Data2

53
+ Understanding & presenting online & web stats – showing IMPACT Jeff Wisniewski Web Services Librarian University of Pittsburgh

description

 

Transcript of Data2

Page 1: Data2

+

Understanding & presenting online & web stats – showing IMPACT

Jeff Wisniewski

Web Services Librarian

University of Pittsburgh

Page 2: Data2

+RoadmapImpact

Web statisticsTrendsContent typesGoalsCampaigns

Caveats

Built in visualizations

Trend watch: Real time visualization tools

Page 3: Data2

+Showing impact

(NARRATIVE / CONTEXT) x VISUALIZATION

Page 4: Data2

+Tell the story

With numbers

With context

With compelling visuals

Page 5: Data2

+

Good data visualization tells a story that can be understood by

anyone

The goal is to reduce complexity and give data a human face

Page 6: Data2

+

Page 7: Data2

+Web statistics

Page 8: Data2

+Google analytics

Google analytics as example, so YMMV

Page 9: Data2

+Google analytics

Trends

Content impact: Content types

User experience impact: Goals

Outreach impact: Campaigns

Real Time

Page 10: Data2

+

Page 11: Data2

+The big picture is too big

Page 12: Data2

+IMPACT

Content

User Experience

Outreach

Page 13: Data2

+Content IMPACT

Page 14: Data2

+Different metrics for different contentTime on page:

Engagement content (blogs, guides, reviews): hopefully high

Funnel content (get me to…databases, ejournals, catalog, etc): hopefully very low

Informational content (hours, policies): hopefully low

Page 15: Data2

+How to

Admin > View > Custom Channel Groupings > New Content Grouping

Page 16: Data2

+

Page 17: Data2

+User Experience IMPACT

Page 18: Data2

+Use personas to Identify top tasks by audience

What specific things does Stacey want to do on our site?

Set up GOALS and FUNNELS around these tasks

Page 19: Data2

+ Stacey freshman

the source of the information can come from anywhere and is really irrelevant; she just needs to know where to look

uses often commercial search engines like Yahoo and Google to locate information

she doesn’t distinguish between the online catalog and the library web site; for her, the web site is just the way to get to the catalog with some additional information mixed in

Unaware of library tools and resources

needs help with the research process and is overly-confident about her own research skills, which may not be as strong as she thinks

jfudrow
Are freshmen overly confident yet lacking actual skills?Satisficing
Page 20: Data2

+ spends a lot of time at the library to study for midterms and finals; wants to be able to check easily what the library hours are

she wants to easily connect to wi-fi and uses self-print for all her assigned readings

does not rely heavily on the library’s print journal collections; commonly uses e-journal collections

uses primarily books on reserve and rarely checks out a book or two from Hillman collection; expects Hillman library to have all the textbooks required by instructors and is surprised if they are not in the collection or are not placed on reserve for students

uses chat or calls the front desk to get help from library staff with locating a reference

uses her smart phone to find the call number of a book on reserve, see if a book is checked out and when is due back, or look up the syllabus, the course number, or the name of the instructor

Page 21: Data2

+Goals

Goal : the page a visitor reaches once they have completed a desired action

Funnel : The (optimized) steps along the way to the goal

Page 22: Data2

+Examples

Can students successfully find and enroll in a class on your site?

After visiting a readers’ advisory page do people click into the catalog to find and checkout items?

Are students clicking from a course libguide into a database that the guide recommends?

Page 23: Data2

+The goal

Page 24: Data2

+

Step 1

Sstep 2

Sstep 3

The funnel

Page 25: Data2

+How to

Admin > Goals > Create New Goal

Page 26: Data2

+

Page 27: Data2

+*PRO TIP

Exact match has to be EXACTLY the same as the URL….even leading or

trailing spaces will cause it to fail

Page 28: Data2

+

Page 29: Data2

+Outreach IMPACT

Campaigns

Page 30: Data2

+Campaigns

Great way to demonstrate the impact (or lack thereof) of specific online outreach

and marketing efforts

Page 31: Data2

+Campaigns

How many library mailing list members clicked the link in the PDF we sent about our new makerspace?

How many people took our annual survey from the link if Facebook versus the link on Twitter?

Page 32: Data2

+Campaigns

Allows for tagging URLs with special parameters

Source- blog, Facebook

Medium- PDF flyer, website

Campaign- new_community_meeting_rooms

Page 33: Data2

+How toutm_source: Identify the advertiser, site, publication, etc. that is sending traffic to your property, e.g. Google, citysearch, newsletter4, billboard.

utm_medium: The advertising or marketing medium, e.g.: cpc, referral, email.

utm_campaign: The individual campaign name, slogan, promo code, etc. for a product.

utm_term: Identify paid search keywords. If you're manually tagging paid keyword campaigns, you should also use utm_term to specify the keyword.

utm_content: Used to differentiate similar content, or links within the same ad. For example, if you have two call-to-action links within the same email message, you can use utm_content and set different values for each so you can tell which version is more effective.

Page 34: Data2

+How to: URL Builder

https://support.Google.com/analytics/answer/1033867?hl=en&ref_topic=1032998

Page 35: Data2

+General web stats caveat

Page 36: Data2

+The bounce rate mythWe link to a LOT of third party sites

from our websites:

Catalogs

Discovery tools

Overdrive

Databases

LibGuides

Book review sites

Page 37: Data2

+The bounce rate myth

A user who visits your homepage and then visits one of these places has

Page 38: Data2

+When the cookie crumbles*

New vs Returning users relies on cookies.

• Up to 66% of users user multiple devices

• App. 30% of users deleted cookies in a one month period

*I stole this title from the comscore article of the same name because I liked it

http://www.comscore.com/Insights/Blog/When_the_Cookie_Crumbles

Page 39: Data2

+Communicating the results

Page 40: Data2

+Key visualizations

Page 41: Data2

+Communicate

With BOTH internal and external stakeholders

Page 42: Data2

+traffic> search> organic

Page 43: Data2

+traffic> search> organic

Page 44: Data2

+Content>Landing pages &exit pages

Page 45: Data2

+Content>Landing pages &exit pages via visitor flow

Page 46: Data2

+Content>top pages

Page 47: Data2

+Content>top pages (in-page analytics)

Page 48: Data2

+Real-Time Visualization Tools

Page 49: Data2

+Trend Watch: Real time visualizations

Gale Analytics on Demand

http://www.thedigitalshift.com/2014/04/research/gale-releases-analytics-demand-demographic-gis-libraries/

create maps, charts, and reports that illustrate where their patrons live, how different demographic groups are utilizing the library, which genres or resources are most popular among different consumer segment

Page 50: Data2

+Trend Watch: Real time visualizations

“Making the Invisible Library Visible”

Checkouts

How many people on the website right now?

http://library.case.edu/ksl/aboutus/assessment/publicwow/

http://www.optiem.com/

Page 52: Data2

+Questions?

Page 53: Data2

+

Thank you!