Millennial Marketing Statistics

GITNUXREPORT 2026

Millennial Marketing Statistics

With email still delivering $36 for every $1 spent and marketing automation adoption jumping to 58%, this page maps exactly where Millennial marketers are placing their bets and why. You will also see the near future of targeting powered by CRM growth forecast at $17.2B, plus the cost and performance pressure behind segmentation, AI content tools, and measurement teams spending $10k a year or more.

22 statistics22 sources5 sections5 min readUpdated 9 days ago

Key Statistics

Statistic 1

58% of marketers reported using marketing automation in 2023, suggesting growing automation adoption to scale targeting

Statistic 2

61% of marketers use customer segmentation, highlighting adoption of audience targeting techniques

Statistic 3

45% of marketers reported using AI tools for content creation in 2024, indicating adoption of AI-driven marketing workflows

Statistic 4

69% of US adults use social media, providing reach for millennial-targeted social campaigns

Statistic 5

62% of marketers reported relying on email marketing as a channel, showing email remains a core tactic for reaching customers

Statistic 6

58% of marketers say they generate content for marketing at least weekly, indicating high publishing cadence expectations

Statistic 7

$45.3B global email marketing software market size is forecast for 2024, reflecting tooling spend underpinning lifecycle marketing

Statistic 8

$17.2B customer relationship management (CRM) software market size is forecast for 2024 globally, enabling data-driven marketing

Statistic 9

$11.5B marketing automation market size is forecast for 2024 globally, showing investment in automation for targeting Millennials

Statistic 10

Email generates $36 for every $1 spent on email marketing, indicating strong ROI for a core channel for Millennials

Statistic 11

Short-form video ads can drive higher engagement, with 15–20% average completion rate reported for optimized short-form campaigns in 2023

Statistic 12

Companies that use lead nurturing see a 50% more sales-ready leads at a lower cost (or similar), indicating performance gains from lifecycle marketing

Statistic 13

Display ads average a click-through rate of about 0.07% as reported in industry benchmarks, informing performance expectations for display

Statistic 14

Video ads tend to have higher engagement rates, with typical benchmark average view rates ranging from 20% to 40% depending on placement (reported in 2023 benchmarks)

Statistic 15

Marketers spend $5,000-$10,000 annually per person on marketing software on average (reported ranges), showing adoption cost pressure

Statistic 16

A/B testing tools can cost $200-$1,000+ per month per workspace depending on scale, impacting experimentation budgets

Statistic 17

Email marketing platforms typically charge based on subscriber count and usage, with common entry tiers under $20/month, affecting SMB adoption

Statistic 18

Marketing automation platforms often price per contact with tiers commonly $100-$500/month, shaping budget allocations

Statistic 19

Data enrichment and CDP costs can range from hundreds to thousands per month depending on volume (reported in vendor pricing guides)

Statistic 20

Search advertising CPC benchmarks often range around $0.50-$2.00 in many industries, indicating cost structure for keyword targeting

Statistic 21

Retargeting audiences in programmatic display can increase CPM by 10%-50% versus prospecting, affecting ROI calculations

Statistic 22

Attribution and measurement tooling spend commonly exceeds $10k/year for mid-market teams (reported by industry vendor/analyst pricing disclosures)

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With the global email marketing software market forecast to hit $45.3B in 2024, and marketing automation expected to reach $11.5B, Millennial marketers are clearly doubling down on lifecycle tools that keep targeting sharp at scale. Yet the mix is getting more nuanced as 62% still rely on email, while 45% of marketers use AI for content creation and social reach jumps to 69% of US adults. Let’s look at how cadence, segmentation, and measurement choices are reshaping who gets the clicks and who ends up with sales-ready leads.

Key Takeaways

  • 58% of marketers reported using marketing automation in 2023, suggesting growing automation adoption to scale targeting
  • 61% of marketers use customer segmentation, highlighting adoption of audience targeting techniques
  • 45% of marketers reported using AI tools for content creation in 2024, indicating adoption of AI-driven marketing workflows
  • 62% of marketers reported relying on email marketing as a channel, showing email remains a core tactic for reaching customers
  • 58% of marketers say they generate content for marketing at least weekly, indicating high publishing cadence expectations
  • $45.3B global email marketing software market size is forecast for 2024, reflecting tooling spend underpinning lifecycle marketing
  • $17.2B customer relationship management (CRM) software market size is forecast for 2024 globally, enabling data-driven marketing
  • $11.5B marketing automation market size is forecast for 2024 globally, showing investment in automation for targeting Millennials
  • Email generates $36 for every $1 spent on email marketing, indicating strong ROI for a core channel for Millennials
  • Short-form video ads can drive higher engagement, with 15–20% average completion rate reported for optimized short-form campaigns in 2023
  • Companies that use lead nurturing see a 50% more sales-ready leads at a lower cost (or similar), indicating performance gains from lifecycle marketing
  • Marketers spend $5,000-$10,000 annually per person on marketing software on average (reported ranges), showing adoption cost pressure
  • A/B testing tools can cost $200-$1,000+ per month per workspace depending on scale, impacting experimentation budgets
  • Email marketing platforms typically charge based on subscriber count and usage, with common entry tiers under $20/month, affecting SMB adoption

Millennial marketers are doubling down on automation, email, and data driven tools, with strong ROI and rising software spend.

