Tester Jobs Requirements (VIDEO GAME)

Welcome to the Google Performance Summit livestream! Tune in now to hear about Google�s latest mobile-first innovations, the moment they�re announced. Let us know what you think by joining the conversation at #GoogleSummit.

Over the past year, developers have adopted the Accelerated Mobile Pages (AMP) technology to build faster-loading pages for all types of sites, ranging from news to recipes to e-commerce. Billions of AMP pages have been published to date and Google Analytics continues its commitment to supporting our customers who have adopted AMP.

However, we have heard feedback from Google Analytics customers around challenges in understanding the full customer journey due to site visitors being identified inconsistently across AMP and non-AMP pages. So were announcing today that we are rolling out an enhancement that will give you an even more accurate understanding of how people are engaging with your business across AMP and non-AMP pages of your website.

How will this work?
This change brings consistency to users across AMP and non-AMP pages served from your domain. It will have the effect of improving user analysis going forward by unifying your users across the two page formats. It does not affect AMP pages served from the Google AMP Cache or any other AMP cache.

When will this happen?
We expect these improvements to be complete, across all Google Analytics accounts, over the next few weeks.

Are there any other implications of this change?
As we unify your AMP and non-AMP users when they visit your site in the future, you may see changes in your user and session counts, including changes to related metrics. User and session counts will go down over time as we recognize that two formerly distinct IDs are in fact the same user; however, at the time this change commences, the metric New Users may rise temporarily as IDs are reset.

In addition, metrics like time on site, page views per session, and bounce rate will rise consistent with sessions with AMP and non-AMP pageviews no longer being treated as multiple sessions. This is a one-time effect that will continue until all your users who have viewed AMP pages in the past are unified (this can take a short or long period of time depending on how quickly your users return to your site/app).

Is there anything I need to do to get this update?
There is no action required on your part, these changes will be automatically rolled out.

Will there be changes to unify users who view my pages both on my domain and in other contexts?
Some AMP pages are not visited directly on the domain where the content is originally hosted but instead via AMP caches or in platform experiences. However we decided to focus on fixing the publisher domain case first as this was the fastest way we could add value for our clients.

We are committed to ensuring the best quality data for user journey analysis across AMP and non-AMP pages alike and this change makes that easy for AMP pages served on your domain. We hope you enjoy these improvements - and as always, happy analyzing!

Posted by the Google Analytics team

Add to Flipboard Magazine.  May 05, 2017 by Android Custom ROM Fix

Sony Xperia Z5 Premium Dual AOKP custom ROM brings the latest Android 7.1.1 Nougat on your device. With the installation of this ROM on your Xperia Z5 Premium Dual you can enjoy the latest Android 7.1.1 Nougat on this device. This is a fully stock Android experience so don�t expect anything fancy here. 

Don�t Worry We Are Going to share Step by Step Guide to Safely Install Android 7.1.1 Nougat AOKP Custom ROM on your Xperia Z5 Premium Dual .

Google Tag Manager Fundamentals shows you how to use tools like Google Analytics and Google AdWords to improve your data collection process and advertising strategies including:

• the core concepts and principles of tag management using Google Tag Manager 
• how to create website tags and manage firing rules 
• how to enhance your Google Analytics implementation 
• the importance of using the Data Layer to collect valuable data for analysis 
• and how to configure other marketing tags, like AdWords Conversion Tracking and Dynamic Remarketing.

Check out Google Tag Manager Fundamentals today! Make sure to use the language picker in the lower right corner of the page to select your language.*

Happy tagging!

*Note: This course is not currently open for certification, but all of the lesson and assessment content is available for you to learn and test your knowledge. Join the Google Analytics Academy G+ community to get updates on existing and new course content! 

  Posted by Lizzie Pace, Google Analytics Education team

By far the best feature of the Apple Watch is the range of bands available for it, and the beautifully simple mechanism for attaching and removing them. Most Android Wear watches have nothing of the sort, with some not even offering the option to change bands.



