Data Strategy Can Help Best Amazon With Holiday Buyers

Retailers complain that Amazon e-commerce gobbles up more holiday dollars each year. In fact, Amazon is now the primary gift destination of 42% of U.S. shoppers, per recent research by Signal, a marketing tech and data platform company. Is there any way to compete with the Amazon Goliath? Yes--if retailers know how to weaponize their customer data, argues Signal's CEO Mike Sands in a recent article for Marketing Land. Sands suggests three data-driven strategies for competing with Amazon this holiday season. Sands points out that while Signal's research shows Amazon is a primary buying source for a chunk of consumers, Amazon is NOT the primary gift destination for another big group (40%). Retailers can use customer data to successfully woo those customers, Sands argues. Compared with Amazon, retailers have access to more first-party data across channels and devices via sales, customer service, loyalty programs, marketing and promotion channels, and interactions with store associates. That extensive customer data from multiple channels can by used to deliver relevant, targeted promotions that outdo Amazon's touted recommendations, which often miss the mark due to minimal customer knowledge. Using data-driven marketing, retailers also can leverage the omnichannel strength of multiple touch points to create a seamless, personalized shopping experience. "Gone are the days when holiday shoppers had to choose between the convenience of buying online from home versus the assurance of handling the product in a store. Now they can do it all — and they leave a rich trail of data every step along the way," Sands notes. He points to statistics showing that while consumers say they browse for holiday purchases most frequently on desktops/laptops (36%), they most frequently purchase gifts in stores (33 percent). Finally, since offer relevancy remains basic to wooing customers, retailers can use data-driven marketing to gain an edge over Amazon even in the digital arena. Some 43% of consumers surveyed still say digital advertising on websites or mobile apps influences holiday gift-buying. Retailers now can use addressable media for personalized, timely digital ad targeting by seeing customers as people not just impressions, notes Sands. Bottom line, retailers who make the effort to aggregate, clean, segment, profile and personalize omnichannel customer data can still enjoy happy holiday sales in the Amazon era. For Sands' full article, go to http://marketingland.com/3-retail-strategies-beat-amazon-holiday-season-182228

Data-Driven Marketing Power Drained by Basic Mistakes

Data-driven strategy is an ideal that many marketers, especially in the B2B world, have not fully mastered. For example, a 2015 survey of marketing professionals by Ascend2 and ZoomInfo found that only 33% of respondents called their data-driven marketing strategy “very successful.” The good news is that just 10% said their data strategy was somewhat or very unsuccessful. Still that leaves a lot of room for improvement! What's preventing marketers from maximizing data success? In a recent martechadvisor.com post, Hila Nir, vice president of marketing and product at ZoomInfo, cited the three most common mistakes sapping data-driven marketing potential, with a focus on business-to-business marketing. No. 1 is wastefully "throwing the net too wide" and hauling in confusion. While there is a mass of multi-channel data you can gather and analyze, only some data and patterns are relevant to marketing success. So where do you start? Nir advises going to the foundation of the customer relationship--the actual customer contact--and building from there. The No. 2 error is failing to frequently refresh customer and prospect data. Data value erodes over time as basics such as mailing address, job title, phone number and e-mail change. Customer Relationship Management (CRM) software that stores lots of outdated legacy data can make the problem worse. And maintaining data quality is a big job that only grows with the size of the database. That's why 79% of the most successful data-driven marketers in the survey said they outsourced some portion of data management. Finally, mistake No. 3 is simply failing to take full advantage of customer and prospect data to improve cost-effectiveness and ROI. Trying to find a path through the data weeds to ideal customer targeting can certainly be daunting and strain internal resources--which is also why many successful B2B marketing efforts turn to consultants for database analysis. Needless to say, DBM Designs is among the data service partners who stand ready to assist! For the full article, go to http://www.martechadvisor.com/articles/audience-market-data/3-mistakes-that-kill-any-datadriven-marketing-strategy/

