Many clients have asked me this question, following it up by asking how to extend their web analytics capabilities to mobile in China. It’s not always an easy job. Marketers in China are becoming more familiar with web analytics tools to leverage internal customer data and external data from sources like social media to understand online customer behavior. Most use local web analytics tools like Baidu Statistics or Alibaba’s cnzz.com and are starting to engage with global vendors like IBM (ExperienceOne) and Adobe’s Omniture, but don’t know if effective mobile analytics solutions exist. Marketers in China face challenges in recognizing customers on mobile and analyzing, managing, and monetizing mobile data:
Marketers have difficulty identifying customers on mobile before they log in. Campaign management tools help marketers collect mobile device IDs or even sensitive information like mobile phone numbers. These tools are still web-like in that they can’t identify users until they log in. The marketing manager of one CPG company has made the reorganization of mobile users one of its mobile analytics priorities for 2015.
Mobile data rarely supports marketing decisions. Marketers in China can’t find integrated marketing campaign management solutions that include both web and mobile. The credit card department of a leading Chinese commercial bank found that customer response rates to its mobile campaigns were ineffective due to the gaps between its mobile and online marketing campaigns.
Brands have no idea how to monetize mobile data. Marketers know how to monetize data on mobile traffic and user profiles, but not how to add value from the mobile data itself. Exchanging mobile data with third parties will be a good idea if the data platform can solve data ownership, privacy, and regulatory issues.
Back in June, I published a blog post on the ongoing loyalty battle between taxi-hailing apps in China. Since launching their loyalty campaigns, Didi Dache and Kuaidi DaChe have expanded to more and more cities and are fiercely competing with each other with dueling rounds of promotions. Five months later, we have a winner — at least for now.
On November 5, Kuaidi announced that it had captured 60% of the taxi-hailing app market in China, overtaking former market leader Didi. Kuaidi hasn’t just won market share — it’s won the customer loyalty battle, which is more important. According to EnfoDesk, active Kuaidi users open the app 15.82 times on average, while active Didi users only do so 12.55 times.
How did Kuaidi manage to flip the game in just five months? Simply put, Kuaidi’s customer loyalty program works better. My previous post outlined the different approaches that Didi and Kuaidi took to engender customer loyalty: Kuaidi adopted a loyalty rewards program and provided points and coupons to loyal customers, whereas Didi leveraged the power of social to replicate the success of its Lucky Money campaign.
So why did Kuaidi’s points and coupons beat Didi’s lucky money in the race for customer loyalty?
Predictable rewards beat random rewards. Kuaidi users earn a certain number of points for each completed ride and can use these points to purchase coupons — so loyal Kuaidi users get rewards that are predictable and can be accumulated. In contrast, the amount of money that Didi users get from each lucky money reward package is completely random.
Last week, I published a new report called "The Marketing Technology Meet-Up," which examines the consolidation trend of ad technologies and marketing technologies and helps marketers understand how to use it to their advantage. Why is this happening now, you ask? Three reasons: customer expectations for brand interactions are (still) increasing; vendors want a bigger piece of the marketer's technology budgets; and the prevalence of investments in contextual experiences.
We see the convergence happening in four areas:
Data, because the single view of the customer is as tantalizing as it is elusive.
Media, which half of marketers say they struggle to buy correctly.
Measurement, as various methodologies provide vastly different performance results.
Operations, where siloed marketers find more and more reasons to work together on coordinated programs.
Forrester predicts that US online retail sales will reach $89 billion during the 2014 holiday shopping season. Shoppers turn to the Web during the time-pressed period between November and December to avoid crowds, lines, and, in many cases, higher prices. This holiday season, eCommerce will experience a boom in the number of online buyers, as the holiday season is a strong opportunity for new customer acquisition, and online wallet share, as seasoned online consumers are growing more comfortable and reliant on the practice.
However, the expected growth is not as high as it could be due to a few unique constraints. A shorter than average holiday selling season, defined by the days between Thanksgiving and Christmas, limits shoppers in the time during which they can take advantage of the deep discounts they expect. Further, the expected increase in volume of online sales will push the already constrained carrier networks. Forrester estimates that nearly seven times more eCommerce packages are shipped daily in the two weeks before Christmas than daily between the months of January and October. Last year, FedEx and more notably UPS had a high number of late deliveries due to unprecedented package volume and poor weather that caused buildups at critical times. With the expected 13% increase in eCommerce sales in 2014 for the months of November and December as compared to the same period in 2013, retailers and consumers must recognize the risk of shipping delays.
