Monthly Archives: October 2017

Google Optimize now offers more precision and control for marketers

Savvy businesses review every step of the customer journey to ensure they are delivering the best experience and to find ways to offer more value. Today, we’re releasing two new features that will make it easier for you to improve each of those steps with the help of Google Optimize and Optimize 360.

AdWords integration: Find the best landing page 

Marketers spend a lot of time optimizing their Search Ads to find the right message that brings the most customers to their site. But that’s just half the equation: Sales also depend on what happens once people reach the site.

The Optimize and AdWords integration we announced in May gives marketers an easy way to change and test the landing pages related to their AdWords ads. This integration is now available in beta for anyone to try. If you’re already an Optimize user, just enable Google Optimize account linking in your AdWords account. (See the instructions in step 2 of our Help Center article.) Then you can create your first landing page test in minutes.

Suppose you want to improve your flower shop’s sales for the keyword “holiday bouquets.” You might use the Optimize visual editor to create two different options for the hero spot on your landing page: a photo of a holiday dinner table centerpiece versus a banner reading “Save 20% on holiday bouquets.” And then you can use Optimize to target your experiment to only show to users who visit your site after searching for “holiday bouquets.”

If the version with the photo performs better, you can test it with other AdWords keywords and campaigns, or try an alternate photo of guests arriving with a bouquet of flowers.

Objectives: More flexibility and control 

Since we released Optimize and Optimize 360, users have been asking us for a way to set more Google Analytics metrics as experiment objectives. Previously,
Optimize users could only select the default experiment objectives built into Optimize (like page views, session duration, or bounces), or select a goal they had already created in Analytics.

With today’s launch, Optimize users no longer need to pre-create a goal in Analytics, they can create the experiment objective right in Optimize:

Build the right objective for your experiment directly in the Optimize UI.

When users build their own objective directly in Optimize, we’ll automatically help them check to see if what they’ve set up is correct.

Plus, users can also set their Optimize experiment to track against things like Event Category or Page URL.

Learn more about Optimize experiment objectives here.

Why do these things matter? 

It’s always good to put more options and control into the hands of our users. A recent study showed that marketing leaders – those who significantly exceeded their top business goal in 2016 – are 1.5X as likely to say that their organizations currently have a clear understanding of their customers’ journeys across channels and devices.1 Testing and experimenting is one way to better understand and improve customer journeys, and that’s what Optimize can help you do best.

>>> Check out these new features in Optimize now<<<

1Econsultancy and Google, “The Customer Experience is Written in Data”, May 2017, U.S.

Posted by Rotimi Iziduh and Mary Pishny, Product Managers, Google Optimize

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Data Studio: Richer Visualizations and Analytical Functions

The Data Studio team has been hard at work launching new features to allow for richer visualization and new views on data. Today, we’ll highlight some of these recent launches. Pivot Tables Pivot tables let users narrow down a large data set or analyze… Continue reading

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Perihal PunyaPoker

PunyaPoker Situs Pusat Poker V BandarQ Domino QQ Online Terpercaya N’aka nke ozo, oge o bula ndi mmegide ji aka ha di iche iche site na uzo … Continue reading

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Smarter attribution for everyone

In May, we announced Google Attribution, a new free product to help marketers measure the impact of their marketing across devices and across channels. Advertisers participating in our early tests are seeing great results. Starting today, we’re expanding the Attribution beta to hundreds of advertisers.

We built Google Attribution to bring smarter performance measurement to all advertisers, and to solve the common problems with other attribution solutions.

Google Attribution is:

  • Easy to setup and use: While some attribution solutions can take months to set up, Google Attribution can access the marketing data you need from tools like AdWords and Google Analytics with just a few clicks.
  • Cross-device: Today’s marketers need measurement tools that don’t lose track of the customer journey when people switch between devices. Google Attribution uses Google’s device graph to measure the cross-device customer journey and deliver insights into cross-device behavior, all while protecting individual user privacy.
  • Cross-channel: With your marketing spread out across so many channels (like search, display, and email), it can be difficult to determine how each channel is working and which ones are truly driving sales. Google Attribution brings together data across channels so you can get a more comprehensive view of your performance.
  • Easy to take action: Attribution insights are only valuable if you can use them to improve your marketing. Integrations with tools like AdWords make it easy to update your bids or move budget between channels based on the new, more accurate performance data.

