Archive for September, 2017

daily 09/30/2017

September 30, 2017 Leave a comment
    • There’s the potential for space tourism or building habitats in lower Earth orbit. And then there’s point-to-point travel here on Earth, though that may have its own logistical problems.
    • “How elastic is the launch market?” Jonathan McDowell, an astrophysicist at Harvard and spaceflight expert, tells The Verge. The average fleet of satellites launched each year could likely fit on just a handful of BFR launches. What else is there left to launch?
      • there are only so many satellites to launch..lowering price below market clearing rate won’t increase number of units put into spacegamble here is that new uses will be found to fill capacity
    • In order to fully reap the benefits of reusability, these rockets are going to have fly a lot — perhaps hundreds, or even thousands of times a year — to truly bring the cost of launch down.
    • “If it only has 100 flights in the BFR, I don’t think it’s lower cost than the Falcon 1,” says Miller.
    • the cheapest rocket SpaceX has ever flown
      • unlikely. also how?
    • He plans to make the rocket and spaceship combo a fully reusable system (unlike the Falcon 9, which is only partially reusable).
    • “That’s a huge, huge rocket to launch satellites,” says Weeden. “And the trend seems to be going toward much smaller satellites.
    • The vehicle would easily be the most powerful rocket ever built.
    • He argued that the new system would essentially replace the Falcon 9 rocket and Dragon spacecraft, and that SpaceX could use the new vehicle to launch satellites, service the space station, and even clean up space debris in orbit.
    • have hinted at a return to the lunar surface
      • why?
    • “aspirational” deadline of sending the vehicle to the Red Planet by 2022.
    • The revenue SpaceX currently receives from launching satellites and servicing the International Space Station will also go toward funding the development of the rocket, Musk said.
      • ye need cash flow
    • it’s likelier that the company will need additional funds
      • this is why he’s promoting it = everybody wants in on musk ventures now
    • The company is no longer going to put resources into improving its current line of Falcon 9 vehicles or its bigger, next-generation Falcon Heavy.
    • His ideas may be enough to fund the transition and keep the company profitable, but there are some fairly obvious gaps in the plan.
    • Big Fucking Rocket.
    • Lieu, who said he has lived in the United States for over four decades and who holds the rank of colonel in the United States Air Force Reserves, also raised concerns that if enacted, the rule will be ineffective. Why does he think this? Because DHS’ own inspector general report found in February 2017 that previous “social media screening” pilot programs “lack criteria for measuring performance to ensure they meet their objectives.”
    • Introduction to segmentation

    • Segmentation in Google Analytics is a way to view a subset of data in a report.
    • You can create user segments or session segments.
    • User segments can span multiple sessions with a maximum date range of 90 days
    • you can create session segments for a Goal users completed during the session or the amount of revenue a user generated.
    • add multiple segments to a single report for comparison.
    • build segments based on a specific traffic source like paid search and compare that to sessions that originated from email campaigns.
    • Both user and session segments can be built using dimensions, metrics, session dates, and even sequences of user actions.
    • import segments that other users have created or share your own custom segments.
    • Default Segments


    • New Users and Returning Users segments.
    • You can compare up to four segments at one time.
    • Build audience” let’s you build an audience for remarketing (which we’ll cover later).
    • Custom Segments


    • You can segment by demographics, technology, behavior, session dates, traffic sources, and ecommerce (if implemented

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daily 09/29/2017

September 29, 2017 Leave a comment

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daily 09/28/2017

September 28, 2017 Leave a comment
    • How to set up Custom Dimensions
    • You collect data for a Custom Dimension using JavaScript tracking code that’s implemented on a page
    • How to set up advanced filters on views
    • Filters can help refine your data and make it more readable in your reports
    • in a specific website directory
    • track subdomains of your website in separate views.
    • There are two kinds of filters: “predefined” and “  custom” filters.
    • Custom Filters


    • Custom filters let you include or exclude hits from your data collection, format data to lowercase or uppercase, search and replace data collected in the hit. Custom filters accomplish this by matching a particular filter text-pattern that you identify.
    • Include filters
    • You can set up a custom “include-only” filter on the view for Device Category and specify a value of “Mobile.”
    • Exclude filters
    • Lowercase and Uppercase filters


      You can also use filters to normalize the data in your reports to make them easier to use.

