Squrve-Benchmarks / spider2 /lite /external /PushNotificationAnalysis.md
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Push Notification Analysis

Overview

This document details an SQL query that analyzes user responses to push notifications within the timeframe of 8:00 AM to 9:00 AM on June 1, 2023. It is designed to assess the impact and effectiveness of push notification campaigns across various metrics.

Data Sources

The analysis utilizes four distinct subqueries pulling from push notification event views:

  • Send Events
  • Bounce Events
  • Open Events
  • Influenced Open Events

Query Description

Each subquery counts and categorizes events based on the type of interaction (sent, bounced, opened, influenced open), along with detailed user and device information.

Send Events

  • Table: USERS_MESSAGES_PUSHNOTIFICATION_SEND_VIEW
  • Columns: ID, app group ID, user ID, campaign ID, message variation ID, platform, ad tracking enabled, event timestamp

Bounce Events

  • Table: USERS_MESSAGES_PUSHNOTIFICATION_BOUNCE_VIEW
  • Columns: Same as Send Events

Open Events

  • Table: USERS_MESSAGES_PUSHNOTIFICATION_OPEN_VIEW
  • Columns: Same as Send Events plus carrier, browser, and device model

Influenced Open Events

  • Table: USERS_MESSAGES_PUSHNOTIFICATION_INFLUENCEDOPEN_VIEW
  • Columns: Same as Open Events

Results Aggregation

The final output of the query is grouped by:

  • App Group ID
  • Campaign ID
  • User ID
  • Message Variation ID
  • Platform
  • Ad Tracking Enabled
  • Device Information (Carrier, Browser, Device Model)

Metrics Included

  • push_notification_sends: Total number of notifications sent.
  • unique_push_notification_sends: Number of unique users who received notifications.
  • push_notification_bounced: Total number of notifications that bounced.
  • unique_push_notification_bounced: Number of unique users who received bounced notifications.
  • push_notification_open: Total number of notifications opened.
  • unique_push_notification_opened: Number of unique users who opened notifications.
  • push_notification_influenced_open: Total number of indirectly opened notifications.
  • unique_push_notification_influenced_open: Number of unique users who opened notifications indirectly.

Conclusion

This analysis provides valuable insights into the reach and responsiveness of users to push notifications, helping to guide future marketing strategies and campaign optimizations.