Segment, target and position yourself for an engaging customer experience

Demographic targeting Geographical targeting Psychological and behavioral targeting

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Onboard all your previous customers

You don't have to start from scratch. Get all your customers' data uploaded in an instant through a CSV.

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RFM

RFM automatically segments your customers and enables you to quickly pinpoint
your most valuable users and those at risk of churn.

Cannot Lose Them R (Last Order) : ... F (Order Count) : ... M (Avg Order Value) : ...

These users were active at one point in your app but haven’t been back recently. Strong candidates to re-engage.

Loyal Customers R (Last Order) : ... F (Order Count) : ... M (Avg Order Value) : ...

These users have the highest frequency of use with solid recency.

Champions R (Last Order) : ... F (Order Count) : ... M (Avg Order Value) : ...

These users are your most active users. They have the highest recency and frequency scores.

At Risk R (Last Order) : ... F (Order Count) : ... M (Avg Order Value) : ...

These users have above-average frequency but low recency. Strong candidates to re-engage.

Need Attention R (Last Order) : ... F (Order Count) : ... M (Avg Order Value) : ...

These users have above-average recency and frequency.

Potential Loyalists R (Last Order) : ... F (Order Count) : ... M (Avg Order Value) : ...

These users have visited your app very recently and have the potential to become loyalists or champions.

Hibernating R (Last Order) : ... F (Order Count) : ... M (Avg Order Value) : ...

These users have the lowest recency and frequency scores. May be lost.

About To Sleep R (Last Order) : ... F (Order Count) : ... M (Avg Order Value) : ...

These users have below-average recency and frequency. May slip away if not engaged with.

Promising R (Last Order) : ... F (Order Count) : ... M (Avg Order Value) : ...

These users have high recency scores with the potential to become high-frequency users.

New Customers R (Last Order) : ... F (Order Count) : ... M (Avg Order Value) : ...

These users are your most recent users with low-frequency scores. Strong candidates to encourage repeat use.

Target customers by their specific in-app actions

Segment users based on historical data or track users in real-time by adding them to a segment the moment their behaviour matches your criteria.

Target by action Target by inaction Target by user-specific attributes

Automatically track customer groups in real-time

Track what users are doing in your app right now and strike while the iron is hot. Being instantaneous is key; whether it’s a high-value purchase or a transaction not yet completed.

Track by a single activity Track by inactivity Track by date or time

Create and deliver more of what your customers love

What if instead of behaviour alone, you could group users by their interests, habits, and other personal preferences? We call these psychographic segments and they work like magic.

Deliver by time they are active Deliver by an event they are interested in Deliver by day

Customers are evolving and so should your targeting

Use any combination of demography, geography or user actions to create segments and target your prospects more precisely.

Unlimited segments Any combination of user attributes

Market Targeting Strategies

Create multiple targeting strategies and use the right one at the right time
with the right message to ensure maximum conversions.

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Ask customers for feedback

Take regular surveys to learn what works for them and make them feel valued. Work on the feedback and fill gaps to create the best customer experience.

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