In May, American Express launched Plenti, a U.S.-based coalition loyalty program with eight partners, including Macy's, AT&T, Exxon Mobil and Rite Aid. These types of programs, which let consumers earn and redeem a single currency across multiple partners, are popular in other areas of the world, but coalitions have historically failed to gain traction in the United States.
Plenti's initial progress indicates that it might buck the trend: It signed up more than 20 million members in its first two months reaching around 16% US household penetration. For reference, established coalitions such as AIR MILES, Nectar and FlyBuys have household penetration rates of more than 50%.
But any decent loyalty marketer knows enrollment doesn’t tell the whole story. Three things, in particular, give coalition in the U.S. a fighting chance:
The loyalty program landscape is crowded. Plenti entered the market at a time when companies across industries – from retail to travel/hospitality to automotive – invest in loyalty programs to drive retention, engagement and loyalty. According to Forrester’s Consumer Technographics data, consumers belong to an average of nine loyalty programs. The proliferation of branded programs makes it hard to stand out, and it shows: 58% of loyalty marketers that Forrester surveyed in 2015 indicated they were dissatisfied with their loyalty strategy. Coalition programs offer a differentiated value proposition: members shopping across partners experience an increased earning velocity and wider choices for redemption, which boost the utility and perceived value of the program.
We've been talking about Adaptive Intelligence (AI) for a while now. As a refresher, AI is is the real-time, multidirectional sharing of data to derive contextually appropriate, authoritative knowledge that helps maximize business value.
Increasingly in inquiries, workshops, FLB sessions, and advisories, we hear from our customer insights (CI) clients that developing the capabilities required for adaptive intelligence would actually help them solve a lot of other problems, too. For example:
A systematic data innovation approach encourages knowledge sharing throughout the organization, reduces data acquisition redundancies, and brings energy and creativity to the CI practice.
A good handle on data origin kickstarts your marketing organization's big data process by providing a well-audited foundation to build upon.
Better data governance and data controls improve your privacy and security practices by ensuring cross-functional adoption of the same set of standards and processes.
Better data structure puts more data in the hands of analysts and decision-makers, in the moment and within the systems of need (eg, campaign management tools, content management systems, customer service portals, and more).
More data interoperability enables channel-agnostic customer recognition, and the ability to ingest novel forms of data -- like preference, wearables data, and many more -- that can vastly improve your ability to deliver great customer experiences.
As an analyst on Forrester's Customer Insight's team, I spend a lot of time counseling clients on best-practice customer data usage strategies. And if there's one thing I've learned, it's that there is no such thing as a 360-degree view of the customer.
Here's the cold, hard truth: you can't possibly expect to know your customer, no matter how much data you have, if all of that data 1) is about her transactions with YOU and you 2) is hoarded away from your partners. And this isn't just about customer data either -- it's about product data, operational data, and even cultural-environmental data. As our customers become more sophisticated and collaborative with each other ("perpetually connected"), so organizations must do the same. That means sharing data, creating collaborative insight, and becoming willing participants in open data marketplaces.
Now, why should you care? Isn't it kind of risky to share your hard-won data? And isn't the data you have enough to delight your customers today? Sure, it might be. But I'd put money on the fact that it won't be for long, because digital disruptors are out there shaking up the foundations of insight and analytics, customer experience, and process improvement in big ways. Let me give you a couple of examples: