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DISCOVERING OUR PATRONS USING GOOGLE ANALYTICS Lake Superior Libraries Symposium, WITC Superior June 1, 2012 Michael Sheehan

Discovering Our Patrons Using Google Analytics

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DISCOVERING OUR PATRONS USING

GOOGLE ANALYTICS

Lake Superior Libraries Symposium, WITC – Superior

June 1, 2012

Michael Sheehan

A LITTLE ABOUT ME AND MY EMPLOYER

Mike Sheehan is the Assistant Director at Northern Waters Library System (NWLS).

NWLS is one of 17 public library systems in the state of Wisconsin.

NWLS provides supplementary library services to 28 public libraries and their patrons in the top eight counties (Ashland, Bayfield, Burnett, Douglas, Iron, Sawyer, Vilas, and Washburn) in Wisconsin.

NWLS has helped member libraries create and maintain their own library websites using Joomla as the website program. NWLS uses Joomla for its website as well.

NWLS manages the regional shared catalog (called Merlin) for the member libraries. NWLS libraries contract with Innovative Interfaces, Inc. for software and maintenance support.

START WITH SOME QUESTIONS

You are curious to know:

The effects of promotional activity on the website…

How much time patrons are spending on the site…

What page patrons enter the site on first…

What OS and browsers are patrons using…

What the ratio is between new and returning

visitors…

Where patrons are coming from…

VARIOUS WEB ANALYZERS

Open Source (free software license) options:

Analog (platform C; logfile based)

W3Perl (platform Perl; logfile based)

Webalizer (platform C; logfile based)

Proprietary options:

Mint (platform PHP; tracks cookies via Javascript; $30/site)

Urchin (platform Windows/Linux/BSD; weblogs & cookies; $9995)

Hosted options:

Bango Mobile Web Analytics (tracks mobile ID & cookies; $49/month)

ClickTale (tracks cookies via Javascript; free - $990/month)

Google Analytics (tracks cookies via Javascript; free)

Quantcast (tracks cookies via Javascript; free)

Yahoo! Web Analytics (tracks cookies via Javascript; free)

ABOUT GOOGLE ANALYTICS (FROM WIKIPEDIA)

Google Analytics (GA) is a free service offered by Google that generates detailed statistics about the visitors to a website. The product is aimed at marketers as opposed to webmasters and technologists from which the industry of web analytics originally grew. It is the most widely used website statistics service, currently in use on around 57% of the 10,000 most popular websites.

GA can track visitors from all referrers, including search engines, display advertising, pay-per-click networks, e-mail marketing and digital collateral such as links within PDF documents.

Users can officially add up to 50 site profiles. It is limited to sites which have a traffic of fewer than 5 million pageviews per month (roughly 2 pageviews per second), unless the site is linked to an AdWords campaign.

MORE ABOUT GA

GA is implemented by including what is known as the Google Analytics Tracking Code (GATC) which is a snippet of JavaScript code that the user adds onto every page of his or her website.

Keep in mind, many ad filtering programs and extensions (such as Firefox's Adblock and NoScript) can block the GATC. This prevents some traffic and users from being tracked, and leads to holes in the collected data.

The largest potential impact on data accuracy comes from users deleting or blocking GA cookies. Without cookies being set, GA cannot collect data. Any individual web user can block or delete cookies resulting in the data loss of those visits for GA users. Website owners can encourage users not to disable cookies, for example by making visitors more comfortable using the site through posting a privacy policy.

FURTHERMORE ABOUT GA

Due to its ubiquity, Google Analytics raises many privacy concerns. Whenever someone visits a website that uses Google Analytics, Google tracks that visit via the user's IP address. If the website also embeds any content from a Google property with which the website visitor has an account, then Google receives sufficient information to identify the user and thus associate the details of the website visit with that user.

Google has announced a new privacy policy which will allow Google to specifically identify and track users of any website that uses Google Analytics, if that user is also a user of any other Google product (Gmail, YouTube, BlogSpot,etc) to which the same privacy policy applies.

Google has also released a browser plugin that turns off data about a page visit being sent to Google. Since this plug-in is produced and distributed by Google itself, it has met much discussion and criticism.

GETTING STARTED WITH GA

Using Google Analytics is very easy. To get started all you need to:

Have a Google email account.

Sign up for a Google Analytics Account (for free!)

Must have administrative access to the website you want to monitor.

Will need to install a tracking code into the pages of the website you wish to monitor.

Wait to gather some data.

