplete, UI elements, indexing, synonyms, SafeSearch and more. Each individual change is subtle and important, and over time they add up to a radically improved search engine.

Here’s the list for February:

  1. More coverage for related searches. [launch codename “Fuzhou”] This launch brings in a new data source to help generate the “Searches related to” section, increasing coverage significantly so the feature will appear for more queries. This section contains search queries that can help you refine what you’re searching for.
  2. Tweak to categorizer for expanded sitelinks. [launch codename “Snippy”, project codename “Megasitelinks”] This improvement adjusts a signal we use to try and identify duplicate snippets. We were applying a categorizer that wasn’t performing well for our expanded sitelinks, so we’ve stopped applying the categorizer in those cases. The result is more relevant sitelinks.
  3. Less duplication in expanded sitelinks. [launch codename “thanksgiving”, project codename “Megasitelinks”] We’ve adjusted signals to reduce duplication in the snippets for expanded sitelinks. Now we generate relevant snippets based more on the page content and less on the query.
  4. More consistent thumbnail sizes on results page. We’ve adjusted the thumbnail size for most image content appearing on the results page, providing a more consistent experience across result types, and also across mobile and tablet. The new sizes apply to rich snippet results for recipes and applications, movie posters, shopping results, book results, news results and more.
  5. More locally relevant predictions in YouTube. [project codename “Suggest”] We’ve improved the ranking for predictions in YouTube to provide more locally relevant queries. For example, for the query [lady gaga in ] performed on the US version of YouTube, we might predict [lady gaga in times square], but for the same search performed on the Indian version of YouTube, we might predict [lady gaga in India].
  6. More accurate detection of official pages. [launch codename “WRE”] We’ve made an adjustment to how we detect official pages to make more accurate identifications. The result is that many pages that were previously misidentified as official will no longer be.
  7. Refreshed per-URL country information. [Launch codename “longdew”, project codename “country-id data refresh”] We updated the country associations for URLs to use more recent data.
  8. Expand the size of our images index in Universal Search. [launch codename “terra”, project codename “Images Universal”] We launched a change to expand the corpus of results for which we show images in Universal Search. This is especially helpful to give more relevant images on a larger set of searches.
  9. Minor tuning of autocomplete policy algorithms. [project codename “Suggest”] We have a narrow set of policies for autocomplete for offensive and inappropriate terms. This improvement continues to refine the algorithms we use to implement these policies.
  10. “Site:” query update [launch codename “Semicolon”, project codename “Dice”] This change improves the ranking for queries using the “site:” operator by increasing the diversity of results.
  11. Improved detection for SafeSearch in Image Search. [launch codename “Michandro", project codename “SafeSearch”] This change improves our signals for detecting adult content in Image Search, aligning the signals more closely with the signals we use for our other search results.
  12. Interval based history tracking for indexing. [project codename “Intervals”] This improvement changes the signals we use in document tracking algorithms.
  13. Improvements to foreign language synonyms. [launch codename “floating context synonyms”, project codename “Synonyms”] This change applies an improvement we previously launched for English to all other languages. The net impact is that you’ll more often find relevant pages that include synonyms for your query terms.
  14. Disabling two old fresh query classifiers. [launch codename “Mango”, project codename “Freshness”] As search evolves and new signals and classifiers are applied to rank search results, sometimes old algorithms get outdated. This improvement disables two old classifiers related to query freshness.
  15. More organized search results for Google Korea. [launch codename “smoothieking”, project codename “Sokoban4”] This significant improvement to search in Korea better organizes the search results into sections for news, blogs and homepages.
  16. Fresher images. [launch codename “tumeric”] We’ve adjusted our signals for surfacing fresh images. Now we can more often surface fresh images when they appear on the web.
  17. Update to the Google bar. [project codename “Kennedy”] We continue to iterate in our efforts to deliver a beautifully simple experience across Google products, and as part of that this month we made further adjustments to the Google bar. The biggest change is that we’ve replaced the drop-down Google menu in the November redesign with a consistent and expanded set of links running across the top of the page.
  18. Adding three new languages to classifier related to error pages. [launch codename “PNI", project codename “Soft404″] We have signals designed to detect crypto 404 pages (also known as “soft 404s”), pages that return valid text to a browser but the text only contain error messages, such as “Page not found.” It’s rare that a user will be looking for such a page, so it’s important we be able to detect them. This change extends a particular classifier to Portuguese, Dutch and Italian.
  19. Improvements to travel-related searches. [launch codename “nesehorn”] We’ve made improvements to triggering for a variety of flight-related search queries. These changes improve the user experience for our Flight Search feature with users getting more accurate flight results.
  20. Data refresh for related searches signal. [launch codename “Chicago”, project codename “Related Search”] One of the many signals we look at to generate the “Searches related to” section is the queries users type in succession. If users very often search for [apple] right after [banana], that’s a sign the two might be related. This update refreshes the model we use to generate these refinements, leading to more relevant queries to try.
  21. International launch of shopping rich snippets. [project codename “rich snippets”] Shopping rich snippets help you more quickly identify which sites are likely to have the most relevant product for your needs, highlighting product prices, availability, ratings and review counts. This month we expanded shopping rich snippets globally (they were previously only available in the US, Japan and Germany).
  22. Improvements to Korean spelling. This launch improves spelling corrections when the user performs a Korean query in the wrong keyboard mode (also known as an “IME", or input method editor). Specifically, this change helps users who mistakenly enter Hangul queries in Latin mode or vice-versa.
  23. Improvements to freshness. [launch codename “iotfreshweb”, project codename “Freshness”] We’ve applied new signals which help us surface fresh content in our results even more quickly than before.
  24. Web History in 20 new countries. With Web History, you can browse and search over your search history and webpages you’ve visited. You will also get personalized search results that are more relevant to you, based on what you’ve searched for and which sites you’ve visited in the past. In order to deliver more relevant and personalized search results, we’ve launched Web History in Malaysia, Pakistan, Philippines, Morocco, Belarus, Kazakhstan, Estonia, Kuwait, Iraq, Sri Lanka, Tunisia, Nigeria, Lebanon, Luxembourg, Bosnia and Herzegowina, Azerbaijan, Jamaica, Trinidad and Tobago, Republic of Moldova, and Ghana. Web History is turned on only for people who have a Google Account and previously enabled Web History.
  25. Improved snippets for video channels. Some search results are links to channels with many different videos, whether on mtv.com, Hulu or YouTube. We’ve had a feature for a while now that displays snippets for these results including direct links to the videos in the channel, and this improvement increases quality and expands coverage of these rich “decorated” snippets. We’ve also made some improvements to our backends used to generate the snippets.
  26. Improvements to ranking for local search results. [launch codename “Venice”] This improvement improves the triggering of Local Universal results by relying more on the ranking of our main search results as a signal.
  27. Improvements to English spell correction. [launch codename “Kamehameha”] This change improves spelling correction quality in English, especially for rare queries, by making one of our scoring functions more accurate.
  28. Improvements to coverage of News Universal. [launch codename “final destination”] We’ve fixed a bug that caused News Universal results not to appear in cases when our testing indicates they’d be very useful.
  29. Consolidation of signals for spiking topics. [launch codename “news deserving score”, project codename “Freshness”] We use a number of signals to detect when a new topic is spiking in popularity. This change consolidates some of the signals so we can rely on signals we can compute in realtime, rather than signals that need to be processed offline. This eliminates redundancy in our systems and helps to ensure we can continue to detect spiking topics as quickly as possible.
  30. Better triggering for Turkish weather search feature. [launch codename “hava”] We’ve tuned the signals we use to decide when to present Turkish users with the weather search feature. The result is that we’re able to provide our users with the weather forecast right on the results page with more frequency and accuracy.
  31. Visual refresh to account settings page. We completed a visual refresh of the account settings page, making the page more consistent with the rest of our constantly evolving design.
    Panda update. This launch refreshes data in the Panda system, making it more accurate and more sensitive to recent changes on the web.
  32. Link evaluation. We often use characteristics of links to help us figure out the topic of a linked page. We have changed the way in which we evaluate links; in particular, we are turning off a method of link analysis that we used for several years. We often rearchitect or turn off parts of our scoring in order to keep our system maintainable, clean and understandable.
  33. SafeSearch update. We have updated how we deal with adult content, making it more accurate and robust. Now, irrelevant adult content is less likely to show up for many queries.
    Spam update. In the process of investigating some potential spam, we found and fixed some weaknesses in our spam protections.
  34. Improved local results. We launched a new system to find results from a user’s city more reliably. Now we’re better able to detect when both queries and documents are local to the user.

