Drive down costs by retaining existing customers.




Does a long shipping timelines hurt retention?

With fast shipping alternatives like Amazon, customers are placing a higher value on shipping time.

Build the Analysis
DATASET
ALL Completed Order
FIRST IN BETWEEN Completed Order
Received Shipment


ANALYZE
Increase Conversion Rate to Next Completed Order (%)
by analyzing the influence of Days to Received Shipment
by month and ☑️ filter data for people who can still convert




Which products are best for first-time customers?

First-impressions are important. Find out which product keeps customers coming back for more.

Build the Analysis
DATASET
ALL Purchased Product
FIRST AFTER Completed Order


ANALYZE
Increase Conversion Rate to Completed Order After (%)
by analyzing the influence of Purchased Product Sku
by month
and ☑️ filter data for people who can still convert




Are returns a sign that customers are unsatisfied?

Unsatisfied customers won’t shop with you again. Find out if returns are an early indicator that you lost a customer.

Build the Analysis
DATASET
ALL Completed Order
FIRST IN BETWEEN Completed Order
Returned Product (but only before Another Activity: Completed Order)


ANALYZE
Increase Conversion Rate to Next Completed Order (%)
by analyzing the influence of Did Returned Product
by month and ☑️ filter data for people who can still convert




What age demographic has the best retention?

Narrow in on your target audience.

Build the Analysis
DATASET
ALL Completed Order
FIRST IN BETWEEN Completed Order

Add column for customer age


ANALYZE
Increase Conversion Rate to Next Completed Order (%)
by analyzing the influence of Customer Age
by month and ☑️ filter data for people who can still convert




Are men or women easier to retain?

Narrator in on your target audience.

Build the Analysis
DATASET
ALL Completed Order
FIRST IN BETWEEN Completed Order

Add column for customer gender


ANALYZE
Increase Conversion Rate to Next Completed Order (%)
by analyzing the influence of Customer Gender
by month and ☑️ filter data for people who can still convert






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