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SimplyE Analytics are provided through an integration with between the SimplyE circulation manager and Google AnalyticsTM. All We do not track events within the mobile app directly, and all events are event based versus client based so that no particular user can be identified (via their IP Address and Device ID). All events are anonymously generated by the transactions of signing in, placing holds, and borrowing a book from the libraries vendors, use of the clientby the Circulation Manager. Therefore events fall into 3 basic categories:
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All events can be viewed from an assortment of Dimensions such as Title, Author, Audience, Genre, etc.
In Google Analytics events are captured by the standard Event Metric through the Measurement Protocol. The events are reported under the category of Circulation and the dimension of Event_Action. The Event Metric is a numeric value representing the time a "hit" or count of event occurrences. This metric is accumulated automatically based on the time stamp of the event report. This allows a time series view of the Event Totals or Unique Events measures in Google Analytics.
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The Circulation Manager nor the implementation enables unique temporary or persistent identifiers to be generated or provided as part of the analytics payload to the measurement endpoint. The IP Address and URLs reported to Google are of the Circulation Manager only, not of the individual client machine or user device in use by a patron. This proxy and anonymization strategy inhibits the ability to link any particular transaction to a user or uniquely identify a user in Google Analytics. |
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Events that we hear about from the SimplyE app.
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Additional Events Coming Soon:
- open_book_first_time (what should we name this?) – A patron opened a book in the SimplyE app for the first time on their current device. If they open the book on an additional device later, that will also be an open_book_first_time event.
Suggestions?
Dimensions that are included in each event:
- audience – whether the book is classified as Adult, Young Adult, Children, or Adults Only
- fiction – fiction or nonfiction status of the book
- genre – The "top genre" for the book in the event - the genre with the highest weight in our databasetime – time that the event occurred. May be inaccurate for distributor events.
- identifier – The identifier (eg. Overdrive ID or ISBN) that SimplyE uses to refer to the book. Could be used for filtering to a specific book.
- identifier_type – The type of identifier that SimplyE uses to refer to the book (eg. Overdrive ID or ISBN). Could be used to filter by distributor.
- title – title of the book
- author - author language – language of the bookpublisher – publisher of the book
- fiction – fiction or nonfiction status of the book
- audience – whether the book is classified as Adult, Young Adult, Children, or Adults Only
- target_age – target age range of the book
- time – time that the event occurred. May be inaccurate for distributor events.
- publisher – publisher of the book
- language – language title – title of the book
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- genre – The "top genre" for the book in the event - the genre with the highest weight in our database.
- open_access - books that are under an open access license
- distributor - the distribution service provider for the title
- medium - the format of the title
- library - the library from who collection the circulation event occurred
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- Readers Advisory – How does what we promote affect demand? "Demand Shaping"
- Collection Development – What do people like to read? – Genre intelligence, Audience, Authors, etc
- Marketing – What are New Yorkers Reading? Engagement with our patrons
- Data Analytics – SimplyE circulation vs the distributor circulation, basics stats, etc.
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You can see tutorials and demos at https://support.google.com/analytics/
- Set email reports – Demo / Quickstart
- Set up Dashboards – Demo / Quickstart
- Set up a custom report – Demo / Quickstart
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Patron Identifier based events – This is wanted in order to measure on an event basis the type of activity individual users demonstrate so the library can better understand users needs for e vs physical media or other media types. This would mean counting event types by Patron ID but not the specific dimensions that could point to a specific reading history on a title basis. This data may need to go into a separate Analytics account or system given the individualized nature of the data capture.
Medium dimension – To filter events to a specific medium like epub or audiobook.