Data-Rich Segmentation Revs Nonprofit Mail Results

Effective data use is key to nonprofit direct mail success, yet some fundraisers question the need for a more sophisticated data approach, of course. So we'll pass along a recent NonProfitPRO blog post by Chris Pritcher, of Merkle's Quantitative Marketing Group, which challenges overly narrow views of donor data. Too often, using data to understand the donor base is limited to one of two categories, Pritcher notes: 1) RFM (recency, frequency, monetary) data and giving history, or 2) donor demographics and behavioral measures, ranging from factors such as wealth or related interests/purchases to applying behavior-lifestyle systems such as Prizm. Whether the data is first-party or third-party sourced, each approach has its limitations. RFM often silos data from a single channel, for example, even though donors live in a multi-channel world. RFM also focuses mainly on short-term financial action, ignoring donors, especially Millennials, whose giving is maximized through an interactive, long-term relationship. Meanwhile, though donor demographics can help avoid low-opportunity lists and segments, demographics in isolation may be too general for effective response targeting. Wealth data indicates who has money but not who is willing to give that money to a specific cause, as Pritcher points out. Pritcher urges fundraisers to embrace "multi-dimensional segmentation" over the either/or data approach above. Nonprofits can analyze donor actions (both financial and non-financial) along with data such as demographics, wealth, donations to other organizations, etc., to create more actionable segments. For some basic tips for multidimensional segmentation success, see our complete post at http://www.acculistusa.com/fundraising-mail-benefits-from-data-rich-list-segmentation/

Predict Your Marketing Plan Fate (Sans Crystal Ball)

It's that scary time of year when many marketers finalize plans for 2015 success, and Halloween celebrates a very different kid of future insight via black magic, spirit guides, tarot cards and the like. Now Marketo brings together those two disparate seasonal themes with "What's in the Cards," an infographic of the three factors most predictive of a marketing plan's fate, based on interviews with 400 marketers. Planning Secret No. 1: "Write Your Marketing Destiny," meaning generate a documented plan of action, clearly stating strategy and tactics, with stakeholder buy-in and individual accountability. You'll be joining 66% of marketers interviewed, who use a shared planning document to dodge the most deadly marketing failures, including constantly changing directions and priorities, lack of coordination within the marketing team, and lack of coordination between marketing and other teams. No. 2: "Add a Mix of Techniques and Channels," ranging from e-mail, social and pay-per-click to offline events. Get the right mix by analyzing audience preferences and behavior and then, of course, testing and measuring. No. 3: "The Right Calendar Makes You a Mind-Reader." Two-thirds of marketers interviewed stressed the importance of a marketing calendar, ranging from high-tech online tracking to simple whiteboard. Top calendar requirements cited were easy movement of activities, tracking of tentative vs. confirmed activities, filtering by attributes (channel, product, audience, segment) and a view of the metrics per program. Share Marketo's infographic Halloween treat with marketing team members by going to http://blog.marketo.com/2014/10/infographic-whats-in-the-cards-decide-your-marketings-fate.html

Is Your Marketing Hobbled by These Data Missteps?

Make sure your "data-driven" marketing isn't undermined by data mishandling. A recent Adweek article outlined five of the most common blunders. At the top of the list is failing to take advantage of the deeper demographics being culled in this big-data era. Going beyond age and gender can reap big returns. An example from the article: The Neustar Global Media Intelligence Report for 2013 found retail marketers that targeted campaigns according to attributes like home value and brand of car earned a 500% performance lift over non-targeted campaigns. Second, marketers can focus on the wrong metrics, choosing "vanity metrics," such as Facebook fans, instead of behavioral data linked to conversions, such as navigational paths and brand preferences. A third data misstep is focusing on shiny new digital data without integrating offline inputs (such as retail stores), creating a false picture of marketing's multichannel ROI. Fourth, marketers can get stuck looking at past data to the neglect of predictive modeling and forward planning. A forward-thinking success story from the article: American Express used predictive analysis and behavioral data to identify at-risk customers, for a 740% increase in attrition-combating efficacy. Finally, organizations can fail to invest in crucial data management and analysis skills, and surveys of executives find a majority admitting as much. Do you recognize areas for improvement in your own organization? For the complete article, with links to relevant studies, see http://www.adweek.com/brandshare/5-ways-marketers-are-mishandling-data-156449

Is Digital Age Changing Consumer Research Rules?

Be cautious about using traditional market research to guide a major consumer product change. That's the warning from the new book Absolute Value by Itamar Simonson and Emanuel Rosen. The authors take a Universal McCann study of consumer interest in the first iPhone as an object lesson in why research can miss the mark in predicting consumer behavior today: That study found that an iPhone-type product would be a hit in countries like India and Mexico but not in the United States, Germany and Japan. What went wrong? Why are consumers unreliable predictors of their own behavior? The problem, note the authors, is that traditional market research looks at prior preferences, beliefs and experiences, while future consumer buying decisions about a new product (one that involves more than tweaking an existing product) are affected by a mass of noisy, ever-changing inputs in today's digital age -- such as online user reviews, friend and expert opinions, price comparison tools, and emerging technologies or sources. If consumers are bad at predicting their own preferences, market "experts" are no better, the authors add, pointing out that many experts failed to predict the success of the telephone, television and Internet. Should marketers abandon market research? No, they should change focus, advise the authors. Instead of trying to predict long-term consumer preferences, researchers can go with the digital flow and track consumer trends and decisions on review sites, user forums and other social media -- so businesses can respond with better solutions. Simonson is a professor of marketing at Stanford Graduate School of Business, and Rosen is author of The Anatomy of Buzz. For more on their book Absolute Value, see the news release: http://www.gsb.stanford.edu/news/headlines/itamar-simonson-emanuel-rosen-how-digital-age-rewriting-rule-book-consumer-behavior