As you may have read, I've just published a report entitled "Untangling the Attribution Web" (subscription required). In the course of researching that report, it became clear that, despite the many years of discussion surrounding what's commonly called "fractional attribution," there's still a dearth of organizations who have successfully implemented a measurement approach beyond legacy last-touch allocation methods. Financial services firms get close, especially those who are using marketing mix modeling. And a handful of retailers are executing a cross-channel attribution strategy, but many of them are still battling inconsistent metrics and channel conflict. So we found ourselves wondering why adoption of such a critical business initiative has stagnated.
As a result, we've created a very brief survey for attribution vendors and multichannel marketers to help us assess the current state of attribution. The survey will give us some visibility into the key challenges and opportunities surround attribution, and why its adoption is lagging. And, it will help guide our next report, wherein we'll provide an organization readiness assessment for attribution, and lay the framework for its successful implementation.
Please take five minutes to complete the survey; all responses are anonymous and only reported in aggregate. The next report will go live late this month or early in January, and participants will receive a copy of the published report.
I was on client calls most of the day, and when I came up for air in the afternoon to check my RSS reader and Tweetdeck to see what what going on in the world I made a fascinating discovery. Like many of you I came across the following post from the Google Analytics Blog:
This was most unexpected, and my Thursday suddenly got alot more interesting.
Before we go any further let me state that I have not been briefed by Google on this news item. This post is purely based on my own initial thoughts on the matter.
The blog post announces Google's plans to release a browser plug-in that would allow consumers to opt-out of Google Analytics tracking. This offering is still in development, and the post offers no specifics on the release date, although it implies that this is only weeks away.
(Side note: It is also interesting to note the language used in the post. The post leads with "As an enterprise-class web analytics solution..." This isn't a surprising or entirely inappropriate assertion, but it strongly implies Google's aspirations for GA.)
There are many reasons why Google's course of action is counterintuitive. Naturally, the marketer in me recoils at the idea of voluntarily allowing measurable data to slip through our hands. Rationalizing web analytics data is already hard enough, and now this? And we can certainly debate the true privacy impact of web analytics on consumers.
Coming to you live this morning from the kick off keynote of the Adobe (nee Omniture) Summit in Salt Lake City. And I'm pleased to report that so far the event is as thumping and hued in neon green as in years past.
A nice change from past summits: Instead of discussing developments to Omniture's online marketig technology, today's Omniture keynote by Josh James is themed around "The New Principles Of A Successful CMO." These are Josh's principles for how marketing execs can succeed.
Recently I saw a preview of Eloqua’s spring release and it got me thinking about the role lead scoring plays in determining campaign effectiveness. I hadn’t seen the product in a while and was impressed with the UI improvements the Eloqua team has produced. They have added new capabilities for delivering highly personalized direct mail, SMS/voice reminders, and on-demand fax and RSS delivery – interesting stuff that, while I’d need to talk to a client or two to be convinced of their specific usefulness, show that Eloqua is delivering a broader range of lead nurturing, drip marketing capabilities. Lastly, new campaign design UI will help shorten the time it takes to get first campaigns up and running.
Here’s a question that crops up more and more frequently. Forrester B2B marketing clients want to know “What are the average conversion rates for leads to opportunities and opportunities to sales in......?” You can fill in the blank with:
Industry: high tech, financial services, healthcare etc. Tactic: email marketing, paid search placement, direct mail postcards, etc. Size: small businesses, enterprises, firms over $250M in revenue, etc. Product type: durable, consumer, high technology, software, etc. Channel: direct sales, telesales, distributors, resellers, etc.
And create a tremendous array of opportunities to research. Opportunities so vast it boggles my mind, and makes me wonder how Forrester might provide this kind of information on a reliable, relevant basis at minimum cost to ourselves and our clients.
In the spirit of exploring this dilemma further, I’d like to hear from our blog readers – B2B in particular – on these two questions:
1) What specific sources of information have you found for these types of benchmarks? (Go ahead and mention competitors, you won’t hurt my feelings…) And how detailed, or reliable, do these sources need to be?
We recently participated in a panel on marketing measurement for the Massachusetts Innovation & Technology Exchange and it got us to thinking about all the hubbub around marketing measurement and analytics today.Everyone is talking about it.Everyone has vast quantities of data.And yet despite the increased sophistication of measurement tools and practices, the debate about how to really do it continues.No one has yet come up with an answer to the question: How do you measure marketing?Here are just a few thoughts on why this is and what marketers can do about it: