web analytics spring 2010

19
WEB ANALYTICS March 30, 2010 NYU Internet Marketing Strategies Tuesday, March 30, 2010

Upload: joemefford

Post on 09-May-2015

399 views

Category:

Documents


1 download

TRANSCRIPT

Page 1: Web Analytics Spring 2010

WEB ANALYTICSMarch 30, 2010

NYU Internet Marketing Strategies

Tuesday, March 30, 2010

Page 2: Web Analytics Spring 2010

Goal of Most Marketing Sites

E-Commerce - Amazon, Sephora, Buy.com, Screenstyle

Lead Generation - Insurance, Service Companies, Real Estate

Advertising - YouTube, CollegeHumor.com, HuffingtonPost.com

Tuesday, March 30, 2010

Page 3: Web Analytics Spring 2010

Web Analytics

Web Analytics Measures the Performance of Your Website and all Online (and perhaps Offline) Marketing and Advertising Efforts

We Measure the Website using KPIs. Key Performance Indicators.

Tuesday, March 30, 2010

Page 4: Web Analytics Spring 2010

Key Performance Indicators (KPI)

Increasing Number of Visitors

Higher Conversion Rate (Transactions/Visitors)

Increasing Revenue

Increasing Number of Subscribers to Newsletter

Increasing Number of Demo Downloads

Tuesday, March 30, 2010

Page 5: Web Analytics Spring 2010

Define your goalsI want to get more __________

SalesLeadsEmail signupsPhone CallsViewers

Tuesday, March 30, 2010

Page 6: Web Analytics Spring 2010

PRR – Project Rate of Return

How much money can you spend on internet marketing to remain profitable?15%? 25%? 10?

For every dollar you spend on marketing efforts, what is your revenue goal?Better than ROI because ROI negates expenses such as overhead, salaries, etc.

PRR is generally determined by Finance but you can use industry best practices also.

Tuesday, March 30, 2010

Page 7: Web Analytics Spring 2010

AO – Average OrderAverage Order should increase

Raise pricesIncrease average # of items

You may also like:Complementary products e.g. shoes and socks

UpsellFor just $50 more you can double your memory

You can assign dollar values to leads, phone calls, email signups, downloads, etc.

Tuesday, March 30, 2010

Page 8: Web Analytics Spring 2010

(LV)Lifetime ValueMultiply AO (Average Order) by number of annual purchases and/or length of customer relationship.Big stores like Amazon and Zappos know you’ll probabl come back over and over again. So your lifetime value is high.Hair salons, gyms, yoga studios, and many service companies should also focus on lifetime value.

Tuesday, March 30, 2010

Page 9: Web Analytics Spring 2010

CPA – Cost per ActionHow much money can you spend for each completed action by a visitor to your website?Multiply LV x PRRExamples: A health club has a 1-year contract of $1000. The average member leaves after 1.8 years so the LV = $1800. The PRR is 15%$1800 x 15% = $270 CPA

Tuesday, March 30, 2010

Page 10: Web Analytics Spring 2010

ConversionHow many leads out of 100 convert to your goal?100 people click on your display ad. 10 purchase a product. 10% conversion.1000 people visit your site after hearing a radio spot. 10 call you and 1 person becomes a cutomer. 1% conversion.

Tuesday, March 30, 2010

Page 11: Web Analytics Spring 2010

Cost per LeadHow much can you spend per lead and remain profitable?Multiply the conversion rate by CPA.From an earlier example, the health club has a CPA of $270. If a conversion rate is 10%, then the club can spend $27 for every lead.

Tuesday, March 30, 2010

Page 12: Web Analytics Spring 2010

AMAT

ACQUIRE VISITORS

MEASURE INTERACTIONS

ANALYZE RESULTS

TEST IMPROVEMENTS

Tuesday, March 30, 2010

Page 13: Web Analytics Spring 2010

What is the ROI of measuring your ROI?

Assume your site gets 100,000 visitors a month and your conversion rate is 0.5% with an average $ of $200. Your site makes 500 * $200 = $100,000 per month.

Assume you can make changes that raise your conversion rate to 0.7% with an average $ of 220.

Your site makes an average $154,000. Extra $54,000 per month.

Tuesday, March 30, 2010

Page 14: Web Analytics Spring 2010

Conversions3% Example

Visitors = Potential Conversions

Bounced VisitsNon-Bouncing Visitors

Abandoned3%

Tuesday, March 30, 2010

Page 15: Web Analytics Spring 2010

Enterprise Leaders

Omniture

Unica

Coremetrics

Tuesday, March 30, 2010

Page 16: Web Analytics Spring 2010

Small to Midsize Businesses

WebTrends (also Enterprise player)

Google Analytics

Yahoo! Analytics (formerly Index Tools)

ClickTracks

Tuesday, March 30, 2010

Page 17: Web Analytics Spring 2010

Things that Can Go WrongCode Installed Incorrectly

Firewalls can block tags

Some tags only measure when pages are requested and not when activities are completed.

Corporate sites block cookies

Same visitor logs in from multiple computers

One IP address for multiple persons

Robots can multiply figures

Cookies Expire (long purchase cycle business is skewed)

Tuesday, March 30, 2010

Page 18: Web Analytics Spring 2010

E-Commerce KPI(How does website perform?)

Visitor Volume

Average Conversion Rate

Average Order Value

Average Per Visit Value

Average ROI

% Revenue from New Visitors

New Customer on First Visit Index

Tuesday, March 30, 2010

Page 19: Web Analytics Spring 2010

Marketer KPI(How does marketing perform?)

% Visits by Medium Type

% Goal Conversion Rate by Medium Type

% Visits by Campaign Type

%Goal Conversion by Campaign Type

Goal Conversion Index by Campaign

Average ROI by Campaign Type

% New vs. Returning Visitors

% New vs. Returning Customers

Tuesday, March 30, 2010