Social media and digital marketing have fundamentally changed how we do business. While online shopping was once a niche alternative to brick-and-mortar commerce, it is increasingly becoming the preferred method of shopping for a growing segment of the population.

Almost 21% of retail purchases were made online in 2023, a figure anticipated to increase to 24% in the coming year^[1]. Simply put, the eCommerce space is rife with opportunity and competition—largely dominated by eBay and Amazon—and in order to best capture and convert leads, businesses are prioritizing their eCommerce platforms to maximize sales.

Retailers and brands have faced a challenging 2024, making a successful holiday season more crucial than ever. According to Adobe Analytics, online shoppers spent a record-breaking $10.8 billion this Black Friday. The biggest retail event of the year gave Listrak’s savvy clients an opportunity to outperform the competition and win consumer dollars with AI-powered, hyper-targeted, omnichannel messaging. Our experts have crunched the numbers and analyzed retailer strategy and results in order to bring you an informative recap of our Black Friday retail marketing data.

Ecommerce is evolving at lightning speed. To thrive, brands are staying agile by tracking trends, analyzing customer data and embracing new technologies – think AI and social commerce. Recently, BigCommerce and Retail Dive’s studioID surveyed 155 retail executives from industries, including fashion, electronics and manufacturing. These leaders, from companies with revenues ranging from $1 million to over $1 billion, shared how they’re navigating the shifting landscape and using innovative strategies to meet changing consumer demands.

There can be big discrepancies between what people tell us in surveys and the truth. Due to various motivational factors, respondents tend to over and under claim when giving certain answers. In this paper, we explore why people lie, and what you can do through question design to reduce dishonest and biased answers.

Consider carefully pre-filtering respondents, asking questions in better ways, and effectively priming respondents to give more honest answers. We also present research-on-research findings from various experiments conducted in recent years.

Find out how social measurement can drive real results for your business when you use the right metrics and tools. Social media measurement is all about using data to make informed decisions that support and align with business goals. In this post, we’ll explore how social measurement can drive real results for your business.

Key takeaways

Social media measurement involves tracking social metrics using analytics tools to assess the success of your social strategy and how it aligns with broader business goals.

Retailers are challenged to deliver connected customer experiences across touchpoints, but they often lack data integration from these channels and cohesive communication across teams. This results in missed opportunities to provide a cohesive and personalized shopper journey. With disconnected data management, retailers risk delivering inconsistent messaging, confusing promotions, and disjointed experiences that deter customers from converting and becoming loyal brand advocates.

Explore how empathetic survey designs can elevate the data you collect from the people who matter most to your brand - driving better data-driven decisions. Dive into the world of empathetic survey design with our comprehensive guide with research-backed advice. Discover how to connect on a deeper level with respondents, collecting authentic and nuanced data that traditional surveys often miss. 

This research not only includes forecasts, but best practices, some case study examples and key insights for which areas of the income statement will be most impacted by AI. Whether it is AI/ML or generative AI, the transformation of the grocery industry is no longer a future concept; it is happening now. With the convergence of technology, data, and the evolving needs of consumers, the industry is at the brink of a revolution, and artificial intelligence (AI) and machine learning (ML) are at the core of this change.