Occasion and Timing-Based Behavior
Posted: Sun Dec 22, 2024 5:56 am
You can classify mobile audience into four categories:
Heavy: your most loyal customers, who spend most australia whatsapp number list of their time using your product. They are also the first to purchase new offers.
Medium: regular clients who usually buy and use your product based on an occasion or emerging need.
Light: consumers who buy irregularly and could even be one-time users. They have the least loyalty to your brand.
Interested: people with a certain level of interest who could potentially become customers.
Imagine a student who uses a ride-sharing app to commute to their university from Monday to Friday. They don’t need the app on weekends because they aren’t in a hurry and can walk to their destination.
Seeing this pattern, the ride-sharing service could target the student with discounts on weekends. This would incline the client to use the service even though they didn’t plan to.
The data can also help you detect sleeping customers to target them with a re-engagement campaign. This would cost you five times less than attracting new clients.
Targeting a client when they’re in a certain emotional state can help you sell more or even convert them into a loyal customer. Finding the right moment is the biggest challenge.
Occasions could include personal events like birthdays or anniversaries. It could also be a seasonal event, like going on vacation. In some cases, this may cover a life milestone purchase like a wedding ring or a house (in which case they might be interested in, e.g., a home buyer's guide).
It is a good option for determining the best time for providing discounts, special offers, and promotions.
For example, Starbucks analyzes the behavior of their regular morning customers to offer happy hour events with discounted coffee via a push notification. This increases the probability that the client will come for another coffee during the day.
Heavy: your most loyal customers, who spend most australia whatsapp number list of their time using your product. They are also the first to purchase new offers.
Medium: regular clients who usually buy and use your product based on an occasion or emerging need.
Light: consumers who buy irregularly and could even be one-time users. They have the least loyalty to your brand.
Interested: people with a certain level of interest who could potentially become customers.
Imagine a student who uses a ride-sharing app to commute to their university from Monday to Friday. They don’t need the app on weekends because they aren’t in a hurry and can walk to their destination.
Seeing this pattern, the ride-sharing service could target the student with discounts on weekends. This would incline the client to use the service even though they didn’t plan to.
The data can also help you detect sleeping customers to target them with a re-engagement campaign. This would cost you five times less than attracting new clients.
Targeting a client when they’re in a certain emotional state can help you sell more or even convert them into a loyal customer. Finding the right moment is the biggest challenge.
Occasions could include personal events like birthdays or anniversaries. It could also be a seasonal event, like going on vacation. In some cases, this may cover a life milestone purchase like a wedding ring or a house (in which case they might be interested in, e.g., a home buyer's guide).
It is a good option for determining the best time for providing discounts, special offers, and promotions.
For example, Starbucks analyzes the behavior of their regular morning customers to offer happy hour events with discounted coffee via a push notification. This increases the probability that the client will come for another coffee during the day.