Results from Google Attribution beta customers

Last April, we shared that for AdWords advertisers, data-driven attribution typically delivers more conversions at a similar cost-per-conversion than last-click attribution. This shows that data-driven attribution is a better way to measure and optimize the performance of search and shopping ads.

Today we’re pleased to share that early results from Google Attribution beta customers show that data-driven attribution helps marketers improve their performance across channels.

Hello Fresh, a meal delivery service, grew conversions by 10% after adopting Google Attribution. By using data-driven attribution to measure across channels like search, display, and email, Google Attribution gives Hello Fresh a more accurate measurement of the number of conversions each channel is driving. And because Google Attribution is integrated with AdWords, Hello Fresh can easily use this more accurate conversion data to optimize their bidding.

“With Google Attribution, we have been able to automatically integrate cross-channel bidding throughout our AdWords search campaigns. This has resulted in a seamless change in optimization mindset as we are now able to see keyword and query performance more holistically rather than inadvertently focusing on only last-click events.- Karl Villanueva Head of Paid Search & Display, HelloFresh

Pixers, an online marketplace, is also seeing positive results including increased conversions. Google Attribution allows Pixers to more confidently evaluate the performance of their AdWords campaigns and adopt new features that improve performance.

“By using Google Attribution data we have finally eliminated guesswork from evaluating the performance of campaigns we’re running, including shopping and re-marketing. The integration with AdWords also enabled us to gradually roll-out smart bidding strategies across increasing number of campaigns. The results have significantly exceeded expectations as we managed to cut the CPA while obtaining larger conversion volumes.”- Arkadiusz Kuna, SEM & Remarketing Manager at Pixers

Google Attribution can also help brands get a better understanding of their customer’s path to purchase. eDreams ODIGEO, an online travel company, knows that people don’t usually book flights or hotels after a single interaction with their brand. It often requires multiple interactions with each touchpoint having a different impact.

“Some channels open the customer journey and bring new customers, whereas other channels are finishers and contribute to close the sales. Google Attribution is helping us to understand the added value of each interaction. It enhances of our ability to have a holistic view of how different marketing activities contribute to success.”
– Manuel Bruscas, Director of Marketing Analytics & Insights, eDreams ODIGEO

Next steps

In the coming months we’ll invite more advertisers to use Google Attribution. If you’re interested in receiving a notification when the product is available for you, please sign up here.

Don’t forget, even before adopting Google Attribution, you can get started with smarter measurement for your AdWords campaigns. With attribution in AdWords you can move from last-click to a better attribution model, like data-driven attribution, that allows you to more accurately measure and optimize search and shopping ads.

Posted by Bill Kee, Group Product Manager, Measurement and Attribution

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Perihal Sbctogelcom

sbctogelcom Sgp HK Online Terpercaya Hetevabar, ays anoroshutyan hamar pvokhhatutsum e pahanjvum aveli uzhegh dzerrky: Seghmumn irakanatsvum e ays skzbunkov: Chamratsvats khaghatsvoghnery hamematabar aveli dzerrkyer yen khaghum yev hakvats yen sharunakel tuyl dzerrkyery: hetevabar nrank hachakh chyen brrnum: Khist khaghatsvoghnery khaghum yen hamematabar aveli kich dzerrkyer yev hakvats chyen sharunakel tuyl dzerrkyery: hetevabar nrank hachakh tsalum yen: Hetevyal haskatsutyunnery kirarrvum yen chamratsvats khagherum (yev drants hakarrakordnery amur khagherum). Bluffs- y yev kisa-blyufy kich ardyunavet yen, kani vor azat mrtsakitsnern aveli kich havanakan yen: Dzerrkyeri het sharunakelu pahanjnery karogh yen aveli tsatsr linel, kani vor azat khaghatsvoghnery karogh yen naev aveli tsatsr arzhek dzerrk berel: Dzerrk berelov liarzhek dzerrkyerin, inchpes papuknery, dzgtum yen aveli arzhekavor linel, kani vor voch vokinery hachakh dzerrk yen berum barenpast havasarakshrrutyun yev aveli uzhegh dzerrky (voch tye parzapes mi zuyg), hachakh pahanjvum e haghtyel bazmaprofilayin katsanerum: Agresiv khaghadruyky veraberum e khaghadruykneri yev bardzratsmany: Pasiv khaghy verabervum e stugman yev zangaharelu hamar:

