# Exploring the Effects of Attribute Framing and Popularity Cueing on Hearing Aid Purchase Likelihood

## TL;DR

This study examined how product descriptions and popularity cues affect the likelihood of purchasing hearing aids or computers, finding some unexpected consumer behavior patterns.

## Contribution

The study investigates how attribute framing and popularity cues influence purchase likelihood for hearing aids and consumer technology.

## Key findings

- Popularity cues for midrange hearing aids reduced purchase likelihood for entry-level models.
- Premium hearing aids were rated more favorably than premium notebook computers.
- Attribute framing had no significant effect on purchase decisions across technology levels.

## Abstract

Background/Objectives: This study explored how attribute framing (lifestyle-focused vs. technology-focused product descriptions) and popularity cueing (presence or absence of a “best-seller” label) influenced purchase likelihood for a fictitious selection of hearing aids (HAs) among Canadian adults aged 40 years and above. The study further aimed to investigate whether the effects observed were unique to HAs or applicable to less-specialized consumer technology contexts. Method: A 2 × 2 × 2 mixed experimental design compared attribute framing and popularity cueing effects across HAs and notebook computers at three technology levels (entry-level, midrange, and premium). Participants (n = 122) provided ratings indicating their purchase likelihood for each product. Results: Attribute framing showed no significant influence on purchase decisions across technology levels. The presence of a popularity cue that the midrange HA was the best-seller negatively affected purchase likelihood for the entry-level HA, with higher purchase likelihood ratings observed when this cue was absent. Participants expressed stronger purchase likelihood for premium HAs compared to premium notebook computers. Notably, these two effects were not statistically significant following correction for multiple comparisons. Conclusions: Popularity cues for HAs may have inadvertent consequences for consumer perceptions of models with differing technology levels. Findings also suggest potentially greater willingness to invest in premium health-related technologies versus familiar consumer technology. Further research involving current HA users or candidates is needed to better understand these findings.