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The Basic Guide to Marketing Analytics and Data-Driven Marketing

Smart Data Collective

Introduction: What is Marketing Analytics and How Does it Help Marketers? Marketing Analytics is the process of analyzing marketing data to determine the effectiveness of different marketing activities. Types of Data Used in Marketing Analytics. Data is a constant in today’s world.

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Multi-Touch Attribution: The Marketer’s Secret Weapon to Make Smarter, Data-Driven Decisions

Sisense

The problem for marketers is how much weight to attribute to each channel to determine budget allocation and ROI. Get a unified view of all your marketing data sources. Learn more. We have to adopt iterative and agile learning methods for campaigns, and we can do this with marketing analytics.

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8 Steps to Leveraging Analytics to Create Successful Ecommerce Stores

Smart Data Collective

While there is no debating the huge benefits that analytics technology brings to the ecommerce sector , many experts are pondering what those actual benefits are. New ecommerce startups are discovering interesting ways to utilize analytics. Those that have a solid strategy predicated on it will have a higher ROI.

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Deliver Step Change Impact: Marketing & Analytics Obsessions

Occam's Razor

Learn what Session Quality is in Google Analytics, then learn how to use it in your campaigns to improve conversions. Learn what Smart Bidding is in Google Ads, then learn how to use it in your campaigns to improve outcomes. Also consider the Machine Learning opportunities for Marketing beyond creative.

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Benefits of SMS for Data-Driven Marketing Strategies

Smart Data Collective

Some of the benefits are listed below: You can use data analytics to monitor engagement and see how many customers open your texts. You can use machine learning algorithms to script better text messages to connect with your customers. SMS Marketing Is Affordable and SMS Can Provide an Even Better ROI.

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Welcome to the Era of the Augmented Marketer

Sisense

Translating for global markets: AI translation tools can broaden marketers’ audiences and allow better penetration into global markets. We’re leaning on more and more machines to help us identify patterns or anomalies,” said Scott. Big impact, after all, is the end goal of augmented marketing.

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Make or Buy?

Darkhorse

Developing analytics to reduce fraud would be a huge competitive advantage if it were successful. Fraud analytics is one of the most valuable applications of machine learning. Acme is skeptical of analytics and wants to see some actual results in the first quarter. If done well, the ROI can be spectacular.