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How to use AI analytics for targeted business decisions

Sprout Social

It is used to identify patterns and trends in data for informed decision-making. When applied in marketing, AI analytics extracts meaningful insights from various data sources such as social media listening, review websites, customer forums and survey data. Sample this.

Analytics 114
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Make Each Dollar Count: How to Maximize Marketing Budget in 2024

Oktopost

Research your market The 2023 CMO Survey found that marketing budgets account for more than 10% of their organization’s total budget , and contribute to about 9% of their organization’s revenue. Here are some places to start your research: Customer Surveys : Gather insights directly from your target audience through surveys.

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What the Rise of Sponsored Social Means for Your Business

Convince & Convert

For the first time this year, the study also surveyed consumers to see how they feel about Sponsored Social—a sentiment that has never been measured in the industry. The consumer portion of the study uncovered findings on consumers’ social media usage, media consumption patterns, and perceptions around Sponsored Social’s effectiveness.

Sample 60
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Not Tracking Social Media ROI is Your Fault

Convince & Convert

There’s no question that the social media ROI question continues to befuddle business – 41% of respondents to an eConsultancy survey of 1,000 companies and agencies in late 2011 had absolutely no idea of social media’s financial impact. (click here to view and download the Social Media ROI Cookbook on Slideshare).

ROI 140
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Data: Screening, Diagnosis and Treatment

Social Media Network Marketing

Strange patterns – Are there patterns that imply cheating rather than honest answers? Sometimes you must review a cross-section of different respondents' answers, to identify issues such as a skip pattern that was specified incorrectly. Excess of data – Are there duplicate responses?

Data 50
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Here Are 9 Ways That AI Will Change Marketing

BeingOptimist

The model is then able to make predictions on new, unseen examples based on the patterns it learned in the training data. Unsupervised learning: This involves training a machine learning model on an unlabeled dataset, where the model must find patterns and relationships in the data without guidance. Identify patterns and tendencies.

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Remembering the Dangers of Social Media Research

Convince & Convert

This is not factually correct, as the survey did not ask about love vs. hate, but rather about “preference.” Here’s how: ExactTarget 2012 Channel Preference Survey. Survey Sample: 1,481 Americans, using MarketTools database, randomly sampled and weighted to be representative by age and gender.

Research 127