Google wanted to do something about this, so the company has announced something called MODE bands. These are snap-and-swap watch bands that come in a variety of colors in leather and silicone. The main feature here is the attachment mechanism, which, like the Apple Watch, comes off with just the flick of a switch.

Considering the range of Android Wear watches available, Google knows you cant just make one design and expect them to work with all. So it has created a vendor playbook with instructions, requirements and brand guidelines. Other companies will have to use this to make their own MODE bands. It honestly doesnt sound particularly viable, and brings thisxkcd comic to mind. We will have to wait and see how well brands adopt this.

Source

Method 1

1. Visit whatismyipaddress and note down you real Ip Address
2. Now Go to Google Translate
3. From Under Detect Language, Chose your language in my case English
4. Now type http://whatismyipaddress.com/  in text area and click on Translate
5. Now check your Ip Address, Its different from the real one.

Method 2

1. Go to link given below:
http://www.google.com/translate?langpair=es|en&u=www.mybloggersworld.com
2. Change www.mybloggersworld.com to website you like to visit.
3. Done!

If you use this trick, you are not sure to protect your privacy, this kind of connection lets you see blacklisted or banned pages but does not hide your IP address.

Now we�re adding new features to make it quicker to access your data.

Community Connectors Developer Launch
We want to make it easy to access all your data within Data Studio. Today we are launching a new Data Studio �Community Connectors� developer program allowing you to visualize data from any source.

Community connectors are created using Google Apps Scripts and are easy to build! (our UX team even built one to monitor bitcoin prices). Once created, a connector can be shared with other users, who can use the connector to access their own data.

Today we have over 10 partners who have built connectors to over 200 sources and we�re excited to welcome more developers and data providers to the Data Studio community.  Check out the Community Connector Gallery to explore what our partners built.


Embedded Reports


Data Control
Large organizations and agencies often have access to many accounts; for example, thousands of AdWords accounts, or hundreds YouTube channels. To simplify reporting, the new data control allows you to reuse a single report across all your accounts, dramatically reducing the time it takes to view data in a report. The data control can also be used to templatize reports, allowing viewers to see their data in a report without having to create anything in Data Studio. The data control supports the following connectors: AdWords (Account & MCC), YouTube Analytics, Search Console, DoubleClick Campaign Manager, and Google Analytics. We plan to add support for more connectors in the future.


Data Studio report with AdWords, Search Console, YouTube, and DoubleClick Data Controls

And a few other updates
We�ve also added a couple of additional capabilities. You can now export any chart data directly to Google Sheets. We added a new Google Cloud Storage connector, making it easy to use Data Studio with your data in Google Cloud Storage. We�ve added SSL support for the MySQL connector. We�ve added the ability to see the totals in the table visualization. And finally, we�ve made the product available in Russia.

These announcements make accessing your data within Google Data Studio easier than ever. We�re excited to see what people do with them. For more information, check out:

• Community Connector Gallery
• Community Connector Developer Program
• Report Embedding help center 
• Data Control help center
• Google Cloud Storage Connector help center

Thanks!

Posted by Nick Mihailovski, on behalf of the entire Data Studio team

O jogo tem sua hist�ria passada algumas semanas antes do primeiro jogo. Um novo Commander Gear foi descoberto pelo nome de "Dizzy". Preocupados com a possibilidade de uma segunda guerra mundial come�ar, um outro torneio "Holy Knights" foi iniciado. O indiv�duo que capturasse e matasse tal Gear ganharia uma recompensa de 500 mil World Dollars

Tamanho: 404 MB

Formato: ISO

Idioma: Ingl�s

Region: (NTSC-U)

The downloads table is the focus of this post.  It is structured as follows:

$ sqlite3 History .schema | grep downloads
CREATE TABLE downloads (id INTEGER PRIMARY KEY,full_path LONGVARCHAR NOT NULL,url LONGVARCHAR NOT NULL,start_time INTEGER NOT NULL,received_bytes INTEGER NOT NULL,total_bytes INTEGER NOT NULL,state INTEGER NOT NULL);

For the uninitiated, the table schema tells us that each record contains id, full_path, url, start_time, received_bytes, total_bytes, and state fields.  We can extract the data in csv format, as follows:

sqlite -header -csv History "SELECT * FROM downloads"

Thats nice, but the dates are unixepoch and we dont know what the state integer means, though it can be deduced from the received_bytes and total_bytes fields and studying a known source of data.  I determined that state 1 and 2 mean "complete" and "incomplete" download respectively.

