Category Archives: Web Analytics

Lab Store: Year End Analysis

DataBase Marketing, Lab Store, Marketing thru Operations, Web Analytics

Some stats from the Lab Store (Background) for the year:

Processed 10,172 orders, up 3% from last year, despite a logistical problem in the business model we did not have control over (breeding of animals).  Fixed that, so should not be an issue going forward.  Merchandise Return Rate of .3% on dollars, which is quite low.

Returns cost money to process, imply negative Social feedback, and increase customer defection by creating poor experience.  We do everything we can up front to keep returns and other negative experiences from happening in the first place by screening products and actually taking action on customer feedback and analysis.  Often, we modify packaging, create our own instructions, or assemble products we know people will have trouble with.  More on this idea here: Marketing through Operations and Panic Pack!.

We retained between 75% – 87% of our best buyers depending on what time frame you use, and further improvement in these stats is pending test results.  More on this idea here: Frequent Buyer Analysis.

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NCDM 08: What was Hot?

DataBase Marketing, Measuring Engagement, Web Analytics

With two very intense days of 5-track sessions going at NCDM 08, it was difficult to pay attention to everything that was going on.  Still, by picking up handouts from sessions I did not go to, I could get a sense of what the hot topics were this year:

1.  Web Plays Data Friendly – Almost every session had a web component in it, the BI folks are getting it done.  The data is coming off the web / out of web analytics and into the data warehouse so everybody knows what is really going on. 

Much of this work is being done by the big service bureaus, not the companies themselves, as far as I could tell.  Web Intelligence, baby.

2.  Media Mix Models – which typically show online Display advertising as a poor choice for allocating marketing budget to when you are also running offline media; the yield is quite poor versus almost every other media.  Search, as you might expect, Rocks on Productivity, though TV still rules for Productivity and moving the needle.

The implication here is you’d be much better off running TV to generate / amplify Search behavior than running Display to do the same.  Offline for Awareness, Online for Intent / Desire. 

3.  Contact Optimization – I’ve written before about what ultimately happens when you don’t have a Contact Strategy.  At some point, BI will measure the bottom line impact of every division in the company pounding customers with the division’s own contact strategy (Hint: you are driving your customers crazy).  Then, move all customer contact to a centralized model which controls contact by source of new customer and value generated, measured through controlled testing.

This movement should not be surprising, given the whole “customer in control” and “social” movements which onliners give so much lip service to but never take action on.  Well, not never, but rarely.

4.  Measuring Engagement – yes, Engagement.  OFFLINE, as well as online.  The overwhelming message was this: it does not make any sense, and actually costs you money, to keep pounding your customers with any kind of communication when they don’t respond / interact.  You can measure dis-Engagement, and when you see it, you should stop communicating – online or offline. 

And these folks proved it, over and over, with real math.  See related #3 above.  If you’d like to see a detailed e-mail example of this concept, check out this case study.

And of course:  Models and more models.  Like Hierarchical Bayesian and Disaggregate Discrete Choice.

Boy, I love it when you talk like that.

 

doterati Event 12/10

Web Analytics

Speaking of the NCDM show, old friend Sally Krumholz, who I knew through the Internet Oldtimers Foundation, has convinced me to do a gig while in Orlando.  I’ll be speaking to (the?) doterati, Central Florida’s interactive marketing, media and technology association Weds 12/10 at 6 PM.  Details here.

The topic is What Can Web Analytics Do for You?  Not the advanced class for sure, this presentation is really about moving from Reporting to Analysis – aligning KPI’s with business goals and taking action on the data.  Sally figures that’s about the level the average doterati member is at – they run reports, but they’re too busy doing everything else to really get into the KPI and Action phase.

Of course, I’ll also let them know about the Yahoo Web Analytics list, the WAA, the UBC / WAA courses, the books, etc.

But, if you’re a web analytics Pro, there still may be a reason to stop by – I hear this event may be a warm up for the area’s first Web Analytics Wednesday.  So a strong WA Pro showing would help push that idea along, if you’re interested.

Hope to see ya there!