I cut my teeth as a data analyst helping brands communicate more effectively—building segmentation and targeting models that differentiated contact frequency, offers, and messaging across a brand’s customer base. But in the face of today’s more empowered customers building static scoring models and relying on batch-based campaigns is insufficient to win, serve and retain customers. Today most enterprises rely heavily on technology to help them interact with customers across channels, and as we evaluated in the newly published Forrester Wave: Cross Channel Campaign Management, Q3 2014, brands have several compelling choices.
We identified, researched, and scored solutions from nine vendors: Adobe, IBM, Infor, Pitney Bowes, RedPoint Global, SAP, SAS Institute, SDL, and Teradata. Our approach consisted of a 41-criteria evaluation; reference calls and online surveys of 96 companies; executive briefings; and product demonstrations.
We identified four leaders in this mature, but evolving category. What sets leaders apart?
Depth of cross-channel capabilities. Leaders consistently received high scores in cross-channel data integration capabilities, which includes cross-channel customer identification and centralized response history management. But the purpose of collecting this data is so marketers can make smarter—more customer obsessed—decisions. Not surprisingly then, leaders also receive high marks in areas of interaction management such as cross-channel decision management and real-time analytics.
Today, both Jive and Salesforce announced updates to their customer community offerings. Although their updates do not include any groundbreaking innovations (where is McKayla Maroney when you need her?), I find it interesting that Jive and Salesforce have significantly dialed up their marketing efforts for their external-facing community solutions. Historically, both vendors have primarily focused on their internal enterprise community tools and seemed to be on a gradual trajectory to building out their external customer-facing community products. Today's announcements reflect my position that customer communities are becoming the tour de force of social marketing strategies. In fact, last year we published a Forrester Wave that evaluated the ecosystem of community platform vendors in which Lithium was the leader. In that report, I discuss how brands will increasingly seek out the best-of-breed social depth tools and/or enterprise community platforms that facilitate digital interactions with their prospects and customers — on their owned web properties. In response to this demand, Jive, Salesforce
It’s with great pleasure that I announce the agenda for Forrester's Forum For Customer Experience Professionals in Anaheim, CA, on November 6 & 7. We’re mixing things up this year — new formats for speakers, new hands-on, activity-based workshops in addition to track sessions, and a stellar gallery of guest speakers. And we’ve wrapped all of this up with an overarching theme: “Why Good Is Not Good Enough.”
We picked this theme because our Customer Experience Index (CXi) told us to. Seriously. Check this out: According to the latest CXi, the number of brands scoring in the “very poor” category is down to one out of 175. What’s more, only a handful of brands — 10% — are in the “poor” category. Together, these findings show that as customer experience improvement efforts gained momentum over the past year or so, the number of truly awful experiences declined, dramatically. That’s reassuring. Kudos to all the businesses out there that screw up less!
Now for the sobering news: Only 11% of brands in the CXi made it into the “excellent” category.
What that means of course is that most brands are clustering in the middle of the curve — they’re not awful in the eyes of their customers, but they’re not remarkable either. Translation: A merely good customer experience is no longer good enough if you want to deliver a differentiated experience and reap incremental sales, positive word of mouth, and better customer retention. You’re gonna have to raise your game.
In his excellent book, The Checklist Manifesto, Atul Gawande makes a compelling case for the power of simple checklists to avoid issues and mistakes during the decisioning process. Gawande's thesis is essentially this: A consistently applied, step-by-step checklist can be enormously valuable for a range of professionals from doctors to software designers to executives at major companies.
Add to this group the lowly mobile banking strategist.
Depending on the viewpoint of your favorite economist, the recession may be over. But retail growth is far from buoyant in many markets. The UK retail sector shows healthy signs of recovery, while US consumers seem be less confident. There are numerable success stories; John Lewis passed the £1bn online revenue mark this year, while Macys is in its fifth year of double-digit online growth, in spite of a slightly shaky offline performance. But as an eBusiness leader, no matter what your local market conditions, I’m willing to bet one thing.
Your growth targets haven’t gone down.
For many years, growing online revenues has been a core strategy for most B2C firms, and many B2B firms are also riding the eCommerce wave. But as markets become crowded and competition becomes tighter, globalization is an increasingly attractive option for eBusiness professionals. With southern European markets seeing online growth rates in the high teens and even bigger opportunities like Russia and China on the global horizon, it’s no surprise that an international strategy is high on the agenda for many eBusiness leaders.
Right before school started last year I bought my son a new Dell laptop, a Windows 8 machine with a touchscreen. He loves it.
Fast forward to a month ago when our family rented a vacation house. My son brought his laptop along so he could play DVDs on it – online gaming was right out because we had purposefully rented a house with no Internet connection so we could unplug from work.
