THE PERCEIVED EXPECTATIONS OF AN OBSERVER CAN INFLUENCE THE OBSERVED
Description
"The observer expectancy effect refers to how the perceived expectations of an observer can influence the people being observed.
Usually used in the context of research, to describe how the presence of a researcher can influence the behaviour of the participants in their study.
Research:
Advertisers who run experiments to determine how successful they will be often let the observer effect misinterpret the results or make participants act differently. In one study, participants initially responded favorably to predict over a 3% conversion increase. By the 18th day though, the increase dropped lower than usual. If the experimenter used the data at the beginning to confirm their idea they would have lost on conversions."
Application
Ad Copy and Creative Testing
Marketers can unintentionally influence the performance of their digital ad campaigns if they have preconceived notions about what ad copy or creative elements will be the most successful. To apply the Observer Expectancy Effect intentionally, marketers can deliberately set up A/B tests or split tests where they manipulate the variables they expect will lead to better results. For example, if a marketer believes that a certain color scheme will be more appealing to their target audience, they can create variations of ad creatives with different color schemes and track the performance. By being mindful of their expectations and adjusting their experiments accordingly, they can gain insights into whether their preconceived notions are accurate or not.
Email Marketing
In email marketing, the Observer Expectancy Effect can be leveraged by altering the timing and content of email campaigns based on the marketer's expectations about subscriber behavior. For instance, if a marketer believes that their subscribers are more likely to open and engage with emails on weekends, they can schedule email campaigns accordingly. They can also customize email content and offers based on their expectations of subscriber preferences and interests. Afterward, they can analyze the results to see if their expectations align with the actual subscriber behavior, and adjust their future campaigns accordingly.
