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Headlines
10 marketing trends to watch now | TechTarget, 24 may 2026
Owning the Seams: Where CX Leadership Earns Its Seat | CMSWire, 23 may 2026
How accessible packaging is changing the retail experience | Retail Customer Experience, 22 may 2026
Marketing Media Money: Advertising Spend | CNBC Africa, 22 may 2026
EMPLOYER BRANDING HAS LOST ITS WAY – AI WILL MAKE THAT IMPOSSIBLE TO HIDE | Recruiter, 21 may 2026
Branding Touchpoints and Why They're Vital | American Coin-Op, 21 may 2026
UK researcher studies how sensory cues in retail influence consumer behavior | Lane Report, 20 may 2026
Generative AI in Marketing: Five Steps to Scale for Real ROI | Bain & Company, 19 may 2026
In the age of AI and data, market visits remain the real source of consumer insight | Exchange4Media, 18 may 2026
Redesigning Your Marketing Organizaition for the Agentic Age | Harvard Business Review, 08 may 2026
Marketing Anchors: The case for capability in an era of transformation | Ipsos, 19 march 2026
Trendspotting in 2026 - How brands can separate passing fads from valuable consumer insights | AdAge, 05 march 2026
July 2023
Mohammad Anas Wahaj | 26 jul 2023
According to the recent research study, 'Influencer marketing and the growth of affiliates: The effects of language features on engagement behavior' (Authors: Parker J. Woodroof of University of Alabama at Birmigham; Holly A. Syrdal of Texas State University; William C. McDowell of Texas State University; Susan Myers of the University of Central Arkansas; Sandipan Sen of Southeast Missouri State University), published in the Journal of Business Research (August 2023), traditionally major brands have embraced affiliate marketing programs, but the factors influencing engagement with influencer-generated content have remained largely unexplored. To bridge this gap, the research team applied the Elaboration Likelihood Model to investigate how the linguistic features of influencers' affiliate marketing posts influence consumer behaviors. Wikipedia defines Elaboration Likelihood Model (ELM) of persuation, proposed by Richard E. Petty and John Cacioppo in 1980, as a dual process theory describing the change of attitudes. The model aims to explain different ways of processing stimuli, why they are used, and their outcomes on attitude change. ELM intended to provide a general 'framework for organizing, categorizing, and understanding the basic processes underlying the effectiveness of persuasive communications.' Authors of the current study text used text mining and natural language processing techniques and analyzed a vast data set of influencers' affiliate marketing posts from Instagram. The study revealed that specific linguistic styles within these posts can enhance or diminish engagement with the content. Prof. Parker J. Woodroof of University of Alabama at Birmigham, the lead author of the study, says, 'Affiliate influencer marketing is a good example of a social media marketing strategy that is evolving before our eyes in real time...now we see that the industry is maturing and dealing with new concerns around artificial intelligence, bots and fake followers, and brands are still trying to figure out how to utilize influencer marketing in order to drive value...Affiliate influencers offer companies a lower-risk strategy to partner with influencers utilizing a commission-based pay formula rather than an upfront investment, For smaller brands especially, utilizing affiliates may be the winning strategy moving forward.' Micro-influencers could establish trust with their followers and offer authentic brand recommendations, making them an integral part of brand strategies. The study represents a significant contribution to the field as it is the first to examine the impact of language cues on consumer engagement with influencer-generated affiliate marketing content. Moreover, the research helps to understand the dynamics of influencer affiliate marketing and its potential impact on marketing strategies. Read on...
UAB News:
New research reveals how influencers' words impact engagement in affiliate marketing on social media
Author:
Adam Pope
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