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#mwmetrics
Metrics, Metrics, Everywhere!
Choosing the Right Ones for
Your Website and Social Media
or
“I Got 20 Retweets! Wait - Is That Good?”
Museums and the Web 2015
04/08/15
#mwmetrics 2
Our Workshop Today
 Brian’s Stuff
 Puppet Invasion! – Erin Blasco
 Activity!
 Coffee Break (10:30-11:00am)
 Smithsonian Archives: Fast, Cheap & In
Control – Effie Kapsalis
 Creating a Social Media Metrics
Reporting Framework You Can Live with
& Setting up Analytics for Native Apps –
Sarah Banks
 Activity!
#mwmetrics 3
My Stuff Today
 The analytics process
 Choosing social media metrics
 Choosing website metrics
 Google Analytics update
#mwmetrics 4
Once upon a time…
 We just had websites…
 Website measurement
tools were getting better
and better…
 Some of the best ones
were even free!
 We thought we had it all
figured out…
 And then…
Source: Seattle Municipal Archives
#mwmetrics 5
Social media disrupted everything
 Today's landscape is a splintered
collection of
 New channels
 Sublimely-named yet inscrutable metrics
 A dizzying array of tools both free and paid
 Breathing new life into old questions
 "Why is this important?
 “How do we know it’s working?“
 "What do I measure?“
 "What does that have to do with our program?“
 The good news is…
Source: http://rosemia.wordpress.com/2012/02/
#mwmetrics
There is a systematic, step-by-step process
 Articulate your program’s goals.
 Decide strategies to achieve
those goals.
 Decide tactics to pursue the
strategies.
 Decide what and how to measure.
 Benchmark to get a sense of
what’s normal.
6
Source: http://www.homedit.com
#mwmetrics 7
Your goal: storyteller
 Use data to tell a story.
 Management loves stories:
 What was happening.
 What it meant.
 What you did.
 What’s happening now.
Source: http://www.squidoo.com
#mwmetrics
Articulate specific goals
 Not too many!
 Express what you’re trying to
accomplish.
 Make high-level goals more
specific:
 “Increase influence” is too broad.
 “Become the definitive source on
Smithsonian history” is more specific.
 Specificity makes it easier to identify
strategies and tactics.
8
Reuters: Toru Hanai
Start the conversation! Articulate
goals & next steps on your own;
work with management to finalize.
#mwmetrics 9
Determine strategies & tactics
 Strategies – the plans you make to achieve the goals.
 Employing social media is a strategy.
 Tactics – the things you do to advance the strategy.
 Producing a specific type of content is a tactic.
 Individual channels (facebook, twitter) are tactics.
 Per the example:
 Goal: “Become the definitive source on Smithsonian history.”
 Strategy: Increase engagement with history of the Smithsonian
content.
 Tactic: Make SI-history content more findable and measureable.
#mwmetrics 10
Decide how to measure your tactics
 Choose measurements to learn
if your tactics are succeeding.
 Choose a few measurements.
 Trend them over time.
 Per the example:
 Strategy: increase engagement with
SI history website content.
 Tactic: make website history
content more findable /
measureable.
 History-content segment
 Measure that segment’s
engagement metrics:
 Visit frequency
 Visit depth
 Bounce rate
History-
related visits
All
visits
“Deep history visits” were 94% higher!
#mwmetrics 11
"I got 20 retweets! Wait – is that good?"
 You can’t set targets w/o benchmarks
 You need at least six months of data.
 Data is seasonal.
 Depends on how much traffic your site gets.
 Pull data regularly, or you may be out of luck.
 Twitter and Flickr API’s limits 3rd party tools to 28
days of data.
 Balance targets with factors beyond your control:
 Are the improvements you’re seeking known to be difficult?
 How much resources will you have to implement tactics?
 Google Analytics Benchmarking Reports!
 ‘Museum & Libraries’ category under ‘Reference’
Source: news.com.au
#mwmetrics 12
Choosing social media metrics
Source: CBS News
#mwmetrics 13
“Quantity of Stuff” metrics
 No actionable data
 Establish scope / context
 Measure growth / acquisition
 Number of Followers
 FB
 TW
 Instagram
 Pinterest
 Number of ‘Likes’
 FB Pages
 FB Content
 Instagram
 Pinterest
 FB post views
Source:http://janicesyearinsunderland.blogspot.com
#mwmetrics 14
“Quantity-Plus” metrics
 Still about quantity, but more meaningful.
 Show the type of content your audience
responds to.
 Basic
 Reach (FB)
 Post-Clicks (FB)
 Website visits referred by social
properties
 Better - “mini-conversions”
 Retweets (TW)
 Favorites (TW)
 Comments (FB)
 Shares (FB)
Source:http://socialmediatoday.com
#mwmetrics
A classic blog post…
 Avinash Kaushik’s Best Social Media Metrics
 Conversation Rate
 # of Audience Comments (or Replies) Per Post
 Amplification Rate
 # of Retweets Per Tweet
 # of Shares Per Post
 # of “Share Clicks” Per Post (or Video)
 Applause Rate
 # of Favorite Clicks Per Post (TW)
 # of Likes Per Post (FB)
 # of #1s Per Post (Goog+)
 # of +1s and Likes Per Post (or video) (Blog / YouTube)
 Economic Value
 For revenue-driven businesses
 Sum of Short and Long Term Revenue and Cost Savings
 Goal is to identify macro and micro conversions and then compute economic
value.
 A manual spreadsheet is available, here, or…
Source: Occam's Razor
Avinash Kaushik
#mwmetrics 16
Trendable social metrics – YAY!
 TrueSocialMetrics offers an automated solution.
 http://www.truesocialmetrics.com/
 Free / $30 per month / $100 per month / $350/month plans
#mwmetrics 17
Here is the bottom line!
 Your measurements validate
your tactics (or not).
 On a campaign by campaign
basis, you can use “quantity-
plus” metrics to tell your story.
 “Here was the goal. We did
this. That happened. It was
the best EVER!
 But to improve your overall
program, you need more
refined, trendable metrics.
Source: NY Daily News
#mwmetrics 18
Choosing website metrics
Source: LifewithDogs.tv
#mwmetrics 19
The inevitability of “Quantity of Stuff”
 No actionable data
 Visits (Sessions)
 Visitors (Users)
 Pageviews
 Establish scope / context.
 Measure growth / acquisition.
 You can’t improve your site by
measuring these.
 Reporting them out of context can be
misleading.
Source: Occam's Razor
“All data in
aggregate is crap.”
#mwmetrics 20
Engagement metrics are more meaningful
 “Quantity-Plus” for websites.
 Use as proxies for visitor
engagement.
