Interpreting Analytics Data-Informed Decision Making Ashley Martin - - PowerPoint PPT Presentation

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Interpreting Analytics Data-Informed Decision Making Ashley Martin - - PowerPoint PPT Presentation

Interpreting Analytics Data-Informed Decision Making Ashley Martin Executive Director, University Marketing and Creative Services Division of Communications and Marketing Kansas State University June 6, 2018 Our Agenda Google Analytics 101:


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Interpreting Analytics

Data-Informed Decision Making

Ashley Martin Executive Director, University Marketing and Creative Services Division of Communications and Marketing Kansas State University June 6, 2018

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Our Agenda

  • Google Analytics 101: Terms and Tools
  • Analytics CASE Studies

– Great Plains IDEA Website – K-State’s Academic Search

  • Analytics vs. Quantitative Usability

– Great Plains IDEA Website Usability Review – Case Study: K-State Home Page

  • Action Items to Take Home With You

– How to set yourself up for data-based decision making

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Google Analytics 101

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How to Get Set Up

  • Figure out who your analytics administrator is for

your website

– University marketing unit? – University IT unit? – College or departmental marketing or IT unit? – In-house staff?

  • Determine your goals and key performance

indicators (KPIs) to avoid analysis paralysis

– Define what traffic is most important to you (and why) – Define the insights that will most help you make decisions on your marketing efforts

  • Benchmark

– Figure out where you are now and where you want to go

  • Set measureable objectives to go with your goals
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Sample Goals

  • Drive traffic to academic program pages.

– Compare traffic to benchmark data and against your marketing efforts.

  • Where: Behavior à Site Content à <Specific page>

– Watch your audience demographics and geographic data to assess the effectiveness of your marketing efforts and ensure your targeting is still accurate.

  • Where: Audience à Demographics, Interests, Geo, Etc.
  • Drive inquiries.

– Measure completed inquiries.

  • Where: Behavior à Site Content à <Confirmation page>
  • Drive applications.

– Measure completed applications.

  • Where: Behavior à Site Content à <Confirmation page>
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CASE Study – Great Plains IDEA

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CASE Study – Great Plains IDEA

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CASE Study – Great Plains IDEA

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CASE Study – Great Plains IDEA

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CASE Study – K-State Academics

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CASE Study – K-State Academics

  • Top Keywords (All)

– Nursing – Business – Engineering – Vet – Computer – Education – Minor – Animal – Health

  • Top Keywords (Online)

– Nursing – Vet – Animal – Education – Nutrition – Pilot (no match) – Cat – Computer – Health

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Tracking Tactical Performance

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Tracking Tactical Performance

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Google Analytics 101 Review

  • Define your goals and KPIs first
  • Benchmark
  • Correlate your goals and KPIs to the appropriate

reports for tracking

  • Monitor to track effectiveness of:

– Marketing tactics and tools

  • Query strings and tracking tags
  • Tracking correlation of traffic spikes with tactical launches

– Audience targeting – Specific programs, as correlated with your in-house inquiry/app/yield data

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Analytics à Usability Testing

  • When you have analytics that seem to be telling a

story but you can’t quite figure out what it is, usability testing may be your go-to solution

– Ensures you don’t make assumptions – Ensures you truly understand the issue – Ensures you find the appropriate design or navigation solution

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Analytics versus Quantitative Usability Testing

  • Analytics

– Allows you to see what your users do “in the wild” – The “What”

  • Track visitors, see what they do, how long they stay, etc.
  • Quantitative usability testing

– An experimental process where you can control conditions – “The “Why”

  • Bring users in to complete common tasks
  • Listen and watch – how are they moving through your site? How do they

feel about those tasks once they’ve completed them? Did your system break down anywhere?

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Quantitative Usability Testing

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Case Study: K-State Home Page

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Analytics vs. Usability Testing

  • Which method is most appropriate for:

– Making changes to my website’s navigation? – Deciding whether or not to retire a web page? – Tracking effectiveness of an offline advertising channel? – Understanding how users seek content on my website? – Understanding the audiences who visit my website? – Understanding the path users take on my website? – Understanding the effectiveness of a website design

  • verall?

– Understanding online search behavior (perhaps even as related to search engine optimization)?

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Where Do We Go From Here

  • Figure out who your Google Analytics

administrator(s) are

  • Be able to articulate your goals to them so that

they understand how you wish to use Google Analytics (so they can set it up appropriately for you)

– If there is a piece of data you want but can’t access, just ask! It’s probably possible to build a custom report!

  • Set aside your own assumptions and opinions

– This is where analytics and usability can often go wrong. Be as objective as possible when reviewing your data.

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Inspiring Action

  • Summarize your findings and the reports you

pulled them from

  • Determine whether the changes needed are

modifications you can make OR modifications that require marketing/IT assistance

– Fine-tune your audience targeting – Fine-tune your marketing channels – Fine-tune the particulars of your website

  • If you need help, re-affirm your goals (both

general and website specific) with those who you need assistance from

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Thank you