EP02: It's a Long Way to the Top (If You Wanna NLP, AI & Analytics) - with Juliana Jackson
Feb 14, 2024
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Juliana Jackson, an expert in AI, NLP, CRO, and Analytics, talks about the importance of structured CRO and the role of AI in digital marketing. She also discusses using NLP to analyze customer feedback and utilizing data from the Google ecosystem.
CRO should be integrated into various teams to ensure collective growth and avoid isolated optimizations.
Having the technical skills to interpret AI-generated output and evaluate its validity is crucial in making informed decisions in digital marketing.
Deep dives
The Definition and Evolution of CRO
Conversion Rate Optimization (CRO) is a complex and multifaceted concept that extends beyond simply increasing conversion rates. It encompasses improving user experience, customer satisfaction, and customer life. While some argue whether CRO is dead or needs to be rebranded, it is crucial to view CRO as part of a larger project rather than a stand-alone task. CRO should be integrated into various teams, such as data, product, and marketing, to ensure collective growth and avoid isolated optimizations. The industry needs to spend time structuring the approach, focusing on experimentation, and defining what truly matters in CRO.
The Role of Artificial Intelligence in Digital Marketing
Artificial Intelligence (AI) has been around for decades, but recent advancements, specifically in generative AI like GPT, have made it more accessible and widespread. However, it is essential to recognize that AI encompasses much more than just generative AI. AI includes machine learning, deep learning, and data analysis. Marketers should not rely solely on AI tools but invest in understanding the foundations and basics of AI. Having the technical skills to interpret AI-generated output and evaluate its validity is crucial to make informed decisions in digital marketing. AI should be seen as a tool to enhance decision-making rather than a standalone solution.
The Power of Natural Language Processing (NLP) for Marketers
Natural Language Processing (NLP) focuses on helping computers interpret and generate human language, which is invaluable in the realm of marketing. NLP enables marketers to process and analyze large amounts of unstructured data, such as customer reviews, social media comments, and more. By employing NLP techniques, marketers can extract sentiment, context, and valuable insights from textual data. For example, NLP can analyze customer reviews to determine sentiment and identify common positive or negative themes. This empowers marketers to make data-driven decisions, prioritize initiatives, and align business goals with customer needs. NLP also extends beyond text analysis and can be used to interpret search queries, optimize landing pages, and identify user anxieties, enhancing overall marketing strategies.
In this episode we talk about how to make the most of new technologies - which aren't really that new - related to AI, Natural Language Process and obviously CRO and Analytics.
Juliana nailed the point, outspoken!
It was a pleasure to have her as a guest, both for the high number of gems she left us to think about and for the humor that distinguishes her.
While waiting for another collaboration, enjoy this new episode of Data Never Lie: Lounge Talk with Juliana Jackson.