To convert unixepoch to local time, we use the SQLite datetime function.   We tell datetime to take the start_time integer, interpret it as unixepoch time, and translate to localtime.  Exerpted from the rest of the query, it looks like this:

datetime(start_time,unixepoch,localtime)

For clarity in the output, it would be nice to convert the state integer to its text equivalent.  We can do this with the case command.  The case command is the if/then statement of SQLite.  In its simplest application it takes the form CASE  WHEN x=w1 THEN r1 WHEN x=w2 THEN r2 ELSE r3 END where x is the field data, w is a comparison value, and r is the result that is returned.  It is easiest to understand when we apply it to our current circumstance:

CASE WHEN state=1 THEN complete WHEN state=2 THEN incomplete ELSE unknown END

Putting it all together, we can obtain nicely formatted output from the downloads table of the Chrome History database with the following command:

sqlite3 -header -csv History "SELECT id,full_path, url, datetime(start_time,unixepoch,localtime) AS date, received_bytes, total_bytes, CASE WHEN state=1 THEN complete WHEN state=2 THEN incomplete ELSE unknown END AS state FROM downloads"

The caps in the commands are not required, but are designed to make reading the SQLite operators easier.  You may have noted the "AS" operators after the datetime function and case expressions.  It serves to replace the expressions as the header for that column in your csv output.

Your output should look like:

id,full_path,url,date,received_bytes,total_bytes,state
1,/home/slosleuth/Downloads/keepnote_0.7.3-1_all.deb,http://keepnote.org/keepnote/download/keepnote_0.7.3-1_all.deb,"2011-06-23 12:04:46",500022,500022,complete
2,/home/slosleuth/Downloads/iso/nbcaine2.0.dd.gz,http://www.caine-live.net/Downloads/nbcaine2.0.dd.gz,"2011-06-24 13:25:42",85962197,0,incomplete
3,/home/slosleuth/Downloads/iso/nbcaine2.0gz.md5.txt,http://www.caine-live.net/Downloads/nbcaine2.0gz.md5.txt,"2011-06-24 13:27:23",51,51,complete

I hope this helps you with SQLite queries in general and specifically to parse the data in the Google Chrome downloads table of the History SQLite database. 

Google Analytics is an important tool for marketers. It�s used to understand how people come to your website, how different content performs and how to get more conversions. All this is essential for knowing how to drive more high-quality traffic to your website.

For most B2B firms, the main purpose of their website is to generate sales leads by getting visitors to fill in some kind of contact form. But many see that just a fraction of visitors leave their contact information, and as a result, salespeople don�t get enough good quality leads from their website. So what can be done to improve this situation?

This guide will show you the 3 best ways to generate leads with Google Analytics:

1. Using Google Analytics Network report
2. Using a custom Google Analytics report template tool
3. Using Google Analytics with Leadfeeder for lead generation

One way to gain more leads from your website is identifying companies that visit, based on their IP address. With this data, you can have some information about the 98% of visitors that don�t explicitly contact you. When people visit a website using their office network, marketers can identify that someone from a certain company has visited and pinpoint what they have done there. For B2B outbound sales teams, this information can be very valuable.

If you see a company visiting your website, there�s a high probability that they�re in need of- and evaluating your product, which is the perfect time to get in touch with them.

