Cross-Dataset Analysis · Strategic Synthesis

The Attention Economy

Three datasets. One story. What US consumer income trends, retail behavior, and streaming content strategy reveal about the market that Netflix is actually competing in.

Dashboard 01 · Streaming Dashboard 02 · E-Commerce Dashboard 03 · Market & Consumer
01 · Starting Point

The money in Americans' pockets has barely moved. Everything else has gotten more expensive.

Inflation-adjusted median household income in 2023 sits at $80,610 — meaningfully higher than 2022, but that recovery masks a decade of stagnation. Between 2010 and 2019, real income grew by roughly $10,000 over nine years. Then COVID erased the gains. Then inflation compressed what was left.

"Between 2019 and 2022, real household income fell three consecutive years — the longest sustained decline in the dataset."

This isn't a recession story. It's a structural one. Consumer spending reached $19.4T in 2023, but the composition of that spending tells you more than the total. Housing and healthcare together consume 51% of the average household budget before any discretionary dollar is allocated. Entertainment, at 5.5% of spending, is one of the most squeezable line items in the budget.

$80.6K
2023 Median Income
Inflation-adjusted (2023 dollars)
51%
Housing + Healthcare
Share of avg household spend
5.5%
Entertainment Share
Most discretionary major category
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Dashboard 03 · Market Data
Real Median Income vs Consumer Spending
US Census Bureau / BEA · Inflation-adjusted 2023 dollars
02 · The Shift

When wallets tightened, people didn't spend less. They spent differently.

Dashboard 02 · E-Commerce Data
E-Commerce Share of Total US Retail (2010–2024)
US Census Bureau · ECOMPCTSA series, seasonally adjusted

US e-commerce went from 4.2% of retail in 2010 to 16.1% in 2024 — a structural shift, not a trend. The COVID spike to 15.7% in Q2 2020 looked anomalous at the time. It wasn't. It was a preview.

The category leading that shift: nonstore retailers (think Amazon, DTC brands, and subscription commerce) hit $1.43T in annual sales in 2024, growing 7.2% year over year and outpacing every physical retail segment. Convenience and price transparency aren't just preferences anymore — they're the baseline expectation consumers bring to every subscription they consider, including streaming.

"Nonstore retail is now the single largest US retail category. The consumer has already voted with their wallet on where they want to shop."

The implication for subscription businesses is direct: a consumer who has optimized every retail purchase for value and convenience will apply that same lens to their $15–$25/month streaming subscriptions. Perceived value has never mattered more.

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03 · The Catalog

Netflix's content catalog isn't random. It mirrors exactly who has money to spend.

TV-MA and R-rated content accounts for nearly 46% of Netflix's entire catalog — a deliberate bet on adult subscribers with disposable income. TV-14 adds another 25%. Together, content rated for teens and adults represents more than 70% of all titles on the platform.

This isn't accidental. The median Netflix subscriber skews toward the same demographic that inflation has pressured most: working-age adults managing housing costs, healthcare expenses, and childcare — people who need entertainment that feels worth keeping.

"Dramas dominate at 2,427 titles — nearly 3x the next category. It's the genre with the highest rewatch value and the strongest driver of word-of-mouth subscriber acquisition."

Geography matters too. The US accounts for 37% of catalog titles, but India, UK, Japan, and South Korea are the fastest-growing contributors. As income pressure in the US squeezes discretionary spending, international content is both a cost-effective production strategy and a growth lever in markets where real wages are rising faster.

46%
TV-MA + R Content
Adult-targeted catalog share
2,427
Drama Titles
Largest single genre by volume
83
Content Countries
Global production footprint
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Dashboard 01 · Streaming Data
Netflix Content by Genre — Top 8
Netflix Movies & TV Shows public dataset · Kaggle
04 · So What

Three datasets. One strategic question: what keeps someone subscribed when money is tight?

The consumer that all three of these datasets describe is the same person. They've watched their real wages stagnate for a decade. They've moved their shopping online because it's cheaper and more efficient. They have roughly $1,000–$1,200/year in true discretionary entertainment budget after housing and healthcare. And they are making sharper decisions every year about which subscriptions survive the annual audit.

For Netflix, this context reframes every product and analytics question. Growth is no longer primarily an acquisition story — the addressable market in the US is largely saturated. It's a retention, engagement, and monetization story. The question isn't "how do we get more subscribers?" It's "how do we remain the last subscription they'd cancel?"

Retention Signal
With entertainment budgets under pressure, engagement depth matters more than breadth. One show someone loves is worth more than ten they've "heard of." Content analytics should weight completion rates and rewatch behavior heavily in investment decisions.
Pricing Sensitivity
The shift to ad-supported tiers maps directly onto income pressure data. The $6.99 tier is not a discount product — it's the product that keeps price-sensitive subscribers from churning entirely. Its engagement metrics deserve first-class analytical attention.
International Leverage
As US discretionary budgets compress, international markets with rising real incomes represent the highest-growth subscriber opportunity. Content strategy and product localization are as much growth levers as marketing spend.
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