EXAMPLE OF TRACKING CODE

For more information, see http://code.google.com/apis/analytics/docs/tracking/asyncTracking.html

Copy the following code, then paste it onto every page you want to track immediately before the closing </head> tag.

<script type="text/javascript">

var _gaq = _gaq || [];

_gaq.push(['_setAccount', 'UA-28121541-1']);

_gaq.push(['_trackPageview']);

(function() {

var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true;

ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js';

var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s);

})();

</script>

GA TRACKS WEBSITE USAGE

GA TRACKS CATALOG USAGE

GA TRACKS MOBILE CATALOG USAGE

WHAT KINDS OF DATA CAN WE GET?

AUDIENCE

ADVERTISING

TRAFFIC SOURCES

CONTENT

CONVERSIONS

WHAT KINDS OF DATA CAN WE GET? AUDIENCE

Overview

Demographics Language

Location (map)

Behavior New vs Returning

Frequency & Recency

Engagement

Technology Browser & OS

Network

Mobile Overview

Devices

Custom Custom Variables

User Defined

Visitors Flow

WHAT KINDS OF DATA CAN WE GET?

ADVERTISING <we don’t use>

Adwords

Campaigns

Keywords

Matched Search Queries

Day Parts

Destination URLs

Placement

Keyword Positions

TV Ads

WHAT KINDS OF DATA CAN WE GET? TRAFFIC SOURCES

Overview

Sources All Traffic

Direct

Referrals

Search Overview

Organic

Paid

Campaigns

Search Engine Optimization Queries

Landing Pages

Geographical Summary

Social Overview

Sources

Pages

Conversions

Social Plugins

Social Visitors Flow

WHAT KINDS OF DATA CAN WE GET? CONTENT

Overview

Site Content Pages

Content Drilldown

Landing Pages

Exit Pages

Site Speed Overview

Page Timings

User Timings

Site Search Overview

Usage

Search Terms

Pages

Events Overview

Top Events

Pages

Events Flow

AdSense Overview

AdSense Pages

AdSense Referrers

In-Page Analytics

WHAT KINDS OF DATA CAN WE GET?

CONVERSIONS <we don’t have setups required for these>

Goals Overview

Goal URLs

Reverse Goal Path

Funnel Visualization

Goal Flow

Ecommerce Overview

Product Performance

Sales Performance

Transactions

Time to Purchase

Multi-Channel Funnels Overview

Assisted Conversions

Top Conversion Paths

Time Lag

Path Length

RESULTS OF CATALOG ANALYSIS

RESULTS OF CATALOG ANALYSIS

RESULTS OF CATALOG ANALYSIS

DATA WE WERE INTERSTED IN

Visits Per Day

Unique Visitors

Time on Site

Loyalty

Length of Visit

Browsers & OS

Screen Resolution

Mobile Devices

Mobile Carriers

Traffic Sources

Top Landing Pages

Top Exit Pages

APPLY TO OUR WEBSITE ANALYSIS

Things to Know - Dropdowns

Things to Know - Export Options

Finding Unique Visitors & Average Time on Site

Finding Duration

Finding Loyalty

Finding Browsers

Finding OS

Finding Screen Resolution

Finding Devices Used

Finding Carriers

Finding Direct Traffic

Finding Traffic Referrals

Finding Landing Pages

Finding Exit Pages

OTHER - Language

OTHER - Location

OTHER – Location (continued)

OTHER – Location (continued)

OTHER – Social Sources

OTHER – Data Comparisons

OTHER – Not Set Example

OTHER – Custom Reporting

OTHER RESOURCES

Marek, Kate. “Using Web Analytics Well.” American Libraries, Sept./Oct. 2011

(excerpt from the following journal article)

Marek, Kate. “Using Web Analytics in the Library.” Library Technology Reports 47, no.5 (2011): 54 pages ISBN: 9780838958339 ISSN: 0025-2586

(found at the ALA store for $43.00 or from GoogleBooks)

Hisle-Chaudri, Stacy. “Think You Know Your Patrons? Using Google Analytics to Discover Patron Behaviors on the James C. Kirkpatrick Library Website.” Library Technology Conference (2012) poster session PDF. Link: http://digitalcommons.macalester.edu/libtech_conf/2012/sessions/41/

Robert Sebek. “Google Analytics: Beyond the Code.” Innovative Users Group Annual Conference (2012) session PDF. Link is password protected; ask Mike Sheehan for copy if desired.

FOR MORE INFORMATION

Thank you!

Mike Sheehan, Assistant Director

Northern Waters Library Service

[email protected]

715-682-2365 ext. 12