Based on the IP address alone, it�s impossible to know exactly the name of the visitor, but in many cases this information is not needed. For example, if you sell email marketing tools and a company comes to your website and browses product pages, it�s a strong signal they are looking for a new email marketing tool. When you contact them, you want to contact the person who�s responsible for digital marketing, regardless of who visited your website.

For effective lead generation purposes, you should be able to identify real companies that have visited your website and see how they have behaved, to evaluate if they are a good lead.

1. Using Google Analytics Network Report

Using the Network report is the most common way to see which companies have been visiting your website. There have been many blog posts about this topic, for example this LunaMetrics post by Dan Wilkerson from 2012, this how-to article from Anna Lewis and a post by Traian Neacsu on uncovering hidden leads.

But these posts are all now a couple of years old and the Google Analytics interface has changed quite a lot since then. These days (2016) you can find the Network report in Google Analytics under Audience > Technology > Network.


Network report in Google Analytics

In the Network report (seen above) you will see a list of �Service Providers�. What Google Analytics means by �Service Provider� is the network where the visitor has been when they visited your website. Networks are always owned and registered by someone; typically a company, Internet Service Provider or some other organization.

One challenge in using the Network report is that many times the IP is registered by an Internet Service Provider (ISP) or some other non-interesting organization. In order to see the real companies, you should filter out ISPs from the list. The easiest way of doing this is to use the advanced search button and select to exclude Service Providers that match the following RegExp (just copy/paste this to the filter):

(not set|customer|internet|broadband|isp|cable com|network|tele|dsl|subscriber|pool|telecom|cable|addresses|telefonica|routed|leased line|communication|comcast|verizon|road runner|service provider|unknown|provider|t-mobile|wifi|telkom|sprint|at-t|residential|province|vodafone|clients|china|dial-up|netblock|wimax|wireless|elisa|sonera|dna oy|at&t|assigned|sl-cgn|block|consumers|kpn|telia|bredband|google|hosting|zscaler|city of|tdc|hubspot) 

Now the list of visiting companies should look a lot cleaner. If you wish to filter the results even further, e.g. only companies from a specific country, you should create a segment out of visitors from that country and look at the report again.

By default for each company in the list you can see how many sessions they have had during the selected time interval, how many pages they have visited and other metrics. When you click on one company, you can get to a more detailed report, like this one below.

In this view, select �Page Title� or �Page� as secondary dimension to know which pages the company has visited. This way you know what they have done on your website and what they were interested in. If they were visiting relevant product pages or they spent a lot to time on your site but didn�t contact you, maybe it�s a good lead for your outbound sales team to contact.


Using Network report to see what company did on the website

If you would really like to know what each company and their employees have done on your website, you can go to the brand new User Explorer report under the Audience section in Google Analytics. This report was introduced in Google Analytics in April 2016 and in the report you can dive into individual visitors and their behavior.

To know what a company did on your website, just create a segment where the Service Provider matches the company you are interested in (see below).

Using User Explorer to see visitors from one company

By doing this Google Analytics shows you Client IDs (anonymous and unique IDs of each visitor) from that company and by clicking one client ID (one user) you can see all the behavior of that user on your website. This way you can have a good understanding about what any given person from one specific company did on your website. Pretty powerful stuff, as you can see below.


Using User Explorer to see visits of one user

2. Using a custom Google Analytics report template tool

At Leadfeeder we created a ready-to-use Google Analytics custom report that anyone can take into use for free. Just click the link below and attach it as a custom report to the Google Analytics View you typically use: 

https://analytics.google.com/analytics/web/template?uid=zAQeJwWfT0yxlk8wfPWaGA 

When you click this link, you will be directed to Google Analytics and asked which view you want to attach it to. Remember that by default this custom report will be visible only for you. If other users want to use this report, they should also click the Add to Dashboard link above.


B2B Lead generation report by Leadfeeder

Our custom tool by default shows the most interested companies that have visited your website. To be more precise, this is a list of companies after ISP filtering (using the filter pasted above) sorted by pages / session, with the most interesting visits on top.

