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MoM Growth in Support Channels

MediumSQL · PostgreSQL00:00
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Your question is MoM Growth in Support Channels. Start with the requirements and the two tables on the right.

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Problem

Wayfair wants to compare how effectively customers are resolved through self-service experiences and live agent support. Write a PostgreSQL query that reports monthly resolved interactions for both channels and their month-over-month growth.

Requirements

  1. Join interaction logs to active Wayfair customers only.
  2. Count interactions where resolved = TRUE separately for self_service and live_agent.
  3. Calculate month-over-month percentage growth for each channel using LAG.
  4. Return one row per month from January through April 2024, ordered chronologically. Return NULL growth when no prior month exists or the prior count is zero.

Schema

customer_profiles
ColumnTypeDescription
customer_idPKINTEGERUnique customer identifier
customer_nameVARCHAR(100)Customer display name
customer_statusVARCHAR(20)Customer lifecycle status
interaction_logs
ColumnTypeDescription
interaction_idPKINTEGERUnique interaction identifier
customer_idINTEGERCustomer associated with the interaction
occurred_atTIMESTAMPTimestamp when the interaction occurred
interaction_typeVARCHAR(20)Support channel used by the customer
resolvedBOOLEANWhether the interaction was resolved
Tablescustomer_profilesinteraction_logs
Your solutionPostgreSQL
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