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Advanced Web Analytics Shelby Thayer Joshua Ellis Outreach Marketing and Communications
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Advanced Web Analytics - Penn State Web Conference 2010

Sep 03, 2014

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Shelby Thayer

The advanced web analytics presentation from the Penn State Web Conference on June 7, 2010.
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Page 1: Advanced Web Analytics - Penn State Web Conference 2010

Advanced Web Analytics

Shelby Thayer

Joshua Ellis

Outreach Marketing and Communications

Page 2: Advanced Web Analytics - Penn State Web Conference 2010

Before we even mention measuring a website, we need to truly understand

the purpose of the website.

Page 3: Advanced Web Analytics - Penn State Web Conference 2010

Increase:ProspectsApplicantsEnrollmentsDonationsAlumni memberships

Improve:Customer serviceUser engagement

Page 4: Advanced Web Analytics - Penn State Web Conference 2010

Key Performance Indicators

Measures to use to see if your website is meeting its objective(s).

Page 5: Advanced Web Analytics - Penn State Web Conference 2010

Increasing Applicants

• % visits that view “apply” page

• % visits that complete the goal (convert)

• % visits that view “apply” page but don’t complete the goal (fallout)

Page 6: Advanced Web Analytics - Penn State Web Conference 2010

Improve Customer Service

• % visits using chat

• % visits using knowledge base

• % visits subscribing to alerts

Page 7: Advanced Web Analytics - Penn State Web Conference 2010

Increase User Engagement

• Average time on site

• Average page depth

• % visits that comment on the blog

• % visits from RSS feeds

• % visits that download a PDF

Page 8: Advanced Web Analytics - Penn State Web Conference 2010

Competitive Intelligence(Alexa, Hitwise, Compete, etc.)

Voice of Customer(Feedback forms, surveys, usability testing, etc.)

Web site BehaviorOnsite Analytics

(Google Analytics, Omniture, Webtrends, etc.)

Page 9: Advanced Web Analytics - Penn State Web Conference 2010

Web site BehaviorOnsite Analytics

(Google Analytics, Omniture, Webtrends, etc.)

Page 10: Advanced Web Analytics - Penn State Web Conference 2010

Data Limitations

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Data Limitations

Accurate Precise

Accurate vs. Precise• Being precise is predictable and reproducible.• Trends are the key.

Source: Web Analytics 2.0, Avinash Kaushik (images from Wikimedia Commons)

Page 12: Advanced Web Analytics - Penn State Web Conference 2010

Trends vs. Hard Numbers

Always use trends – what’s changed?• Our visits increased by 5% over last month.

• Our bounce rate is down 4% over last week.

• 35% of visits are from search engines – this is up 7% from last month (great job PPC team!)

Page 13: Advanced Web Analytics - Penn State Web Conference 2010

Hard Numbers – Essential for Context

Trends are important, but hard numbers give context.

Page 14: Advanced Web Analytics - Penn State Web Conference 2010

Hard Numbers – Essential for Context

Trends are important, but hard numbers give context.

Page 15: Advanced Web Analytics - Penn State Web Conference 2010

Analytics and Marketing Efforts

Optimize marketing efforts across all marketing channels.• Email• Paid Keywords• Banner Ads• Print Collateral• Social Media

Page 16: Advanced Web Analytics - Penn State Web Conference 2010

Track Everything

Use Google’s URL Builder to track links from campaigns from any channel.

Even if you’re using a URL shortener – use a trackable URL as well.

Page 17: Advanced Web Analytics - Penn State Web Conference 2010

What’s the point when we can use URL shorteners?

URL shorteners only track to your site. They don’t track on your site.

You need to track beyond the click-through.

Page 18: Advanced Web Analytics - Penn State Web Conference 2010

Use Vanity URLs

www.mysite.psu.edu/vanity

Page 19: Advanced Web Analytics - Penn State Web Conference 2010

Beyond the Click-through

If you bring a million people to your website, does it matter if they don’t do anything on your website?

Page 20: Advanced Web Analytics - Penn State Web Conference 2010

But all my “actions” happen off-site.

