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Rolling 30-Day Average Performance
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Rolling 30-Day Average Performance

MediumSQL · PostgreSQL

Problem

Tatari analysts need to monitor campaign performance over time. Write a PostgreSQL query that calculates a rolling 30-day average of each active campaign's daily conversion rate.

Requirements

  1. Join campaigns to campaign_daily_performance and include only active campaigns with performance dates from January 1 through February 10, 2025.
  2. Calculate each day's conversion rate as conversions divided by impressions, returning NULL when impressions are zero or missing.
  3. Calculate the average of the current day and the preceding 29 calendar days for each campaign. Do not treat missing dates as zero-performance days.
  4. Return one row per campaign performance date, with percentages rounded to two decimals, ordered by campaign and date.

Schema

campaigns
ColumnTypeDescription
campaign_idPKINTUnique campaign identifier
campaign_nameVARCHAR(100)Tatari campaign name
statusVARCHAR(20)Campaign lifecycle status
channelVARCHAR(40)Primary advertising channel
campaign_daily_performance
ColumnTypeDescription
performance_idPKINTUnique daily performance record identifier
campaign_idINTReferences campaigns.campaign_id
performance_dateDATEDate represented by the performance record
impressionsINTNumber of delivered impressions
conversionsINTAttributed conversions
Tablescampaignscampaign_daily_performance
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Your question is Rolling 30-Day Average Performance. Start with the requirements and the two tables in the Question tab.

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