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AI in marketing: How to leverage this powerful new technology for your next campaign

IBM Big Data Hub

AI marketing is the process of using AI capabilities like data collection, data-driven analysis, natural language processing (NLP) and machine learning (ML) to deliver customer insights and automate critical marketing decisions. What is AI marketing?

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Benefits of Using AI for Facebook Retargeting In 2021

Smart Data Collective

These are considered to be high intent clicks from the biggest advertising platform in the world. Even the most successful marketing and advertising campaigns miss consumers on their first run. Retargeting uses Facebook campaigns most essential tools to target specific people based on their most relevant data.

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Ten Hidden Gems In Google Analytics: Do Smarter Web Data Analysis!

Occam's Razor

You can easily see how this will influence your marketing and advertising strategy – ad content, ad targeting and so much more. Having this data integrated into your site analytics behavior data means that you don't have to guess which of these groups/segments are more or less valuable.

Analytics 155
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Top 35+ Finance KPIs and Metric Examples for 2020 Reporting

Jet Global

A financial Key Performance Indicator (KPI) or metric is a quantifiable measure that a company uses to gauge its financial performance over time. Under modern day reporting standards, companies are formally obligated to present their financial data in the following statements: balance sheet, income statement, and cash flow statement.

Metrics 98
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Dear Avinash: Attribution Modeling, Org Culture, Deeper Analysis

Occam's Razor

Bjoern Sjut3: My main issue at the moment: How will multi-channel funnels and ROI calculations work in a multi device world? That means: All of these metrics are off. This is exactly why the Page Value metric (in the past called $index value) was created. "Was the data correct?" That is the solution.

Modeling 124
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Google Analytics Tutorial: 8 Valuable Tips To Hustle With Data!

Occam's Razor

When it comes to data analysis, you are usually more likely to see me share guidance on advanced segmentation or custom reports or advanced social metrics or controlled experiments or economic value or competitive intelligence or web analytics maturity or one of an infinite number of difficult, if hugely rewarding, things. Not today.

Analytics 145
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Product Management for AI

Domino Data Lab

Companies with successful ML projects are often companies that already have an experimental culture in place as well as analytics that enable them to learn from data. Ensure that product managers work on projects that matter to the business and/or are aligned to strategic company metrics. That’s another pattern.