Yetye ​​pasiv khaghn ogtagortsvum e khardakhutyamb, inchpes nshvats e, agresiv khaghy, yndhanur arrmamb, hamarvum e uzhegh, kan pasiv khaghadruyk, kani vor khaghadruykneri yev bardzratsman blefi arzhekn e, yev kani vor ayn aveli shat hnaravorutyunner e arrajarkum dzer hakarrakordneri skhalneri hamar: Dzerrki yntyertsumy yndzerrum e usumnakan gushakutyunner katarelu hnaravor karteri masin `hakarrakordy karogh e antskatsnel zambyughum gortsoghutyunneri hajordakanutyan himan vra: «Dzerrkov yntyertsman» terminy, yst eutyan, skhal e, kani vor hmut khaghatsvoghnery chyen pvordzum hstak dzerrkov khaghatsvoghi handznel: Pvokhareny nrank pvordzum yen neghatsnel hnaravorutyunnery mi shark havanakan dzerrkyerum, voronk himnvats yen irents hakarrakordi antsyal gortsoghutyunneri vra, inchpes naev yntatsik dzerrkin yev ays hakarrakordi koghmits nakhord dzerrkyerum: Patmum yen hakarrakordneri varkagtsum kam varkagtsum haytnabereli pvopvokhutyunner, voronk talis yen irents dzerrkyern u mtadrutyunnery: Hakarrakordi karteri yev mtadrutyunneri veraberyal krtvats gushakutyunnery karogh yen ognel khaghatsvoghi skhalnerits khusapyel sepakan khaghits, hakarrakordneri koghmits skhalner arrajatsneluts kam azdel hakarrakordneri vra `gortsoghutyunneri hamar, voronk sovorabar chyen hangetsnum hangamankneri: Orinak, mi patmutyun karogh e yentadrel, vor hakarrakordy bats tvoghets voch voki, aynpes vor khaghatsvoghy tesnum e, vor da karogh e voroshel blefy aveli ardyunavet klini, kan sovorakan:

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Better tools for teams of all sizes

We’ve heard feedback from businesses of all sizes that they need simpler ways to manage the analytics products they use and the team members who use them. That’s why we’re making new controls available to everyone who uses Analytics, Tag Manager, and Optimize and improving navigation for users of Surveys and Data Studio. These new features will help you more easily manage your accounts, get an overview of your business, and move between products.

Streamlined account management

With centralized account management, you can control user access and permissions across multiple products, like Analytics, Tag Manager, and Optimize.

The first step is to create an organization to represent your business. You then link this organization to all of the different accounts that belong to your business. You can also move accounts between the organizations you create.

Now you have a central location where administrators for your organization can:

  • Create rules for which types of new users should be allowed access to your organization
  • Audit existing users and decide which products and features they should have access to
  • Remove users who have left your organization or no longer need access to the tools
  • See the last time a user in your organization accessed Google Analytics data
  • Allow users to discover who are your organization’s admins and contact them for help

New home page

Setting up an organization also gives you access to a new home page that provides an overview of your business. You’ll be able to manage accounts and settings across products and get insights and quick access to the products and features you use most. For example, you might see a large increase in visitors for a specific Analytics property, and then click through to Analytics to investigate where the visitors are coming from.

Simplified navigation

Finally, you’ll get a unified user experience across products. Common navigation and product headers make it easy to switch between products and access the data you need. You can view accounts by organization, or see everything you have access to in one place. We’ve also redesigned search, making it possible to search across all of your accounts in a single place.

Get started

If your business would benefit from these features, please visit this page to get started. You can also check out the help center for more info.

These updates will be rolling out over the next few weeks, so please stay tuned if you don’t yet have access.

Note: If you’re using the enterprise versions of our products, like Analytics 360, you already have access to these features as part of the Google Analytics 360 Suite.

Posted by John Oberbeck, Product Manager Google Analytics

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Perihal Remi13

Remi13 Agen Sakong Judi BandarQ Capsa Susun Bandar Poker Online Indonesia De implicitte odds pa en hand er ikke baseret pa de penge, der aktuelt er i potten, men pa den forventede storrelse af potten ved handens ende. Nar man star over for en lige penge situation (som den der er beskrevet i det foregaende afsnit) og holder en staerk tegningshand (siger en fire flush), vil en dygtig spiller overveje at kalde en vaeddemal eller endda abning baseret pa deres implicitte odds. Dette gaelder isaer i multi-way potter, hvor det er sandsynligt, at en eller flere modstandere vil kalde helt til showdown. Ved at bruge bedrageri haber en pokerspiller at opfordre deres modstandere til at handle anderledes end hvordan de ville, hvis de kunne se deres kort. David Sklansky har argumenteret for, at vinde ved poker ofte bestemmes af, hvor meget en spiller kan tvinge en anden til at aendre sin stil, samtidig med at man opretholder sin egen strategi. Bluffing er en form for bedrag, hvor spillere saetter stor vaegt pa en svag hand for at fa modstandere til at folde overlegne haender.