And here are a few more changes we’ve already blogged about separately:

  • Flight Search on mobile
  • Improved health searches
  • Better related searches for images
  • Upcoming concert dates

Posted by Amit Singhal, Senior VP and Google Fellow

By: http://insidesearch.blogspot.com/2012/02/search-quality-highlights-40-changes.html

Payvment Launches Social IQ for Facebook Sellers

9 三月

Facebook e-commerce platform Payvment has introduced a new tool that guides sellers towards the optimal social media activities to boost sales and engagement in their Facebook stores.

Based on analysis of over two years of data from thousands of successful sellers, Payvment Social IQ technology delivers a daily set of customized actions to help sellers who are new to social commerce drive fan-base growth, traffic and sales. The technology is embedded in a new release of Payvment’s Social Commerce Dashboard, which has an added set of tools to monitor key social commerce metrics and track the impact of new campaigns.

Payvment’s Social IQ is also designed to make it easy for sellers to try new social marketing tactics such as running a Twitter promotion or offering a “Like” discount for fans, while being able to measure exactly how those actions improve product discovery and sales.

Key features of Social IQ include the following:

Things You Did: Tallies the deals, promotions and polls a seller has run in the past week
Shopper Reactions: Shows how shoppers engaged based on the social actions
Your Bottom Line: Tallies Fans, product views and revenue earned based on social activity, while showing whether those totals are trending up or down over time
Social IQ Booster: Suggests simple ways to grow your Social IQ score and increase engagement and sales
Social IQ Leaderboard: Shows the other sellers who are most active and socially engaged with shoppers and how they compare

Visit Payvment’s Seller Spotlight section for profiles of merchants who have achieved success with Facebook commerce.

By: http://www.websitemagazine.com/content/blogs/posts/archive/2012/02/27/payvment-launches-social-iq-for-facebook-sellers.aspx?utm_source=newsletter&utm_medium=email&utm_campaign=newsletter