Program memberships or spend by members are a good reflection of the broad potential universe of members. However, members can be split into segments: enrolled, active, and redeemers. The most valuable metric is redeemers.
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Since the pandemic, over 75% of consumers have changed their buying habits, 39% changed brands or retailers, and 79% of those will continue to explore their options.
Loyalty programs can boost revenue from customers who redeem points by 15 to 25 % annually. However, about two-thirds of established loyalty programs fail to deliver value. Getting more out of a loyalty program does not require a complete makeover.
Offering an incentive to redeem loyalty points can boost sales and incrementally spike revenue by reactivating dormant customer loyalty.
Moreover, companies that promote deeply can earn deeper engagement. What may be lost on a single transaction can be made up for in repeat visits.
All loyalty programs have members who don't redeem points. This "breakage" reveals issues with redeeming points, members forgetting they've enrolled, unappealing or less relevant rewards, and unachievable reward thresholds.
The best loyalty programs achieve their full potential by restoring members to participate in them. They also ensure to:
Alliances can give access to new customers or markets, expand benefits, increase brand awareness and provide greater earning options. But partnerships can also backfire when clear governance is absent around key decisions, creating these pitfalls:
Many customers are enticed by exciting rewards in loyalty programs but lack sufficient program currency, or points, to access them. This can discourage them from continuing to accrue points.
With the points plus cash option, members can pay with a combination of their points and cash and reduce the redemption threshold. This can increase redemptions by 20 to 25% and benefit the overall program profitability.
Loyalty data can create granular segments of customers.
Building a rapid A/B testing capability is vital to leverage these groups fully. It allows experimenting with new ideas, discarding what doesn't work, and scaling those that add value.
Loyalty programs provide valuable data about customers. Leveraging the data into meaningful, actionable segments can drive customer experience.
Segmenting by behaviour instead of needs, value, or demographics ensures that the specific intervention will drive toward the behaviour desired and can become the foundation for creating personalised customer experiences.
A difficult challenge is accurately measuring the incremental impact of loyalty programs. Unclear key performance indicators (KPIs), complicated ROI calculations, and the need to account for the balance sheet impact of liabilities make moving toward a sustainable program difficult.
Measuring performance around a program-specific P&L assessment help to drive performance. The first step is calculating a baseline P&L to help a company understand its starting point and identify its potential paths forward.
The task of the chief design officer (CDO) is often less defined than other established C-suit positions.
The position provides the opportunity to create unmatched value. However, it also presents unique challenges, such as the ability to switch between analytical and creative, design and business, empathetic and directive.
Embedding AI across an enterprise to tap its full business value requires shifting from bespoke builds to an industrialized AI factory.
For AI to make a sizable contribution to a company’s bottom line, organizations must scale the technology across the organization, infusing it in core business processes, workflows, and customer journeys to optimize decision making and operations daily.
Achieving such scale requires a highly efficient AI production line, where every AI team quickly churns out dozens of race-ready, risk-compliant, reliable models.
It may seem essential for software to become the core of a business model for a broad cross-section of companies. For example, among industrial companies, 38% say they aspire to generate over 50% of revenues within the next three years from digital technologies.
However, it doesn't mean it will be easy. There are a handful of successful cases of non-software companies building software businesses. Many companies head in the wrong direction because of common misconceptions.
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