 Under Audience >> Behavior
 Frequency
 Recency
 Depth (“Engagement”)
 New vs. Returning users
 Use with advanced segments.
#mwmetrics 21
Segmentation: GA’s most powerful feature?
 Analyze subsets of traffic.
 Search engine visits
 Social media visits
 Demographics
 Import ready-made
segments and custom
reports from the
“Gallery”!
 Google Blog
 Kissmetrics Overview
 Examples (Cutroni)
Segments are accessed
from this pull-down arrow.
#mwmetrics
All Visits data tells a nice story...
22
Minimal loyalty
group (purple)
downward trend
indicates
improving content
engagement
High loyalty
group (blue)
upward trend
indicates same
Impact of this Data on the Site or Program
• This good-looking chart may indicate high content engagement and/or perceived value
• This data may correlate to increasing conversion behaviors
Acting on this Data
• Identify moderate and high loyalty pages as a means of duplicating, or improving others
• Examining conversion behaviors of these segments may yield add'l insights
• Correlating high bounce rate pages to one-time visits may yield add'l insights
• Test different content types in an attempt to move 'minimal' visitors into 'moderate' group
Key Trends
and Insights
#mwmetrics 23
This Impact of this Data on the Site or Program
• Organic search listings are driving poorly-targeted traffic
• Will result in decreased organic search performance over time
Acting on this Data
• Refocus title tags, meta-description tags and page content for important pages
• Perform link analysis to see where other SEO improvements can be made
Minimal
frequency group
upward trend
indicates organic
listings are not
appropriately
targeted
Moderate
frequency group
downward trend
indicates same
High frequency
group trending
slightly downward,
in contrast to
previous chart’s
upward slope
Key Trends
and Insights
…But applying segmentation tells a different story
#mwmetrics 24
Deeper understanding with Conversion Goals
 A conversion is any measureable behavior
with an implicitly (or explicitly) higher value.
 You learn more by studying conversion rates.
 Some are super-easy to program:
 Destination (ex: thanks.html)
 Duration (ex: 5 minutes or more)
 Pages/Screens per session (ex: 3 pages)
 Event (ex: downloaded a PDF, played a video)
(REQUIRES CODE)
 Even if you’re not selling stuff, you can – and
should – add a “value” to a completed goal.
#mwmetrics 25
‘Event Tracking’ is super-important
 More sophisticated Goals typically involve Events.
 A little extra javascript gives you data on:
 External links
 Sign-ups, form submissions
 Downloads
 Many types of conversion goals
 To use Events:
 Define and categorize your events.
 Configure and add the code, usually right in the link (not always).
 Many social-share widgets automatically add Events.
 Events are critical for Mobile App Google Analytics!
 The Complete Google Analytics Event Tracking Guide Plus 10 Amazing
Examples
#mwmetrics 26
Benchmarking Reports!
 Compare your site to others in the same
category (or across categories).
 Compare by:
 Channels
 Location
 Devices
 How to find it:
 Audience  Benchmarking
 Click ‘Business and Industrial’ (top left) for pull-down
 Scroll down to ‘Reference’  ‘Libraries & Museums’
 Benchmarking Reports
#mwmetrics 27
Here is the (website) bottom line!
 Your measurements validate your
tactics (or not).
 If your goal is purely audience
acquisition, you can use “quantity-
of-stuff” metrics to tell your story.
 To work the process and improve
your site, you need more
meaningful data:
 Engagement Metrics
 Segments
 Goal Completion / Conversion rates
 Flow (landing pages / exit pages)
 A-B tests
 Qualitative data (surveys)
Source: NY Daily News
#mwmetrics 28
Google “Universal Analytics” Update
#mwmetrics 29
Universal Analytics means all new code
 We are in Phase three of a multi-year
rollout – “all Universal features supported.”
 In Phase two, all GA accounts were
migrated to Universal. (Surprise!)
 In Phase four, legacy GA code will be
deprecated (date TBD).
 “Data collected from the deprecated
features will be processed for a minimum of
2 years.”
 You should upgrade your code SOON, if
you haven’t already done so.
 You'll also need to upgrade custom code,
e.g., events, virtual pageviews, etc.
 Universal Analytics Upgrade Center Source: Vampyre Fangs
#mwmetrics 30
Universal Analytics means user-centric data
 GA can now display data in terms of users or
sessions.
 “User ID Feature” enables tracking individual users
across devices.
 Other network-connected devices can send data
to GA:
 Kiosks
 Game consoles
 Point-of-sale systems
 It’s all based on custom coding…
 But it can be done - now!
 About the User ID feature
 Custom Dimensions and Metrics
Tracking even
anonymous users has
significant privacy
implications, esp. if your
site caters to children.
#mwmetrics 31
Google’s “Analytics Academy”
 Free video-based courses
 Digital Analytics
Fundamentals
 Google Analytics Platform
Principles
 Ecommerce Analytics: From
Data to Decisions
 Mobile App Analytics
Fundamentals
analyticsacademy.withgoogle.com
#mwmetrics 32
Resources
 Google Analytics Blog
 http://analytics.blogspot.com/
 Universal Analytics Upgrade Guide
 https://developers.google.com/analytics/devguides/collection/upgrade/
 Google ‘User ID’ Guide
 https://support.google.com/analytics/answer/3123662/
 Avinash Kaushik’s “Occam’s Razor”
 http://kaushik.net/avinash
 Analytics Talk (Justin Cutroni)
 http://cutroni.com/blog/
 Supermetrics Data Grabber
 http://supermetrics.com/
 Automate Analytics Google Group
 http://groups.google.com/group/automateanalytics/topics
 Lunametrics blog
 http://www.lunametrics.com/blog
 Kissmetrics
 http://blog.kissmetrics.com/
Case Study: Puppet Invasion
@erinblasco
#mwmetrics
Muppets copyright Disney. Fraggles copyright The
Jim Henson Company. Sesame Street characters
copyright Sesame Workshop.
Case Study: Puppet Invasion
• Opportunities: Muppets! Educational and
promotional goals should fit together nicely.
• Challenges: Not on display. Embargoed.
Needed a fresh angle.
Before writing goals: Who will I need
to report to about this?
• Must tell a complete story with a mix of
metrics, benchmarks, photos, and anecdotes.
• Various audiences: Data fiends, visual
learners. New Media, Education, Public
Affairs, Curatorial, and the Director.