Typically companies that have spent a lot of time and loaded many pages are more interested than companies with many short visits. Once you click an interesting company, you can see a list of days on which they have visited. When you click even further into a specific date, you can see a breakdown of all the pages they visited. If page titles are not descriptive enough or not set, you can use �Page� as a secondary dimension to see page URLs (as shows below).


Using B2B Lead generation report by Leadfeeder

In the tool you can see several tabs that you can use (see above). The most interested companies tab is selected by default, but you can also select the second tab � companies with most visitors � that shows companies that have most visits on your website. Many times here you can find ISPs that were not filtered out along with other non-interesting companies. If you like, you can drill into details in the same way as in the first tab.

The 3rd and 4th tabs in the report are selectors that you can use to filter data. For example, if you are only interested in German companies, go to �Selector: Visitor location� tab and select Germany. After that click to the first tab to see the most interested companies from Germany. If you have a sales representative located in Germany searching for German leads, you can automatically have Google Analytics send this lead list by daily or weekly email.

Automating notifications from B2B Lead generation tool by Leadfeeder

Similarly, if your sales team�s responsibilities are divided by product, then sales reps might only be interested in leads that have visited certain product pages. Go to �Selector: Visited page� tab and select the product page each sales rep is interested in. Again, after making the selection, go to the first tab to see the list of the most interested companies visiting that product page and automate lead reports to your sales rep�s mailbox. You can also combine these selectors to create a list of companies from a specific country that have visited a specific product page.

3. Using Google Analytics with Leadfeeder for lead generation

Using the Google Analytics user interface for lead generation is possible as you can see, but not very salesperson-friendly.

 In order to better generate leads from your website for your sales department and do much much more, we created an online tool called Leadfeeder. Since Google Analytics is already collecting all the data about your website visitors, Leadfeeder fetches this data from Google Analytics API and does all the data crunching for you.

Leadfeeder lead generation main report

Once you sign up to Leadfeeder, it fetches all visitor data from your Google Analytics for the past 30 days. You don�t need to install any codes or script on your website; all you need to do is permit Leadfeeder to access your Google Analytics.

The web app filters out ISPs (a lot more than the Google Analytics filters shown in this post) handing you a clean list of companies. Once you see an interesting company and click on it, you see visit-by-visit, page-by-page what they have done on your website (as shown below). Leads are also enriched with additional company information such as company branch and size. With all this information it�s easier to determine whether the lead is interesting and whether they should be contacted.


Leadfeeder showing which pages a company has visited

Not all website visitors are interesting, so you can use custom feeds to filter out bounces and view only companies that have behaved in a way you find interesting. For example, you can define a custom feed rule to only show companies from a certain country, from a specific industry, companies that have visited a set number of pages and have visited a specific page but haven�t contacted you.

Using this kind of custom feed you can get a much more relevant list of leads for your sales team. In many companies sales responsibilities are divided by region or product so it�s good practice to make custom feeds for individual sales reps for only their areas of responsibility. Salespeople can subscribe to their personal custom feed to get daily or weekly email notifications about new companies that visit their website and match the set criteria. Understanding the online behaviour of your website visitors combined with knowing the location of the company visit gives sales reps powerful weapons for successful follow-up.


Using custom feeds in Leadfeeder to filter lead list

Seeing a qualified list of interested companies is already powerful, but this sales intelligence should fit within your existing sales process to be really useful. We know it�s the dream of many sales reps to have good leads magically appear in their CRM without the need to do anything, so that�s why at Leadfeeder we have built integrations to sync visitor data with your CRM.

The integration to Pipedrive and WebCRM are made two-way, which means that in Leadfeeder you can see CRM data for the visiting company, while in your CRM you can see all the website visits the company has made, once it�s been connected.

This makes it easier for sales reps to distinguish between new and old clients in Leadfeeder, create accounts and opportunities in their CRM with one click from Leadfeeder, and see in their CRM how prospects are interacting with their website.

