In the age of Big Data, having a wealth of information can be both a blessing and a curse. There are a lot of valuable insights to gain, but you need a team with the right skillset to determine what is important and apply it to the creation of effective campaigns as well as your overall marketing strategy. Since no solution is going to work for every brand, taking a deep dive and developing a customized approach will always yield the best results.
Here are three data-backed tools that you should consider implementing to engage customers and increase sales.
- Subscriptions: Falling under the larger umbrella of stored-value payment, subscriptions are a growing trend. Some brands choose to let their customers load prepaid meals onto an account, which is not much different than preloading cash to spend. In both cases, when guests store value on a card or in an account that’s linked to a loyalty program, visits and spend typically increase. Prepaid meal passes have sometimes resulted in incremental spend being boosted by up to 80%. When stored value is paired with auto-reload features, it can produce additional benefits like a 15% increase in weekly visits.
- Artificial Intelligence: More than a hip term, AI is a tool that is helping marketers determine the most impactful ways to reach their guests at a reasonable cost. Taking individualization beyond bands and segments allows marketers to optimize promotions and maximize their ROI. One-to-one visit challenges that offer rewards based on individual guest behavior have generated remarkable results. One such challenge saw the number of visits increase 10.5% across all guests and almost 28% among those who were already visiting somewhat regularly. Choosing the right promotion can entice more visits and spend from even your best guests.
- Segmentation and Predictive Scoring: Targeting guests by likelihood to take actions can further refine any marketing strategy. Whether guests are inclined to visit once a week or once a year, you can craft promotions that will work for each segment. Thoughtfully structured campaigns typically drive a 15-25% increase in visit frequency and prompt behavior changes like visiting at a different time of day, spending more, and trying new products. Predictive models can also be used to identify segments that are likely to visit without receiving an offer, helping you avoid cannibalization.
In the hands of the right data insights team, these tools will motivate increased visits and spend, which ultimately leads to improved top-line sales. To learn more about building a successful loyalty program, download “Target Low-Frequency Guests. Here’s Why.”
