#453: AI for Localization and Personalization with Stephanie Shreve, PowerChord

Today we’re going to talk about Localization, Personalization, and AI, and how using these methods and tools well can increase ROI and improve the multi-channel customer experience.

To help me discuss this topic, I’d like to welcome Stephanie Shreve, Chief Marketing Officer at PowerChord.

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SYNOPSIS

In this episode, the Stephanie Shreve from PowerChord emphasizes the importance of marketers dedicating time to reading and learning in order to keep up with the rapidly changing landscape. They highlight that with the constant changes, setting aside time to learn will help marketers stay at the forefront and avoid being left behind. While acknowledging that it may not always be easy, the guest believes that marketers should make an effort to learn as often as possible, considering it part of their job.

Another topic discussed in the episode is the significance of predictability and demonstrating results for businesses. The guest speaker emphasizes the importance of being able to show businesses that their investment will yield specific results. This predictability is seen as beneficial for businesses in terms of planning and decision-making. The guest suggests that AI can contribute to this predictability by analyzing real-time and historical data to identify potential buyers and buyer groups that may have been overlooked. By having a more predictable understanding of what is likely to happen, businesses can target new markets and expand their brand's reach. Overall, the episode highlights predictability and the ability to show results as crucial factors for businesses to consider in their marketing strategies.

The speakers also discuss how organizations should measure success in conversational marketing based on their goals. They emphasize the importance of analyzing where people drop off in their interactions. By identifying the reasons for drop-offs, organizations can gain valuable insights and make improvements to their conversational marketing strategies. For instance, if users are not completing a product recommendation chat, organizations can investigate whether all questions are being answered or if users are only answering a few before stopping. This analysis helps organizations understand user tolerance for questions and engagement levels. Additionally, organizations can identify areas where questions are not being answered properly and make adjustments to enhance the user experience. Overall, measuring success in conversational marketing involves analyzing user behavior and making improvements based on the insights gained.

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