Identify goals
• Highlight the diversity of
puppets (not just Miss Piggy)
• Promote the new donation
but manage expectations:
they won’t be on display
• Increase knowledge of and
interest in puppet
conservation, a fresh angle
Do one thing (strategy) to make each
goal happen
• Highlight diversity of
puppets (sorry, Piggy)
• Promote donation
while managing
expectations
• Increase knowledge
about puppet
conservation
• Tell stories of non-Piggy
puppets
• Show cool visuals of
puppets but explain
they aren’t on display
• Tell stories from
conservation lab,
highlight staff expertise
Select tactics that fit goals & strategies
• Stories of non-Piggy
puppets
• Pics of puppets but
captions explain they
aren’t on display
• Stories from
conservation lab,
highlight voices from
behind-the-scenes
• Guessing game with
Fraggle fuzz
• Flickr set with juicy
captions, blog post,
series of tweets
• Blog post highlighting
conservation process
with lots of quotes
Before implementing tactics: which
metrics will you gather and report?
• Tell stories beyond Miss
Piggy
• Guessing game with
Fraggle Rock puppet
• Participation level in
guessing game
• Metrics:
– Clicks to view photo
– Number of guesses on
Twitter, FB, Instagram
– Tone of responses (word
cloud?)
Before implementing tactics: which
metrics will you report?
• Increase puppet
conservation knowledge &
interest
• Tell stories from
conservation lab, highlight
staff expertise
• Blog post highlighting
conservation process with
lots of quotes
• Metrics
• Word cloud of hashtagged
tweets reveals high use of
conservationy keywords
• Anecdotal evidence from
tweets, quotes, comments
on blog post
• Impressions and
engagements on
conservationy posts higher
than benchmark posts
• Survey for followers
• Learning = linger time?
Before campaign starts: Implement
metrics gathering system
• Save and gather what’s
being said
• Storify best tweets
• IFTT recipes
• Make a Bitly bundle of
customized links for
easy stats
• Do friends have access
to enterprise metrics
systems?
Metrics gathering system: Tweet
Archivist
• Start TweetArchivist archive for hashtag
• Mentions by influencers
• Impressions
• “Top users”
• Volume over time
• Hootsuite also archives
Metrics gathering system
• Fine-tuned listening and
gathering:
• Hootsuite or TweetDeck search
columns
– With keywords and location filter
– Include “?” to track questions
– Search for people tweeting links
to your content
• Search on Twitter: are you in
“top” or “all” categories?
• Capture free Tweet Reach report
at intervals
Metrics gathering system
• Plan where participants
can put their photos
(Flickr Group); these are
gold in reports later!
• Compare hashtag volume
on Topsy trends
• Topsy’s most-shared
images
• Pre-write survey
questions and schedule a
tweet linking to it
Benchmarks gathering system
• Develop a benchmark:
what feels like “average”
activity the week before
the big campaign?
• Swap stats with a
colleague at a similar
institution to put your
campaign in context.
• Dig out your own stats
from past campaigns.
Export past tweets.
OMG ELEVATOR AMBUSH! Boss’s boss: How was that
puppet campaign you worked on?
• Our Fraggles game got 100 guesses—
twice our usual number of comments!
Some even shared Fraggly memories
with us.
• Content highlighting our conservators
was really popular—the pageview
record was broken in just a few hours.
• And one person actually tweeted that
she wanted to quit her job and become
a conservator!
Select a balanced blend of metrics for the report
What was the best part of the tweetup? “Bringing
‘behind the scenes’ look at museum exhibition to
people outside DC/around the world. I learned about
an exhibit I didn't know about, and now I want to go
see it in person.” – survey response by a tweeter who
followed online
1) Survey quote: testimonial
2) Word cloud of tweets shows themes of
conversation: relevant & on-topic
3) Storify of best tweets: endorsement
4) High traffic to blog post vs. last
month: exciting campaign content
Take home message: The project was popular, with almost 8,000 views, which is
higher than our usual average. Conversation was a major focus and key themes rose
to the surface. Participants raved about it, both publicly and in a survey.
Select a balanced blend of metrics for the report
On an average day in January, @amhistorymuseum is
mentioned in about 45 tweets. During #docsocial, we were
mentioned over 160 times.
This is a chart of the top people that tweeted with
the hashtag. NMAH talked a lot (56 tweets) but so
did many others. Most participants sent more than
10 tweets.
1) List of influencers: VIPs
2) A variety of voices participated
3) More mentions than usual:
conversation!
Take home message: The program enticed
many people to participate, including fancy
influencers. We reached more people than
usual and were a hot topic of conversation.
Usable metrics to make next time better
• Survey participants to identify what to do
differently next time.
• Keep some of the same questions in every
survey to compare across campaigns.
• Ask tweetup participants to tweet to their
own followers, too. Valuable feedback!
Usable metrics to make next time better
• Today’s campaign always
looks better than last year’s
because your base of social
media followers has grown.
• Pick one metric that still
compares despite growth,
such as the pace of growth
in pageviews.
• Did audiences clamor for
this content? How viral did
it feel?
Usable metrics to make next time better
• Collect and analyze fewer
metrics.
• Which report components
spoke to your stakeholders
most?
• Which were most
meaningful to you?
• Keep those. Jettison the
rest.
Questions?
Activity #1
Help us fix our jumbled up report. Sort the
jumbled pieces of the report into categories
(goals, metrics, etc.) and arrange them
logically.
If you have time, critique the metrics. Do you
think they are meaningful? If not, write a new
one you think would be better.
AMBUSH!
You’re on the elevator and the museum director jumps
on. He’s read your report and has a few questions. No
escape! How might you answer him?
a) Which of these metrics is most and least meaningful?
b) I saw 3 negative comments on Facebook. Are you sure
the campaign was successful?
c) What questions do you still have about the campaign?
d) So did we “go viral” yet?
Effie Kapsalis
Head of Web & New
Media
Smithsonian Archives
@digitaleffie
#MWmetrics
Flickr user Rachel Ford James
Target Audiences
 Researchers (interns, fellows, academic
researchers)
 Serious online researchers (Wikipedians, Collections
mystery solvers on Flickr Commons etc)
 General public enthusiasts (Lifelong Learners, DIYer
looking for information and help)
 Smithsonian record creators
Broad Organizational
Mission
“The Archives’ mission is to document the goals and
activities of the whole Smithsonian in its pursuit of
increasing and diffusing knowledge, and exciting
learning in everyone. The Archives is also responsible
for ensuring institutional accountability, and for
enhancing access to the rich and diverse resources in
its care. ”
Step 1: Identify Goals
Credit: Avinash Kaushik, “Digital Marketing and Measurement Model,” http://www.kaushik.net/avinash/digital-marketing-and-
measurement-model/
Step 2: Identify
Strategies/Tactics
Credit: Avinash Kaushik, “Digital Marketing and Measurement Model,” http://www.kaushik.net/avinash/digital-marketing-and-
measurement-model/
Step 3: Identify Key
Performance Indicators (KPI)
Credit: Avinash Kaushik, “Digital Marketing and Measurement Model,” http://www.kaushik.net/avinash/digital-marketing-and-
measurement-model/
Strategy: Tell Stories Highlighting Smithsonian
as Research & Education Catalyst
Blog KPI – Low Frequency Visits are trending down + High Frequency Visits are trending up!
