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Web Analytics Deep Dive #SESSF Garry Przyklenk, Manager, Analytics Implementation (@gprzyklenk)

Web Analytics Deep Dive - SES San Francisco

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Page 1: Web Analytics Deep Dive - SES San Francisco

Web Analytics Deep Dive#SESSF

Garry Przyklenk, Manager, Analytics Implementation

(@gprzyklenk)

Page 2: Web Analytics Deep Dive - SES San Francisco

@gprzyklenk

Keys to “insightful” insights

Tried and true approaches:

Filter, group, then segment

If… then… analysis

Derive business value

Get closer to the customer

Integrate data sources

In general,

build a data-driven culture!

Page 3: Web Analytics Deep Dive - SES San Francisco

@gprzyklenk

Filtering and grouping

Any web analytics platform won’t be perfect, so a certain level of filtering and grouping is required:

Filtering can be used to: Clean up data integrity issues Move beyond the “top 10” or “top50” entries Example:

TD has 60,000 employees and filters internal IP’s from logging information in Omniture SiteCatalyst.

Groupings can be used to: Simplify extremely granular data Build complex segments effectively Example:

Referring URL values can be grouped to go beyond the standard types, such as “internal referrer” and “external affiliate”.

Page 4: Web Analytics Deep Dive - SES San Francisco

@gprzyklenk

Extreme segmentation!

Visitor type Prospect/New Customer Affiliate Employee

Source PPC SEO Social Media External Display Ad Internal Display Ad Affiliate

Visitor intention Research Purchase/Broker Renew Transact

Product engagement Core accounts Credit cards Lending (credit line/mortgage) Investing Insurance Business banking

Page 5: Web Analytics Deep Dive - SES San Francisco

@gprzyklenk

YES, YES IT IS…Isn’t that really hard?

Page 6: Web Analytics Deep Dive - SES San Francisco

@gprzyklenk

Pivot tables are awesome

Source Visitor Type Intention Product Visits Conversions Transactions

PPC Prospect Research Credit CardSavings Account

8 1 0

Internal Display Ad

Customer Transact Mortgage 5 1 4

Social Media Affiliate Broker Mutual Funds 35 0 8

Direct Employee Research None 55 0 3

Do we actually do this? Yes, yes we do.

Online sales reporting (Daily/Weekly/Monthly)

Public website reporting (Monthly)

Secure website reporting (Monthly)

Page 7: Web Analytics Deep Dive - SES San Francisco

@gprzyklenk

If…then… analysis

No one really cares about the metrics, but everyone cares about their bonus. That equates to defining and improving the funnel.

Send more traffic?Send more traffic?

Optimize landingpages?

Optimize landingpages?

Lower the riskprofile?

Lower the riskprofile?

Improve incentives?Improve incentives?

IMPACT

Page 8: Web Analytics Deep Dive - SES San Francisco

@gprzyklenk

Derive business value

Paperless Statements

Opportunity:

Saves the bank at least the cost of a stamp per customer per product per month

Reducing calls to the contact center due to lost paper statements

Customer benefit:

Improved customer experience with scanned checks in near-real-time

Freedom to bank anywhere, anytime on any device

Postage $0.45

Customers 1,000,000

Avg. # of Products per Customer

2

Yearly Savings $11 Million

Page 9: Web Analytics Deep Dive - SES San Francisco

@gprzyklenk

Derive business value

Where do you think the greatest opportunity exists?

Page 10: Web Analytics Deep Dive - SES San Francisco

@gprzyklenk

Get closer to the customer

Problem: web analytics can be complex to the business.

Solution: get closer to the customer.

Page 11: Web Analytics Deep Dive - SES San Francisco

@gprzyklenk

Integrate data sources

Page 12: Web Analytics Deep Dive - SES San Francisco

@gprzyklenk

Integrate data sources

Source Visitor Type Intention Product Visits Conversions Transactions

PPC Prospect Research Credit CardSavings Account

8 1 0

Internal Display Ad

Customer Transact Mortgage 5 1 4

Social Media Affiliate Broker Mutual Funds 35 0 8

Direct Employee Research None 55 0 3

Channel Source Visitor Type Intention Product Visits Cx Tx LTV

Branch PPC Prospect Research Credit CardSavings Account

8 1 0 $590,000

Phone Internal Display Ad

Customer Transact Mortgage 5 1 4 $250,000

Online Social Media Affiliate Broker Mutual Funds 35 0 8 $675,000

ATM Direct Employee Research None 55 0 3 $1,200,000

Page 13: Web Analytics Deep Dive - SES San Francisco

Thank You!

Questions?