The first time my son tried to log on he found that Windows did not want to accept his password because he was not online. I’m going to skip the lengthy explanation of why this is not supposed to happen, why it happened anyway, all the things we tried to do to fix the problem ourselves, etc. (Maybe they’ll end up in a different post – who knows?)
Suffice it to say that since the laptop was still under warranty, and the problem seemed simple enough, I decide to call Dell. I assumed they’d encountered this situation a million times and could tell me a fix in their sleep. Well, I was wrong. After talking to five different people (could have been four, could have been six, I lost count after a while) I realized that I had made a mistake and hung up on the hold music.
Since I hate to let an interesting customer experience go to waste, though, I’d like to offer some hopefully helpful advice to the Dell customer service people – because, in fact, we do like that machine we bought from them and would love them to be around for our next laptop purchase. With that in mind, here are my top suggestions for the people who tried to help me as well as anyone else who runs a customer service operation.
Forrester surveys in China show that business data and analytics are increasing as the No. 1 technology priority for Chinese businesses; 55% of technology decision-makers in the country plan to use data and analytics to improve business decisions and outcomes in 2014, up from 43% in 2013. Chinese digital marketers are looking for powerful tools to better understand customer behavior, especially regarding customer acquisition. Businesses in industries like banking and financial services, telecommunications, and retail understand that data and analytics are critical for enabling business transformation — but they have struggled with a lack of data and analytics tools in the market.
The supply side of the Chinese customer analytics market is fragmented and includes a confusing mix of global and local providers. Most customer analytics solution providers started doing business in China in the early 2000s, when the country became much more open to foreign capital. Companies like Procter & Gamble and Coca-Cola introduced new marketing concepts and became the first to use customer analytics solutions in China. To serve these global companies, leading analytics vendors like FICO, IBM, Oracle, and SAS successfully built up their analytics businesses and extended them into local Chinese markets. Increasing demand for analytics also compelled local vendors like Alibaba and Baidu to start providing customer analytics solutions in China. My latest report, “The Customer Analytics Market in China,” profiles these customer analytics providers in four categories to ease your decision-making on vendor selection.
I hear so much about how modern marketers are now content publishers and getting better and better at being able to engage with buyers much earlier in their buyer journeys – but what about your poor sales people? My experience from almost all of my client engagements is that many content marketers forget about them and ended up producing yet more “random acts of marketing” which ignore the sales enablement imperative. I remember asking when I presented “A Valuable Message Framework” at our Sales Enablement Forum back in March:
· “Do you let your sales people know what content is out there so that they can leverage it and distribute it for you?”
· “Do you want them meeting a customer and hearing what content they have already seen, and being surprised”
· “How do get feedback on your content?”?
Not a great contribution from marketing to the total customer experience - which definitely involves a sales conversation for some type of product or service (see last week’s blog).
The acquisition of [X+1] by Rocketfuel signals the beginning of the end for “programmatic” ad networks. Since the industry’s shift to programmatic, countless ad networks have changed how they market themselves, adjusting their sales language to mimic legitimate programmatic platforms. The “programmatic” ad network insertion order-based and flat-rate business model has prolonged the black box opacity that spurred the need for demand side platforms and exchange based media buying. It’s only fitting that one of the industry’s most successful “programmatic” ad networks — Rocketfuel — is addressing client demand by making a move that launches them into the digital marketing SaaS market.
There is a lot to be said about the success that Rocketfuel has had in the industry; they have done great things for marketers looking to automate audience prospecting and retargeting. They certainly have done an amazing job marketing their programmatic chops, with the success of their AI product and their success with agencies running performance based campaigns. Their recent revenue growth and the fact that Rocketfuel had the capital to acquire a DSP/DMP in [X+1], are testaments to the success that they have had in the industry.
Despite their success, prolonging opacity for marketers in this market is a short-term strategy, and Rocketfuel is positioning itself for long-term success.
Coming from the agency trading desk world, I did not partner with Rocketfuel for several reasons:
Rocketfuel works with marketers and agencies on a flat-rate business model, which is aligned with traditional ad network buying.
Beacons have a great deal of disruptive potential as they bridge the digital and physical worlds. I quite like this quote from Steve Cheney, SVP at Estimote: “Beacons as a platform are really a wedge into ‘appifying’ the physical world. They give context to a physical space. They are a way of actually extending the network intelligence to the edge again, something that has been missing since the desktop era. Beacons are truly a way of giving your smartphone eyes—place dumb signs around you and let your phone discover and read them.”
Beacon technology offers new opportunities for marketers across a wide range of industries and verticals. In particular, they enable marketers to:
Engage consumers in their mobile moments via in-app interactions.
Improve the customer experience.
Understand customer behaviors by leveraging analytics.