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Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation
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Introducing Data Driven Tech Leadership: Social media, Google Analytics, and Data Segmentation

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Data-Driven Technology Leadership focuses on key questions and recommended metrics to help you provide direction to your organization on effective contact and donor management, social media and web …

Data-Driven Technology Leadership focuses on key questions and recommended metrics to help you provide direction to your organization on effective contact and donor management, social media and web content management.

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  • This presentation demonstrates the new capabilities of PowerPoint and it is best viewed in Slide Show. These slides are designed to give you great ideas for the presentations you’ll create in PowerPoint 2011!

    For more sample templates, click the File menu, and then click New From Template. Under Templates, click Presentations.
  • Roles:
    Leadership
    Development
    Marketing/Comms
    Tech
    Are you in charge of doing any of this (looking at numbers)?
  • Sample questions?
  • What are the leadership decisions you need to make in these 4 areas? We’re setting up to answer these in our sections of the preso.
  • Programming, advocacy and fundraising implications
  • Columns L to R: Total Reach, Engaged users, Talking about this, Virality
  • Yes, it’s long and sucky. But it eoncompasses everything!
  • Purpose of web analytics is to help you make decisions about your org: what to change, what to add, what to remove, etc.
  • KPIs reduce all the mounds of data to a few simple, crucial points of data that are important to you, your org, your board, etc. The are often ratios,
  • Training providers: FREE: Google Analytics Help, LunaMetrics
  • In today’s world, data is not something else.
  • Transcript

    1. DEBRA ASKANASE STEVEN BACKMAN MARC BAIZMAN introducing DATA DRIVEN TECH LEADERSHIP 1 Some rights reserved: This work is licensed by Debra Askanase, Steven Backman, Marc Baizman under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA.
    2. TODAY’S AGENDA • Introductions: Who’s in the room • Data-driven leadership and business goals • Facebook Insights: informing decisions • Getting what you need from Google Analytics • Smart data segmentation • Wrap-up/Q&A • Handout What you need to make great decisions! 2
    3. WHO’S IN THE ROOM? 3
    4. …AND WHO ARE WE? 4
    5. Sample Questions to Consider 5
    6. Marketing Development Programs Volunteers/Advocacy 1. Which social media effort will help us recruit volunteers? 2. Should I hire a marketing staff? 3. How to compare the effectiveness of print, email, web, social media, press? 1. Which programs grew the most last year? 2. Do our client demographics match our mission, funding? 3. Do participants take part in more than one program? 1. What determines the giving potential for our donors? 2. Which donors have the most interest in our work? 3. Are our current or potential donors using social media? Which channels? 1. Where do good volunteers come from? 2. Are we hitting the issues important to our constituents 3. Do our activists support us financially? 6
    7. FACEBOOK INSIGHTS GOOGLE ANALYTICS SMART SEGMENTATION WHERE TO GET THE DATA 7
    8. FACEBOOK INSIGHTS 8
    9. SAMPLE SOCIAL MEDIA QUESTIONS 1. How many people care about us (and how deeply)? 2. What do they care about the most (and how deeply)? 3. What are we doing that reaches the most people? 4. What do we know about who cares about us? Programming, advocacy and fundraising implications 9
    10. 10
    11. 1. How many people care about us (and how deeply)? PATA: “People Are Talking About” is the new engagement metric 11
    12. Liking the page doesn’t translate into reach. Stories reach. 12
    13. 2. What do they care about the most? 13
    14. 2. What are we doing that is working => What do they care the most about? 14
    15. What prompts them to mention you? 15
    16. Example of a success story: Einstein story, by the Insights 16
    17. Drilling down into post engagement For the Einstein post, there were more engaged users (268) than the PATA metric (205) 17
    18. 3. What are we doing that reaches the most people? 18
    19. 4. What do we know about our fans? 19
    20. What do we know about who cares a lot? 20
    21. Tie it together with your own social media dashboard Find this sample online metrics tracking template at: http://bit.ly/onlinemetricspreadsheet 21
    22. WEB ANALYTICS 22
    23. Definition: Web analytics is the assessment of a variety of data, including web traffic, web-based transactions, web server performance, usability studies, and related sources to help create a generalized understanding of the visitor experience on-line. Eric Petersen, “Web Analytics Demystified” http://webanalyticsdemystified.com 23
    24. “Knowledge without action is meaningless” Goethe 24
    25. Need to determine YOUR “Key Performance Indicators” 25
    26. Google Analytics is Free BUT Your Staff’s Time Isn’t! Invest in Training OR Get Someone to Help! 26
    27. http://www.google.com/analytics 27
    28. SAMPLE NONPROFIT QUESTIONS 1. How many people look at our site? 2. How do people find our website? 3. What are people looking at? 4. What do we want people to do? (“Calls to action” e.g. donate, sign-up for newsletter) 5. Are they actually doing those things? 28
    29. How many people look at our site? 29
    30. How do people find our website? 30
    31. What are people looking at? 31
    32. What do we want people to do? (“Calls to action” e.g. donate, sign-up for newsletter) 32
    33. Are they doing those things? 33
    34. THIS IS JUST THE BEGINNING! • Geography/Language Targeting • AdWords/Google Grants ($10K/month) www.google.com/nonprofits • Real-time statistics • Benchmarking …and so much more! 34
    35. SMART SEGMENTATION 35
    36. Where to begin? How is our Email Newsletter doing? 36
    37. Where to Begin? Try your calendar . . . • September News • October News • Open House • --Fall Fund Appeal-- • November News • --Fall 2d Appeal— . . . 37
    38. Segmentation and Nonprofit Communications “Segmentation is the process of defining the largest potential market in a way that is most useful to an organization. Market segmentation is done by dividing the whole into definable parts to identify, name, and describe these pieces in a way that makes sense for an organization.” --Shelli Bischoff http://www.austincc.edu/npo/library/documents/Nonprofit%20Marketing%20with%20a%20Purpose.pdf 38
    39. Make Your Peace with Segmentation One List fits All Use Segmentation “Our constituents share common interests” vs. Experiment with meeting specialized interests Separate messages take time and funds vs. Target resources to increase effectiveness No way to separate lists vs. Take campaign approach to redrawing lists Our funders don’t expect it vs. Match fund sources to constituents, services 39
    40. Data in Many Places 40 Donors Print Mailings Email, Activity Volunteers Web Clients, Funders Memberships, Services Registrations … Partners, Activists Contacts Events, Social Media
    41. Segmenting Contacts - Possibilities • Policy Interest Areas—legislation, advocacy • Program Interest Areas—your services • Participation Area—Volunteer areas • Client Services—past history • Demographics—what matters to you? • Giving History • Formal membership • Key staff or board contact • Individuals vs Households vs Organizations 41
    42. From Calendar to Lists Event Media Source Data Goal Fall Appeal 1 Email Contact, donor, email history Open House Fall Appeal 2a Print, Email Email sign- up? FB? Large, Lapsed donors 10% return Fall Appeal 2b 42
    43. Managing the Fall Appeal - Exclude - Year End Only, {Premier Volunteer}, Do not solicit, No Mail, Bad Address, Deceased, and Anonymous 1: Major Active - Gift date since 1/1/11; gift amount >= $250 2. Major Lapsed - Gift date since 1/1/08; amount >= $250 ; Not this year 3. Regular Active - Gift date since 1/1/11; amount <= $249 4 Regular Lapsed - Gift date since 1/1/08; amount <= $249 43
    44. Report Example 44
    45. Combining Data Sources – 45 Query Email Solicitation Results against Contact data
    46. Don’t Overreach Find indicators that support your goal Find measures you can collect 46
    47. FACEBOOK INSIGHTS GOOGLE ANALYTICS SMART SEGMENTATION RESOURCES FOR YOU 47
    48. Wrapping Up: Where to Start • Know what you want to know before digging into the data • Learn from experience...Be confident everyone is learning • Plan to have integrated tools • Demystify “data” for your organization • FREE is not FREE - invest in training or get help!!!! 48
    49. Facebook Insights Resources • Customizable online metrics tracking spreadsheet for you to use and share: http://bit.ly/onlinemetricspreadsheet • (New) Facebook page insights, explained: ads.ak.facebook.com/ads/creative/insights/page-insights-guide.pdf • Applying social metrics framework to the new Facebook Insights, from Beth Kanter: http://www.bethkanter.org/best-metrics/ • How to use the new Facebook insights (video tutorial), from John Haydon: http://www.johnhaydon.com/2011/10/how-use-facebook-insights-video- tutorial/ • Using Facebook to Meet Your Mission, Idealware report: http://idealware.org/facebook_survey • Consistently updated list of nonprofit marketing bloggers and influencers: http://campaigns.traackr.com/campaigns/view/3518 49
    50. 50 Social Media Sharing Center http://socialbrite.org/sharing-center
    51. Web Analytics Resources • Brian Clifton, “Advanced Web Metrics with Google Analytics” • Eric Petersen, “Web Analytics Demystified” • Jim Sterne, “Web Metrics” • Analysis Exchange (pairs web analytics peeps and NPOs for FREE): http://www.webanalyticsdemystified.com/ae/ae-business.asp • Frogloop Blog Post: http://www.frogloop.com/care2blog/2008/10/13/using-google-analytics- to-track-a-nonprofit-website-part-1.html • Google Analytics Help: http://www.google.com/support/analyticshelp • Google Analytics Getting Started: http://www.google.com/analytics/discover_analytics.html • Google Analytics Blog: http://analytics.blogspot.com • LunaMetrics: http://www.lunametrics.com/google-analytics-training/ • eMetrics Marketing: http://www.emetrics.org 51
    52. Data Segmentation Resources • Geoff Lancaster, “Customers and marketing,” http://bit.ly/9f8FRq • Ian Bruce, “Segmentation and targeting “ http://bit.ly/apETsV • Idealware, Consumers Guide to Low Cost Donor Management Systems, http://bit.ly/ljzdKC • Constant Contact, Email Marketing resources, http://bit.ly/8YiiTs • Convio, Moves Management, http://slidesha.re/pdgmfn • Shelli Bishoff, Nonprofit Marketing With a Purpose http://bit.ly/nfKuCD 52
    53. Thank You!! Debra Askanase, Digital Engagement Strategist http://communityorganizer20.com debra@communityorganizer20.com (617) 682-2977 Marc Baizman, My Computer Guy http://mcgtraining.com marc@mcgtraining.com (617) 329-1868 Steve Backman, Database Designs http://www.dbdes.com steve@dbdes.com (617) 423-6355 53

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