Strategy: Increase Representation of Archives’
Collections on Popular Research Websites
Wikipedia Page Views:
BaGLAMa
GLAM/Wikipedia Tools - https://outreach.wikimedia.org/wiki/GLAM/Resources/Tools
Wikipedia Page Views:
BaGLAMa
Wikipedia Edit-a-thon
Outcomes
Wikipedia Edit-a-thon
Outcomes
http://stats.grok.se/
Strategy: Increase Share & Quality of
Conversation around SIA Collections &
Resources
Strategy: Increase Share & Quality of
Conversation around SIA Collections &
Resources
Strategy: Increase Share & Quality of
Conversation around SIA Collections &
Resources
Improve Collections Findability
Improve Collections Findability
Improve Collections Findability
Improve Collections Findability
Foresee Open Ended: Did not find looking
for
• Collections (30)
• Of 30 responses, only 4 were searching for
items we DO have.
• “list of architectural styles of the Smithsonian buildings”
• “Mary Henry's complete diary”
• “Electronic version of the Smithsonian Annual Report 1895.”
• “http:// siarchives.si.edu/history/exhibits/historicpicturessmithsonian but got
AFRICAN MUSEUM”
• Photos/Digitized Collections (3)
• In general, people were looking for more.
Foresee Open Ended: What ways can we
improve search?
 Want “Google” results
 Many of the titles are unclear about what they
contain
 I wish audio were available
 Need greater clarity on what can be accessed
electronically.
 Access to records, pictures
 Who to contact for help, live chat
Improve Collections Findability
Improve Collections Findability
Improve Collections Findability
Website Satisfaction Survey On the
Cheap
Keep Learning
 Know your bone (Colleen Dilenschneider) -
http://colleendilen.com/
 Beth Kanter – How Connected Non-Profits Leverage
Networks & Data for Social Change-
http://www.bethkanter.org/
 Avinash Kaushik - http://www.kaushik.net/avinash/
@digitaleffie
Creating a Social Media Metrics
Reporting Framework & Setting up
Analytics for Native Apps
Sarah Banks
Manager of Online Engagement
Goals for Air and Space’s
Metrics Reporting
1) Ties social media
reporting to museum
and institutional goals
2) Enables the gathering
of meaningful,
actionable data
3) Lets us know whether
or not we are meeting
our goals
4) Remains manageable,
and flexible as the
available metrics and
tools change
Creating the Framework: Step 1
Align Goals and Priorities, Select Metrics: Start
with strategic priorities for your institution.
Work down from there to your goals for social
media and select metrics.
Institutional Strategic Plan
Museum Goals
Social Media Goals
Quantitative & Qualitative Data
Example: Mapping Goals to
Data & Stories
1. Smithsonian Strategic Priority – Revitalizing education
2. Air and Space Museum Goal – Enhancing outreach efforts
3. Social Media Goal – Increase engagement with online
communities
1. Quantitative & Qualitative Data – Average numbers of
likes, comments, and shares per post; average number of
comments per day on Twitter; examples of comments
showing engagement and learning; most engaging
content on each platform
Creating the Framework: Step 2
Decide on Frequency of
Data Collection: How
often do you want to
collect and analyze data?
How do those reports
relate to each other?
Example: Reporting Frequencies
Frequency Purpose Distribution
Monthly Capture highlights, stories, and data
to create a snapshot of the month.
Web & New Media Dept,
Intranet
Quarterly Summarize highlights and stories,
and add analysis about what’s
working and what could be
improved.
Web & New Media Dept,
Web Advisory Group,
Intranet
Yearly Encapsulate the year’s activities,
successes, and areas for
improvement. Make
recommendations for changes to
goals, strategies, and tactics for the
next year.
Web & New Media Dept,
Web Advisory Group,
Intranet
Special
Projects/Events/
Campaigns
Provide a more in-depth look at a
story covered at a high-level in a
monthly report.
Participants, Web & New
Media Dept, Web Advisory
Group, Intranet
Creating the Framework: Step 3
Create Templates: Set up
your mapped priorities,
goals, and metrics and
think about how to fit in
the stories.
Example: Monthly Report
• Case Studies and Highlights -> stories that
capture the month’s activities and examples
that illustrate impacts
• Broadening Access -> growth in followers and
number of people reached by our content
• Revitalizing Education -> engagement metrics
Creating the Framework: Step 4
Test and Refine: Expect
bumps in the road as you
try to collect and analyze
data. Adjust as needed!
Lessons Learned from Initial
Implementation
Trouble Spots Successes
Had created something time-consuming
and therefore difficult to sustain.
Tying goals to metrics was useful for
positioning social media with institutional
priorities.
Found discrepancies between data
collected by 3rd-part tools and data seen
on posts.
Templates are flexible enough for our
needs as those change.
Discovered that a different setup of tools
was needed to make data collection
easier.
Refining & Adjusting
• Revised approach – start small and build
• Conducted further research on tools –
combination of Twitter analytics, Facebook
Insights, and TrueSocialMetrics
• Simplified data collection – focused on
essentials that are easy to track over time
Next Steps
• Keep experimenting
with how to convey
qualitative data.
• Continue looking at
how best to measure
whether goals are being
met.
Setting up Analytics for Native Apps
What’s Possible?
• As with websites, Google Analytics is a powerful
tool to help you know if you’re meeting your
goals.
• You have to ask your developer to add it in. Can’t
be added later without an update to the app.
• Basic GA only give you so much. Event-based
analytics allow for more nuanced data about
usage.
How to Start?
1. Write down your goals for the app and think about the
concerns/questions that are arising during development.
2. Use the app to see where users take action – make a decision, click
something, etc.
3. Label each point of action, as well as things with duration. Those
are your event-based metrics.
4. Think ahead and label each event with “appname_label” in a way
that will make sense to someone who doesn’t know your system.
5. Put all labels in a spreadsheet and give to the developer.
Pilot Pals - Educational Goals
Pilot Pals - Lots of Choices to Make!
• Enter name or not
• Mute or unmute sound
• Access parents section and
its tabs
• Select 1 of 4 games
• Select aircraft within games
• Try again
• Play again or return to main
menu
• Reset personalization
• Parents accessing different
parts of the parents section
Using Data to Address Concerns:
“Kids won’t pick the autogiro.”
Thanks! Any Questions?
