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Three Web Analytics Tools Worth a Close Look

Webbiquity

Where it gets interesting is in the correlations it surfaces. It’s difficult to give relevant examples because there are literally millions of possible correlations, and which ones the algorithm surfaces will be unique to your website. ” There are 26 pages of charts, correlations, and recommendations.

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What Digital Marketers Can Learn From Their Analytics Data

Biznology

For example, rather than simply looking at aggregate data for pages per session on your website, look at that same metric broken down by traffic source. Finally, you’ll want to find ways to correlate your activities across various channels. From those basic indicators, you’ll want to look a little deeper. Connecting the Dots.

Analytics 141
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It’s not the size of your martech stack, it’s your range of use cases

chiefmartech

Better martech capabilities are strongly correlated with better market performance. For example, A/B testing offers through an email campaign. .” You will hopefully not be surprised to learn that the leaders have mostly gained market share in the past couple of years, while the laggards have mostly lost market share.

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Google, GA4, and the rising importance of data analytics

ClickZ

By aggregating data – rather than having multiple views – it is aimed to help you better understand the online user journey. Read more on ClickZ: Digital CX is built on good data This is especially true, with 48% of B2B marketers facing difficulty integrating/correlating data across multiple tools.

Analytics 135
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How To Measure Your Content’s Revenue Efficiency

Adobe Experience Cloud Blog

In this post, I’ll use web content as an example to demonstrate how we can measure performance. For this example, let’s define web content as blog posts and ebooks. See the example results below. For example, the length of time it takes to rank in organic search could be a factor. Let’s get started.

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How AI insights improve decision making

Sprout Social

The visualization helps strategists find hidden patterns, trends and correlations. For example, you can anticipate customer needs and gauge opinions through social media listening to monitor chatter around your brand or competition. As an example, let’s look at a bank that wants to improve its customer service.

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CMO Salary Data Suggests Declining CMO Influence?

Marketing Insider Group

They aggregated data from the top S&P 1500 firms, looking at the salary data of the c-suite. For example, eCommerce companies collect a large amount of data on searches, preferences, and buying behaviors. Last, the authors correlate the results of the acquisition trend. It means it’s evolving. The findings?

CMO 315