2024 is shaping up to be a pivotal year for shoppers and retailers alike. With consumer habits continuing to evolve post-pandemic and economic trends creating new opportunities and challenges, the holiday shopping landscape is more dynamic than ever. According to Accenture’s Annual Holiday Shopping Survey, consumers plan to spend an average of $613 this holiday season, reflecting a 4% increase from last year's $591.
What’s top of the list for marketers?
Personalization at Scale
Personalization is no longer just a nice-to-have—it’s expected. Use consumer data to offer highly relevant product recommendations and dynamic ads. For example, using past purchase behavior to create personalized gift guides can increase conversion rates significantly.
Social Commerce
Social media platforms like Instagram and TikTok remain powerful drivers of holiday shopping, especially among younger consumers. With 41% of Gen Z and Millennials influenced by social ads, investing in shoppable posts, influencer partnerships, and engaging short-form video content is essential to connect with this audience.
Omnichannel Experiences
Many shoppers now blend online and in-store experiences, making seamless integration across platforms crucial. Enable options like "buy online, pick up in-store" (BOPIS), offer smooth returns across all channels, and ensure your online and in-store experiences are synchronized for ease and convenience.
What can Datonics Offer?
At Datonics, we provide a wide range of shopping intent data types to help businesses understand consumer behavior and improve targeting strategies:
Shopping Intent > Etail (300100)
Shopping Intent > Value Shoppers (300200)
Shopping Intent > Value Shoppers > Coupon Shoppers (300201)
Shopping Intent > Value Shoppers > Coupon Shoppers > Online Coupon Shoppers (300205)
Shopping Intent > Holiday and Special Event Shoppers (300300)
Some of these audiences are highly personalized, allowing businesses to target specific consumer behaviors and preferences. By leveraging data on shopping intent, we can create tailored audiences based on individual interactions, past purchases, and browsing patterns. This enables more relevant and effective marketing strategies, helping brands connect with customers at the right moment in their decision-making process:
Shopping Intent > Holiday Big Box and Club Store Shoppers (300375)
Shopping Intent > Holiday Deal Shoppers (300380)
Shopping Intent > Holiday Gift Basket Shoppers (300385)
Premium > Past Purchase - Seasonal Gifts (770610)
You can also target specific age groups to keep your audience within a defined demographic range. By segmenting your audience based on age, you can tailor your messaging and offers to better align with the interests and preferences of each group. This approach ensures that your marketing efforts resonate more effectively with consumers, whether you're focusing on Generation Z, Millennials, or older age segments. Additionally, this allows for more precise data-driven decisions that enhance engagement and drive conversions across different age brackets:
Demographics > Age > Baby Boomers (400215)
Demographics > Age > Gen X (400216)
Demographics > Age > Millennials (400217)
Demographics > Age > Gen Z (420500)