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October 23, 2024With the rising costs of streaming services, many consumers are reevaluating their subscription habits. From maintaining current services to cutting back or even adding more, the data reveals how different groups respond to these price hikes. This blog delves into various factors that influence subscription decisions, such as age, income, ethnicity, and political affiliation.
General
With the recent rise in streaming service prices, many subscribers are evaluating how they will adjust their subscriptions. Our data shows that 55% of subscribers plan to maintain their current number of streaming services, demonstrating that, despite increasing costs, the majority are not planning to make immediate changes. However, 32% intend to reduce their subscriptions, highlighting a significant group that feels the impact of rising costs. Interestingly, only 13% of respondents plan to increase their subscriptions, which suggests that while price hikes might influence decisions, a small portion of subscribers are still willing to expand their streaming options. This data provides insight into the balance between the rising cost of streaming and the value subscribers place on content.
Political Affiliation
When looking at political affiliation, notable trends emerge. Democrats are more likely to reduce their subscriptions, with 38% indicating a plan to cut back, compared to 29% of Republicans. On the other hand, Republicans are more likely to maintain their current subscriptions, with 59% stating they will keep the same number of services, compared to 48% of Democrats. Independents fall in the middle, with 52% planning to maintain and 31% planning to cut back. This data reflects how political identity may play a role in responses to price hikes in streaming.
Income
Income also influences subscription adjustment plans. Higher earners, particularly those earning $60,000 – $99,999, are more likely to maintain their current subscriptions, with 62% planning no changes. In contrast, lower-income groups, such as those earning under $20,000, are more likely to reduce their subscriptions, with 34% planning cuts. Interestingly, lower-income respondents are also more likely to increase their subscriptions, with 18% planning to add more services, compared to only 10-11% of higher earners. This suggests that income impacts both the likelihood of cutting and expanding streaming services.
Ethnicity
Among different ethnic groups, reactions to streaming price increases vary. Caucasian respondents are the most likely to keep their subscriptions, with 60% reporting no changes, while African-American and Hispanic/Latino respondents are more inclined to increase their subscriptions, with 19% and 18%, respectively. In terms of cutting back, African-American and Hispanic/Latino respondents also lead, showing that these groups may be more reactive to price hikes.
Age
The age breakdown reveals distinct differences in how subscribers are adjusting to streaming price increases. Younger adults, particularly those aged 18-24, are the most likely to cut back, with 40% planning to reduce their subscriptions, followed by 34% of those aged 25-34. Conversely, older subscribers are far less inclined to cut back, with only 23% of those 65+ planning reductions.
As age increases, so does the likelihood of keeping the same number of subscriptions: 76% of those 65+ plan no changes, compared to just 35% of 18-24-year-olds. Younger age groups are also more likely to increase their subscriptions, with 24% of 18-24-year-olds planning to add more services, a stark contrast to older subscribers, where this figure drops to 0% for those 65+. This data shows younger subscribers are more flexible, while older groups are more content with their current subscriptions.
Panel Breakdown
The panel breakdown reveals some notable contrasts. Panel M shows the most stability, with 63% of respondents planning to maintain their subscriptions, while Panel B has the highest percentage (38%) planning to reduce their services. Panels C, F, and I fall in between, with around 30-36% planning to cut back. This data highlights differences in streaming behavior across various panels, with Panel M showing the least responsiveness to price changes and Panel B the most.
This is an excellent representation of where quality data sampling matters. At EMI, we prioritize strategically blending sample sources to balance demographics as well as behaviors and attitudes to ensure that we provide the most representative and accurate data. Download The Sample Landscape: 2024 Edition to better understand how panels differ from one another and how they impact your data.
