Avoid errors and improve data quality in Web Stats

Web stats are the foundation of your digital analytics: page views, sessions, users, bounce rate, and other core metrics help you understand how people interact with your website. But when these numbers are off—due to broken tags, blocked scripts, or incorrect configurations—it’s difficult to trust your dashboards. Trackingplan automatically monitors your web stats tracking to catch problems as soon as they happen, helping you ensure that your metrics are always reliable.
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COMMON PROBLEMS

Most common mistakes when using Web Stats

Incorrect or Duplicate Pageview Events

Challenge: Pageview events fire multiple times or not at all, especially in SPAs or when tags are misconfigured.

Impact: Distorts metrics like session count, bounce rate, and average time on page.

Missing Consent-Aware Tracking

Challenge: Events don’t respect user consent preferences or cookie banners aren’t properly implemented.

Impact: Risks GDPR/CCPA non-compliance and skews audience and session metrics.

Session Stitching Errors Across Devices

Challenge: Inconsistent user identification or lack of cross-device tracking.

Impact: Inflated user counts and fragmented customer journeys.

Sampling in Analytics Tools

Challenge: Platforms like GA4 sample data at high volumes.

Impact: Leads to incomplete or misleading insights, especially when validating small segments.

Discrepancies Between Platforms

Challenge: Data in web stats tools doesn’t match CRM, A/B testing, or ad platforms.

Impact: Reduces trust in analytics and complicates campaign ROI measurement.

Auto-Detection of Pageview Issues

Identify duplicated, missing, or misplaced pageview events that impact session metrics.

SPA and Consent-Aware Monitoring

Validate correct tracking across dynamic routes and ensure compliance with cookie consent frameworks.

Instant Alerts on Data Drops

Get notified the moment key metrics or tags stop firing—before it affects reporting.

Cross-Tool Validation for Accuracy

Compare data across your analytics stack to detect mismatches and avoid costly blind spots.

HOW TRACKINGPLAN HELPS

How Trackingplan solves your problems with Web Stats

Trackingplan adds robust error detection to Web Stats-based tracking setups, ensuring consistent data quality even in custom or API-less environments.
Support

Frequently asked questions about Web Stats

My sessions doesn't match between GA4 and my CRM

Session discrepancies between Google Analytics 4 (GA4) and your CRM usually indicate missing or inconsistent tracking on key pages or user interactions. Trackingplan automatically spots these tracking gaps by comparing the actual user behavior on your site with your defined data specifications. By identifying inconsistencies such as missing session identifiers or dropped events, you can fix data mismatches and improve the accuracy of customer journey and revenue attribution analysis.

What if my cookie consent isn’t respected in analytics?

If your cookie consent preferences aren’t respected, your analytics may capture data prematurely, risking privacy violations. Trackingplan checks whether analytics events fire only after users have granted consent. It continuously validates your consent management implementation to ensure full regulatory compliance and alerts you if any events bypass consent requirements, helping you maintain data privacy standards.

How do I know if my tracking is broken after a website update?

Website updates can inadvertently break tracking scripts or cause metrics to drop unexpectedly. Trackingplan provides real-time monitoring and immediate alerts when a tag stops firing, parameters go missing, or key metrics deviate from expected values. This proactive alerting enables your team to quickly identify and fix broken tracking before it affects your data quality and business decisions.

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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