Why, in Web analytics, does no one ask, "Why?"
Marketers are venturing into new, unfamiliar territories, juggling multichannel strategies, allocating ad dollars among media, and trying to maximize new technologies, all at a time when consumers seem to find it easier than ever to bypass and ignore those efforts. These are just a few of the challenges.
Though marketing choices have increased, ad budget dollars haven't. The answer can't be to A/B test everything and see what sticks. Even with an infinite budget, do you really want to just throw anything up against the wall?
Great marketing has always been tough, though never as complex as it is now. In a world of thousands of marketing allocation and messaging choices, businesses require a methodology for modeling customer behavior if they're to maintain a lead. Persuasion architecture methodology will guide them in planning and prioritizing marketing tactics and leave no customer modality behind. Still, that's not enough.
As traffic costs inflate, accountability increases too. Persuasion scenarios, what used to be called "marketing plans," must be accountable. Just as planning a robust scenario requires a willful, thorough execution, we must move beyond reporting metrics to actually analyzing data. The goal isn't to simply jockey reports but to determine why behaviors occur.
Get Results, Ask Why
I talked to Jim Novo, author of "Drilling Down: Turning Customer Data into Profit with a Spreadsheet," recently. Here's what he had to say:In the Taguchi/multivariate world, everyone seems to be asking for that black-box answer, and there is no learning taking place. So continuous improvement will hit the wall. There will only be wildly random testing across hundreds of variables that produces suboptimal improvement.
Just as there's no marketing black box, there's no magic machine that spits out optimization answers. Like anything else worthwhile, strong marketing and successful analysis are fueled by sweat. When was the last time you found a product online you were ready to buy, only to look at the "add to cart" button, and say, "No, I don't like the shade of blue of this button. I'm going to find a site with a green button and buy there"?
Measuring Persuasion Scenarios
Persuasion scenarios, as I outlined last time, are designed to be measurable and accountable to business goals.
I asked John Quarto-vonTivadar, author of the forthcoming book, "Persuasion Architecture," to explain further:In order to achieve both measurability and accountability, we have to know where we're at and plan where we're headed. Too often the marketing plan is at odds with the sales plan. Marketing gets the consumers aware and then the sales team doesn't follow through. Or the sales team has a specific organized plan for selling, and no one tells the marketing team.
I know one or two readers are many steps ahead. They're now questioning the underlying assumptions of your marketing efforts. Is it you? Did you begin thinking, "Just because I improved, it doesn't mean I planned. So now what? How do I continue to improve?"
Congratulations you two (and your companies). You're the long-term winners. Planning is first and foremost. From it flow effective measurement and continued improvement. That's persuasion architecture's focus.
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Bryan Eisenberg is coauthor of the Wall Street Journal, Amazon, BusinessWeek, and New York Times bestselling books "Call to Action," "Waiting For Your Cat to Bark?," and "Always Be Testing." Bryan is a professional marketing speaker and has keynoted conferences globally such as SES, Shop.org, Direct Marketing Association, MarketingSherpa, Econsultancy, Webcom, SEM Konferansen Norway, the Canadian Marketing Association, and others. In 2010, Bryan was named a winner of the Direct Marketing Educational Foundation's Rising Stars Awards, which recognizes the most talented professionals 40 years of age or younger in the field of direct/interactive marketing. He is also cofounder and chairman emeritus of the Web Analytics Association. Bryan serves as an advisory board member of SES Conference & Expo, the eMetrics Marketing Optimization Summit, and several venture capital backed companies. He works with his coauthor and brother Jeffrey Eisenberg. You can find them at BryanEisenberg.com.
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IBM Social Analytics: The Science Behind Social Media Marketing
80% of internet users say they prefer to connect with brands via Facebook. 65% of social media users say they use it to learn more about brands, products and services. Learn about how to find more about customers' attitudes, preferences and buying habits from what they say on social media channels.
An Introduction to Marketing Attribution: Selecting the Right Model for Search, Display & Social Advertising
If you're considering implementing a marketing attribution model to measure and optimize your programs, this paper is a great introduction. It also includes real-life tips from marketers who have successfully implemented attribution in their organizations.
October 23, 2014
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