using web analytics to influence business decisions

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Using Web Analytics to Influence Business Decisions for NE/SAE: New England Society of Association Executives Web analytics tools help you track your site's statistics, allowing you to see how many people are looking at which page, what sites your visitors are coming from, who your users are, and more. This information can in turn help you measure traffic, understand your visitors' needs and behavior, and gauge click-through rates to new content or features. Whether you're a nonprofit or a for-profit, your data-tracking needs are virtually the same. This session will show you what to consider when choosing an analytics package, and identify free tools and robust applications that can help you better understand your site's visitors. You will learn how to continuously improve your web site, how to find out what your prospective members are most interested in and where they tend to find you, and how you can hone your message and marketing efforts both online and offline to get more leads. Chuck Murphy, Founder & Chief Executive Officer Chuck is responsible for the day-to-day operations of Boston Interactive. He founded the company in 1999 and grew it from a home-based business to an operation with clients from around the world. Chuck acts as Executive Sponsor for major projects, providing both his vision and his leadership to the design and programming teams. Chuck frequently speaks on non-profit website best practices, and is active in many of the local professional organizations. Some of the major organizations Chuck has worked with are Iron Mountain, Forrester Research, Genzyme Corporation, the ASPCA and ACCION International.

TRANSCRIPT

1

“Using Web Analytics to Influence Business Decisions”2010 Technology Conference

What You’ll Learn

2

Analytics 101

Business requirements

The data

Meet the vendors

What to do with it

Case studies

About Me

3

Chuck MurphyBoston Interactive

Founder & CEO

Engineering Degree

Pharmaceuticals

Usability

User-centric design

400+ Websites

Definition

4

Website Analytics

Definition: “Analytics” - how an entity arrives at an optimal or realistic decision based on existing data.

User Centric

5

User Centric Design Before: inform on past behaviors

After: to measure our assumptions

History

6

HistoryPast: Hit Counters

Current: Analytics

Future: Integrated Analytics

History

7

HistoryPast: Hit Counters

Current: Analytics

Future: Integrated Analytics

History

8

HistoryPast: Hit Counters

Current: Analytics

Future: Integrated Analytics

History

9

HistoryPast: Hit Counters

Current: Analytics

Future: Integrated Analytics

History

10

HistoryPast: Hit Counters

Current: Analytics

Future: Integrated Analytics

Things you can measure

11

TechnologyYour Websites

Social Media

Video

Mobile

Blogs

Things you can measure

12

TechnologyYour Websites

Social Media

Video

Mobile

Blogs

Things you can measure

13

TechnologyYour Websites

Social Media

Video

Mobile

Blogs

Things you can measure

14

TechnologyYour Websites

Social Media

Video

Mobile

Blogs

Things you can measure

15

TechnologyYour Websites

Social Media

Video

Mobile

Blogs

How it works

16

How it works

17

How it works

18

The business side

19

AssociationsOnline & OfflineAnalytics vs. SurveysOrganizational Goals Actual User BehaviorObjectives

– Membership– Resources– Dues payments– Registrations– Conference information

What it tells us

20

Analytics can tell youHow are visitors using your siteWhat actually works Vs. what you think works Is my content effectiveHow can I improve my site navigationUnexpected Insights

Analytics 101

21

DashboardVisits

Visitors

Page Views

Pages

Site Usage

Traffic Source

Visitor Loyalty

Geographic sources

Search Terms

Time on Site

Bounce Rate

Analytics 101

22

What it meansVisits

Visitor

Page Views

Pages

Visitors Visits Page Views Pages

0 0 0 0

Analytics 101

23

What it meansVisits

Visitor

Page Views

Pages

Visitors Visits Page Views Pages

0 0 0 01 1 1 1

Analytics 101

24

What it meansVisits

Visitor

Page Views

Pages

Visitors Visits Page Views Pages

0 0 0 01 1 1 12 2

Analytics 101

25

What it meansVisits

Visitor

Page Views

Pages

Visitors Visits Page Views Pages

0 0 0 01 1 1 12 23 3

Analytics 101

26

What it meansVisits

Visitor

Page Views

Pages

Visitors Visits Page Views Pages

0 0 0 01 1 1 12 23 34

Goals

27

GoalsMapping website actions to business goals

Business Goals Pay dues online

Access resources

Community involvement

Measurement Thank you page

Time in section

# Postings

Goals

28

GoalsMapping website actions to business goals

Business Goals Pay dues online

Access resources

Community involvement

Measurement Thank you page

Time in section

# Postings

Goals

29

GoalsMapping website actions to business goals

Business Goals Pay dues online

Access resources

Community involvement

Measurement Thank you page

Time in section

# Postings

Goals

30

GoalsMapping website actions to business goals

Business Goals Pay dues online

Access resources

Community involvement

Measurement Thank you page

Time in section

# Postings

Goals

31

FunnelA series of pages which a visitor must pass through before reaching the conversion goal

Goals

32

FunnelA series of pages which a visitor must pass through before reaching the conversion goal

Goals

33

FunnelA series of pages which a visitor must pass through before reaching the conversion goal

Heuristics

34

Heuristics

35

Heuristics

36

Heuristics

37

Vendors

38

VendorsGoogle Analytics

Webtrends

Crazy Egg

Visistat

Omniture

Hubspot

Vendors

39

VendorsGoogle Analytics

Webtrends

Crazy Egg

Visistat

Omniture

Hubspot

Vendors

40

VendorsGoogle Analytics

Webtrends

Crazy Egg

Visistat

Omniture

Hubspot

Vendors

41

VendorsGoogle Analytics

Webtrends

Crazy Egg

Visistat

Omniture

Hubspot

Case Study

42

Goal Increase Donations

Case Study

43

Goal Increase Donations

Case Study

44

Goal Increase Donations

Result18% increase in online donations

Case Study

45

GoalUnderstand users preferences

Case Study

46

GoalUnderstand users preferences

Case Study

47

GoalUnderstand users preferences

Result300% longer site time on site

Case Study

48

Goal Increase conversions to contact pages

Case Study

49

Goal Increase conversions to contact pages

Case Study

50

Goal Increase conversions to contact pages

Result38% increase in online appointments

Conclusion

51

Map goals to business requirements

Automate reports

Track, Analyze, Adjust

Look for trends

Analyze data together

Chuck Murphycmurphy@bostoninteractive.com(617) 241-7977 x221Presentation: Bostoninteractive.com/nesae

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