    • Regular expressions (or “reg ex” for short) are characters that you can use to identify matching text in order to trigger an action. A basic regular expression on a filter can be something as simple as a word or a more complicated combination of characters.
    • Remember that filters, like all configuration settings, are not applied retroactively to your data.
    • Also, don’t forget that the order in which you apply the filters is very important. Each filter passes filtered data to the next filter in the sequence, so you’ll want to be thoughtful about the order in which you apply your filters.
    • Managing multiple accounts or properties
    • we recommend at least three views: a “Raw Data,” “Test,” and “Master” view.
    • When you create an account in Google Analytics, the account is assigned a unique ID.
    • You can simply select any of the accounts associated with a particular email by selecting the Account menu in the Admin section.
    • o better align your reporting to your business, you can have multiple properties under each Analytics account.
    • We recommend tracking each website, mobile app, or device in separate properties.
    • If you have two related websites with different URLs or subdomains that you want to track in a single property, you can set up what’s called “cross-domain tracking.” 
    • ross-domain tracking will recognize when a user navigates between related websites in the same session. This is also known as “site linking.
    • Using a feature called “rollup reporting,” you can aggregate data automatically from multiple properties into a new combined property.
    • when users are identified by the same Client ID across different source properties, session data for those users is usually merged; otherwise, that session data remains separate.
    • properties also have a unique Property ID that’s appended to the Analytics ID.
    • Each Analytics account can currently have up to 50 properties and each property can have up to 25 views.
    • you can grant user-permissions at the account, property, or the view level.
    • For example, let’s say you’re the administrator of a site with multiple sub-directories based on different departments in your business. You can create different views for each department using filters and then grant access to each view for the members of those departments.
    • he Google Merchandise Store is a medium-size ecommerce business. They use a single account, a single property, and three views for raw data, testing, and production.
    • The Great Outdoors’ measurement plan
    • Business Objective


      Drive additional Great Outdoors revenue through travel bookings.

    • KPIs (Metrics)
    • Traffic Sources
    • You’ll want to take some time to define your business objectives and how you expect to measure those outcomes.
    • “macro” conversions, since they represent the broader goals of your business.
    • micro” conversions, since they nudge users closer to your macro-conversions.
    • For an e-commerce site, the macro-conversion might be to purchase a product with a micro-conversion of subscribing to a newsletter.
    • For a lead generation site, the macro-conversion might be filling out a contact form with a micro-conversion of following the site on social media
    • For a content publisher, the macro-conversion might be engaging with a particular amount of content with a micro-conversion of clicking into an article.
    • For an online information and support site, the macro-conversion might be completing a guided support flow to successfully solve an issue with a micro-conversion of rating a support article.
    • Your measurement plan should include an overall business objective, different strategies that support that objective, and tactics that will help you achieve your strategies.
    • Each tactic will have key performance indicators (or KPIs) that help you measure your macro- or micro-conversions.
    • Macro conversions usually measure the tactics that support your various strategies. Micro conversions are metrics that help you better understand the user behavior that leads to macro conversions. 
    • Let’s look at an abbreviated example of a measurement plan using the Google Merchandise Store. Click on each card below for a brief description of the KPIs and segments the Store will use to measure its business tactics.