If you can put code on the third-party site, you can use the Google Analytics Tracking Code (slightly modified) to capture information on the third-party site.

Page 21: Advanced Web Analytics - Penn State Web Conference 2010

No access to third-party site?

Measure to the point of going off-site to complete action.

• Use GaAddons.js• Use onClick or onSubmit event handler

If possible, put the “thank you” page on your website.

Page 22: Advanced Web Analytics - Penn State Web Conference 2010

Micro and Macro Conversions

Macro conversions – the big goal (apply, donate, enroll, download, comment, view details page)

Page 23: Advanced Web Analytics - Penn State Web Conference 2010

Micro and Macro Conversions

Micro conversions – smaller, but important actions (download, click link to application, view video, view the “donate” page)

Page 24: Advanced Web Analytics - Penn State Web Conference 2010

Credit Allocation

Which campaign gets credit for a conversion?

•Visit #1 – click on a paid keyword (doesn’t convert)•Visit #2 – click on a banner (convert!)

Use “utm_nooverride=1” within the trackable URL

Be consistent if you use this!

Page 25: Advanced Web Analytics - Penn State Web Conference 2010

Segmentation

Absolutely nothing is more important in analytics than segmentation. Why? Because monoliths don't come to our websites. Yet most of our reporting and analysis happens at the aggregate level.

Avinash Kaushik, Web Analytics 2.0

Page 26: Advanced Web Analytics - Penn State Web Conference 2010

Segmentation

NY Yankees team batting average = .273

• 1, 2, 3 batters average .354• 4, 5, 6 batters average .289• 7, 8, 9 batters average .139

Page 27: Advanced Web Analytics - Penn State Web Conference 2010

Segmentation

Page 28: Advanced Web Analytics - Penn State Web Conference 2010

Segmentation

Total website pages per visit = 4

Returning visitor pages per visit = 8• Coming from campaigns = 10• Organic = 6

Mobile device visitor pages per visit = 1

Page 29: Advanced Web Analytics - Penn State Web Conference 2010

Segmentation

Now that you have your segments, go back to your website goals and KPIs. Split them out by segment.

Goal: Increase online applicantsKPI: % visits that view apply page• new vs. returning• campaign vs. organic traffic• campaign A vs. campaign B

Page 30: Advanced Web Analytics - Penn State Web Conference 2010

SEO and Brand

Page 31: Advanced Web Analytics - Penn State Web Conference 2010

Measuring SEO

Webmaster Tools• Links to your site• SERP impressions vs. clicks• Duplicate title and meta descriptions• Crawl errors• Crawl stats

Analytics Tool• Traffic from search engines• Traffic organic vs. paid search • Branded vs. generic terms (compare performance)• Internal site search keywords

Page 32: Advanced Web Analytics - Penn State Web Conference 2010

SEO and Landing/Entry Pages

On page optimization is crucial to SEO

• Bounce rates• Conversion rates• Optimize the right pages for the right terms

• “keyword X” – all organic should be going to the same landing/entry page.

Page 33: Advanced Web Analytics - Penn State Web Conference 2010

Measuring Brand

• Direct traffic (typing in URL, bookmarking)• Traffic from branded keywords• Conversions from branded vs. generic

keywords

total direct traffic + total traffic from branded keywords

total visits from search engines + total direct traffic

Page 34: Advanced Web Analytics - Penn State Web Conference 2010

Monetize, Monetize, Monetize

• Page Value ($Index)

• How much does poor design cost?

Page 35: Advanced Web Analytics - Penn State Web Conference 2010

Page Value ($Index)

Give your goal a value. Then you can see what pages are contributing most to your goal.

Page 36: Advanced Web Analytics - Penn State Web Conference 2010

How much does poor design cost?

Page 37: Advanced Web Analytics - Penn State Web Conference 2010
Page 38: Advanced Web Analytics - Penn State Web Conference 2010

Resources

http://delicious.com/shelbythayer/psuweb10-wa

http://webstandards.psu.edu/analytics

Page 39: Advanced Web Analytics - Penn State Web Conference 2010

Thank You

Shelby Thayer (@shelbythayer)Joshua Ellis (@apostate)

Questions?