Hello retail pros!
Our goal is to equip you with tools to help you succeed by maximizing everything data.ai has to offer. Because of this, we’re excited to share some best practices around use cases for your industry.
Our team prepared a presentation for a leading UK retailer, to come up with six use cases that we believe every company operating in retail would benefit from.
These six use case include:
- Increase mobile revenue, inform marketing spend and drive world-class CX with data.ai.
- Inform the growth of your app through obtaining a 360 degree view of the mobile retail landscape with data.ai.
- Measure campaigns on a daily/weekly/monthly basis during peak periods to understand who is winning and why.
- Improve app engagement performance and drive customer loyalty with data.ai.
- Drive customer loyalty through app engagement by quickly understanding customer sentiment to inform product strategy and meet customer demand .
- Measure customer app retention vs the market to understand your customer loyalty vs the market.
Lets dive in!
1. Increase mobile revenue, inform marketing spend and drive world-class CX with data.ai:
2. Inform the growth of the your app through obtaining a 360 degree view of the mobile retail landscape with data.ai:
3. Measure campaigns on a daily/weekly/monthly basis during peak periods to understand who is winning and why:
4. Improve app engagement performance and drive customer loyalty with data.ai:
Measure KPIs such as; active users, open rate, sessions per user, time on app and more to understand the impact of your product strategy vs the competition.
5. Drive customer loyalty through app engagement by quickly understanding customer sentiment to inform product strategy and meet customer demand:
6. Measure customer app retention vs the market to understand your customer loyalty vs the market:
We’d love to hear how you’re using data.ai to accomplish your goals. If you have any questions or thoughts about the above use cases, please comment below.