Leveraging Gen AI
With the advent of ChatGPT, however, loyalty has moved on to the generative and response sides of AI. Platforms that are incorporating AI assistants are helping loyalty experts access their data faster in a more conversational way. Where before they may have manually pulled data for a report, now they can ask questions, such as, “how many marketable members does my program have?” or “how did my last campaign perform?”
Furthermore, AI is making it easier for marketers to optimize their loyalty platform’s capabilities. Instead of becoming entrenched in analyzing data to find insights, AI users can take full advantage of every capability at their disposal. Integrated AI can show them how to use tools that segment data intelligently or to see which campaigns had the highest retention rate. Or, it might simply help someone who has forgotten how to set up a push or pull message to quickly find that information in the product’s support documents.
Generative AI has the potential to be a campaign game changer for loyalty professionals, it can blend analytics, run queries on data based on questions for things like redemptions and spend. It can also take best practices from its data set and craft a campaign from scratch.
With its ability to create many original ideas, generative AI shouldn’t be taken at face value. Rather, it can be amended, adjusted and personalized to meet a brand’s specific needs. It enables people to ask questions so that they can analyze how things went, determine the best next steps and establish brand specific best practices.
When integrated into a guest engagement platform, generative AI saves time and frustration. It’s ability to access and query data helps brands drive more value from their data. This is how savvy loyalty pros are using it to make their programs better.
