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4 posts
17 March
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02:06
Google Optimize is a popular conversion rate optimization (CRO) tool from Alphabet (parent company of Google). With it, you can run A/B, multivariate, and redirect tests to figure out which web page designs perform best.
Google Optimize seamlessly integrates with Google Analytics (GA). It also has a free tier. So many marketers chose it as their default A/B testing tool…until recently.
Google will sunset Google Optimize by 30 September 2023.
Starting from this date, Google will no longer support Optimize and Optimize 360 (premium edition). All experiments, active after this date, will (...) -- Analytics Tips
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02:50
Google Optimize is a popular A/B testing tool marketers use to validate the performance of different marketing assets, website design elements and promotional offers.
But by September 2023, Google will sunset both free and paid versions of the Optimize product.
If you’re searching for an equally robust, but GDPR compliant, privacy-friendly alternative to Google Optimize, have a look at Matomo A/B Testing.
Integrated with our analytics platform and conversion rate optimisation (CRO) tools, Matomo allows you to run A/B and A/B/n tests without any usage caps or compromises in user privacy. (...) -- Analytics Tips
13 March
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02:26
Few sales happen instantly. Consumers take their time to discover, evaluate and become convinced to go with your offer.
Multi-channel attribution (also known as multi-touch attribution or MTA) helps businesses better understand which marketing tactics impact consumers’ decisions at different stages of their buying journey. Then double down on what’s working to secure more sales.
Unlike standard analytics, multi-channel modelling combines data from various channels to determine their cumulative and independent impact on your conversion rates.
The main benefit of multi-touch attribution is (...) -- Analytics Tips
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03:39
If you struggle to connect the dots on your customer journeys, you are researching the correct solution.
Multi-channel attribution models allow you to better understand the users’ paths to conversion and identify key channels and marketing assets that assist them.
That said, each attribution model has inherent limitations, which make the selection process even harder.
This guide explains how to choose the optimal multi-touch attribution model. We cover the pros and cons of popular attribution models, main evaluation criteria and how-to instructions for model implementation. Pros and Cons (...) -- Analytics Tips
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