Avoid errors and improve data quality in Tealium AudienceStream CDP

Tealium AudienceStream CDP helps you build rich customer profiles by aggregating data from across your digital ecosystem. However, issues like incomplete data collection, untracked events, or broken integrations can distort these profiles, limiting the effectiveness of personalized campaigns. Trackingplan monitors your Tealium setup to ensure every event is captured accurately, providing real-time insights into potential issues.
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COMMON PROBLEMS

Most common mistakes when using Tealium AudienceStream CDP

Incomplete Customer Profiles

Challenge: Missing or incomplete event data leads to incomplete customer profiles.

Impact: Skews audience segmentation and personalized targeting efforts.

Misconfigured Data Layer Variables

Challenge: Incorrect or missing data layer variables in Tealium can prevent accurate data collection.

Impact: Results in fragmented data, undermining your segmentation and analysis.

Broken Integrations with External Systems

Challenge: Integration failures between Tealium and third-party tools can break data flows.

Impact: Causes data silos and hampers cross-platform analysis.

Inaccurate Event Mapping

Challenge: Incorrect mapping of events to customer profiles.

Impact: Leads to wrong segmentation and misinformed personalization.

Data Privacy Compliance Issues

Challenge: Tealium data collection needs to comply with privacy laws (e.g., GDPR).

Impact: Failing to ensure compliance can result in fines and damage to brand reputation.

Automated Event Validation

Ensure all events are correctly mapped to the right customer profiles in AudienceStream.

Real-Time Data Quality Monitoring

Track data quality in real time to ensure complete and accurate customer profiles.

Cross-System Data Integrity Checks

Compare data from Tealium with external tools to ensure data consistency and completeness.

Privacy and Compliance Assurance

Monitor your data collection to ensure compliance with privacy laws like GDPR, CCPA, and more.

HOW TRACKINGPLAN HELPS

How Trackingplan solves your problems with Tealium AudienceStream CDP

Trackingplan enhances the accuracy of your AudienceStream data flows by validating event triggering and enriching processes across connected tools.
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Frequently asked questions about Tealium AudienceStream CDP

How do I ensure data quality in Tealium AudienceStream CDP?

High-quality data is crucial for effective customer segmentation and personalization in AudienceStream CDP. Data errors like missing attributes, duplicate profiles, or incorrect event ingestion can severely affect audience accuracy. Trackingplan continuously monitors your AudienceStream data layer and event schemas, detecting anomalies such as missing or malformed data attributes, duplicates, or unexpected data formats. It alerts your team to potential issues early, allowing you to fix them proactively. This ensures your CDP contains clean, accurate customer data for better targeting and personalization.

Why am I seeing discrepancies in Tealium AudienceStream?

Discrepancies in Tealium AudienceStream often arise when event data is incomplete or inconsistent, causing fragmented or duplicate profiles. Trackingplan validates the consistency of event attributes and identity stitching in your AudienceStream implementation. It helps you identify where data flows are broken or inconsistent, enabling you to correct identity resolution rules or fix data ingestion issues. This leads to unified, accurate customer profiles and improved audience management.

How can Trackingplan help with AudienceStream data governance?

Maintaining compliance and governance over your customer data is essential with AudienceStream CDP, especially under privacy regulations. Trackingplan provides continuous auditing of your data collection processes, verifying that only approved data attributes are collected and that sensitive data is properly masked or excluded. It helps enforce data governance policies automatically, reducing compliance risks and ensuring your CDP implementation respects privacy regulations.

Can Trackingplan detect missing or malformed events in AudienceStream?

Yes, Trackingplan continuously monitors your AudienceStream event streams for missing or malformed events that could disrupt downstream processing. It alerts you immediately when required events fail to fire or when event payloads do not match expected schemas. This helps maintain the reliability of your real-time customer data and improves the accuracy of analytics and marketing automation built on top of AudienceStream.

Still have questions?

Can’t find the answer you’re looking for? Chat to our support team.

Our results in numbers

Achieve more by getting rid of manual processes and validations

From weeks to hours

Reduction of measurement error resolution time

90%

Hours saved per month per FTE

30h

Reduction in data errors in reports

80%

Improvement in campaign performance

15%

Efficiency increase in marketing automation

25%

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