Only 46% of marketers say their teams are well equipped to handle new trends and technologies, per results from a survey by Aquent and the American Marketing Association (AMA). The study, which gauged marketing salaries and recruitment trends, also found that slightly less than half of the respondents feel that they have the people needed on their team to meet the organization’s marketing objectives. Despite these challenges, though, 7 in 10 agree that their marketing strategy will positive impact their organization financially this year.
Overall, 44% of marketers surveyed are expecting an increase in budgets this year, in keeping with recent research showing a general upwards trend in this area.
Majority Happy in Jobs, Expect Compensation Hike
Further details from the Aquent and AMA survey indicate that marketers are bullish about their compensation outlook this year, with 7 in 10 expecting it to increase, versus just 7% who expect to suffer through a cut.
Meanwhile, 56% of respondents are satisfied with their current job, though a sizable 32% are dissatisfied. Among those, though, roughly one-third believe their job satisfaction will rise this year, perhaps as a result of anticipated compensation hikes.
About the Data: The survey was conducted online within the United States by Inavero on behalf of Aquent and the American Marketing Association among 2,620 marketing professionals, from senior-level executives to entry-level marketers across a variety of industries and organization sizes. Marketing professionals working within agencies represented 24% of responses. Marketers from health-care, financial services, professional services, and retail, e-tail & distributors were also well represented, with each providing more than 15% of the total responses.
The survey was conducted between the Oct. 31 and Nov. 19, 2012. Respondents included marketing professionals on lists provided by both Aquent and AMA. With a pure probability sample of 2,620, one could say with a 95% probability that the overall results have a sampling error of +/- 1.9 percentage points. Sampling error for data from sub-samples is higher and varies.
