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How to Conduct Consumer and Retail Market Research

Alpha Sense BI

To stay competitive in the current economic climate , companies need to conduct comprehensive and efficient market research. Likewise, executive leadership must have a thorough understanding of the competitive landscape they are operating in while staying keenly aware of evolving consumer trends.

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AI is Disrupting SEO in Huge Ways in 2023

Smart Data Collective

Marketing companies spent over $35 billion on AI in marketing research alone last year, but they are likely to spend as much on AI-driven SEO. The competitive landscape prioritizes page one results. Data paints a picture customized to specific content landscapes. They include the following: Keyword research.

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AI-Powered Competitive Intelligence: Transforming Business Strategies in the Digital Age

SCIP

SCIP Insights AI-Powered Competitive Intelligence: Transforming Business Strategies in the Digital Age In today's hyper-competitive landscape, staying ahead of the curve is essential for businesses striving to thrive. Traditional methods of gathering competitive intelligence are no longer sufficient in the digital age.

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Competitive Intelligence Spotlight #39: Beth Goode, Director of Competitive Intelligence & Price To Win at SOS International

ArchIntel

Beth Goode , director of Competitive Intelligence and Price-To-Win with SOS International (SOSi), recently spoke with ArchIntel regarding how to find talent and construct a Competitive Intelligence team within a company, as well as how to gather and synthesize data to provide actionable insights to decision makers and stakeholders.

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Reboot Competitive Intelligence by leveraging competitive intelligence solution for Integrating Primary and Secondary Research

Contify

How AI-enabled competitive intelligence solutions can drive informational advantage. In our experience, effective competitive intelligence integrates information from both primary research and secondary monitoring. The secondary monitoring provides a comprehensive overview of the market and competitive landscape.

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Sentiment Analysis: Understanding Perception for Better Marketing

mention

Then it utilizes natural language processing (NLP) algorithms that recognize and interpret linguistic nuances, context, and emotional cues within the text and categorize this data as positive, negative, or neutral. Sentiment analysis algorithms can be rule-based, automatic, and hybrid.

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Banks Merge Data Mining and CRM Tools to Boost Profitability

Smart Data Collective

Banks that take immediate action based on their data analytics fraud scoring algorithms, such as blocking irregular transactions, can prevent fraud before it happens. Enhancing customer service within the banking industry is essential to staying competitive and remaining profitable.