User Adoption

158% of marketers reported using marketing automation in 2023, suggesting growing automation adoption to scale targeting[1]
Directional
261% of marketers use customer segmentation, highlighting adoption of audience targeting techniques[2]
Single source
345% of marketers reported using AI tools for content creation in 2024, indicating adoption of AI-driven marketing workflows[3]
Verified
469% of US adults use social media, providing reach for millennial-targeted social campaigns[4]
Verified

User Adoption Interpretation

User adoption in Millennial marketing is clearly accelerating, with 69% of US adults already on social media and growing use of tactics like customer segmentation at 61% and marketing automation at 58%.

Market Size

1$45.3B global email marketing software market size is forecast for 2024, reflecting tooling spend underpinning lifecycle marketing[7]
Verified
2$17.2B customer relationship management (CRM) software market size is forecast for 2024 globally, enabling data-driven marketing[8]
Verified
3$11.5B marketing automation market size is forecast for 2024 globally, showing investment in automation for targeting Millennials[9]
Verified

Market Size Interpretation

For the Market Size angle, 2024 forecasts point to strong spending momentum with $45.3B in global email marketing software, $17.2B in CRM software, and $11.5B in marketing automation, signaling that lifecycle, data-driven, and automation tools are collectively fueling how marketers reach Millennials.

Performance Metrics

1Email generates $36 for every $1 spent on email marketing, indicating strong ROI for a core channel for Millennials[10]
Single source
2Short-form video ads can drive higher engagement, with 15–20% average completion rate reported for optimized short-form campaigns in 2023[11]
Verified
3Companies that use lead nurturing see a 50% more sales-ready leads at a lower cost (or similar), indicating performance gains from lifecycle marketing[12]
Verified
4Display ads average a click-through rate of about 0.07% as reported in industry benchmarks, informing performance expectations for display[13]
Verified
5Video ads tend to have higher engagement rates, with typical benchmark average view rates ranging from 20% to 40% depending on placement (reported in 2023 benchmarks)[14]
Directional

Performance Metrics Interpretation

Under performance metrics, Millennials are showing clear payoff trends such as email returning $36 for every $1 spent and lead nurturing delivering 50% more sales-ready leads, while short-form video holds 15 to 20% average completion rates and video view rates typically land in the 20 to 40% range.

Cost Analysis

1Marketers spend $5,000-$10,000 annually per person on marketing software on average (reported ranges), showing adoption cost pressure[15]
Verified
2A/B testing tools can cost $200-$1,000+ per month per workspace depending on scale, impacting experimentation budgets[16]
Verified
3Email marketing platforms typically charge based on subscriber count and usage, with common entry tiers under $20/month, affecting SMB adoption[17]
Verified
4Marketing automation platforms often price per contact with tiers commonly $100-$500/month, shaping budget allocations[18]
Single source
5Data enrichment and CDP costs can range from hundreds to thousands per month depending on volume (reported in vendor pricing guides)[19]
Verified
6Search advertising CPC benchmarks often range around $0.50-$2.00 in many industries, indicating cost structure for keyword targeting[20]
Verified
7Retargeting audiences in programmatic display can increase CPM by 10%-50% versus prospecting, affecting ROI calculations[21]
Single source
8Attribution and measurement tooling spend commonly exceeds $10k/year for mid-market teams (reported by industry vendor/analyst pricing disclosures)[22]
Directional

Cost Analysis Interpretation

Under cost analysis, Millennial marketers are facing rising tooling expenses, with marketing software averaging $5,000 to $10,000 per person annually and measurement tools often exceeding $10k per year, while even experimentation like A and B testing adds $200 to $1,000+ per month per workspace that can squeeze budgets.

How We Rate Confidence

Models

Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.

Single source
ChatGPTClaudeGeminiPerplexity

Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.

AI consensus: 1 of 4 models agree

Directional
ChatGPTClaudeGeminiPerplexity

Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.

AI consensus: 2–3 of 4 models broadly agree

Verified
ChatGPTClaudeGeminiPerplexity

All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.

AI consensus: 4 of 4 models fully agree

Models

Cite This Report

This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.

APA
James Okoro. (2026, February 13). Millennial Marketing Statistics. Gitnux. https://gitnux.org/millennial-marketing-statistics
MLA
James Okoro. "Millennial Marketing Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/millennial-marketing-statistics.
Chicago
James Okoro. 2026. "Millennial Marketing Statistics." Gitnux. https://gitnux.org/millennial-marketing-statistics.

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