To bring a recent piece of research on content co-marketing to life, I created a mini-podcast (8 minutes) that includes excerpts from my interviews with marketing leaders. Give it a listen (if the Soundcloud player below doesn't show up or doesn't work for you, you can go straight to the Soundcloud page where it lives, here). Below I've included notes to the podcast, and a full transcript.
As the hub of our offline and online experiences, mobile interactions are a powerful catalyst for contextual marketing. The untapped opportunity in mobile for marketers will be to get an extremely granular understanding of their customers, then anticipate their expectations, and develop unique insights to power better marketing across all channels, not just mobile.
Few Marketers Make The Most Of The New Customer Data Gold Mine
Because smartphones are the hub of our offline and online experiences, they generate valuable insights for contextual data-driven marketing. However, the majority of marketers are not yet ready to exploit the convergence between mobile and big data.
Short Term: Engage Your Customers In Real Time In Their Mobile Moments
Harnessing and extracting actionable insights from this unprecedented wealth of customer data will enable marketers to serve customers in their mobile moments on a channel where they will increasingly spend the majority of their digital time.
Long Term: Power Better Marketing Initiatives Beyond The Mobile Channel
Mobile is more than simply another digital channel. Marketing leaders should combine mobile data with other sources of customer intelligence to get a deeper understanding of customers, anticipate their expectations, and act on these insights to improve all marketing initiatives.
Blogged in collaboration with Samantha Ngo, Senior Research Associate, serving Customer Insights professionals.
Even if you have a clear idea of where you want to end up, the route you take to customer loyalty isn't always straightforward. Outlining a strategic plan helps you understand what you need to do, but a roadmap identifies how, when and with what resources you should tackle each step. Forrester believes there are six components to designing an effective loyalty roadmap:
Time frame: The expected completion of tasks and delivery of results.
Desired outcomes: Key performance indicators (KPIs)that help you benchmark the performance of your advancing strategy based on your maturity.
Strategic themes: A summary of the objectives an organization needs to advance its strategy.
Key steps: The specific tasks — pulled straight from the strategic plan — which an organization must complete to graduate to the next maturity level.
Dependencies: The people, process, and technology required to execute the key steps. Changes to the current approach may require acquiring new team members, implementing formal processes, or buying loyalty technology.
Investment level: Where and when the allocated loyalty budget will be spent.
If the healthcare industry exhibited symptoms of dysfunction, the US government administered a wave of treatment in the form of the Patient Protection and Affordable Care Act. October 2013 marked the opening of online insurance marketplaces, and set the stage for the act's requirement that most US residents have health insurance coverage. As a result, the industry has witnessed cessations and regenerations, and the pulse of consumer sentiment has fluctuated. Now, one year on, we’re due for a checkup.
At a macro level, US online consumers’ perspectives on healthcare reform today are largely consistent with those immediately preceding open enrollment under the federal law: Individuals continue to be skeptical of policy changes. However, at a micro level, subtle yet fundamental shifts in the consumer mindset signal a gradual evolution in perceptions of healthcare.
Our Technographics 360 research approach, which synthesizes Forrester’s ConsumerVoices Market Research Online Community insight and aggregated social listening data, shows that the conversation about healthcare has shifted from politics to experience -- and, in particular, to a focus on cost:
Marketers are in love with the latest mobile “shiny object” – and with technology acronyms – NFC, AR, LTE, BLE, RWD, QR. What’s more, hype questions abound: Will beacons replace NFC? Do you believe in HTML5 or should we develop a native app? Should we build an app for Apple Watch? But most of the time, these questions are irrelevant.
The reality is, marketers are increasingly using a variety of mobile tactics and technologies – but this use is rarely sophisticated and more often than not, does not match customer behaviors.
Sophistication of consumers’ use of smartphones is climbing — without consumers even noticing it. Mobile is simply part of our daily lives and, therefore, fundamentally changes customer expectations. With mobile traffic exploding, marketers are not only underserving their best customers by delivering a poor mobile experience, but risk losing their business altogether.
It’s time for marketers to start asking questions like how their core audience is using mobile, the value that mobile is adding throughout the customer lifecycle, the experience they want to transform, and the marketing objectives they have, to name a few. And only then, begin to align the right technologies.