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Using Machine Learning in Google BigQuery for Marketing Analytics (part 2)

BigQuery’s Machine Learning (BQML) capabilities allows for the development of models with ease using Standard SQL. BQML can carry out the training, testing and predicting of the model without the need of data transfer to another place. This allows marketers to uncover and predict what will work in their future digital marketing campaigns based upon prior data.

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What is BigQuery to marketers and why should marketers be using it? (part 1)

BigQuery is a data warehousing platform that allows marketers to uncover what’s working and what can be improved in their digital marketing campaigns. With this invaluable insight, BigQuery allows companies to increase the effectiveness of their marketing campaigns by 79% and tailor these campaigns to their relevant goals. This article will demonstrate the tremendous capabilities of BigQuery to marketers and why it is a must-use for every digital marketer today.

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5 Ways to Improve Your Ecommerce Conversion Attribution

A shopper’s journey to making a purchase very likely consists of multiple sessions. The last session would therefore be where the conversion gets its attribution from. This would likely be very misleading. Luckily this issue likely only exists on your reports and Google Ads, if you enable automated bidding, likely knows the best attribution to use (Data-driven Model)

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Enhanced Analytics: The Right Tools for AARRRE

Is your company looking to enhance their analytics capabilities? Many companies are learning that focusing only on a small portion of metrics doesn’t cut it. Many, especially ecommerce, are focusing on metrics like Retention and Referral to grow their business.

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