¿Cómo se prueba y mejora la usabilidad y el rendimiento de la tecnología de los programas de fidelización?

I take issue with the premise here. Loyalty programs are not about attracting and retaining customers. If that's why you launch a loyalty program, best of luck, but that's not the main purpose. The primary goal of a loyalty program is simply to ensure that customers have the incentive (points, miles, discounts) to IDENTIFY themselves with each and every transaction or interaction. In this way you can initiate and build a long-term, meaningful relationship with the customer. You cannot build a relationship with a customer without knowing who that customer is. If your business already comes into natural possession of the customer's ID (like, say an online business) then you probably don't need a loyalty program and shouldn't bother with it.

To continue on with @Don Peppers insight, if you DON'T have access to a unique customer ID across variable channels of interaction (in-store vs online) and you see the need to understand their buying behaviour, then a loyalty program CAN be the value exchange for the ongoing data collection..."we will give you these rewards and benefits IN EXCHANGE for you identifying yourself each time you transact/interact". The main consideration is to ask yourself 'what problem' can a loyalty program solve for your business and for your customers OR what value do you want to add to your customers lives.

Precisely @Don Peppers. The elegant shorthand of ‘Loyalty Program’ arguably diffuses focus from the real work to be done by program operators. While in some industries - e.g. airlines - the bestowing of (inimitable) rewards is the key driver of customer behaviour change, in and of itself, this is frustratingly not true for many verticals - e.g. low margin retail. From a retailers perspective it may make more sense to think of two separate initiatives: 1. The ‘How do i incentivise my customer to leave their customer-id with me every time they shop program’ and 2. The ‘What do I now do with the resultant (vastly richer) data asset to improve outcomes for both my customer and my business program’ Exemplary work in 2 will support 1.

With the emergence of ChatGPT, this aspect of evaluating loyalty programs will be greatly impacted and offer real time performance enhancement feedback. The accumulation of data and the opportunity to change assumptions and questions for overall loyalty program proformance will be cutting-edge and game changing.

You can utilize AI tools to analyze customer sentiment from reviews, social media, and feedback. This helps in understanding overall satisfaction and areas that need improvement. Gather qualitative data through focus groups or surveys to delve deeper into user preferences and pain points. This can unveil nuanced insights that quantitative data might not reveal. Experiment with different features or functionalities within the loyalty program to assess which combination drives better engagement and conversions Also test the loyalty program's compatibility and interaction with other systems or platforms. For instance, check how well the loyalty program integrates with the CRM system or point-of-sale software.

Once tests are complete, it's essential to dive into analysis. Utilize statistical methods and tools to glean insights from the data gathered. Compare results against set goals and metrics to identify patterns and trends. Visualize findings clearly through charts, graphs, or dashboards for transparent communication.

There is one key KPI we always use when monitoring the improvements of loyalty program performance. (We are a tech vendor for loyalty program tech with global brands as customers.) And it's Reward Redemption Rate. My 2 reasons why: 1. shows active involvement: a high redemption rate shows that customers are actively participating in your loyalty program and actually benefitting = redeeming rewards. 2. shows when to intervene: if you notice that customers are sitting on their points, it may be a sign that they are not finding value in the program or rewards are not attractive.

After that insights are gleaned from testing, it's crucial to implement and monitor improvements diligently. Prioritize changes that promise the most significant impact on metrics and customer satisfaction. Continuously evaluate the effects of these enhancements over time, using the same rigorous methods as before. Track and report changes in metrics and customer feedback, adjusting strategies as needed. Let's commit to refining our loyalty program technology !

As the CEO of a loyalty and referral solution, I've learned that success lies in continuous iteration. Regularly revisit and refine your testing process to adapt to evolving business landscapes, shifting customer expectations, and emerging loyalty strategies. Embrace change as an opportunity to optimize technology usability and performance continually. Stay agile, seize new opportunities, and learn from both data and feedback.

Technology plays a pivotal role in optimizing loyalty programs by enhancing agility, scalability, and customer-centricity. It enables personalized user-friendly experiences, empowering customers with control over their journey. Automation and data analysis drive performance improvements, while mobile apps and digital interfaces facilitate seamless adoption. Technology transforms loyalty programs into dynamic, responsive tools that adapt to the evolving needs of customers and the product, ultimately increasing engagement and satisfaction.