Website Analytics

Presenters: Chris Froese

Session: 10:30 - 11:30

Room: Mesa

About Me

13 years as a professional developer

Developer at Marmot since November 2018

Previously lead web teams at Seaton Media, Inc.

Probably noticing you don’t see Analytics in my list of skills.

In my previous job I wore many hats and was responsible for driving online innovation ($$)

I saw an opportunity to increase online revenue by switching a few things around

To prove this and ultimately to be included in a better ad network it was necessary for me to learn and implement analytics.

So I know just enough to be dangerous. Just a little more than the folks who sit next to.

Session Overview

  • Why We Need Analytics
  • Google Analytics
    • Dimensions and Metrics
    • Standard Reports
    • Custom Dimensions
    • Measuring Events
  • Google Analytics Dashboards
    • Creating Dashboards
    • Sharing Dashboards
  • Google Data Studio
    • An introduction to Data Studio

Why We Need Analytics

Web metrics are used to determine patterns and trends

What and Why of Analytics?


“Analytics is the discovery, interpretation, and communication of meaningful patterns in data.”


Analytics helps us help out patrons and tell our libraries story

  • What times do they use the OPAC?
  • What are they looking for?
  • Do they prefer a book or audio CD?

Before we discuss why we need analytics, we need to define what analytics is in the world of the web


Discovery: We are looking for something. Do we know exactly what? Sometimes we do. Other times we are simply exploring the data looking for things that stick out.

Interpretation: Often times we need infer a meaning to give a trend or pattern meaning.

Communication: This is what it’s all about. What good is all information if we just keep it up in the ‘ol brain sack.


These might be some of the question you want to answer and I’m sure you have others. Hopefully I can help you answer these questions.

Google Analytics

And we’re off!

Web Dimensions and Metrics


Are attributes of users

  • City
  • Search Term
  • Device Type
  • Acquisition


Are measurements of attributes

  • Pageviews
  • Total Searches
  • Sessions
  • Bounce Rate

Not all dimensions have the same metrics

For example “Search Term” won’t have have “Pageviews”

Custom Dimensions & Events

Custom dimensions are Pika supplied user attributes.

  • Patron Type
  • Physical Location
  • Home Library

Events are Pika supplied user actions

  • Holds | Place Hold | Title/Format/Grouped Work ID
  • Browse Category | Click | Category/[Subcategory]/Title

Currently we have 3 custom dimension in place

Patron Type - This is the pType #

Physical Location - IP based letting you know if they are in the library

Home Library - This is your libraries branch code

Standard Reports

  • Realtime
    • Overview
  • Audience
    • Overview
  • Acquisition
    • Overview
  • Behaviour
    • Overview
    • Site Content
      • Overview
    • Behaviour flow
    • Site Search
      • Overview
      • Terms
    • Events
      • Overview

This isn’t a complete list, but I find these useful


Dashboard create an overview of reports important to you

Creating a Dashboard

Sharing a Dashboard

To build effective Dashboards think about what is most important to your library and its mission and goals.

Once you’ve created a meaningful dashboard share it with others in your organization.

Create a dashboard:

Google Datastudio

An introduction

Why Datastudio?

  • Brand reports
    • Apply themes
    • Change fonts & colors
    • Add images
  • Templates
    • Templates give you a “quick start”
  • Improved usability
    • Table pagination
    • Hover “tooltips”
    • Pages
  • Extract and aggregate data
    • Create new fields by manipulating data
    • Use conditional statements (if this, then that)
    • Use multiple data sources

The Ultimate Guide to Google Data Studio in 2019

Report Gallery

MUG 2019 Website Analytics - Google Slides