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9 Types of Web Analytics Tools — And How to Know Which Ones You Really Need

Parse.ly

Enter web analytics tools. Note: This is a comprehensive guide, so if it’s too long to read, we can answer any questions you might have about web analytics. Web analytics tools can help you find the answer to nearly any question you have about your website or customers. Content analytics tools. SEO analytics tools.

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Performance Writing 101: How to Apply Data & Analytics to Your Content [Video]

Anyword

By leveraging AI-powered analytics, you can uncover patterns and trends that will most effectively drive marketing results. Are you achieving your goals of more signups, demos and leads? Are you delivering your audience real, original, up-to-date and valuable information? Is your content tied to the rest of your marketing techstack?

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How to Boost Ad Performance By Up to 30% with AI and Predictive Analytics

Metadata

According to Suzanne Kagan , VP of Marketing at Anyword , this level of performance improvement is actually possible if you pair artificial intelligence (AI) with predictive analytics. For example, are you creating a brand awareness ad for Facebook or trying to drive demo requests on LinkedIn ? What else can predictive analytics do?

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How Technology Places CMOs at Risk of Losing Their Strategic Role

Vision Edge Marketing

To address this pressure, CMOs have invested significant resources, especially in terms of technology, to facilitate their ability to improve alignment, accountability, analytics, and operational excellence. The article reiterates “the continuous pressure on CMOs to demonstrate how they are driving overall business performance.”

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Show Your Social Media Team How Their Work Impacts Sales

Oktopost

Share all important data with your social media people and give them visibility into some of the relevant Salesforce analytics without direct access to your CRM. Here are just a few samples of what you can build: A B2B social media manager can get lots of invaluable information from this dashboard. Let us know!

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Embracing a Contemporary Marketing Mix Modeling Approach Using Pooled Regression

Mass Analytics

The deployment of Pooled Regression allows to: • Increase data size and the confidence in all measures (T-stat): Often, the most practical way to decrease the margin of error is to increase the sample size. This means that the more observations we have, the narrower the interval around the sample statistic is.

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What Generative AI Leaders Know That You (Probably) Don’t

Salesforce Marketing Cloud

Get articles selected just for you, in your inbox Sign up now AI analytics and predictive modeling helped Schneider reduce inventory levels to avoid a glut while balancing its ability to efficiently deliver products like transformers, switches, and prefabricated substations. What might that look like in the future? The other upshot?