Five9 VP Jenn Edwards on Building Customer Experience Amidst Shifting Consumer Behavior
The Agile Brand with Greg Kihlstrom®January 19, 202628 min701 views
29 connections·40 entities in this video→Balancing Deals and Premium Experience
- 🎯 72% of customers consider support quality when deciding where to shop, yet 45% are motivated by better savings or deals.
- 💡 Leaders should view these as complementary expectations, not competing demands, using AI to balance cost efficiency with premium experiences.
- ⚠️ Consumers are fragmented in their responses to economic pressures, with some seeking more deals and spending less, while others are willing to spend more for desired items.
Strategic Planning in a Fragmented Market
- 📊 Scenario-based planning is crucial, considering whether a product commands a higher price due to expected quality and experience.
- 🧠 Retailers must avoid injecting personal biases and instead rely on data to understand how their specific audiences shop.
- 📈 Consumers are savvy, with information at their fingertips, expecting a great experience if they are paying a premium.
Leveraging AI for Customer-Facing Interactions
- ⚡ AI is moving from a back-office tool to a front-line differentiator, delivering both savings and loyalty-building experiences.
- 💡 Retailers should implement AI where consumer willingness exists, optimizing for answer clarity and ease of comparison.
- 🔑 The focus should be on what problem AI solves and the desired business outcomes, ensuring technology enhances, not hinders, the experience.
Building Lasting Loyalty with AI
- 🤝 Trust and transparency are critical for AI adoption and building loyalty; avoid implementing technology for its own sake.
- 💬 While younger generations show willingness to use AI, all demographics want the option to reach a human easily, and a bad AI experience can lead to abandonment.
- 🚀 AI should be strategically injected into the customer journey to improve experiences and provide suggestions, with backend insights optimizing front-end interactions.
Measuring AI's Impact on Customer Experience
- 📈 Key metrics include repeat purchases within the same channels and successful transaction completion via AI.
- 🔍 Track whether customers stay within their chosen channel or switch due to an inability to accomplish their goals.
- ✅ Personalization and speed are key drivers for AI adoption, with customers choosing AI when it offers a more effective or personalized outcome.
The Future of AI in Retail
- 🌐 In a year, AI will likely be a less discussed topic, integrated into the fabric of operations rather than a novelty.
- ⚖️ Brands will focus on finding the balance between AI capabilities and the human element, applying AI more methodically and thoughtfully.
- 🚶♀️ Staying agile involves walking in customers' and employees' shoes, listening, and asking open-ended questions, using AI as a tool to enhance effectiveness.
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What’s Discussed
Customer ExperienceArtificial IntelligenceConsumer BehaviorRetail StrategyAI AdoptionCustomer LoyaltyData AnalysisPersonalizationDigital TransformationCX MetricsAgilityConsumer Psychology
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