Using CRM integration to sending leads from Leadfeeder to CRM

If you are not using a CRM at all, leads can also be sent to sales reps by email or you can assign leads for them to see inside Leadfeeder. It�s good practice to invite the whole sales team to use Leadfeeder with their own user profiles and it�s free to add users.

In addition, if you are using Mailchimp for email marketing, you can connect it to Leadfeeder to see in Leadfeeder what individuals do on your website when they click through from one of your MailChimp campaigns. This is possible because Mailchimp tags links uniquely for all recipients and Leadfeeder can transform these unique links into email addresses. This way you can know exactly who the visitor was on your website.

Leadfeeder offers a free 30-day trial with no credit card required, so if you are in B2B business and would like to get more sales leads, go and sign up at www.leadfeeder.com.

Conclusions

Web analytics has made marketing a lot more intelligent during the last 10 years, but similar development hasn�t transferred to sales.

Web analytics has enabled email tools to evolve into marketing automation by tracking what email clickers do on your website and triggering follow-up emails. Display marketing, similarly, has evolved into very efficient remarketing, where ads are shown to those who have completed action on your website.

In short, there are a lot of digital signals potential customers are giving all the time, but those haven�t been utilized well in sales so far. Many sales reps come to work, open their CRM and start calling through a lead list someone has given them. Meanwhile there are lots of potential customers browsing their website but sales reps aren�t aware of who they are. Our aim at Leadfeeder is to make sales more intelligent by providing salespeople actionable web analytics intelligence about potential customers, thereby making sales more effective.

Posted by Pekka Koskinen, Google Analytics Certified Partner

Looking to sharpen your Google Analytics skills as you kick off 2017? A new full-color book is now available for analysts, marketers, front-end developers, managers, and anyone who seeks to strengthen their Google Analytics skills.


"In Google Analytics Breakthrough: From Zero to Business Impact, we strive to provide a step-by-step resource to help readers build a solid foundation for analytics competence. It starts at strategy and core concepts, extends to advanced reporting and integration techniques, and covers all the nuts, bolts, tricks, gaps, and pitfalls in between," says coauthor Feras Alhlou, Co-founder and Principal Consultant of E-Nor. "The book is structured to offer a succinct overview of each topic and allow more detailed exploration as the reader chooses."

 The book includes contributions straight from the Google team.  Avinash Kaushiks foreword starts things off with a constructive mindset, and Paul Murets cover piece takes a unique perspective on the evolution of Google Analytics from the days of Urchin.  Krista Seiden lends her top reporting tips, and Dan Stone shares insights on remarketing. Industry experts such as Jim Sterne, Brian Clifton, and Simo Ahava also offer key takeaways.

At nearly 600 pages, the book is quite comprehensive, but the authors outline a few main themes below.

1- Define and Measure Success 
It still bears repeating: identify your KPIs as part of your measurement strategy. Map your marketing and development initiatives to the KPIs and center your analytics around your success metrics and specific improvement targets. Youll be much more likely to drive, detect, and repeat your wins, both big and small, if you always know what youre aiming for.

2- Keep Your Focus on User Journey 
This has multiple meanings. From a Google Analytics reporting standpoint, take advantage of the reports and features - such as Multi-Channel Funnel reports, custom segments, custom funnels in Analytics 360, and calculated metrics - that go beyond session scope and begin to approach a more complete picture of user journey.

Even more fundamentally, remember to always relate your data to user experience.  Contributor Meta Brown offers specific advice on crafting a hero story to make your analytics data more accessible and impactful for all stakeholders.

 3- Take Full Advantage of Google Tag Manager 
"When we were first outlining the book, we briefly considered dual-track native and Google Tag Manager examples ," recollects coauthor Eric Fettman, Senior Consultant and Analytics Coach at E-Nor. "Shiraz steered us to a basically GTM-only approach, which  streamlined the implementation chapters and really highlighted GTMs flexibility and power."