My Contact Info:
Sarah Banks
bankss@si.edu
@sbanks20
#mwmetrics
 Discuss today’s workshop “takeaways”: What are your Chicago-style
#mwmetrics ingredients?
103
Food for thought (to go)!
Crust: 1 way in which
you will try to implement
this metrics model
Chunky tomato sauce:
1 tool you’ll give a try
Toppings: 1 way you’ll
improve & jazz up reports
Cheese: 1 new way you’ll
communicate metrics to
colleagues or partners
Chicago style pizza photo by
HarlanH on Flickr. CC BY-NC 2.0.
#mwmetrics
Thanks!
104
 @SBanks20
 @erinblasco
 @digitaleffie
 @balpert

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Metrics, Metrics, Everywhere - Choosing the Right Ones for Your Website and Social Media - REVISED for MW2015

  • 1. #mwmetrics Metrics, Metrics, Everywhere! Choosing the Right Ones for Your Website and Social Media or “I Got 20 Retweets! Wait - Is That Good?” Museums and the Web 2015 04/08/15
  • 2. #mwmetrics 2 Our Workshop Today  Brian’s Stuff  Puppet Invasion! – Erin Blasco  Activity!  Coffee Break (10:30-11:00am)  Smithsonian Archives: Fast, Cheap & In Control – Effie Kapsalis  Creating a Social Media Metrics Reporting Framework You Can Live with & Setting up Analytics for Native Apps – Sarah Banks  Activity!
  • 3. #mwmetrics 3 My Stuff Today  The analytics process  Choosing social media metrics  Choosing website metrics  Google Analytics update
  • 4. #mwmetrics 4 Once upon a time…  We just had websites…  Website measurement tools were getting better and better…  Some of the best ones were even free!  We thought we had it all figured out…  And then… Source: Seattle Municipal Archives
  • 5. #mwmetrics 5 Social media disrupted everything  Today's landscape is a splintered collection of  New channels  Sublimely-named yet inscrutable metrics  A dizzying array of tools both free and paid  Breathing new life into old questions  "Why is this important?  “How do we know it’s working?“  "What do I measure?“  "What does that have to do with our program?“  The good news is… Source: http://rosemia.wordpress.com/2012/02/
  • 6. #mwmetrics There is a systematic, step-by-step process  Articulate your program’s goals.  Decide strategies to achieve those goals.  Decide tactics to pursue the strategies.  Decide what and how to measure.  Benchmark to get a sense of what’s normal. 6 Source: http://www.homedit.com
  • 7. #mwmetrics 7 Your goal: storyteller  Use data to tell a story.  Management loves stories:  What was happening.  What it meant.  What you did.  What’s happening now. Source: http://www.squidoo.com
  • 8. #mwmetrics Articulate specific goals  Not too many!  Express what you’re trying to accomplish.  Make high-level goals more specific:  “Increase influence” is too broad.  “Become the definitive source on Smithsonian history” is more specific.  Specificity makes it easier to identify strategies and tactics. 8 Reuters: Toru Hanai Start the conversation! Articulate goals & next steps on your own; work with management to finalize.
  • 9. #mwmetrics 9 Determine strategies & tactics  Strategies – the plans you make to achieve the goals.  Employing social media is a strategy.  Tactics – the things you do to advance the strategy.  Producing a specific type of content is a tactic.  Individual channels (facebook, twitter) are tactics.  Per the example:  Goal: “Become the definitive source on Smithsonian history.”  Strategy: Increase engagement with history of the Smithsonian content.  Tactic: Make SI-history content more findable and measureable.
  • 10. #mwmetrics 10 Decide how to measure your tactics  Choose measurements to learn if your tactics are succeeding.  Choose a few measurements.  Trend them over time.  Per the example:  Strategy: increase engagement with SI history website content.  Tactic: make website history content more findable / measureable.  History-content segment  Measure that segment’s engagement metrics:  Visit frequency  Visit depth  Bounce rate History- related visits All visits “Deep history visits” were 94% higher!
  • 11. #mwmetrics 11 "I got 20 retweets! Wait – is that good?"  You can’t set targets w/o benchmarks  You need at least six months of data.  Data is seasonal.  Depends on how much traffic your site gets.  Pull data regularly, or you may be out of luck.  Twitter and Flickr API’s limits 3rd party tools to 28 days of data.  Balance targets with factors beyond your control:  Are the improvements you’re seeking known to be difficult?  How much resources will you have to implement tactics?  Google Analytics Benchmarking Reports!  ‘Museum & Libraries’ category under ‘Reference’ Source: news.com.au
  • 12. #mwmetrics 12 Choosing social media metrics Source: CBS News
  • 13. #mwmetrics 13 “Quantity of Stuff” metrics  No actionable data  Establish scope / context  Measure growth / acquisition  Number of Followers  FB  TW  Instagram  Pinterest  Number of ‘Likes’  FB Pages  FB Content  Instagram  Pinterest  FB post views Source:http://janicesyearinsunderland.blogspot.com
  • 14. #mwmetrics 14 “Quantity-Plus” metrics  Still about quantity, but more meaningful.  Show the type of content your audience responds to.  Basic  Reach (FB)  Post-Clicks (FB)  Website visits referred by social properties  Better - “mini-conversions”  Retweets (TW)  Favorites (TW)  Comments (FB)  Shares (FB) Source:http://socialmediatoday.com
  • 15. #mwmetrics A classic blog post…  Avinash Kaushik’s Best Social Media Metrics  Conversation Rate  # of Audience Comments (or Replies) Per Post  Amplification Rate  # of Retweets Per Tweet  # of Shares Per Post  # of “Share Clicks” Per Post (or Video)  Applause Rate  # of Favorite Clicks Per Post (TW)  # of Likes Per Post (FB)  # of #1s Per Post (Goog+)  # of +1s and Likes Per Post (or video) (Blog / YouTube)  Economic Value  For revenue-driven businesses  Sum of Short and Long Term Revenue and Cost Savings  Goal is to identify macro and micro conversions and then compute economic value.  A manual spreadsheet is available, here, or… Source: Occam's Razor Avinash Kaushik
  • 16. #mwmetrics 16 Trendable social metrics – YAY!  TrueSocialMetrics offers an automated solution.  http://www.truesocialmetrics.com/  Free / $30 per month / $100 per month / $350/month plans
  • 17. #mwmetrics 17 Here is the bottom line!  Your measurements validate your tactics (or not).  On a campaign by campaign basis, you can use “quantity- plus” metrics to tell your story.  “Here was the goal. We did this. That happened. It was the best EVER!  But to improve your overall program, you need more refined, trendable metrics. Source: NY Daily News
  • 18. #mwmetrics 18 Choosing website metrics Source: LifewithDogs.tv
  • 19. #mwmetrics 19 The inevitability of “Quantity of Stuff”  No actionable data  Visits (Sessions)  Visitors (Users)  Pageviews  Establish scope / context.  Measure growth / acquisition.  You can’t improve your site by measuring these.  Reporting them out of context can be misleading. Source: Occam's Razor “All data in aggregate is crap.”
