On Friday I attended Online Marketing Summit 2010 in Minneapolis. It was a very informative day and I highly recommend that you consider attending when it comes to your city. Adam Kahlow and team offers up great speakers (both local and national) and the opportunity to network with them.
Adam Proehl of NordicCllck Interactive talked about Why Web Analytics Fail Marketers (And How to Stop Failing)
I live blogged this, so please forgive the format. My comments are in parenthesis.
Marketing IS Sales (yes, yes!)
web –based leads are like printing money
- what’s happening with the leads? are they getting followed up on & converted?
– what are sales’ view of web leads?
Need to close the loop
Priorities –
– Facts & truths aren’t always right – numbers don’t always tell the truth
fuzzy numbers
- multiple platforms trying to measure the same thing
- do we know the real number?
- can we explain the why?
- How sound is the measurement methodology?
Sometimes things just don’t work –
tagging nightmares, site architecture issues, etc
High Level Corporate Initiatives
Company Objectives – you are touching many areas
Revenue, Operations, Stakeholders
(customer service, sales, marketing, communications, etc)
do you know where you fit into this? If not, then you’re setting yourself up to fail
There are plenty of analytics tools:
The tools don’t mean anything. (I have always said that, it’s not about the technology, it’s about the people)
Need to understand two things:
Know what your business objectives are.
What are your customers/prospects’ objectives (what point are they at in the buying cycle?)
- Understand your corporate goals – here are some examples
15% increase in revenue
10% decrease in customer service
The Rules in setting biz objectives
Be Specific – Be Measurable – Be Realistic (achievable) – Be Relevant – Set Timeframe
They need to fit into the strategic corporate goals
We want more leads. – not a goal
This is a goal: We want to see a 20% increase in new site registrations by the end of 2010
Don’t forget your customer’s objectives!
Why did they visit your site?
What are they doing on the site?
How did they get here?
What state of the buying cycle are they in?
What signals are they giving?
From a technical standpoint –
Always befriend people smarter than you (IT)
Outline business case
Examples and documentation
Persistent vigilance
have the technical requirements
Define Success early – before the project goes live
Metrics? how will we know if this is successful
Methodology? where will the data come from?
Benchmarks?
Get buy-in
Acknowledge the Fuzz – (things aren’t black/white anymore – yes!)
Open for interpretation?
Know why it’s fuzzy
Assumptions?
Site / Tracking “quirks”
“You’re never as good as bad numbers”
What web analytics is –
trending data
directional gauge
‘a’ measurement
What web analytics isn’t –
perfect
spot on accurate
—
Some goals –
Fail fast (do it early & learn from it)
Close the loop
get the value of the conversion
“Stack rank” – prioritize initiatives
Methodology matters a lot
Reporting –
Your boss & exec’s – provide a one page report
Finance – provide a one page report
Sales exec – one page – sales leads – have a continual conversation
Some useful & free tools
‘ Share this (free & integrates with Google analytics)
Snip-n-Tag (Firefox Add On) – URL shortener that creates campaigns works w/ Google Analytics
Better Google Analytics (Firefox Add on)
Enhanced Google Analytics (Firefox Add on)
Twitalyzer – integrates with Google Analytics – can see who is influencing
Bit.ly site – nice stats
Outbound Link Tracking – Google Analytics
Excellent Analytics (Excel Plug-In) – if you’re running the same queries (log into Google Analytics from Excel) — (that sounds kind of scary!
Rank Checker (Firefox plug in)
Key Takeaways
- Understand reasons for failure
- Involve the key stakeholders
- No one tool can measure everything – understand limitations
- Fundamentals matter the most (biz objectives, methodology)
———————–
It was an excellent session and underlines how Alterian’s Web Journey fills a gap in providing information to marketers beyond traditional web analytics about the interaction that consumers are having with their web pages.
What are your challenges with web analytics?