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Effectiveness Metrics for the Web Prepared for the University of Washington May 17 th , 2001

Effectiveness Metrics for the Web

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Effectiveness Metrics for the Web. Prepared for the University of Washington May 17 th , 2001. What Will We Be Discussing Today?. Overview of Online Metrics Measuring Web Site Effectiveness Wells Fargo Case Study Cap’n Crunch Case Study Q&A. Introduction. - PowerPoint PPT Presentation

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Page 1: Effectiveness Metrics for the Web

Effectiveness Metrics for the WebPrepared for the University of Washington

May 17th, 2001

Page 2: Effectiveness Metrics for the Web

What Will We Be Discussing Today?

Overview of Online Metrics

Measuring Web Site Effectiveness

Wells Fargo Case Study

Cap’n Crunch Case Study

Q&A

Introduction

Page 3: Effectiveness Metrics for the Web

Online Metrics – Art vs. Science

Page 4: Effectiveness Metrics for the Web

What is the Value of Online Metrics?

Prove the value of a campaign/initiative

Evolve your campaigns, products, etc.

Understand your users better

Forecast and respond to trends

Uncover new business opportunities

Online Metrics – Art vs. Science

Page 5: Effectiveness Metrics for the Web

Perspective

Process Tools

• User-Centric

• Results Oriented

• Seek Affirmation

• Web Reporting Tools

• Campaign Tracking

• Sales Data

• Dynamic Marketing• Online Focus Grouping

• Surveys

• Periodic Analyses

Online Metrics – Art vs. Science

The Art & Science of Measuring Effectiveness

Page 6: Effectiveness Metrics for the Web

User Experience (UXP) is:

Whatever the user sees, thinks, or feels in the interaction with a brand, product, or company.

The UXP is an accumulation of interactions through Web, brick and mortar, call center, wireless, direct marketing, kiosks, DITV, PDAs, etc.

The UXP should drive transactions, learn from the customer, and positively impact brand perception

UXP is successful through understanding expectations, quality of execution, and ability to adapt quickly to ever-changing user needs.

TransactionsCustomer

Insight

User

Business

GoalsAttraction Expectations

Functionality ContentEnvironment

The User Experience

BrandImpact

Online Metrics – Art vs. Science

Page 7: Effectiveness Metrics for the Web

Our View on Measuring Web Effectiveness

Page 8: Effectiveness Metrics for the Web

Site Diagnostics

Online Focus Groups

Web Reporting & Analysis - eMetrics

Natural Language Query and Search

Setting Performance Models and Driving Business Value

DareStep Perspective on Evaluating Web Site Effectiveness

Professionals

Technology &Process

Real Users

Technology

Our View on Measuring Web Effectiveness

Page 9: Effectiveness Metrics for the Web

Information Architecture: structure of the site, navigation, and labeling

Content: text, images, and multimedia content

Functionality: such as transactional capabilities, personalization, etc.

Brand Impact: consistent message and visual representation of brand

Design: effectiveness of the visual layout, use of color, type, image, etc., in conveying the brand image and enabling users to accomplish their goals

Marketing: can users easily find the site? Are their expectations set correctly?

Community: social interaction and creation of intellectual capital like customer book reviews

Our View on Measuring Web Effectiveness

Site Diagnostics: Evaluation Criteria

Page 10: Effectiveness Metrics for the Web

Usability: how easy is it for users to accomplish their tasks?

Support: What kinds of support (email, phone, etc.) are available and how effective are they?

Consumer Confidence: will users trust this site to do business? Includes security, privacy, credibility, and reliability

Our View on Measuring Web Effectiveness

Site Diagnostics: Evaluation Criteria

Page 11: Effectiveness Metrics for the Web

• Target customer profile

• Large sample size

• Panel proactively managed

Invite sample of testers

Invite sample of testers

Testers login from natural Web settingTesters login from

natural Web setting

• Natural setting

• Minimize “demand characteristics”

• Anonymity encourages candor

Testers evaluate site(s)

Testers evaluate site(s)

• Intent-based context

• Expectations and interaction interpreted together

• Objective and subjective

indicators

Online Focus Groups: Methodology

Our View on Measuring Web Effectiveness

Page 12: Effectiveness Metrics for the Web

Online Focus Groups: User Response

Our View on Measuring Web Effectiveness

Page 13: Effectiveness Metrics for the Web

Natural Language Input (Query /Search)