  • 20. #mwmetrics 20 Engagement metrics are more meaningful  “Quantity-Plus” for websites.  Use as proxies for visitor engagement.  Under Audience >> Behavior  Frequency  Recency  Depth (“Engagement”)  New vs. Returning users  Use with advanced segments.
  • 21. #mwmetrics 21 Segmentation: GA’s most powerful feature?  Analyze subsets of traffic.  Search engine visits  Social media visits  Demographics  Import ready-made segments and custom reports from the “Gallery”!  Google Blog  Kissmetrics Overview  Examples (Cutroni) Segments are accessed from this pull-down arrow.
  • 22. #mwmetrics All Visits data tells a nice story... 22 Minimal loyalty group (purple) downward trend indicates improving content engagement High loyalty group (blue) upward trend indicates same Impact of this Data on the Site or Program • This good-looking chart may indicate high content engagement and/or perceived value • This data may correlate to increasing conversion behaviors Acting on this Data • Identify moderate and high loyalty pages as a means of duplicating, or improving others • Examining conversion behaviors of these segments may yield add'l insights • Correlating high bounce rate pages to one-time visits may yield add'l insights • Test different content types in an attempt to move 'minimal' visitors into 'moderate' group Key Trends and Insights
  • 23. #mwmetrics 23 This Impact of this Data on the Site or Program • Organic search listings are driving poorly-targeted traffic • Will result in decreased organic search performance over time Acting on this Data • Refocus title tags, meta-description tags and page content for important pages • Perform link analysis to see where other SEO improvements can be made Minimal frequency group upward trend indicates organic listings are not appropriately targeted Moderate frequency group downward trend indicates same High frequency group trending slightly downward, in contrast to previous chart’s upward slope Key Trends and Insights …But applying segmentation tells a different story
  • 24. #mwmetrics 24 Deeper understanding with Conversion Goals  A conversion is any measureable behavior with an implicitly (or explicitly) higher value.  You learn more by studying conversion rates.  Some are super-easy to program:  Destination (ex: thanks.html)  Duration (ex: 5 minutes or more)  Pages/Screens per session (ex: 3 pages)  Event (ex: downloaded a PDF, played a video) (REQUIRES CODE)  Even if you’re not selling stuff, you can – and should – add a “value” to a completed goal.
  • 25. #mwmetrics 25 ‘Event Tracking’ is super-important  More sophisticated Goals typically involve Events.  A little extra javascript gives you data on:  External links  Sign-ups, form submissions  Downloads  Many types of conversion goals  To use Events:  Define and categorize your events.  Configure and add the code, usually right in the link (not always).  Many social-share widgets automatically add Events.  Events are critical for Mobile App Google Analytics!  The Complete Google Analytics Event Tracking Guide Plus 10 Amazing Examples
  • 26. #mwmetrics 26 Benchmarking Reports!  Compare your site to others in the same category (or across categories).  Compare by:  Channels  Location  Devices  How to find it:  Audience  Benchmarking  Click ‘Business and Industrial’ (top left) for pull-down  Scroll down to ‘Reference’  ‘Libraries & Museums’  Benchmarking Reports
  • 27. #mwmetrics 27 Here is the (website) bottom line!  Your measurements validate your tactics (or not).  If your goal is purely audience acquisition, you can use “quantity- of-stuff” metrics to tell your story.  To work the process and improve your site, you need more meaningful data:  Engagement Metrics  Segments  Goal Completion / Conversion rates  Flow (landing pages / exit pages)  A-B tests  Qualitative data (surveys) Source: NY Daily News
  • 28. #mwmetrics 28 Google “Universal Analytics” Update
  • 29. #mwmetrics 29 Universal Analytics means all new code  We are in Phase three of a multi-year rollout – “all Universal features supported.”  In Phase two, all GA accounts were migrated to Universal. (Surprise!)  In Phase four, legacy GA code will be deprecated (date TBD).  “Data collected from the deprecated features will be processed for a minimum of 2 years.”  You should upgrade your code SOON, if you haven’t already done so.  You'll also need to upgrade custom code, e.g., events, virtual pageviews, etc.  Universal Analytics Upgrade Center Source: Vampyre Fangs
  • 30. #mwmetrics 30 Universal Analytics means user-centric data  GA can now display data in terms of users or sessions.  “User ID Feature” enables tracking individual users across devices.  Other network-connected devices can send data to GA:  Kiosks  Game consoles  Point-of-sale systems  It’s all based on custom coding…  But it can be done - now!  About the User ID feature  Custom Dimensions and Metrics Tracking even anonymous users has significant privacy implications, esp. if your site caters to children.
  • 31. #mwmetrics 31 Google’s “Analytics Academy”  Free video-based courses  Digital Analytics Fundamentals  Google Analytics Platform Principles  Ecommerce Analytics: From Data to Decisions  Mobile App Analytics Fundamentals analyticsacademy.withgoogle.com
  • 32. #mwmetrics 32 Resources  Google Analytics Blog  http://analytics.blogspot.com/  Universal Analytics Upgrade Guide  https://developers.google.com/analytics/devguides/collection/upgrade/  Google ‘User ID’ Guide  https://support.google.com/analytics/answer/3123662/  Avinash Kaushik’s “Occam’s Razor”  http://kaushik.net/avinash  Analytics Talk (Justin Cutroni)  http://cutroni.com/blog/  Supermetrics Data Grabber  http://supermetrics.com/  Automate Analytics Google Group  http://groups.google.com/group/automateanalytics/topics  Lunametrics blog  http://www.lunametrics.com/blog  Kissmetrics  http://blog.kissmetrics.com/
  • 33. Case Study: Puppet Invasion @erinblasco #mwmetrics Muppets copyright Disney. Fraggles copyright The Jim Henson Company. Sesame Street characters copyright Sesame Workshop.
  • 34. Case Study: Puppet Invasion • Opportunities: Muppets! Educational and promotional goals should fit together nicely. • Challenges: Not on display. Embargoed. Needed a fresh angle.
  • 35. Before writing goals: Who will I need to report to about this? • Must tell a complete story with a mix of metrics, benchmarks, photos, and anecdotes. • Various audiences: Data fiends, visual learners. New Media, Education, Public Affairs, Curatorial, and the Director.
