E-commerce

Problems with

E-commerce Tracking in Google Analytics?

Bridging the data gap

Discrepancies between your analytics and back-end sales system – the data gap – is a common problem. Allowing for a 5% discrepancy is a good idea due to cancellations, returns, order modifications etc. But in many cases the difference is larger due to a failure in the set-up.

Detecting issues quicking

Verified Data can quickly spot e-commerce setup issues or unusual values. For example, duplicate orders, suspiciously large/small transactions, misaligned sales funnel etc.

Building data trust

When data from Google Analytics does not match other sources managers quickly lose trust. This results in the loss of a competitive advantage that your data brings to your business. Verified Data helps you regain trust in your e-commerce data so you can integrate it with your marketing efforts to fully optimise your transactional website!

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“Having control over our data accuracy is key for evaluating the performance of our marketing budget and e-commerce funnel. As an in-house tool, Verified Data allows us to focus our time and budget – spending less time on fixes and more on analysing and A/B testing.”
Fredric Johansson – E-commerce Manager at Runelandhs.se

Key benefits for e-commerce websites

  • Align Transactions

    Ensure your valuable data is taken seriously by aligning Google Analytics transactions with your back-end sales system.

  • Quickly Identify Issues

    Instantly spot inconsistent or missing data e.g. fraud, spam, errors etc., before they become serious.

  • Monetise Your Entire Site

    Sync your marketing data with transactions to predict “value” i.e. cost per visitor, cost per lead etc.

  • Verify Attribution

    When all transactions can be traced to a source, medium and campaign, you achieve trust in your attribution models.

  • Comparing Apples

    Consistent transaction tracking across all products and campaigns means the full power of Google Analytics can be used.

  • Longitudinal

    Be able to take a long term view of your data so that you really can compare this quarters results with the same time last year.