In addition to in-depth discussions about GTMs triggers, variables, and data layer, the book examines the relatively new and perhaps underutilized Environments feature.  While the publication schedule didnt allow direct inclusion of GTM Workspaces, the supplemental online materials offer a detailed Workspaces walkthrough. ?

As an illustration of Google Tag Managers flexibility, this Lookup Table variable will allow a single Google Analytics tag to populate into different properties based on hostname.

4- Help Google Analytics Tell Stories in Your Own Language 
From both an implementation and reporting standpoint, Google Analytics provides a range of capabilities for customizing your data set and optimizing the reporting experience so your data speaks clearly and relevantly.  Custom dimensions and data import for your content, products, and back-end user classifications will let you build more meaningful and actionable narratives. Custom channels - for paid social traffic, as an example - will certainly yield much greater insights than default channel reporting. Alternate report displays and custom reports allow you to combine and isolate the metrics that are most important for the analysis at hand.

And dont fail to take full advantage of basic features such as secondary dimensions. The Landing Pages report is good by default; Landing Pages with Source/Medium applied as a secondary dimension might reveal a whole new secret.

5- Master the Basics for Advanced Benefits in GA 360, BigQuery & Integration 
The fundamental Google Analytics data collection and processing tactics remain as important in 2017 as ever.  You still need to implement event tracking, with a meaningful naming convention, to really understand user interaction. You must maintain consistency in campaign tagging for clarity in your Acquisition reports. In many cases, you still must apply view settings and/or filters to insure data quality in all of your Google Analytics reports.

The benefits of clean data, however, extend beyond the Google Analytics user interface.  If youre exporting to BigQuery (integration with BigQuery is enabled for Analytics 360 organizations) to analyze conversions over multiple sessions by different traffic channels, the campaign tagging and channel grouping work that you have already performed for your GA reporting will again prove critical.  If youre also pulling your CRM data into BigQuery to integrate with GA data and measure the effect of specific interactions � such as downloads, video views, or live chats � on customer lifetime value, youll be doubly glad that you took the time to properly implement your Google Analytics event tracking from the start.

Going forward, as we begin to navigate through dynamic visualizations in Google Data Studio and look towards advanced solutions such as Attribution 360 and Audience 360, the competitive advantage of good, consolidated Google Analytics data, as a dataset for complementary tools and environments, will only magnify.

"We dedicate the book to our contributors, to our clients, to the team at E-Nor, and especially to our coauthor and E-Nor cofounder Shiraz Asif, who passed away in March 2016 and will always be keenly missed." For more about Google Analytics Breakthrough: From Zero to Business Impact, visit www.gabreakthrough.com.

Posted by Feras Alhlou,  Principal Consultant and Co-founder of E-Nor, Inc., Google Analytics Partner

Then change your marketing message on the spot to match what you learn. If your survey shows that the words "family friendly" are what brought customers to your hotel, you can build new ad groups to take advantage of this information. (You might even use Optimize to test new landing pages with that phrase!)

Heres an early report from the online shopping site Jet:

"Google Product Listing Ads (PLAs) have been an effective way for Jet.com to drive website traffic, but we needed to optimize for conversions. Surveys 360 connected us directly to our customers through remarketing audiences to determine which factors influence their purchase decisions most. The results were clear: customers care most about free, fast shipping and our free returns. We used this insight to revise our messaging in PLAs and across Jet.com which quickly improved performance."
�Ben Babcock, Director of UX Research at Jet.com 

Getting started is easy: Just log into your Surveys 360 account with the same credentials used for your AdWords account. When you select "remarketing audience" for survey targeting, your AdWords remarketing lists will be automatically pulled into Surveys 360 and ready for use. Learn more.

All together now 

 These new integrations are one more way for Optimize and Surveys 360 users to make the most of their AdWords investments. We hope youll find them a fast and simple way to understand what works for your customers and give them more of what they want.

¹Econsultancy and Google, Marketing and Measurement Survey, March 2017

Posted by Michael Cumberbatch, Product Manager, Surveys 360 and Rotimi Iziduh, Product Manager, Optimize