  • 36. Identify goals • Highlight the diversity of puppets (not just Miss Piggy) • Promote the new donation but manage expectations: they won’t be on display • Increase knowledge of and interest in puppet conservation, a fresh angle
  • 37. Do one thing (strategy) to make each goal happen • Highlight diversity of puppets (sorry, Piggy) • Promote donation while managing expectations • Increase knowledge about puppet conservation • Tell stories of non-Piggy puppets • Show cool visuals of puppets but explain they aren’t on display • Tell stories from conservation lab, highlight staff expertise
  • 38. Select tactics that fit goals & strategies • Stories of non-Piggy puppets • Pics of puppets but captions explain they aren’t on display • Stories from conservation lab, highlight voices from behind-the-scenes • Guessing game with Fraggle fuzz • Flickr set with juicy captions, blog post, series of tweets • Blog post highlighting conservation process with lots of quotes
  • 39. Before implementing tactics: which metrics will you gather and report? • Tell stories beyond Miss Piggy • Guessing game with Fraggle Rock puppet • Participation level in guessing game • Metrics: – Clicks to view photo – Number of guesses on Twitter, FB, Instagram – Tone of responses (word cloud?)
  • 40. Before implementing tactics: which metrics will you report? • Increase puppet conservation knowledge & interest • Tell stories from conservation lab, highlight staff expertise • Blog post highlighting conservation process with lots of quotes • Metrics • Word cloud of hashtagged tweets reveals high use of conservationy keywords • Anecdotal evidence from tweets, quotes, comments on blog post • Impressions and engagements on conservationy posts higher than benchmark posts • Survey for followers • Learning = linger time?
  • 41. Before campaign starts: Implement metrics gathering system • Save and gather what’s being said • Storify best tweets • IFTT recipes • Make a Bitly bundle of customized links for easy stats • Do friends have access to enterprise metrics systems?
  • 42. Metrics gathering system: Tweet Archivist • Start TweetArchivist archive for hashtag • Mentions by influencers • Impressions • “Top users” • Volume over time • Hootsuite also archives
  • 43. Metrics gathering system • Fine-tuned listening and gathering: • Hootsuite or TweetDeck search columns – With keywords and location filter – Include “?” to track questions – Search for people tweeting links to your content • Search on Twitter: are you in “top” or “all” categories? • Capture free Tweet Reach report at intervals
  • 44. Metrics gathering system • Plan where participants can put their photos (Flickr Group); these are gold in reports later! • Compare hashtag volume on Topsy trends • Topsy’s most-shared images • Pre-write survey questions and schedule a tweet linking to it
  • 45. Benchmarks gathering system • Develop a benchmark: what feels like “average” activity the week before the big campaign? • Swap stats with a colleague at a similar institution to put your campaign in context. • Dig out your own stats from past campaigns. Export past tweets.
  • 46. OMG ELEVATOR AMBUSH! Boss’s boss: How was that puppet campaign you worked on? • Our Fraggles game got 100 guesses— twice our usual number of comments! Some even shared Fraggly memories with us. • Content highlighting our conservators was really popular—the pageview record was broken in just a few hours. • And one person actually tweeted that she wanted to quit her job and become a conservator!
  • 47. Select a balanced blend of metrics for the report What was the best part of the tweetup? “Bringing ‘behind the scenes’ look at museum exhibition to people outside DC/around the world. I learned about an exhibit I didn't know about, and now I want to go see it in person.” – survey response by a tweeter who followed online 1) Survey quote: testimonial 2) Word cloud of tweets shows themes of conversation: relevant & on-topic 3) Storify of best tweets: endorsement 4) High traffic to blog post vs. last month: exciting campaign content Take home message: The project was popular, with almost 8,000 views, which is higher than our usual average. Conversation was a major focus and key themes rose to the surface. Participants raved about it, both publicly and in a survey.
  • 48. Select a balanced blend of metrics for the report On an average day in January, @amhistorymuseum is mentioned in about 45 tweets. During #docsocial, we were mentioned over 160 times. This is a chart of the top people that tweeted with the hashtag. NMAH talked a lot (56 tweets) but so did many others. Most participants sent more than 10 tweets. 1) List of influencers: VIPs 2) A variety of voices participated 3) More mentions than usual: conversation! Take home message: The program enticed many people to participate, including fancy influencers. We reached more people than usual and were a hot topic of conversation.
  • 49. Usable metrics to make next time better • Survey participants to identify what to do differently next time. • Keep some of the same questions in every survey to compare across campaigns. • Ask tweetup participants to tweet to their own followers, too. Valuable feedback!
  • 50. Usable metrics to make next time better • Today’s campaign always looks better than last year’s because your base of social media followers has grown. • Pick one metric that still compares despite growth, such as the pace of growth in pageviews. • Did audiences clamor for this content? How viral did it feel?
  • 51. Usable metrics to make next time better • Collect and analyze fewer metrics. • Which report components spoke to your stakeholders most? • Which were most meaningful to you? • Keep those. Jettison the rest.
  • 53. Activity #1 Help us fix our jumbled up report. Sort the jumbled pieces of the report into categories (goals, metrics, etc.) and arrange them logically. If you have time, critique the metrics. Do you think they are meaningful? If not, write a new one you think would be better.
  • 54. AMBUSH! You’re on the elevator and the museum director jumps on. He’s read your report and has a few questions. No escape! How might you answer him? a) Which of these metrics is most and least meaningful? b) I saw 3 negative comments on Facebook. Are you sure the campaign was successful? c) What questions do you still have about the campaign? d) So did we “go viral” yet?
  • 55. Effie Kapsalis Head of Web & New Media Smithsonian Archives @digitaleffie #MWmetrics
  • 56.
  • 57.
  • 58. Flickr user Rachel Ford James
  • 59. Target Audiences  Researchers (interns, fellows, academic researchers)  Serious online researchers (Wikipedians, Collections mystery solvers on Flickr Commons etc)  General public enthusiasts (Lifelong Learners, DIYer looking for information and help)  Smithsonian record creators
  • 60. Broad Organizational Mission “The Archives’ mission is to document the goals and activities of the whole Smithsonian in its pursuit of increasing and diffusing knowledge, and exciting learning in everyone. The Archives is also responsible for ensuring institutional accountability, and for enhancing access to the rich and diverse resources in its care. ”
  • 61. Step 1: Identify Goals Credit: Avinash Kaushik, “Digital Marketing and Measurement Model,” http://www.kaushik.net/avinash/digital-marketing-and- measurement-model/
  • 62. Step 2: Identify Strategies/Tactics Credit: Avinash Kaushik, “Digital Marketing and Measurement Model,” http://www.kaushik.net/avinash/digital-marketing-and- measurement-model/
  • 63. Step 3: Identify Key Performance Indicators (KPI) Credit: Avinash Kaushik, “Digital Marketing and Measurement Model,” http://www.kaushik.net/avinash/digital-marketing-and- measurement-model/
  • 64. Strategy: Tell Stories Highlighting Smithsonian as Research & Education Catalyst Blog KPI – Low Frequency Visits are trending down + High Frequency Visits are trending up!