Marketers Should Stop Snub of Third-Party Data

Many data-driven marketers seem to suffer from a costly bias that focuses on first-party and second-party data and gives short shrift to third-party data. For example, an April business2community.com report of the "Data-Driven Marketing Benchmarks for Success" study by Ascend2 and ZoomInfo shows that a company’s internal first-party data is used by 86% of data-driven marketers, but only 49% use data from marketing partners, 32% use data from channel partners, and a mere 27% use data from third-party vendors. Why the third-party data snub? Marketers may assume that first-party data is more powerful, but that power depends on data quality and completeness. In fact, third-party data has a vital role in enriching first-party data by adding key targeting information. Third-party data sets can be appended to first-party data to correct and fill in missing elements such as e-mail addresses, phone numbers, lifestyles, demographics, purchase indicators and more to strengthen customer insights. Second, while first-party data is more powerful for certain marketing goals--such as loyalty programs, targeting and retargeting existing customers, or profiling best customers--it's not going to provide a mailing list of new prospects for growth! Marketers can rent quality third-party data and segment these specialized data sets to target prospects by factors such as demographics or firm-ographics, trigger events, location, recency, purchase history, and more. Marketers also may assume that even second-party data from partners is of higher quality than third-party data. First, that ignores the inherited quality problems and integration issues of second-party sources. Second, more high caliber third-party data is available today than in the past. Marketers can further ensure third-party list quality by working with a data-independent provider, by selecting aggregated data from multiple quality sources and files, and by making sure all data is frequently updated and hygiened. For more on the power of third-party data for direct and digital marketing, read http://www.datasciencecentral.com/profiles/blogs/the-power-of-third-party-data

Want to Rev 2016? Commit to Data-Driven Marketing

Whether it's the latest digital marketing trend or traditional direct mail, bottom line success depends on smart use of targeted customer and prospect data. So for all those seeking growth and profit in 2016, we wanted to pass along five great data-driven marketing goals proposed by database marketing veteran Mike Ferranti, founder and CEO of Endai Worldwide, in a recent Target Marketing magazine post. Ferranti starts by urging investment in a scalable prospect database program, which requires mating transactional data about your best customers with other data about them (demographic, psychographic, behavioral) to find the most predictive factors for targeting prospects who will respond and convert into more good customers. His No. 2 suggestion is identifying the gold customers in your database for new loyalty programs to "retain and delight"--and that means going beyond personalized e-mail and a nominal discount now and then. A true investment in VIP customers pays big dividends. A third idea for data-driven growth is to use your analytics-optimized database to identify customer purchase patterns for targeting by next likely customer purchase (before competitors snatch a sale). Similarly, the database can be modeled for targeting by next likely product or segment purchase, timing to close gaps otherwise filled by competitors or lower-priced buys. Ferranti's fifth suggestion is aligned with all of the above: improved segmentation that structures for queries and segmented targeting to optimize sales from both existing customers and acquisition of new customers. Are these easy goals? Heck, no, but they pay off in terms of profit and sales growth--and we are ready to help any clients who want to get started. For more discussion, see the full post at
http://www.targetmarketingmag.com/post/5-data-driven-marketing-catalysts-2016-growth/

Survey Cites Obstacles to Data-Driven Marketing Success

Despite technology advances and the bounty of "big data," data quality remains the biggest challenge for data-driven direct marketing. Consider MarketingProfs' report on a new Ascend2 global survey of marketing, sales and business professionals. In terms of the most important goals of data-driven marketing strategy, personalizing the customer experience led the field (60%), followed by measuring data-driven ROI (51%) and targeting individual market segments (50%). Then when it came to the biggest obstacles to success, companies put front-end data issues ahead of back-end analytics by a wide margin. Improving data quality was ranked as the No. 1 challenge to data-driven success (59%), followed by integrating data across platforms (51%), raising the level of data analytical skills (38%) and measuring data-driven marketing ROI (37%). In fact, only 16% of respondents rated the quality of their marketing data as "very good," compared with the 27% who rated data quality as "somewhat poor" to "very poor." The majority (57%) called their data "somewhat good," which is just not good enough for the most cost-effective marketing results! For more from the survey, read http://www.marketingprofs.com/charts/2015/28904/data-driven-marketing-top-objectives-and-challenges