---
schema_version: "1"
id: e877c36ca5313b87752680a2ce98daa65eddbbad912e3bb05b9a48de9c6190fa
title: Gauge Your Einstein Engagement Scoring Data Quality
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/mktg/264-0-0/mc_anb_einstein_ees_data_quality.md
canonical_url: https://help.salesforce.com/s/articleView?id=mktg.mc_anb_einstein_ees_data_quality.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: e841de236157fe38595d2164deb008e5f60d91d30180ddd5e1eb49cee0bb41bd
description: Check your mobile app’s data quality score for insight about the engagement data that Einstein uses to predict your customers’ likelihood to engage. Data quality scores for Einstein Engagement Scoring are generated at the mobile app level only.
products:
  - Marketing
  - Marketing Cloud Intelligence
release: "264"
---
# Gauge Your Einstein Engagement Scoring Data Quality

Check your mobile app’s data quality score for insight about the engagement data that Einstein uses to predict your customers’ likelihood to engage. Data quality scores for Einstein Engagement Scoring are generated at the mobile app level only.

Each mobile app’s data quality score is generated by analyzing the app’s engagement data. This analysis determines a Pattern Predictability score and a Data Maturity score.

- To determine the Pattern Predictability score, Einstein analyzes the distinctness of your customers’ engagement patterns with your mobile app. Greater pattern predictability leads to more accurate predictions of future engagement behavior. When your messages are more compelling and drive higher engagement rates, your Pattern Predictability score is higher. When your engagement rates are lower, your Pattern Predictability score is lower. Pattern Predictability differs from engagement rate because it evaluates engagement events as they correlate to one another throughout your customers’ engagement history.
- To determine the Data Maturity score, Einstein analyzes the length of time that each of your customers has had data available to make predictions, and how much data is available. This score helps Einstein understand how sensitive your subscribers are to changes in your sending patterns over time. When you have a greater history of data for each of your customers, your Data Maturity score is higher.

To find your data quality score, navigate to the Einstein Engagement Scoring for MobilePush dashboard. To see your scores and tips that can help raise your data quality score, click **Data Quality Score**.

![Note](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-mktg-mc_data_management_and_analytics-264-0-0-production-enus/7988f60d-cd94-4b42-8836-dc11773564b5/images/icon_note.png)

Note Transactional sends and test sends are excluded when generating your data quality score.