- Responses tailored to explicit Query and Search

- Enhancement Opportunities for Knowledge Base

- Improved perception of customer service

Keyword Search

- Access through Indexed Content Management

Service Effectiveness Measures / User Experience

- Percent Questions Answered Correctly

- Speed to Correct Response

- Content Gaps – Enhancement Opportunities

Search

Our View on Measuring Web Effectiveness

Natural Language: Query and Search

Page 14: Effectiveness Metrics for the Web

Our View on Measuring Web Effectiveness

Web Reporting & Analysis: eMetrics

Site Analysis: Operations & Design- Volume and Capacity Planning

- Response Time and Latency

- Dead Ends – Content Augmentation – Link Integrity

Customer Analysis: User Behavior & History- Customer Profiles

- Behavioral

- Lifetime Value Analysis

Business Analysis: Financial & Marketing- Return on Investment

- Campaign and Partnership Effectiveness

- Cost of Business and Efficiencies

Page 15: Effectiveness Metrics for the Web

Web Reporting & Analysis: Range of Reports

Our View on Measuring Web Effectiveness

Basic Reports – Metrics based on traffic data

eBusiness Reports – Reports based on integrated traffic data, transactional data, registration data, email

Behavioral Profile Reports – Reports generating customer profiles and segmentation, based on integrated traffic data, transactional data, registration data, email

Page 16: Effectiveness Metrics for the Web

Web Reporting & Analysis: Basic Report

Number of Visits by Visit Duration

This report shows the amount of time visitors spent on your Web site during visits.

ResultsVisit Duration # of Visits

1 No Duration 12,5592 1 second - 1 minute 2,8373 1 minute - 2 minutes 3,5044 2 minutes - 3 minutes 3,5985 3 minutes - 4 minutes 2,9506 4 minutes - 5 minutes 2,5887 5 minutes - 6 minutes 2,2438 6 minutes - 7 minutes 1,8419 7 minutes - 10 minutes 3,45610 >= 10 minutes 2,093

Summary# of Visits

Total # of Visits 37,669Avg. Visit Duration (minutes) 4.2

Basic report category is fundamental to all business functions and forms the building block of Web Site Analysis.

Types of reports:• Hits• Page views• Visits• Click-through• URL of origin

Our View on Measuring Web Effectiveness

Source: NetGenesis

Page 17: Effectiveness Metrics for the Web

Web Reporting & Analysis: eBusiness Report

Purchase Status

This shows what percent of users are browsing vs. buying.

ResultsBought Status # of Visits % of Total Cumulative %

1 Did Not Buy During Visit 30,728 86.8 86.82 Bought During Visit 4,659 13.2 100.0

Total 35,387

eBusiness report category uses various data to depict visitor activity on the Web, and is increasingly required to support higher level of business.

Types of reports:• Conversion rate• Customer Lifetime value• ROI reports• Site performance

Our View on Measuring Web Effectiveness

Source: NetGenesis

Page 18: Effectiveness Metrics for the Web

Web Reporting & Analysis: eBusiness Report

171,511 (14.3 %) Entered Registration Page

42.1%

56.5%

Registration Process Step 1

Step 2

Step 3

Confirmed

100%

64.5%

1,200,500 Visitors accessed the Everyday Law site

110,636 (9.2% ) Reached Step 2

96,913 (8.1 %) Reached Step 3

72,035 (6.0% ) Registered

35.5% Dropout at Step 1

12.4% Dropout at Step 2

25.7% Dropout at Step 3

85.7% Never Entered

Registration Page

57.9% Abandoned the Registration Process

eBusiness report category uses pre-generated segmentation of identified visitors, to answers higher level business questions.

Types of reports:• Visitor form abandonment• Visitor shopping cart

abandonment• Repeat purchasers• Repeat items purchased by

type of visitor

Source: Personify

Our View on Measuring Web Effectiveness

Page 19: Effectiveness Metrics for the Web

Web Reporting & Analysis: Behavioral Profile Report

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Criminal Law

P rofessional Section

Ask the Expert

Small Businesses

Consumer Law

Resources

News & Tips

Cursory Visitors Attorneys Small Businesses Community Seekers News fans

6%

9%

11%

16%

18%

22%

29%

32%

45%

International Law

Resources

Criminal Law

IP Law

Small Businesses

Employment Law

News & Tips

Ask the Expert

Professional Section

Source: Personify

Our View on Measuring Web Effectiveness

How many visitors who viewed the different content areas also subscribed to the Newsletter?

