Tag

Customer Engagement

All articles tagged with #customer engagement

Starbucks Relaunches Three-Tier Rewards to Drive Frequent Visits
business1 month ago

Starbucks Relaunches Three-Tier Rewards to Drive Frequent Visits

Starbucks will reintroduce a three-tier Starbucks Rewards program in North America on March 10, reviving a tiered system to reward frequent visitors: Green (<500 stars) with a birthday item, early access, and six-month star expiry; Gold (500+ stars) with non-expiring stars and 1.2x points per dollar; and Reserve (2,500+ stars) with 1.7x per dollar and access to exclusive merch and events. The update, announced at investor day, also adds a $2 discount for 60 stars and Free Mod Mondays, as part of a broader strategy to boost traffic and profitability.

Home Depot's Earnings Report: Moderation, Rally, and Surpassing Expectations
business2 years ago

Home Depot's Earnings Report: Moderation, Rally, and Surpassing Expectations

Home Depot reported a 3.10% decline in sales for Q3, with revenue slightly exceeding expectations. The company experienced decreased foot traffic and purchases over $1,000, as consumers focused on smaller projects and tightened their belts. Categories like flooring and countertops saw softer engagement, while pro-heavy categories like roofing and insulation performed well. Home Depot aims to strike a balance between transaction volume and ticket size as it navigates the post-pandemic slowdown. The company plans to maintain promotions for Black Friday appliances and seasonal garden items, but has scaled back on discounts for home improvement products.

The Future of Customer Engagement: AI's Impact on Retention and Marketing
technology2 years ago

The Future of Customer Engagement: AI's Impact on Retention and Marketing

The global digital advertising sector is undergoing a transformation as companies adapt to the impending end of third-party cookies and the rise of data privacy laws. Businesses are exploring new advertising techniques and shifting towards using first-party data obtained with user consent. Machine learning (ML) and artificial intelligence (AI) are playing a crucial role in analyzing and extracting valuable insights from raw data to create personalized customer experiences. ML-powered feature engineering can accelerate the process of identifying valuable data, while AI can help maintain and update ML models for accurate predictions. Visualization through business intelligence dashboards allows stakeholders to access and utilize the generated data. The potential of AI and ML in solving real-world problems and achieving unique organizational goals is vast and customizable.