Avoid errors and improve data quality in Baidu

Baidu is a powerful search engine and advertising platform in China, used by businesses to drive traffic and acquire customers through search ads and display campaigns. However, tracking Baidu campaigns can present challenges, including incorrect event tracking, attribution errors, and data discrepancies. Trackingplan automates Baidu tracking validation, ensuring that your campaign data is accurate and reliable and detecting issues before they affect campaign performance.
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COMMON PROBLEMS

Most common mistakes when using Baidu

Incorrect Event Tracking

Challenge: Failure to track key actions, such as clicks, conversions, and sign-ups.

Impact: Incomplete data that leads to inaccurate performance analysis and missed opportunities.

Attribution Issues with Multiple Traffic Sources

Challenge: Tracking multiple traffic sources (e.g., Baidu search ads and display) without proper attribution setup.

Impact: Misattributed conversions and inaccurate ROI reporting.

Inconsistent UTM Parameters Across Campaigns

Challenge: Variability in UTM parameters can break campaign consistency.

Impact: Fragmented data and difficulty in analyzing campaign performance.

Click Fraud or Invalid Traffic

Challenge: Undetected invalid clicks or fraudulent traffic.

Impact: Wasted advertising spend and skewed performance metrics.

Data Discrepancies Between Baidu and Analytics Platforms

Challenge: Inconsistencies between Baidu data and other analytics tools.

Impact: Misleading insights and poor decision-making.

Real-Time Event Tracking Validation

Automatically validate key events, ensuring all relevant actions are captured for accurate campaign analysis.

Cross-Platform Attribution Monitoring

Ensure that traffic sources and conversions are properly attributed, even with multiple traffic channels.

UTM Parameter Validation

Track and validate UTM parameters across all campaigns to maintain consistency and avoid fragmentation.

Click Fraud Detection

Detect fraudulent clicks and invalid traffic to prevent wasted ad spend and improve campaign performance.

HOW TRACKINGPLAN HELPS

How Trackingplan solves your problems with Baidu

Trackingplan ensures the integrity of your Baidu campaign data, providing real-time monitoring, error detection, and cross-platform validation.
Support

Frequently asked questions about Baidu

Why is my Baidu conversion tracking incomplete?

Missed conversions can happen due to broken scripts, firing order issues, or poor tag configuration. Trackingplan automatically checks your Baidu event tracking setup to ensure every valid conversion is captured accurately. You’ll be alerted to any gaps or delays before they impact your reports.

How can I improve my attribution accuracy?

Attribution becomes unreliable when events are delayed or improperly linked to user journeys. Trackingplan ensures that conversions in Baidu are properly attributed, even when users switch devices or come from multiple traffic sources, so you can trust your performance insights.

How do I maintain consistent UTM parameters  in my Baidu campaignsin my Baidu campaigns?

UTM inconsistencies are a common cause of fragmented data. Trackingplan validates UTM parameters in real time across your Baidu campaigns to ensure consistency and prevent misattributed sessions, empowering more precise performance analysis.

Why are my Baidu data and Google Analytics not aligned?

Data mismatches between Baidu and Google Analytics can indicate tracking issues or misconfigured tags. Trackingplan performs cross-platform validation to identify inconsistencies, giving you confidence in your data wherever you analyze it.

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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