Page 20: Effectiveness Metrics for the Web

Case Study: Wells Fargo

Page 21: Effectiveness Metrics for the Web

Wells Fargo’s Objectives

Convert existing customers to online banking and bill payment

Engage account holders in other relationships with the bank

Lower the costs of mining customer relationships and building new accounts

Case Study: Wells Fargo

                                                                                      

Page 22: Effectiveness Metrics for the Web

Approach

Establish an ad serving system to track the delivery and effectiveness of campaigns

Capture the “low hanging fruit” – target existing account holders with high internet usage on their favorite sites

Target potential and existing customers on lifestyle sites and on wellsfargo.com

Case Study: Wells Fargo

Page 23: Effectiveness Metrics for the Web

Potential Metrics?

Click through rates

Total Accounts

Cost per click (CPM + Agency Costs)

Cost per transaction

Cost per new account

Potential total customer value

Case Study: Wells Fargo

Page 24: Effectiveness Metrics for the Web

Wells Fargo: Execution

Case Study: Wells Fargo

User Sees Banner on Web

User Clicks Through (cookied)

User Visits Landing Page User Fills Out Application

User Exits – Browses

Elsewhere

User Exits – Browses

Elsewhere

# of views

# of clicks

# of visits,time

# of exits

# of apps

# of returns

Brand Impression

Page 25: Effectiveness Metrics for the Web

Wells Fargo: Execution

Case Study: Wells Fargo

Old Banner Creative

• Average Click-through rate of 0.x%• y number of applications per month• z number of “branded impressions”

New Banner Creative

• Same average click-through rate• ~10% higher number of applications per month• ~20% higher “branded impressions”

Champion

Challenger

Page 26: Effectiveness Metrics for the Web

Wells Fargo: Execution

Case Study: Wells Fargo

Old Style Creative

• Average click-through rate of 0.x%

New Style Creative

• ~10% higher click-through rate

Champion

Challenger

Page 27: Effectiveness Metrics for the Web

Wells Fargo: Execution

Case Study: Wells Fargo

468x60

Banner Creative

160x40

Landing Page

Page 28: Effectiveness Metrics for the Web

Overall Results

Installed Campaign Management tools - adapted creative, placements on the fly

Optimized campaigns for optimal results, resulting in a lower cost-per-transaction

Drove considerably higher numbers of new accounts across all products

Case Study: Wells Fargo

Page 29: Effectiveness Metrics for the Web

Case Study: Cap’n Crunch

Page 30: Effectiveness Metrics for the Web

Cap’n Crunch’s Objectives

Create brand relevancy with the 9-12 year old market

Invigorate the aging brand and create a sense of excitement among youth

Increase sales with new customers

Recapture market share

Case Study: Cap’n Crunch

Page 31: Effectiveness Metrics for the Web

Cap’n Crunch: Approach

Case Study: Cap’n Crunch

Page 32: Effectiveness Metrics for the Web

Potential Metrics?

Page Views

Time Spent on Site

Registration

Clue Entries / Offline Interactions

Sales

Branding Value

Case Study: Cap’n Crunch

Page 33: Effectiveness Metrics for the Web

Cap’n Crunch: Campaign Highlights

Case Study: Cap’n Crunch

Page 34: Effectiveness Metrics for the Web

Cap’n Crunch: Campaign Highlights

Case Study: Cap’n Crunch

Page 35: Effectiveness Metrics for the Web

Cap’n Crunch: Campaign Highlights

Case Study: Cap’n Crunch

Page 36: Effectiveness Metrics for the Web

Cap’n Crunch: Campaign Highlights

Case Study: Cap’n Crunch

Page 37: Effectiveness Metrics for the Web

Overall Results

Week 1 gave us 600,000 impressions, 70,000 user sessions

After the first half of the campaign, the web site recorded:

- 4 million impressions

- 500,000 user sessions

- 100,000 registered users

Quaker beat their projected sales

Case Study: Wells Fargo

Page 38: Effectiveness Metrics for the Web

Overall Results

Avg. time on Disney’s site: 15 min.

Avg. time on Nickelodeon’s site: 19 min.

Avg, time on Cap’n Crunch: 20 min.

Kids see an average of 10 – 20 ads per year, for a total of 10 minutes of exposure to the brand – the web far outpaced old media

Case Study: Wells Fargo

Page 39: Effectiveness Metrics for the Web

Overall Results

7MM CD-ROMs distributed in special packs

Avg. play time of 5-7 hours (initial)

Cap’n Crunch increased their market share from 2% to 4.5% (previous promo increased share by 1%)

Case Study: Wells Fargo

Page 40: Effectiveness Metrics for the Web

Discussion