Tilhorende er semi-bluffen, hvor en spiller, der ikke har en staerk hand, men har en chance for at forbedre den til en staerk hand i senere runder, satser staerkt pa handen i hab om at fremkalde andre spillere med svagere “lavet “haender at folde. Langsomt spil er vildledende spil i poker, der er stort set det modsatte af at bluffe: kontrollere eller vaedde svagt med en staerk bedrift, forsoger at fremkalde andre spillere med svagere haender til at ringe eller haeve indsatsen i stedet for at folde for at oge udbetalingen. Position henvender sig til den raekkefolge, hvor spillere sidder rundt om bordet og de strategiske konsekvenser af dette. Generelt skal spillere i tidligere position (som skal handle forst) have staerkere haender til at satse / haeve eller ringe end spillere i senere position. For eksempel, hvis der er fem modstandere, der endnu ikke handler bag en spiller, er der en storre chance for, at en af ​​de endnu til at handle modstandere vil have en bedre hand, end hvis der kun var en modstander endnu at handle. At vaere i sen position er en fordel, fordi en spiller far at se, hvordan deres modstandere i tidligere position virker (hvilket giver spilleren mere information om deres haender, end de har om hans). Remi13 Agen Sakong Judi BandarQ Capsa Susun Bandar Poker Online Indonesia


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Get Your Data House in Order: Our Checklist for Useful Marketing Data

Every organization has unique data needs, but leading organizations have one thing in common: They expect data to be useful. In fact, marketing leaders are 127% as likely as the mainstream to say that their data and analytics strategy is useful for decision-making at all levels.1

We shared more insights about usefulness — and other findings from new Econsultancy research conducted in partnership with Google — in a recent webinar with MIT Sloan, where marketers from companies of all sizes joined to learn how organizations around the world regularly turn insights into action.

It goes without saying that the word “useful” can mean different things to different marketers. As you build a data strategy that’s optimized for your business, there are a few helpful questions you can ask to frame your thinking.

Use this quick checklist to get yourself on the right track — and watch the webinar to learn more about what the research findings.

Is your data organized? 

The amount of data useful to your company depends on the size of the company, but one thing is certain: only organized data is useful data.

In another study, 61% of marketing decision makers said they struggled to access or integrate the data they needed in 2016.2 When gathering and analyzing data, it’s important to know how your data should be organized in order to know what to focus on. Data dispersed in different organizational silos will be difficult to sift through, let alone use to inform important decisions. Instead, get data out of silos and organize it so that it can be useful.

Is your data focused on the user?

In our webinar, listeners learned that a user-centric approach — and the better understanding of your audience that comes with it — helps organizations handle the ever-increasing number of touchpoints in the customer journey and deliver more relevant, engaging experiences.

Nearly 90% of leaders agree that understanding user journeys across channels and devices is critical to marketing success.3 Any data that allows marketers to better understand these journeys is useful for decision-making.

Is your data integrated?

Our report with Econsultancy found that top companies place a greater emphasis on integrating their technology. Specifically, organizations with integrated marketing and advertising stacks are 37% more likely to say that their company uses data to support decision-making at all levels, compared to marketers without fully integrated technologies.4

Ask yourself: How and where does my business use data? During our webinar, we polled the audience to see in which areas of business the participants most commonly use data and analytics. See how you compare:

The live attendees of our webinar, “Get Your Data House in Order,” answered the question: In what areas of your business are you using data analytics?

Do you have defined KPIs? 

Before you truly define what “useful” data means for you, you need to set KPIs. In our Econsultancy study, 45% of all respondents say that unclear definitions of KPIs present a significant negative impact on their organizations, whereas leaders are 47% more likely than the mainstream to say that their data and analytics strategy includes how they define KPIs for paid media and (38% more likely for owned properties).5

The concept is simple: If you don’t know what you’re working toward, you can’t know what’s useful to you.