      Click through the measurement plan

    • Storing data to generate reports quickly
    • store each dimension in its own aggregate database table for fast retrieval.
    • All Google Analytics reports are a single dimension, and the corresponding metrics for each value of that dimension. You’ll notice that most reports in Analytics use rows for dimensions, and columns for the associated metric data. 
    • Metrics are either calculated in aggregate such as total sessions, users, or pageviews
    • or specific dimensions (like Sessions or New Users per country).
    • When Analytics creates dimensions and metrics during processing, it has to determine the scope of those dimensions and metrics in order to know how broadly applicable they are to your data. 
      • Dimensions and metrics can have one of three scopes:



        • hit-level

        • session-level

        • user-level
    • You can only pair metrics with dimensions if they are both in the same scope.
    • you will have to manually set the scope for any Custom Dimensions or Custom Metrics you create. You can find the scoping for different dimensions and metrics at the end of this lesson.
    • Each reporting view you’ve created adds the data (with filters and configuration settings applied) to “aggregate” data tables, which are processed daily. These aggregate tables are used to quickly display the standard reports in Analytics.
    • generate more customized reports in Analytics using features like secondary dimensions or by creating a Custom Report.
    • For standard users, session sampling occurs at the property level, not the view level.
    • Transforming data using configuration rules

    • Data Filters
    • For example, you might want to include only data from a particular country
    • two reasons you might want to apply filters. You may need to transform the data that shows up in a view.
    • Or you might want to exclude any internal employee traffic from a view reporting on customer data.
    • Goals
    • Destination (or Pageview) Goals
    • Event Goals
    • Duration Goals
    • Pages or Screens per Session”
    • A conversion is counted once per session per configured goal.
    • goal value (if you’ve indicated one), and goal conversion rate, and includes these in your reports.
    • transactions are credited to the last campaign, search, or ad that referred the user.
    • Channel and Content Groupings
    • Custom Dimensions can be used as a secondary dimension in standard reports, a primary dimension in a Custom Report, or as a segment.
    • “Custom Metrics” can be collected for any standard dimension or Custom Dimension that can’t be measured by any predefined metric in Google Analytics. 
    • Categorizing data into users and sessions
      • First, Analytics determines new vs. returning users.

      • Then it categorizes hits into session (or periods in which the user engaged with the site).

        • Next, it joins data from the tracking code with other data sources. 


    • When a user arrives on a page with tracking code, Google Analytics creates a random, unique ID that gets associated with the user’s browser cookie. 
    • nalytics considers each unique ID to be a unique user.
    • you wish to track users across devices, you’ll need to turn on the User ID feature, which we’ll cover later.
    • Defining Sessions
    • a session begins when a user navigates to a page that includes the Google Analytics tracking code and generates a “pageview” hit.
    • t will end after 30 minutes if no other hits are recorded
    • Once Google Analytics has organized data by session, it can calculate a number of the metrics that show up in your reports such as sessions, pages per session, average session duration, and bounce rate.
    • add data from external systems using the measurement protocol and linking to other Google accounts. 
    • Unlike the tracking code which sends hits automatically, if you want to collect data from a system outside of Google, you must pass the data collection hits manually in a URL string.
    • You can find more information about the Measurement Protocol in the Analytics Developer documentation linked at the end of this lesson.

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daily 09/27/2017

September 27, 2017 Leave a comment
    • No, it’s one of the great ideas of the film—that the subject of subjectivity is woven through the story. That the search for authenticity is the character’s journey, and it is also the journey of a fan. So, going into a potential sequel was just a recognition that those are chief among the themes at play.
    • Whichever you can watch tonight.”
    • The time gap] took its toll on the character Deckard. Things happened to him. But that’s another story. And it’s not a very interesting story, possibly.
    • germane
      • Germane
    • r. There are no parts of the story that could be removed and you still got a whole piece
    • . But mostly it’s just that strong women characters are great characters and we want lots of them in all our films.

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daily 09/06/2017

September 6, 2017 Leave a comment
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daily 09/05/2017

September 5, 2017 Leave a comment

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daily 09/04/2017

September 4, 2017 Leave a comment

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