Insights
Customer Experience | Retail
Personalization across physical and digital channels is the next big marketing opportunity. The secret is figuring out how they best work together.
While the focus of personalization efforts has generally been on the online customer journey, in certain industries such as retail, grocery, and hospitality, more than 80 percent of sales occur in a physical location. Better personalization of the offline journey is only part of the answer. The best companies are focused on improving the personalization of both the online and offline journey together.
Many companies recognize the need for omnichannel personalization, but a number of reasons keep them from implementing it:
To overcome these obstacles and drive growth, companies should take the following five steps.
The best companies have a crystal clear understanding of the key moments of influence in the customer journey, from pre-visit awareness to conversion during the visit to deepening engagement after the visit. They then identify the desired business outcomes for each step of the journey: additional trips, cart size, and/or customer satisfaction. Finally, they prioritize the use cases to test based on their ability to deliver business value and value to the customer. Below are some examples of how companies have successfully done this:
To achieve omnichannel personalization based on identified use cases, companies need to connect their digital and physical footprints. Companies should focus on five touchpoints where this convergence occurs: mobile app, digital displays, interactive screens, tech-enabled employees, and the point of sale.
By systematically assessing the impact of these touchpoints on consumers, companies can understand customer behavior and develop more effective two-way communication strategies. However, for these interactions to be effective, companies must accurately identify their customers, typically through self-identification or digital identification. Customers can be automatically identified via location tracking on their app or via a wearable device, or via visual recognition (which varies by market due to legal issues), or they can self-identify via a digital screen or in conversation with an employee. The request for self-identification should be as overt as possible, such as asking for an email address or phone number, with the customer receiving a tangible benefit in return, such as a personalized offer, free services such as Wi-Fi or phone top-up, or a promotion. The point of sale also provides a natural opportunity to encourage customers to identify themselves in exchange for incentives, such as linking purchases to a loyalty account or receiving an electronic receipt.
To accurately and quickly determine the next best action for each customer, businesses need a decision engine that uses artificial intelligence or machine learning. Over time, as the decision engine ingests and adjusts more data about customer behavior and sales metrics, such as store offerings, inventory, and web publications, its business logic improves and the machine becomes more successful at delivering what customers want. Many companies have already laid the foundation for a decisioning engine by investing in marketing platforms and integrating analytics and data into their decision making.
For example, if a customer has chosen to be identified via an app or facial recognition, the decisioning engine can automatically send specific offers or messages as soon as the customer enters a store or other physical location. Even if a customer has not been identified, a decision engine can make real-time decisions based on contextual, location, or shopping cart data. Weather conditions, time of day, buying trends in a particular location, or complementary shopping cart items ("Customers who bought this item also bought ...") are automated through the engine. The more sophisticated the engine becomes, the more testing possibilities become possible. The key is to develop thoughtful tests that allow you to measure both online and offline impact - for example, capturing the journey of a customer who interacts in person with a tech-savvy employee but actually buys after receiving a follow-up email with personalized recommendations.
The shift to personalized marketing requires more than just better technology; it requires a fundamentally new way of working.
Agile marketing teams, or pods, bring together different functions to work collaboratively to achieve omnichannel personalization goals. They typically include data scientists who measure performance, marketing teams who create test hypotheses, marketing technology experts who help with implementation, and team members who represent offline channels (e.g., touchpoint-specific product managers for mobile apps, kiosks, and interactive screens), field operations managers who lead on training frontline employees, and hardware and software technologists who work on technical solutions. The best agile teams focus on specific consumer segments or journeys (new buyers, buyers returning a product) and work with customers on new services, offerings, and experiences in a process of rapid learning and adaptation.
Assembling this cross-functional team encourages shared ownership of the customer journey, rather than having a single department responsible for each isolated touchpoint. The team then works quickly, developing ideas and hypotheses based on existing data, designing and prioritizing omnichannel personalization tests, executing them, and measuring results across channels to gain insights - all with executive support.
Bringing all of these steps together and realizing the full value of omnichannel personalization requires an aligned and trained sales force. Therefore, it is critical that field staff actively support personalization, understand its value, and learn how to leverage digital technology to create a comprehensive omnichannel experience. For example, one retailer provided its in-store staff with a sales support tool on a tablet and targeted training to help them use it to better support customers and upsell products and services. The success was clear: the average order value increased by 5 percent in the test stores.
Training can not be done just once. The best companies provide online and offline training at least quarterly, and supplement it with a culture of continuous feedback to further build skills and ensure that changes last. In addition, the best omnichannel companies ensure that incentives are aligned with key performance indicators, such as number of customers contacted, percentage of customers making a purchase, and additional products sold.
When it comes to personalization, the next digital frontier is in the physical world. Surprising as it may sound, companies that are able to personalize the customer experience across all physical and digital channels (omnichannel personalization) can achieve a 5 to 15 percent increase in revenue across the entire customer base.