MakeDashy divides customers in a few groups, estimates whether the groups’ purchase cycles are representative for all customers, and decides which customers to include in which groups. MakeDashy also sorts out prospective loyal customers from other customers and it is proved that their repurchase rate is 6 times higher than that of other customers. Build a strong fan base through MakeDashy’s segmentation.

Optimizing the customer journey from the acquisition to being a loyal customer is as important as improving items or service. Make customers loyal by building optimal customer journeys and optimizing Acquisition > First purchase > Repurchase > Loyal customer funnel with MakeDashy.

MakeDashy recommends an item that each customer is most likely to purchase next. Check out the performance of MakeDashy's recommendation algorithm through a business use-case where the number of buyers increased by 230% and the ARPPU increased by 280%.

Analyze customer Lifetime Value (LTV) and retention rate according to various conditions, such as channel, purchase item and cohort in each group. With MakeDashy and the analysis above, calculate Return On Ad Spend (ROAS), Customer Acquisition Cost (CAC) optimization, contribution margin, and upselling promotional costs.