Does your team know how to use the data? 

Finally, data can only be useful if your team knows how to interpret and use it. The most effective way to ensure that data is properly shared throughout the team — and that all employees have access to effective training — is to have a documented data and analytics strategy.

More than half of the mainstream marketers we surveyed said their companies do not have adequate analyst-related resources. As a related benchmark, here’s how often our audience said they take action based on data:

Webinar attendee responses to the poll question: How often does your team take action based on data?

For your team to use data to make decisions at all levels, data literacy must be promoted throughout the organization.

Every company will gather and use data differently — but no matter how mature your company is when it comes to using marketing data, this checklist will help you evaluate how effectively you’re using data.

Watch the complete webinar recording of “Marketers: Get Your Data House in Order” to hear more from Google and MIT Sloan speakers.

1,3,4,5 Econsultancy/Google, “The Customer Experience is Written in Data”, May 2017, U.S. (n=677 marketing and measurement executives at companies with over $250M in revenues, primarily in North America; n=199 leading marketers who reported marketing significantly exceeded top business goal in 2016, n=478 mainstream marketers (remainder of the sample), May 2017 2 Google Surveys, “2016-2017 Marketing Analytics Challenges and Goals”, Base: 203 marketing executives who have analytics or data-driven initiatives, U.S., December 2016.

Posted by Karen Budell, Content Marketing Manager, Google Analytics 360 Suite

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Enabling more high quality content for users

In Google’s mission to organize the world’s information, we want to guide Google users to the highest quality content, the principle exemplified in our quality rater guidelines. Professional publishers provide the lion’s share of quality content that benefits users and we want to encourage their success.

The ecosystem is sustained via two main sources of revenue: ads and subscriptions, with the latter requiring a delicate balance to be effective in Search. Typically subscription content is hidden behind paywalls, so that users who don’t have a subscription don’t have access. Our evaluations have shown that users who are not familiar with the high quality content behind a paywall often turn to other sites offering free content. It is difficult to justify a subscription if one doesn’t already know how valuable the content is, and in fact, our experiments have shown that a portion of users shy away from subscription sites. Therefore, it is essential that sites provide some amount of free sampling of their content so that users can learn how valuable their content is.

The First Click Free (FCF) policy for both Google web search and News was designed to address this issue. It offers promotion and discovery opportunities for publishers with subscription content, while giving Google users an opportunity to discover that content. Over the past year, we have worked with publishers to investigate the effects of FCF on user satisfaction and on the sustainability of the publishing ecosystem. We found that while FCF is a reasonable sampling model, publishers are in a better position to determine what specific sampling strategy works best for them. Therefore, we are removing FCF as a requirement for Search, and we encourage publishers to experiment with different free sampling schemes, as long as they stay within the updated webmaster guidelines. We call this Flexible Sampling.

One of the original motivations for FCF is to address the issues surrounding cloaking, where the content served to Googlebot is different from the content served to users. Spammers often seek to game search engines by showing interesting content to the search engine, say healthy food recipes, but then showing users an offer for diet pills. This “bait and switch” scheme creates a bad user experience since users do not get the content they expected. Sites with paywalls are strongly encouraged to apply the new structured data to their pages, because without it, the paywall may be interpreted as a form of cloaking, and the pages would then be removed from search results.

Based on our investigations, we have created detailed best practices for implementing flexible sampling. There are two types of sampling we advise: metering, which provides users with a quota of free articles to consume, after which paywalls will start appearing; and lead-in, which offers a portion of an article’s content without it being shown in full.

For metering, we think that monthly (rather than daily) metering provides more flexibility and a safer environment for testing. The user impact of changing from one integer value to the next is less significant at, say, 10 monthly samples than at 3 daily samples. All publishers and their audiences are different, so there is no single value for optimal free sampling across publishers. However, we recommend that publishers start by providing 10 free clicks per month to Google search users in order to preserve a good user experience for new potential subscribers. Publishers should then experiment to optimize the tradeoff between discovery and conversion that works best for their businesses.

Lead-in is generally implemented as truncated content, such as the first few sentences or 50-100 words of the article. Lead-in allows users a taste of how valuable the content may be. Compared to a page with completely blocked content, lead-in clearly provides more utility and added value to users.

We are excited by this change as it allows the growth of the premium content ecosystem, which ultimately benefits users. We look forward to the prospect of serving users more high quality content!

Posted by Cody Kwok, Principal Engineer

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