  • 65. Strategy: Increase Representation of Archives’ Collections on Popular Research Websites
  • 66. Wikipedia Page Views: BaGLAMa GLAM/Wikipedia Tools - https://outreach.wikimedia.org/wiki/GLAM/Resources/Tools
  • 70. Strategy: Increase Share & Quality of Conversation around SIA Collections & Resources
  • 71. Strategy: Increase Share & Quality of Conversation around SIA Collections & Resources
  • 72. Strategy: Increase Share & Quality of Conversation around SIA Collections & Resources
  • 77. Foresee Open Ended: Did not find looking for • Collections (30) • Of 30 responses, only 4 were searching for items we DO have. • “list of architectural styles of the Smithsonian buildings” • “Mary Henry's complete diary” • “Electronic version of the Smithsonian Annual Report 1895.” • “http:// siarchives.si.edu/history/exhibits/historicpicturessmithsonian but got AFRICAN MUSEUM” • Photos/Digitized Collections (3) • In general, people were looking for more.
  • 78. Foresee Open Ended: What ways can we improve search?  Want “Google” results  Many of the titles are unclear about what they contain  I wish audio were available  Need greater clarity on what can be accessed electronically.  Access to records, pictures  Who to contact for help, live chat
  • 83. Keep Learning  Know your bone (Colleen Dilenschneider) - http://colleendilen.com/  Beth Kanter – How Connected Non-Profits Leverage Networks & Data for Social Change- http://www.bethkanter.org/  Avinash Kaushik - http://www.kaushik.net/avinash/ @digitaleffie
  • 84. Creating a Social Media Metrics Reporting Framework & Setting up Analytics for Native Apps Sarah Banks Manager of Online Engagement
  • 85. Goals for Air and Space’s Metrics Reporting 1) Ties social media reporting to museum and institutional goals 2) Enables the gathering of meaningful, actionable data 3) Lets us know whether or not we are meeting our goals 4) Remains manageable, and flexible as the available metrics and tools change
  • 86. Creating the Framework: Step 1 Align Goals and Priorities, Select Metrics: Start with strategic priorities for your institution. Work down from there to your goals for social media and select metrics. Institutional Strategic Plan Museum Goals Social Media Goals Quantitative & Qualitative Data
  • 87. Example: Mapping Goals to Data & Stories 1. Smithsonian Strategic Priority – Revitalizing education 2. Air and Space Museum Goal – Enhancing outreach efforts 3. Social Media Goal – Increase engagement with online communities 1. Quantitative & Qualitative Data – Average numbers of likes, comments, and shares per post; average number of comments per day on Twitter; examples of comments showing engagement and learning; most engaging content on each platform
  • 88. Creating the Framework: Step 2 Decide on Frequency of Data Collection: How often do you want to collect and analyze data? How do those reports relate to each other?
  • 89. Example: Reporting Frequencies Frequency Purpose Distribution Monthly Capture highlights, stories, and data to create a snapshot of the month. Web & New Media Dept, Intranet Quarterly Summarize highlights and stories, and add analysis about what’s working and what could be improved. Web & New Media Dept, Web Advisory Group, Intranet Yearly Encapsulate the year’s activities, successes, and areas for improvement. Make recommendations for changes to goals, strategies, and tactics for the next year. Web & New Media Dept, Web Advisory Group, Intranet Special Projects/Events/ Campaigns Provide a more in-depth look at a story covered at a high-level in a monthly report. Participants, Web & New Media Dept, Web Advisory Group, Intranet
  • 90. Creating the Framework: Step 3 Create Templates: Set up your mapped priorities, goals, and metrics and think about how to fit in the stories.
  • 91. Example: Monthly Report • Case Studies and Highlights -> stories that capture the month’s activities and examples that illustrate impacts • Broadening Access -> growth in followers and number of people reached by our content • Revitalizing Education -> engagement metrics
  • 92. Creating the Framework: Step 4 Test and Refine: Expect bumps in the road as you try to collect and analyze data. Adjust as needed!
  • 93. Lessons Learned from Initial Implementation Trouble Spots Successes Had created something time-consuming and therefore difficult to sustain. Tying goals to metrics was useful for positioning social media with institutional priorities. Found discrepancies between data collected by 3rd-part tools and data seen on posts. Templates are flexible enough for our needs as those change. Discovered that a different setup of tools was needed to make data collection easier.
  • 94. Refining & Adjusting • Revised approach – start small and build • Conducted further research on tools – combination of Twitter analytics, Facebook Insights, and TrueSocialMetrics • Simplified data collection – focused on essentials that are easy to track over time
  • 95. Next Steps • Keep experimenting with how to convey qualitative data. • Continue looking at how best to measure whether goals are being met.
  • 96. Setting up Analytics for Native Apps
  • 97. What’s Possible? • As with websites, Google Analytics is a powerful tool to help you know if you’re meeting your goals. • You have to ask your developer to add it in. Can’t be added later without an update to the app. • Basic GA only give you so much. Event-based analytics allow for more nuanced data about usage.
  • 98. How to Start? 1. Write down your goals for the app and think about the concerns/questions that are arising during development. 2. Use the app to see where users take action – make a decision, click something, etc. 3. Label each point of action, as well as things with duration. Those are your event-based metrics. 4. Think ahead and label each event with “appname_label” in a way that will make sense to someone who doesn’t know your system. 5. Put all labels in a spreadsheet and give to the developer.
  • 99. Pilot Pals - Educational Goals
  • 100. Pilot Pals - Lots of Choices to Make! • Enter name or not • Mute or unmute sound • Access parents section and its tabs • Select 1 of 4 games • Select aircraft within games • Try again • Play again or return to main menu • Reset personalization • Parents accessing different parts of the parents section
  • 101. Using Data to Address Concerns: “Kids won’t pick the autogiro.”
  • 102. Thanks! Any Questions? My Contact Info: Sarah Banks bankss@si.edu @sbanks20
  • 103. #mwmetrics  Discuss today’s workshop “takeaways”: What are your Chicago-style #mwmetrics ingredients? 103 Food for thought (to go)! Crust: 1 way in which you will try to implement this metrics model Chunky tomato sauce: 1 tool you’ll give a try Toppings: 1 way you’ll improve & jazz up reports Cheese: 1 new way you’ll communicate metrics to colleagues or partners Chicago style pizza photo by HarlanH on Flickr. CC BY-NC 2.0.